id
stringlengths
14
25
title
stringlengths
13
378
abstract
stringlengths
73
8.77k
category
stringclasses
26 values
10.1101/2022.05.05.490828
Developmental dynamics of the postsynaptic proteome to understand synaptic maturation and dysmaturation
The postsynaptic density (PSD) is a protein condensate composed of [~]1,000 proteins beneath the postsynaptic membrane of excitatory synapses. The number, shape, and plasticity of synapses are altered during development. However, the dynamics of synaptic protein composition across development have not been fully understood. Here we show alterations of PSD protein composition in mouse and primate brains during development. Proteins involved in synapse regulation are enriched in the differentially expressed (288 decreased and 267 increased) proteins on mouse PSD after a 2-week-old. We find that the changes in PSD protein abundance in mouse brains correlate with gene expression levels in postnatal mice and perinatal primates. This alteration of PSD composition is likely to be defective in the brains of mouse models or patients with autism spectrum disorder (ASD). Finally, we demonstrate that the brain of the common marmoset (Callithrix jacchus) changes PSD composition after the juvenile period. The alteration of PSD composition after 2-month-old is distinct from that observed in mice. Our results provide a comprehensive architecture of the remodeling of PSD composition across development, which may explain the molecular basics of synapse maturation and the pathology of psychiatric disorders, such as ASD.
neuroscience
10.1101/2022.05.05.490828
Developmental dynamics of the postsynaptic proteome to understand synaptic maturation and dysmaturation
The postsynaptic density (PSD) is a protein condensate composed of [~]1,000 proteins beneath the postsynaptic membrane of excitatory synapses. The number, shape, and plasticity of synapses are altered during development. However, the dynamics of synaptic protein composition across development have not been fully understood. Here we show alterations of PSD protein composition in mouse and primate brains during development. Proteins involved in synapse regulation are enriched in the differentially expressed (288 decreased and 267 increased) proteins on mouse PSD after a 2-week-old. We find that the changes in PSD protein abundance in mouse brains correlate with gene expression levels in postnatal mice and perinatal primates. This alteration of PSD composition is likely to be defective in the brains of mouse models or patients with autism spectrum disorder (ASD). Finally, we demonstrate that the brain of the common marmoset (Callithrix jacchus) changes PSD composition after the juvenile period. The alteration of PSD composition after 2-month-old is distinct from that observed in mice. Our results provide a comprehensive architecture of the remodeling of PSD composition across development, which may explain the molecular basics of synapse maturation and the pathology of psychiatric disorders, such as ASD.
neuroscience
10.1101/2022.05.05.490760
Spinal cord extracts from sporadic ALS induce and propagate TDP-43 pathology in cerebral organoids
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder caused by progressive loss of motor neurons and there is currently no effective therapy. Cytoplasmic mislocalization and aggregation of TAR DNA-binding protein 43 kDa (TDP-43) within the CNS is a pathological hallmark in sporadic ALS and prion-like propagation of pathogenic TDP-43 is thought to be implicated in disease progression. However, cell-to-cell transmission of pathogenic TDP-43 in the human CNS has not been confirmed experimentally. Here we used induced pluripotent stem cells (iPSCs)-derived cerebral organoids as recipient CNS tissue model that are anatomically relevant human brain. We injected postmortem spinal cord protein extracts individually from three non-ALS or five sporadic ALS patients containing pathogenic TDP-43 into the cerebral organoids to validate the templated propagation and spreading of TDP-43 pathology in human CNS tissue. We first demonstrated that the administration of spinal cord extracts from an ALS patient induced the formation of TDP-43 pathology that progressively spread in a time-dependent manner in cerebral organoids, suggesting that pathogenic TDP-43 from ALS functioned as seeds and propagated cell-to-cell to form de novo TDP-43 pathology. We also reported that the administration of ALS patient-derived protein extracts caused astrocyte proliferation to form astrogliosis in cerebral organoids, reproducing the pathological feature seen in ALS. Moreover, we showed pathogenic TDP-43 induced cellular apoptosis and that TDP-43 pathology correlated with genomic damage due to DNA double-strand breaks. Thus, our results provide evidence that patient-derived pathogenic TDP-43 can mimic the prion-like propagation of TDP-43 pathology in human CNS tissue. Our findings indicate that our assays with human cerebral organoids that replicate ALS pathophysiology have a promising strategy for creating readouts that could be used in future drug discovery efforts against ALS.
neuroscience
10.1101/2022.05.05.490070
Interacting cortical gradients of neural timescales and functional connectivity and their relationship to perceptual behavior
Cognitive acts take place over a large range of temporal scales. Numerous corresponding gradients in neurodynamic timescales and long-range cortical interactions are believed to provide organizational constraints to the brain and influence neural populations' roles in cognition. However, it is unclear if gradients in various types of neural timescales and functional connectivity arise from related or distinct neurophysiological processes and if they influence behavior. Here, intracranial recordings from 4,090 electrode contacts in 35 individuals were used to systematically map gradients of multiple aspects of neurodynamics, neural timescales, and functional connectivity, and assess their interactions along category-selective ventral temporal cortex. Opposing functional connectivity gradients, with decreasing connectivity to visually responsive regions and increasing connectivity to regions that were not visually responsive, were observed along the ventral visual hierarchy. Endogenous neural timescales were correlated with functional connectivity to visually responsive regions after removing the effects of shared anatomical gradients, suggesting that these properties influence one another. Different stimulus evoked and endogenous timescales exhibited gradients with longer dynamics along the ventral visual hierarchy, but none of these timescales were significantly correlated with one another. This suggests that local neural timescales depend on neural and cognitive context and different timescales may arise through distinct neurophysiological processes. Furthermore, activity from neural populations with faster endogenous timescales and stronger functional connectivity to visually responsive regions was more predictive of perceptual behavior during a visual repeat detection task. These results reveal interrelationships and key distinctions among neural timescale and functional connectivity gradients that together can influence behavior.
neuroscience
10.1101/2022.05.05.490070
Interacting cortical gradients of neural timescales and functional connectivity and their relationship to perceptual behavior
Cognitive acts take place over a large range of temporal scales. Numerous corresponding gradients in neurodynamic timescales and long-range cortical interactions are believed to provide organizational constraints to the brain and influence neural populations' roles in cognition. However, it is unclear if gradients in various types of neural timescales and functional connectivity arise from related or distinct neurophysiological processes and if they influence behavior. Here, intracranial recordings from 4,090 electrode contacts in 35 individuals were used to systematically map gradients of multiple aspects of neurodynamics, neural timescales, and functional connectivity, and assess their interactions along category-selective ventral temporal cortex. Opposing functional connectivity gradients, with decreasing connectivity to visually responsive regions and increasing connectivity to regions that were not visually responsive, were observed along the ventral visual hierarchy. Endogenous neural timescales were correlated with functional connectivity to visually responsive regions after removing the effects of shared anatomical gradients, suggesting that these properties influence one another. Different stimulus evoked and endogenous timescales exhibited gradients with longer dynamics along the ventral visual hierarchy, but none of these timescales were significantly correlated with one another. This suggests that local neural timescales depend on neural and cognitive context and different timescales may arise through distinct neurophysiological processes. Furthermore, activity from neural populations with faster endogenous timescales and stronger functional connectivity to visually responsive regions was more predictive of perceptual behavior during a visual repeat detection task. These results reveal interrelationships and key distinctions among neural timescale and functional connectivity gradients that together can influence behavior.
neuroscience
10.1101/2022.05.05.490735
The modulation of acute stress on Model-Free and Model-Based reinforcement learning in Gambling Disorder
Background and aimsExperiencing acute stress is common in behavioral addictions such as gambling disorder. Additionally, like most substance-induced addictions, aberrant decision-making wherein a reactive habit-induced response (conceptualized as a Model-free [MF] in reinforcement learning) suppresses a flexible goal-directed response (conceptualized as a Model-based [MB]) is also common in gambling disorder. In the current study we investigated the influence of acute stress on the balance between habitual response and the goal-directed system. MethodsA sample of N = 116 pathological gamblers (PG) and healthy controls (HC) performed an acute stress task - the Socially Evaluated Cold pressure task (SECPT) - or a control task. Self-reported stress and salivary cortisol were collected as measures of acute stress. Following the SECPT, participants performed the Two-Step Markov Task to account for the relative contribution of MB and MF strategies. Additionally, verbal working-memory and IQ measures were collected to account for their mediating effects on the orchestration between MB/MF and the impact of stress. ResultsBoth groups had comparable baseline and stress-induced cortisol response to the SECPT. Non-stressed PG displayed lower MB learning than HC. MANOVA and regression analyses showed a deleterious effect of stress-induced cortisol response on the orchestration between MB and MF learning in HC but not in PG. Neither working memory nor IQ mediated these effects. Discussion and ConclusionsDespite normal cortisol response to stress, we found an abnormal pattern of modulation of stress on the orchestration between MB and MF learning among PG.
neuroscience
10.1101/2022.05.05.490697
TMEM106B is increased in Multiple Sclerosis plaques, and deletion causes accumulation of lipid after demyelination
During inflammatory, demyelinating diseases such as multiple sclerosis (MS) axonal damage is prevalent early in the disease course. Axonal damage includes swellings, defects in transport, and failure to clear damaged intracellular proteins, all of which affect recovery and compromise the integrity of neurons and remyelination. Autophagy and the clearance of damaged cell components by the proteasome are important for the maintenance of normal cellular turnover; and the restoration of cellular homeostasis. The gradual accumulation of insoluble proteins in the brain is known to impair recovery from several neurodegenerative diseases. In this study, we used mass spectrometry to identify insoluble proteins within high-speed, mercaptoethanol/sarcosyl-insoluble pellets from purified white matter plaques isolated from the brains of individuals with MS. We determined that insoluble transmembrane protein106B (TMEM106B), expressed in neurons and glia and normally lysosomal-associated, is increased in MS plaques relative to normal-appearing white matter from individuals with Alzheimers disease and non-neurologic controls. We found that decreased TMEM106B protein in mice results in significant axonal damage and lipid droplet accumulation in the spinal cord following chronic myelin oligodendrocyte glycoprotein-induced experimental autoimmune encephalomyelitis. When TMEM106Bt/t mice were treated with cuprizone to experimentally induce demyelination, a significant increase in lipid deposition was observed in the corpus callosum of TMEM106Bt/t mice post-cuprizone withdrawal. Our study shows that the brain and spinal cord from challenged TMEM106Bt/t mice accumulate OilRedO+/Perilipin2+ lipid droplets. We postulate that increased insolubility of TMEM106B in MS plaques limits debris clearance by the lysosome which over time contributes to failed remyelination and axonal defects. Abbreviated AbstractTransmembrane protein106B (TMEM106B), a lysosome-associated protein, is significantly less soluble in multiple sclerosis plaques than in white matter controls. Decreased TMEM106B produces significant axonal damage and lipid accumulation in mouse models of demyelinating diseases. TMEM106B insolubility and likely loss of function may limit lysosome transport and contribute to CNS pathology.
neuroscience
10.1101/2022.05.05.490750
Pathophysiology of Dyt1 dystonia is mediated by spinal cord dysfunction
Dystonia, a neurological disorder defined by abnormal postures and disorganised movements, is thought to be a neural circuit disorder with dysfunction arising within and between multiple brain regions. Given that spinal circuits are the de facto final common pathway for motor control, we sought to determine their contribution to the movement disorder. We confined a dystonia-related mutation to the spinal cord, which led to behavioural and physiological recapitulation of a severe form of inherited, early-onset, generalised dystonia. These data challenge our current understanding of dystonia, and lead to broader insights into spinal cord function and its involvement in movement disorder pathophysiology. One sentence summarySpinal Tor1a deletion causes severe early onset generalised dystonia, exposing spinal circuitopathy as a key factor in its pathophysiology.
neuroscience
10.1101/2022.05.05.490763
Manipulating the rapid consolidation periods in a learning task affects general skills more than statistical learning
Memory consolidation processes have always been thought to cover up extended periods and have traditionally been investigated from the perspective of hours or days. However, the latest developments in memory research showed that memory stabilization processes could occur even within seconds. Here, we investigate this rapid form of consolidation during statistical learning. We aim to answer (a) whether this rapid offline improvement occurs in implicit statistical learning and general skill learning and (b) whether the duration of rest periods affects these two learning types differently. Participants performed a widely used statistical learning task - the Alternating Serial Reaction Time (ASRT) task - that enables us to measure implicit statistical and general skill learning separately. The ASRT task consisted of 25 learning blocks with a rest period between the blocks. In a between-subjects design, the length of the rest periods was fixed at 15 or 30 seconds, or the participants could control the length themselves. We found that the duration of rest periods does not affect the acquisition of statistical knowledge, but they do change the dynamics of learning in a way that learning is more likely to occur online in the case of certain fixed breaks. Moreover, we found weaker general skill learning in the self-paced group than in the fixed rest period groups (i.e., 15 and 30-second breaks). These results suggest that distinct learning processes are differently affected by the duration of short rest periods.
neuroscience
10.1101/2022.05.05.490645
Inter-scanner brain MRI volumetric biases persist even in a harmonized multi-subject study of multiple sclerosis
Background/PurposeMulticenter study designs involving a variety of MRI scanners have become increasingly common. However, these present the issue of biases in image-based measures due to scanner or site differences. To assess these biases, we imaged 11 volunteers with multiple sclerosis (MS) with scan and rescan data at 4 sites. Materials and MethodsImages were acquired on Siemens or Philips scanners at 3-tesla. Automated white matter lesion detection and whole brain, gray and white matter, and thalamic volumetry were performed, as well as expert manual delineations of T1 and T2 (FLAIR) lesions. Random effect and permutation-based nonparametric modeling was performed to assess differences in estimated volumes within and across sites. ResultsRandom effect modeling demonstrated model assumption violations for most comparisons of interest. Non-parametric modeling indicated that site explained > 50% of the variation for most estimated volumes. This expanded to > 75% when data from both Siemens and Philips scanners were included. Permutation tests revealed significant differences between average inter- and intra-scanner differences in most estimated brain volumes (P < .05). The automatic activation of spine coil elements during some acquisitions resulted in a shading artifact in these images. Permutation tests revealed significant differences between thalamic volume measurements from acquisitions with and without this artifact. ConclusionDifferences in brain volumetry persisted across MR scanners despite protocol harmonization. These differences were not well explained by variance component modeling; however, statistical innovations for mitigating inter-scanner differences show promise in reducing biases in multi-center studies of MS.
neuroscience
10.1101/2022.05.05.490831
Feature-space selection with banded ridge regression
Encoding models provide a powerful framework to identify the information represented in brain recordings. In this framework, a stimulus representation is expressed as a feature space and is used in a regularized linear regression to predict brain activity. To account for a potential complementarity of different feature spaces, a joint model is fit on multiple feature spaces simultaneously. To adapt regularization strength to each feature space, ridge regression is extended to banded ridge regression, which optimizes a different regularization hyperparameter per feature space. The present paper proposes a method to decompose over feature spaces the variance explained by a banded ridge regression model. It also describes how banded ridge regression performs a feature-space selection, effectively ignoring non-predictive and redundant feature spaces. This feature-space selection leads to better prediction accuracy and to better interpretability. Banded ridge regression is then mathematically linked to a number of other regression methods with similar feature-space selection mechanisms. Finally, several methods are proposed to address the computational challenge of fitting banded ridge regressions on large numbers of voxels and feature spaces. All implementations are released in an open-source Python package called Himalaya.
neuroscience
10.1101/2022.05.05.490820
Multicomponent Pseudomonas aeruginosa vaccines eliciting Th17 cells and functional antibody responses confer enhanced protection against experimental acute pneumonia in mice
The Gram-negative pathogen Pseudomonas aeruginosa is a common cause of pneumonia in hospitalized patients. Its increasing antibiotic resistance and widespread occurrence present a pressing need for vaccines. We previously showed that a P. aeruginosa type III secretion system protein, PopB elicits a strong Th17 response in mice after intranasal (IN) immunization and confers antibody-independent protection against pneumonia in mice. In the current study, we evaluated the immunogenicity and protective efficacy in mice of the combination of PopB (purified with its chaperone protein PcrH) and OprF/I, an outer membrane hybrid fusion protein, compared to immunization with the proteins individually either by the intranasal (IN) or subcutaneous (SC) routes. Our results show that after vaccination, a Th17 recall response from splenocytes was detected only in mice vaccinated with PopB/PcrH, either alone or in combination with OprF/I. Mice that were immunized with the combination of PopB/PcrH and OprF/I had enhanced protection in an acute lethal P. aeruginosa pneumonia model, regardless of vaccine route, compared to the mice vaccinated the with either alone or adjuvant control. Immunization generated IgG titers against the vaccine proteins and whole P. aeruginosa cells. Interestingly, none of these antisera had opsonophagocytic killing activity, but antisera from mice immunized with vaccines containing OprF/I had the ability to block IFN-{gamma} binding to OprF/I, a known virulence mechanism. Hence, vaccines combining PopB/PcrH with OprF/I that elicit functional antibodies lead to a broadly and potently protective vaccine against P. aeruginosa pulmonary infections.
immunology
10.1101/2022.05.05.489569
Non-invasive Fluorescence Imaging of Gut Commensal Bacteria in Live Mice
In mammals, gut commensal microbiota interact extensively with the host and the same interactions can be dysregulated in diseased states. The development of methods to monitor gut microbiota in vivo can lead to improved foundational understanding of the biological events underpinning these interactions. The current standard for non-invasive monitoring of gut bacteria entails classification by 16S rRNA sequencing from fecal samples. This method has many advantages but also has serious limitations, especially for monitoring dynamic changes in the gut of live animals. In recent years, several imaging techniques have been widely adopted that afford non-invasive assessment of animal subjects - most notably in cancer biology; however, these technical gains have not translated to the imaging of gut bacterial communities. Herein, we describe a method to non-invasively image commensal bacteria based on the specific metabolic labeling of bacterial cell walls to illuminate the gut bacteria of live mice. This tagging strategy may additionally provide unprecedented insight into cell wall turnover of gut commensals, which has implications for bacterial cellular growth and division, in a live animal.
microbiology
10.1101/2022.05.05.490800
The microtubule minus end-binding protein CAMSAP2 does not regulate microtubule dynamics in primary pancreatic β-cells but facilitates insulin secretion
Glucose stimulation induces the remodeling of microtubules in Islet {beta}-cells to potentiate glucose-stimulated insulin secretion. CAMSAP2 is a microtubule minus-end binding protein and is reported to stabilize and position microtubules in several non-{beta}-cells, such as human retinal pigment epithelium cells. In immortalized insulinoma MIN6 cells, CAMSAP2 binds to and forms short stretches at microtubule minus ends in the cytoplasm, which is consistent with the reported subcellular localization and functions of CAMSAP2 in non-{beta}-cells. Surprisingly, we found that CAMSAP2 expressed in primary islet {beta}-cells does not form short stretches in the cytoplasm, but instead is localized to the Golgi apparatus. This novel localization is specific to {beta}-but not -cells in islets and it is independent of MT-binding. Knockdown of CAMSAP2 by shRNA impairs Golgi-ER trafficking, reduces total insulin content, and attenuates GSIS without affecting the MT dynamics or releasability of insulin granules in islet {beta}-cells. Corresponding to these results, we found that primary islets and MIN6 cells express different CAMSAP2 isoforms. We propose that primary islet {beta} cells use a novel CAMSAP2 isoform for a MT-independent non-canonical function, which is to promote Golgi-ER trafficking that supports efficient production of insulin secretory granules.
cell biology
10.1101/2022.05.05.490754
Testicular macrophages are recruited during a narrow time window by fetal Sertoli cells to promote organ-specific developmental functions
While macrophages are most commonly known for their roles in innate immunity, a growing body of evidence supports the idea that fetal-derived tissue-resident macrophages play developmental roles during organogenesis. In the testis, it has long been proposed that macrophages are important players in steroidogenesis and other testicular functions, but which macrophage populations are involved is unclear. We previously showed that macrophages play critical roles in fetal testis morphogenesis and reported the presence of 2 unique adult testicular macrophage populations, interstitial and peritubular. There has been some debate regarding the hematopoietic origins of testicular macrophages and whether distinct macrophage populations promote specific testicular functions. Here we have undertaken an extensive lineage-tracing study of mouse hematopoietic cells. We found that, while yolk-sac-derived macrophages comprise the earliest testicular macrophages, fetal hematopoietic stem cells (HSCs) give rise to monocytes that colonize the gonad during a narrow time window in mid-gestation, after which time HSCs no longer contribute to testicular macrophages. These long-lived monocytes, over the course of fetal and postnatal life, differentiate into testicular macrophages. Our data indicate that Sertoli cells, and not germ cells, are required for recruitment of immune cells and peritubular macrophage differentiation. Finally, we show that yolk-sac-derived macrophages and HSC-derived macrophages play distinct roles in testis cord morphogenesis, whereas interstitial macrophages promote adult Leydig cell proliferation and steroid production. Overall, our findings offer clarity regarding the origins of testicular macrophages and provide insight into the diversity of their tissue-specific developmental roles.
developmental biology
10.1101/2022.05.05.490780
Field margins as substitute habitat for the conservation of birds in agricultural wetlands
Breeding birds in agricultural landscapes have declined considerably since the 1950s and the beginning of agricultural intensification in Europe. Given the increasing pressure on agricultural land, it is necessary to identify conservation measures that consume little productive land. We tested the hypothesis that field margins represent substitute habitats for bird species in agricultural wetlands. We monitored bird species in 86 crop fields in rice paddy landscapes of Camargue (southern France), a wetland of international importance for birds. We investigated whether the area of three types of field margins (grass strips, hedgerows and reed strips) within a 500 m buffer around each studied crop field had an effect on the abundance of three groups of birds defined based on their primary habitat (reedbeds, grasslands, and forest edge species). We controlled for the area of each semi-natural habitat (wetlands, grasslands, and woodlands), crop diversity and mean crop field size. Our study confirms that bird guilds are favored by the cover of their primary habitat but are also influenced by the cover of field margins. Reedbed birds are favored by the cover of wetlands and reed strips, grassland birds are favored by the cover of grasslands and wetlands and negatively impacted by the cover of woodlands and hedgerows, while forest edge birds are favored by the cover of hedgerows and negatively impacted by the cover of reed strips. These results suggest that field margins may represent substitute habitats for reedbed and forest edge bird species and highlight their importance for biodiversity conservation in wetland agricultural landscapes. However, our results also suggest that increasing the area of hedgerows and reed strips may have a negative effect on grassland birds and forest edge birds, respectively. Recommendations for field margin management in agricultural wetlands should therefore be tailored to local conservation priorities.
ecology
10.1101/2022.05.05.490786
Association of variants in ACE, ACTN3, AGT, IL6 and BDKRB2 genes with athlete status and playing position in Colombian amateur rugby athletes
Genetic polymorphisms are involved in different metabolic pathways that are manifested at the physiological level and have been associated with specific phenotypes in sport from anthropometric and functional characterizations that pose conditional and physiological demands for the rugby athlete. The identification of this type of polymorphisms in athletes represents a resource that contributes significantly to the processes of training, selection and sports orientation. The purpose of this study was to describe type and frequencies of allelic and genotypic variants in ACTN3, ACE, AGT, BDRKB2 and IL6 genes in sub elite rugby athletes in Colombia. Additionally, the polymorphisms found were compared with a control population, as well as contrasted according to playing position backs and forwards. In this research, 47 individuals from the Vallecaucana rugby league and 67 from a control group (non-athletes) were sampled. All were analyzed for polymorphisms in the ACE, AGT, ACTN3, IL6 and BDKRB2 genes, using the PCR RFLPs technique. The significance of the differences between the experimental and control groups was tested by the X2 test (p <0.05). In rugby athletes we found a higher frequency of allele D (0.883) ACE gene, allele R (0.63) ACTN3 gene, allele G (0.819) IL6 gene, all associated with strength and power sports. There are significant genotypic differences between athletes and the control population in all the genes analyzed and significant allelic differences in the ACE, ACTN3, BDRKB2 and IL6 genes. When comparing the playing positions (backs vs. forwards), significant genotypic differences were observed in the ACTN3, BDRKB2, AGT and IL6 genes. At the allelic level, the R and X alleles of the ACTN3 gene and the I allele of the ACE gene show significant differences. In conclusion, in the polymorphisms analyzed, an association with strength sports, explosive strength and rugby is observed. Significant genotypic and allelic differences were also recorded between the backs and forwards positions, as well as significant differences in the allelic and genotypic structure between the group of athletes and the control population.
genetics
10.1101/2022.05.05.490773
Optical mapping compendium of structural variants across global cattle breeds
Structural variants (SV) have been linked to several important bovine disease phenotypes, but due to the difficulty of their accurate detection with standard sequencing approaches, their role in shaping economically important traits across global cattle breeds is largely unexplored. Optical mapping is an alternative approach for mapping SVs that has been shown to have higher sensitivity than DNA sequencing approaches. The aim of this project was to use optical mapping to develop a high quality database of structural variation across cattle breeds from different geographical regions and origins, to enable further studies of the important roles of SV in cattle. To do this we generated 100X Bionano optical mapping data for 18 cattle of nine different ancestries, three continents and covering both major cattle lineages. In total we identified 13,457 SVs, of which 1,200 putatively overlap a coding region. This resource therefore provides a high-quality set of optical mapping-based SV calls that can be used across studies, from validating DNA sequencing based SV calls to prioritising candidate functional variants in genetic association studies and expanding our understanding of the role of SVs in the evolution of cattle.
genomics
10.1101/2022.05.05.490834
Promiscuous feeding across multiple honey bee hosts amplifies the vectorial capacity of Varroa destructor
Varroa destructor is a cosmopolitan pest and leading cause of colony loss of the European honey bee. Historically described as a competent vector of honey bee viruses, this arthropod vector is cause for the global pandemic of Deformed wing virus, now endemic in honeybee populations. Our work shows viral spread is driven by Varroa actively switching from one adult bee to another as they feed. Assays using fluorescent microspheres were used to show the movement of fluids in both directions between host and vector when Varroa feed. Therefore, Varroa could be in either an infectious or naive state dependent upon the disease status of their host. We tested this and confirm that the relative risk of a Varroa feeding was dependent on the infectiousness of their previous host. Varroa exhibit remarkable heterogeneity in their host switching behavior, with some Varroa switching infrequently while others switch at least daily. As a result, relatively few of the most active Varroa parasitize the majority of bees. This multiple feeding behavior has analogs in vectorial capacity models of other systems, where promiscuous feeding by individual vectors is a leading driver of vectorial capacity. We propose that the honeybee-Varroa relationship offers a unique opportunity to apply principles of vectorial capacity to a social organism, as virus transmission is both vectored and occurs through multiple host-to-host routes common to a crowded society.
animal behavior and cognition
10.1101/2022.05.05.490734
Structure and mechanism of a novel cytomegaloviral DCAF mediating interferon antagonism
Human cytomegalovirus (CMV) is a highly relevant pathogen, and its rodent counterparts serve as common infection models. Global proteome profiling of rat CMV-infected cells uncovered a pronounced loss of the transcription factor STAT2, which is crucial for interferon signalling. Deletion mutagenesis documented that STAT2 is targeted by the viral protein E27. Cellular and in vitro analyses showed that E27 exploits host-derived Cullin4-RING ubiquitin ligases (CRL4) to induce poly-ubiquitylation and proteasomal degradation of STAT2. Cryo-electron microscopic structure determination revealed how E27 mimics molecular surface properties of cellular CRL4 substrate receptors (DDB1- and Cullin4-associated factors, DCAFs) to displace them from the CRL4 catalytic core. Moreover, structural analyses elucidated the mechanism of STAT2 recruitment and indicate that E27-binding additionally disturbs STAT2 activation by occupying the IRF9 binding interface. For the first time, these data provide structural insights into cytomegalovirus-encoded interferon antagonism and establish an atomic model for STAT2 counteraction by CRL4 misappropriation with important implications for viral immune evasion.
biochemistry
10.1101/2022.05.05.490069
Gaining insight into the allometric scaling of trees by utilizing 3d reconstructed tree models - a SimpleForest study
Forestry utilizes volume predictor functions utilizing as input the diameter at breast height. Some of those functions take the power form Y = a * Xb. In fact this function is fundamental for the biology field of allometric scaling theories founded round about a century ago. The theory describes the relationships between organs/body parts and the complete body of organisms. With digital methods we can generate 3d forest point clouds non destructively in short time frames. SimpleForest is one free available tool which generates fully automated ground and tree models from high resoluted forest plots. Generated topological ordered cylinder models are called commonly QSMs. We use SimpleForest QSMs an build a function which estimates the total supported wood volume at any given point of the tree. As input we use the supported soft wood volume for those query points. Instead of measuring directly the soft wood volume we use as a proxy the number of supported twigs. We argue with the pipe model theory for the correctness of the proxy. We can use the named relationship to also filter our QSMs made of an open data set of tree clouds. The filter corrects overestimated radii. And we compare the corrected QSM volume against the harvested reference data for 66 felled trees. We also found QSM data of TreeQSM, a competitive and broadly accepted QSM modeling tool. Our RMSE was less than 40% of the tree QSM RMSE. And for other error measures, the r2adj. and the CCC, the relative improvement looked even better with 27% and 21% respectively. We consider this manuscript as highly impactful because of the magnitude of quality improvement we do. The relation between soft volume and total volume distributions seems to be really strong and tree data can easily also be used as example data for the generic field of allometric scaling.
bioinformatics
10.1101/2022.05.05.490789
Auxin Plays a Role in the Adaptation of Rice to Anaerobic Germination and Seedling Establishment
Auxin is well known to stimulate coleoptile elongation and rapid seedling growth in the air. However, its role in regulating rice germination and seedling establishment under submergence is largely unknown. Previous studies have shown that excessive levels of IAA frequently cause the inhibition of plant growth and development. In the present study, the high-level accumulation of endogenous IAA is observed under submergence in the dark, stimulating rice coleoptile elongation but limiting the root and primary leaf growth during anaerobic germination (AG). We found that oxygen and light can reduce IAA levels, promote the seedling establishment and enhance rice AG tolerance. miRNA microarray profiling and RNA gel blot analysis results show that the expression of miR167 is negatively regulated by submergence; it subsequently modulates the accumulation of free IAA through the miR167-ARF-GH3 pathway. The OsGH3-8 encodes an IAA-amido synthetase that functions to prevent free IAA accumulation. Reduced miR167 levels or overexpressing OsGH3-8 increase auxin metabolism, reduce endogenous levels of free IAA and enhance rice AG tolerance. The present study reveals that poor seed germination and seedling growth inhibition resulting from excessive IAA accumulation would cause intolerance to submergence in rice, suggesting that a certain threshold level of auxin is essential for rice AG tolerance.
plant biology
10.1101/2022.05.05.490733
Cross-link assisted spatial proteomics to map sub-organelle proteomes and membrane protein topology
The specific functions of cellular organelles and sub-compartments depend on their protein content, which can be characterized by spatial proteomics approaches. However, many spatial proteomics methods are limited in their ability to resolve organellar sub-compartments, profile multiple sub-compartments in parallel, and/or characterize membrane-associated proteomes. Here, we develop a cross-link assisted spatial proteomics (CLASP) strategy that addresses these shortcomings. Using human mitochondria as a model system, we show that CLASP can elucidate spatial proteomes of all mitochondrial sub-compartments and provide topological insight into the mitochondrial membrane proteome in a single experiment. Biochemical and imaging-based follow-up studies demonstrate that CLASP allows discovering mitochondria-associated proteins and revising previous protein sub-compartment localization and membrane topology data. This study extends the scope of cross-linking mass spectrometry beyond protein structure and interaction analysis towards spatial proteomics, establishes a method for concomitant profiling of sub-organelle and membrane proteomes, and provides a resource for mitochondrial spatial biology.
systems biology
10.1101/2022.05.05.489571
Commonality of Odorant Receptor Choice Mechanism Revealed by Analysis of a Highly Represented Odorant Receptor Transgene
In the mouse, more than 1,100 odorant receptors (ORs) are expressed in a monogenic and monoallelic fashion, referred to as singular gene expression. Using a 21bp singular-choice enhancer (x21), we radically increase representation of olfactory sensory neurons (OSNs) choosing a 5x21 enhanced OR transgene, but not overexpression of its mRNA on a per cell basis. RNA-sequencing and differential expression analysis identified 425 differentially expressed genes (DEGs). ORs make up 86% of all DEGs, of which 325 have decreased representation and 40 have increased representation. Underrepresented ORs include Class I, Class II and TAAR genes and within each of their respective olfactory bulb domains: DI, DII, and DIII (TAAR) we committedly observe multiple homogeneous glomeruli with an OR1A1-identity. The underrepresentation of endogenous, class-specific ORs across evolutionarily distinct cell types in favor of the expression of the 5x21-OR1A1 transgene argues that a common mechanism of singular gene choice is present for all OR-expressing OSNs.
neuroscience
10.1101/2022.05.05.490797
Nitrogen palaeo-isoscapes: Changing spatial gradients of faunal δ15N in late Pleistocene and early Holocene Europe
Nitrogen isotope ({delta}15N) analysis of animal tissue is widely used in archaeology and palaeoecology to investigate diet and ecological niche. Data interpretations require an understanding of nitrogen isotope compositions at the base of the food web (baseline {delta}15N). Significant variation in animal {delta}15N has been recognised at various spatiotemporal scales and linked to changes both in baseline {delta}15N and animal ecology. Isoscapes (models of isotope spatial variation) have proved a useful tool for investigating spatial variability in biogeochemical cycles in present-day marine and terrestrial ecosystems, but so far, their application to palaeo-data has been limited. Here, we present time-sliced nitrogen isoscapes for late Pleistocene and early Holocene Europe (c. 50,000 to 10,000 years BP) using herbivore collagen {delta}15N data. This period covers the Last Glacial-Interglacial Transition, during which significant variation in the terrestrial nitrogen cycle occurred. Our results show clear changes in spatial gradients of {delta}15N through time. Prediction of the lowest faunal {delta}15N values in northern latitudes after, rather than during, the Last Glacial Maximum is consistent with the Late Glacial Nitrogen Excursion (LGNE). We consider the potential of incorporating climatic covariate data into isoscape models but find their inclusion does not improve model performance. These findings have implications for investigating the drivers of the LGNE, which has been linked to increased landscape moisture and permafrost thaw, and for understanding changing isotopic baselines, which are fundamental for studies investigating diets, niche partitioning, and migration of higher trophic level animals.
biochemistry
10.1101/2022.05.05.490797
Nitrogen palaeo-isoscapes: Changing spatial gradients of faunal δ15N in late Pleistocene and early Holocene Europe
Nitrogen isotope ({delta}15N) analysis of animal tissue is widely used in archaeology and palaeoecology to investigate diet and ecological niche. Data interpretations require an understanding of nitrogen isotope compositions at the base of the food web (baseline {delta}15N). Significant variation in animal {delta}15N has been recognised at various spatiotemporal scales and linked to changes both in baseline {delta}15N and animal ecology. Isoscapes (models of isotope spatial variation) have proved a useful tool for investigating spatial variability in biogeochemical cycles in present-day marine and terrestrial ecosystems, but so far, their application to palaeo-data has been limited. Here, we present time-sliced nitrogen isoscapes for late Pleistocene and early Holocene Europe (c. 50,000 to 10,000 years BP) using herbivore collagen {delta}15N data. This period covers the Last Glacial-Interglacial Transition, during which significant variation in the terrestrial nitrogen cycle occurred. Our results show clear changes in spatial gradients of {delta}15N through time. Prediction of the lowest faunal {delta}15N values in northern latitudes after, rather than during, the Last Glacial Maximum is consistent with the Late Glacial Nitrogen Excursion (LGNE). We consider the potential of incorporating climatic covariate data into isoscape models but find their inclusion does not improve model performance. These findings have implications for investigating the drivers of the LGNE, which has been linked to increased landscape moisture and permafrost thaw, and for understanding changing isotopic baselines, which are fundamental for studies investigating diets, niche partitioning, and migration of higher trophic level animals.
paleontology
10.1101/2022.05.05.490838
The PCI domains are "winged" HEAT domains
The HEAT domains are a family of helical hairpin repeat domains, composed of four or more hairpins. HEAT is derived from the names of four family members: huntingtin, eukaryotic translation elongation factor 3 (eEF3), protein phosphatase 2 regulatory A subunit (PP2A), and mechanistic target of rapamycin (mTOR). HEAT domain-containing proteins play roles in a wide range of cellular processes, such as protein synthesis, nuclear transport and metabolism, and cell signaling. The PCI domains are a related group of helical hairpin domains, with a "winged-helix" (WH) subdomain at their C-terminus, which is responsible for multi-subunit complex formation with other PCI domains. The name is derived from the complexes, where these domains are found: the Proteasome "lid" regulatory subcomplex, the COP9 signalosome (CSN), and eukaryotic translation initiation factor 3 (eIF3). We noted that in structure homology searches using HEAT domains, sometimes PCI domains appeared in the search results ahead of other HEAT domains, which indicated that the PCI domains could be members of the HEAT domain family, and not a related but separate group. Here, we report extensive structure homology analysis of HEAT and PCI domains, both within and between the two groups of proteins. We present evidence that the PCI domains as a group have greater structural homology with individual groups of HEAT domains than some of the HEAT domain groups have among each other. Therefore, our results indicate that the PCI domains have evolved from a HEAT domain that acquired a WH subdomain. The WH subdomain in turn mediated selfassociation into a multi-subunit complex, which eventually evolved into the common ancestor of the Proteasome lid/CSN/eIF3.
bioinformatics
10.1101/2022.05.05.490838
The PCI domains are "winged" HEAT domains
The HEAT domains are a family of helical hairpin repeat domains, composed of four or more hairpins. HEAT is derived from the names of four family members: huntingtin, eukaryotic translation elongation factor 3 (eEF3), protein phosphatase 2 regulatory A subunit (PP2A), and mechanistic target of rapamycin (mTOR). HEAT domain-containing proteins play roles in a wide range of cellular processes, such as protein synthesis, nuclear transport and metabolism, and cell signaling. The PCI domains are a related group of helical hairpin domains, with a "winged-helix" (WH) subdomain at their C-terminus, which is responsible for multi-subunit complex formation with other PCI domains. The name is derived from the complexes, where these domains are found: the Proteasome "lid" regulatory subcomplex, the COP9 signalosome (CSN), and eukaryotic translation initiation factor 3 (eIF3). We noted that in structure homology searches using HEAT domains, sometimes PCI domains appeared in the search results ahead of other HEAT domains, which indicated that the PCI domains could be members of the HEAT domain family, and not a related but separate group. Here, we report extensive structure homology analysis of HEAT and PCI domains, both within and between the two groups of proteins. We present evidence that the PCI domains as a group have greater structural homology with individual groups of HEAT domains than some of the HEAT domain groups have among each other. Therefore, our results indicate that the PCI domains have evolved from a HEAT domain that acquired a WH subdomain. The WH subdomain in turn mediated selfassociation into a multi-subunit complex, which eventually evolved into the common ancestor of the Proteasome lid/CSN/eIF3.
bioinformatics
10.1101/2022.05.05.490795
Comparative study between radiofrequency- and muscimol-induced inhibition of cultured networks of cortical neuron
Previous studies have shown that spontaneously active cultured networks of cortical neuron grown planar microelectrode array are sensitive to radiofrequency (RF) fields and exhibit an inhibitory response more pronounced as the exposure time and power increase. To better understand the mechanism behind the observed effects, we aimed at identifying similarities and dissimilarities between the inhibitory effect of RF fields (continuous wave, 1800 MHz) to the {gamma}-Aminobutyric acid type A (GABAA) receptor agonist muscimol (MU). Inhibition of network bursting activity in response to RF exposure became apparent at an SAR level of 28.6 W/kg and co-occurred with an elevation of the culture medium temperature of [~]1 {degrees}C. Differently to a pharmacological inhibition with MU, exposure to RF fields preferentially inhibits bursting over spiking activity and exerts less constrains on neural network bursting synchrony. Network rebound excitation, a phenomenon relying on intrinsic properties of cortical neurons, was observed consecutively to the removal of tonic hyperpolarization after washout of MU but not in response to cessation of RF exposure which implies that hyperpolarization is not the main driving force mediating the inhibitory effects of RF fields. At the level of single neurons, network inhibition induced by MU and RF fields occurred with reduced action potential (AP) half-width. As change in AP waveform tightly influence efficiency of synaptic transmission, the narrowing effect on AP seen under RF exposure might contribute to reduce network bursting activity. By pointing only to a partial overlap between the inhibitory hallmarks of these two forms of inhibition, our data suggest that the inhibitory mechanisms of action of RF fields differ from the ones mediated by the activation of GABAA receptor. The rapid onset of the inhibitory effect of RF fields and its reversibility strikingly similar to MU are in favour of a mechanism interacting with fast operating targets at the membrane such as ion channels.
neuroscience
10.1101/2022.05.05.490839
RORβ modulates a gene program that is protective against articular cartilage damage
Osteoarthritis (OA) is the most prevalent chronic joint disease which increases in frequency with age eventually impacting most people over the age of 65. OA is the leading cause of disability and impaired mobility, yet the pathogenesis of OA remains unclear. Treatments have focused mainly on pain relief and reducing joint swelling. Currently there are no effective treatments to slow the progression of the disease and to prevent irreversible loss of cartilage. Here we demonstrate that stable expression of ROR{beta} in cultured cells results in alteration of a gene program that is supportive of chondrogenesis and is protective against development of OA. Specifically, we determined that ROR{beta} regulates the balance of FGFRs signaling on FGFR1/FGFR3 that ERK1/2-MAPK signaling was suppressed by FGFR1(cartilage destruction) and AKT signaling was enhanced by FGFR3 (cartilage protection). These results suggest a critical role for ROR{beta} in chondrogenesis and suggest that identification of mechanisms that control the expression of ROR{beta} in chondrocytes could lead to the development of disease modifying therapies for the treatment of OA.
cell biology
10.1101/2022.05.05.490846
Single cell transcriptomics of ferrets reveal a common temporal pattern of progenitors in brain development of gyrencephalic mammals
The diversity of neural stem cells is a hallmark of gyrencephalic brains, including that in humans. Ferrets are an excellent model to study the complex brain development in gyrencephalic mammals, but information on their neural progenitor subtypes is fragmentary. Here, we investigated the temporal series of single-cell transcriptomes of progenitors in developing cortices in ferrets for comparison with human datasets. We found that the diversity and temporal trajectory of neural progenitors, termed radial glia (RG), are well conserved between ferrets and humans. Truncated RG (tRG), a progenitor subtype previously described in humans, and outer RG-like cells were assigned to ferret transcriptomes. In vivo and transcriptome analyses indicated that ferret tRG are generated via asymmetric RG divisions during late neurogenesis, and suggested that tRG is eventually fated to ependymal and glial populations. Therefore, the combined analyses of human and ferret transcriptomes enable the determination of progenitor fate sequences in vivo.
developmental biology
10.1101/2022.05.05.490762
Histone deacetylase 1 maintains lineage integrity through histone acetylome refinement during early embryogenesis
Histone acetylation is a pivotal epigenetic modification that controls chromatin structure and regulates gene expression. It plays an essential role in modulating zygotic transcription and cell lineage specification of developing embryos. While the outcomes of many inductive signals have been described to require enzymatic activities of histone acetyltransferases and deacetylases (HDACs), the mechanisms by which HDACs confine the utilization of the zygotic genome remain to be elucidated. Here, we show that histone deacetylase 1 (Hdac1) progressively binds to the zygotic genome from mid blastula and onward. The recruitment of Hdac1 to the genome at blastula is instructed maternally. Cis-regulatory modules (CRMs) bound by Hdac1 possess epigenetic signatures underlying distinct functions. We highlight a dual function model of Hdac1 where Hdac1 not only represses gene expression by sustaining a histone hypoacetylation state on inactive chromatin, but also maintains gene expression through participating in dynamic histone acetylation-deacetylation cycles on active chromatin. As a result, Hdac1 maintains differential histone acetylation states of bound CRMs between different germ layers and reinforces the transcriptional program underlying cell lineage identities, both in time and space. Taken together, our study reveals a comprehensive role for Hdac1 during early vertebrate embryogenesis.
genomics
10.1101/2022.05.05.490826
Spermine inhibits PAMP- elicited ROS and Ca2+ burst and reshapes the transcriptional landscape of PTI in Arabidopsis
Polyamines are small polycationic amines which levels increase during defense. Previous studies support the contribution of the polyamine spermine (Spm) to the establishment of the hypersensitive response (HR) during incompatible plant-pathogen interactions. However, the potential contribution of Spm to other layers of defense, and pathogen-associated molecular pattern (PAMP)-triggered immunity (PTI) in particular, was not completely established. Here we compared the contribution of Spm and putrescine (Put) to early and late PTI responses. We find that Put and Spm show opposite effects on PAMP-elicited reactive oxygen species (ROS) production, with Put increasing whereas Spm lowering flg22-stimulated ROS burst. Through genetic and pharmacological approaches, we find that the inhibitory effect of Spm on flg22-elicited ROS is independent of polyamine oxidation and EDS1 (ENHANCED DISEASE SUSCEPTIBILITY 1), PAD4 (PHYTOALEXIN DEFICIENT 4), salicylic acid and NPR1 (NONEXPRESSER OF PR GENES 1) defense components but resembles chemical inhibition of RBOHD (RESPIRATORY BURST OXIDASE HOMOLOG D) function. Remarkably, Spm can also suppress ROS elicited by FLS2-independent but RBOHD-dependent pathways, thus pointing to compromised RBOHD function. Consistent with this, we find that Spm dampens flg22-stimulated cytosolic Ca2+ influx necessary for RBOHD function and reshapes the transcriptional landscape of PTI and defense responses against Pseudomonas syringae pv. tomato DC3000. Overall, we provide molecular evidence for the differential contribution of Put and Spm to PTI with an impact on plant defense.
plant biology
10.1101/2022.05.04.490707
Chemotherapy drugs induce different gut microbiota disorder pattern and NODs/RIP2/NF-κB signaling pathway activation that lead to different degrees of intestinal injury
5-Fluorouracil (5-FU), irinotecan (CPT-11), oxaliplatin (L-OHP) and calcium folinate (CF) are the widely used chemotherapy drugs to treat colorectal cancer. However, the use of chemotherapy is often accompanied by intestinal inflammation and gut microbiota disorder. Moreover, the change of gut microbiota may lead to destruction of the intestinal barrier, which contributes to the severity of intestinal injury. There was no detailed comparison of intestinal injury and gut microbiota disorder among 5-FU, CPT-11, L-OHP and CF, which is not benefit for the development of targeted detoxification therapy after chemotherapy. In this project, a model of chemotherapy-induced intestinal injury in tumor-bearing mice was established by intraperitoneal injection of chemotherapy drugs at a clinically equivalent dose. 16S rDNA sequencing was used to detect gut microbiota. We found that 5-FU, CPT-11 and L-OHP caused intestinal injury, inflammatory cytokine (IFN-{gamma}, TNF-, IL-1{beta}, and IL-6) secretion, and gut microbiota disorder. Importantly, we established a complex but clear network between the gut microbiota change pattern and intestinal damage degree induced by different chemotherapy drugs. L-OHP caused the most severe damage in intestine and disorder of gut microbiota, and showed considerable overlap of the microbiota change pattern with 5-FU and CPT-11. The phylogenetic investigation of communities by reconstruction of unobserved states, V1.0 (PICRUSt) analysis showed that the microbiota disorder pattern induced by 5-FU, CPT-11 and L-OHP was related to the NOD like signaling pathway. Therefore, we detected the protein expression of the NODs/RIP2/NF-{kappa}B signaling pathway and found that L-OHP activated that pathway highest. Furthermore, by RDA/CCA analysis, we found that Bifidobacterium, Akkermansia, Allobaculum, Catenibacterium, Mucispirillum, Turicibacter, Helicobacter, Proteus, Escherichia Shigella, Alloprevotealla, Vagococcus, Streptococcus and Candidatus Saccharimonas were highly correlated with the NODs/RIP2/NF-{kappa}B signaling pathway, and influenced by chemotherapy drugs. IMPORTANCEThe chemotherapy-induced intestinal injury limit drugs clinical use. Intestinal injury involves multiple signaling pathways and the disruption of microbiota. Our results suggest that the degree of intestinal injury caused by different drugs of the first-line colorectal chemotherapy regimen is related to the change pattern of microbiota. Moreover, the NODs/RIP2/NF-{kappa}B signaling pathway was activated in different degrees is also related to the change pattern of microbiota. We found L-OHP caused the most severe change of gut microbiota, and showed considerable overlap of the microbiota changes pattern with 5-FU and CPT-11. Here, we have established a network of different chemotherapy drugs, gut microbiota and NODs/RIP2/NF-{kappa}B signaling pathway, which may provide a new basis for further elucidating the mechanism and clinical treatment of intestinal injury caused by chemotherapy.
molecular biology
10.1101/2022.05.05.490827
Semi-automated protocol to quantify and characterize fluorescent, 3D vascular images
The microvasculature facilitates gas exchange, provides nutrients to cells, and regulates blood flow in response to stimuli. Vascular abnormalities are an indicator of pathology for various conditions, such as compromised vessel integrity in small vessel disease and angiogenesis in tumors. Traditional immunohistochemistry enables visualization of tissue cross-sections containing exogenously labeled vasculature. Although this approach can be utilized to quantify vascular changes within small fields-of-view, it is not a practical way to study the vasculature on the scale of whole organs. Three-dimensional (3D) imaging presents a more appropriate method to visualize the vascular architecture in tissue. Here we describe the complete protocol that we use to characterize the vasculature of different organs in mice encompassing the methods to fluorescently label vessels, optically clear tissue, collect 3D vascular images, and quantify these vascular images with a semi-automated approach. To validate the automated segmentation of vascular images, one user manually segmented fifty random regions of interest across different vascular images. The automated segmentation results had an average sensitivity of 80{+/-}8% and an average specificity of 90{+/-}5% when compared to manual segmentation. Applying this procedure of image analysis presents a method to reliably quantify and characterize vascular networks in a timely fashion. This procedure is also applicable to other methods of tissue clearing and vascular labels that generate 3D images of microvasculature.
bioengineering
10.1101/2022.05.05.490785
Next generation sequencing analysis of gastric cancer identifies the leukemia inhibitory factor receptor (LIFR) as a driving factor in gastric cancer progression and as a predictor of poor prognosis
Gastric cancer (GC) is the third cause of cancer-related-death worldwide. Nevertheless, because GC screening programs are not cost-effective, most patients receive diagnosis in the advanced stages, when surgical options are limited because the presence of diffuse disease. Peritoneal dissemination occurs in approximately one third of patients with GC and is a strong predictor of poor outcome. Despite the clinical relevance, biological and molecular mechanisms underlying the formation of peritoneal metastasis in GC remain poorly defined. To investigate this point, we conducted a high-throughput sequencing of transcriptome expression in paired samples of normal and neoplastic gastric mucosa in 31 GC patients with or without peritoneal carcinomatosis. The RNAseq analysis led to the discovery of a group of highly upregulated or downregulated genes that were differentially modulated in patients with peritoneal disease in comparison to GC patients without peritoneal involvement. Among these genes the leukemia inhibitory factor receptor (LIFR) and the one cut domain family member (ONECUT)2 were the only two genes that predicted survival at univariate statistical analysis. Because LIFR was the highest regulated gene we have further assessed whether this receptor plays a mechanistic role in GC dissemination. For this purpose, we have first assessed the expression of LIF, a member of IL-6 cytokine family, and LIFR in GC cell lines. Our results demonstrate that exposure of MKN45 cells to LIF, promoted a concentration-dependent proliferation and epithelial-mesenchymal transition (EMT) as shown by modulation of E-cadherin/vimentin gene expression along with JAK and STAT 3 phosphorylation and acquisition of a migratory phenotype. These features were reversed by in vitro treatment with a LIFR antagonist. Together, these data provide support to the notion that development of LIF/LIFR inhibitors might have a role in the treatment of GC.
cancer biology
10.1101/2022.05.05.490808
A QuantCrit investigation of society's educational debts due to racism, sexism, and classism in biology student learning
We investigated the intersectional relationships between racism, sexism, and classism in inequities in student conceptual knowledge in introductory biology courses using a quantitative critical framework. Using Bayesian hierarchical linear models, we examined students conceptual knowledge as measured by the Introductory Molecular and Cell Biology Assessment. The data came from the LASSO database and included 6,547 students from 87 introductory courses at 11 institutions. The model indicated that students with marginalized identities by race, gender, and class tended to start with lower scores than continuing-generation, White men. We conceptualized these differences as educational debts society owed these students due to racism, sexism, and classism. Instruction added to these educational debts for most marginalized groups, with the largest increases for students with multiple marginalized identities. After instruction, society owed Black and Hispanic, first-generation women an educational debt equal to 60-80% of the average learning in the courses. These courses almost all (85/87) used collaborative learning and half (45/87) supported instruction with learning assistants. While research shows collaborative learning better serves students than lecture-based instruction, these results indicate it does not repay educational debts due to racism, sexism, and classism.
scientific communication and education
10.1101/2022.05.04.490680
A unique epigenomic landscape defines CD8+ tissue-resident memory T cells
Memory T cells provide rapid and long-term protection against infection and tumors. The memory CD8+ T cell repertoire contains phenotypically and transcriptionally heterogeneous subsets with specialized functions and recirculation patterns. While these T cell populations have been well characterized in terms of differentiation potential and function, the epigenetic changes underlying memory T cell fate determination and tissue-residency remain largely unexplored. Here, we examined the single-cell chromatin landscape of CD8+ T cells over the course of acute viral infection. We reveal an early bifurcation of memory precursors displaying distinct chromatin accessibility and define epigenetic trajectories that lead to a circulating (TCIRC) or tissue-resident memory T (TRM) cell fate. While TRM cells displayed a conserved epigenetic signature across organs, we demonstrate that these cells exhibit tissue-specific signatures and identify transcription factors that regulate TRM cell populations in a site-specific manner. Moreover, we demonstrate that TRM cells and exhausted T (TEX) cells are distinct epigenetic lineages that are distinguishable early in their differentiation. Together, these findings show that TRM cell development is accompanied by dynamic alterations in chromatin accessibility that direct a unique transcriptional program resulting in a tissue-adapted and functionally distinct T cell state. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=192 HEIGHT=200 SRC="FIGDIR/small/490680v1_ufig1.gif" ALT="Figure 1"> View larger version (56K): [email protected]@1febe9corg.highwire.dtl.DTLVardef@1941dd2org.highwire.dtl.DTLVardef@131dc58_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIscATAC atlas reveals the epigenetic variance of memory CD8+ T cell subsets over the course of acute infection C_LIO_LIEarly bifurcation of memory precursors leads to circulating versus tissue-resident cell fates C_LIO_LIIntegrating transcriptional and epigenetic analyses identified organ-specific TRM cell regulators including HIC1 and BACH2 C_LIO_LIEpigenetic distinction of TRM cells and TEX cell subsets C_LI
immunology
10.1101/2022.05.05.490714
Identification of viral dose and administration time in simulated phage therapy occurrences
The rise in multidrug-resistant bacteria has sprung a renewed interest in applying phages as antibacterial, a procedure Western practitioners eventually abandoned due to several downfalls, including poor understanding of the dynamics between phages and bacteria. A successful phage therapy needs to account for the loss of infective virions and the multiplication of the hosts. The parameters critical inoculation size (VF) and failure threshold time (TF) have been introduced to assure that the viral dose (v{phi}) and administration time (t{phi}) would lead to an effective treatment. The problem with the definition of VF and TF is that they are non-linear equations with two unknowns; thus, their solution is cumbersome and not unique. The current study used machine learning in the form of a decision tree algorithm to determine ranges for the viral dose and administration times required to achieve an effective phage therapy. Within these ranges, a Pareto optimal solution of a multi-criterial optimization problem (MCOP) provides values leading to effective treatment. The algorithm was tested on a series of microbial consortia that described allochthonous invasions (the outgrowing of a species at high cell density by another species initially present at low concentration) to inhibit the growth of the invading species. The present study also introduced the concept of mediated phage therapy, where targeting a booster bacteria might decrease the virulence of a pathogen immune to phagial infection. The results demonstrated that the MCOP could provide pairs of v{phi} and t{phi} that could effectively wipe out the bacterial target from the considered micro-environment. In summary, the present work introduced a novel method for investigating the phage/bacteria interaction that could help increase the effectiveness of phage therapy. Author summaryPhage therapy is a treatment that can help fight infections with bacteria resistant to antibiotics. However, several phage therapy application have failed, possibly because phages were administered at the wrong time or in insufficient amounts. The present study implemented a machine learning protocol to correctly calculate the administration time and viral load to obtain effective phage therapy. Four simulated microbial consortia, including one case where the pathogen was not directly a phages host, were employed to prove the procedures concept. The results demonstrated that the procedure is suitable to help the microbiologists to instantiate an effective phage therapy and clear infections.
microbiology
10.1101/2022.05.05.490812
Molecular insights into the effect of alkanediols on FUS liquid-liquid phase separation
Numerous cell biology studies have used high concentrations of 1,6-hexanediol to dissolve membraneless organelles and disordered protein biomolecular condensates. Yet, little is known about how alkanediols effect liquid-liquid phase separation (LLPS), and why certain alkanediol isomers are more effective. Here, we evaluate the effect of various alkanediols on the archetypal phase separating protein FUS. Low-complexity domain and full-length FUS LLPS is decreased varyingly, while LLPS of FUS RGG-RNA condensates is even enhanced by some alkanediols. NMR experiments show that all diols act similarly, correlating atomistic changes with LLPS-preventing effects. Furthermore, we find no evidence for specific residue interactions - the largest perturbations are seen at backbone and glutamine side-chain hydrogen bonding sites, not hydrophobic/aromatic residues. Furthermore, 1,6 hexanediol favors formation of protein-solvent hydrogen bonds and increases FUS local motions. These findings show how alkanediols affect water-disordered protein interactions, underscoring the difficulty in using alkanediol-derivatives to target dissolution of specific membraneless organelles.
biochemistry
10.1101/2022.05.06.490211
Skull and scalp segmentation in neonatal cerebral MRI using subject-specific probability models
This study presents a new approach for the segmentation of cranial bones in magnetic resonance images (MRIs) acquired from neonates in the age range of 39 to 42 weeks, gestational age. This approach uses subject specific probability maps of the skull and scalp, which are created from atlas computed tomography (CT) images taken retrospectively from neonates in the same age range. Our method uses also a subject specific probability map of cerebrospinal fluid (CSF), which is constructed from retrospective atlas MRIs. To construct skull, scalp and CSF probability maps, a subject specific bimodal MR-CT neonatal head template is created (using atlas MR and CT images), and employed. In the next step, the subject specific probability maps are fed to expectation maximization algorithm in conjunction with Markov random field method implemented in FSL software to segment skull and scalp from the input MR image. The results of the proposed method were evaluated through various experiments. First, we computed the similarity between frontal and occipital sutures (reconstructed from segmented cranial bones) and the ground truth (created manually by an expert radiologist). For this purpose, modified versions of Dice similarity index (DSI) were adopted and used. Second, the size of anterior fontanel was compared to its normal size as reported for the neonates in the same age range. Third, the thickness of cranial bones was computed and compared to its normal values as reported for healthy neonates. Finally, a retrospective data including MRI and CT images was used which have been acquired from the same neonate within a short time interval. After aligning the two images, the similarity between cranial bones of the MR and CT image was compared using DSI and modified Hausdorff distance. The results of these experiments demonstrated the success of our segmentation method.
bioengineering
10.1101/2022.05.05.487569
Systematic benchmarking of all-in-one microbial SNP calling pipelines
Clinical and public health microbiology is increasingly utilising whole genome sequencing (WGS) technology and this has lead to the development of a myriad of analysis tools and bioinformatics pipelines. Single nucleotide polymorphism (SNP) analysis is an approach used for strain characterisation and determining isolate relatedness. However, in order to ensure the development of robust methodologies suitable for clinical application of this technology, accurate, reproducible, traceable and benchmarked analysis pipelines are necessary. To date, the approach to benchmarking of these has been largely ad-hoc with new pipelines benchmarked on their own datasets with limited comparisons to previously published pipelines. In this study, Snpdragon, a fast and accurate SNP calling pipeline is introduced. Written in Nextflow, Snpdragon is capable of handling small to very large and incrementally growing datasets. Snpdragon is benchmarked using previously published datasets against six other all-in-one microbial SNP calling pipelines, Lyveset, Lyveset2, Snippy, SPANDx, BactSNP and Nesoni. The effect of dataset choice on performance measures is demonstrated to highlight some of the issues associated with the current available benchmarking approaches. The establishment of an agreed upon gold-standard benchmarking process for microbial variant analysis is becoming increasingly important to aid in its robust application, improve transparency of pipeline performance under different settings and direct future improvements and development. Snpdragon is available at https://github.com/FordeGenomics/SNPdragon. Impact statementWhole-genome sequencing has become increasingly popular in infectious disease diagnostics and surveillance. The resolution provided by single nucleotide polymorphism (SNP) analyses provides the highest level of insight into strain characteristics and relatedness. Numerous approaches to SNP analysis have been developed but with no established gold-standard benchmarking approach, choice of bioinformatics pipeline tends to come down to laboratory or researcher preference. To support the clinical application of this technology, accurate, transparent, auditable, reproducible and benchmarked pipelines are necessary. Therefore, Snpdragon has been developed in Nextflow to allow transparency, auditability and reproducibility and has been benchmarked against six other all-in-one pipelines using a number of previously published benchmarking datasets. The variability of performance measures across different datasets is shown and illustrates the need for a robust, fair and uniform approach to benchmarking. Data SummaryO_LIPreviously sequenced reads for Escherichia coli O25b:H4-ST131 strain EC958 are available in BioProject PRJNA362676. BioSample accession numbers for the three benchmarking isolates are: O_LIEC958: SAMN06245884 C_LIO_LIMS6573: SAMN06245879 C_LIO_LIMS6574: SAMN06245880 C_LI C_LIO_LIAccession numbers for reference genomes against the E. coli O25b:H4-ST131 strain EC958 benchmark are detailed in table 2. C_LIO_LISimulated benchmarking data previously described by Yoshimura et al. is available at http://platanus.bio.titech.ac.jp/bactsnp (1). C_LIO_LISimulated datasets previously described by Bush et al. is available at http://dx.doi.org/10.5287/bodleian:AmNXrjYN8 (2). C_LIO_LIReal sequencing benchmarking datasets previously described by Bush et al. are available at http://dx.doi.org/10.5287/bodleian:nrmv8k5r8 (2). C_LI O_TBL View this table: [email protected]@af9421org.highwire.dtl.DTLVardef@1261244org.highwire.dtl.DTLVardef@793b42org.highwire.dtl.DTLVardef@1217387_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2.C_FLOATNO O_TABLECAPTIONReference genomes used in the EC958 benchmarking dataset and the percent identity against the three included samples. C_TABLECAPTION C_TBL
bioinformatics
10.1101/2022.05.05.490801
Automated systematic evaluation of cryo-EM specimens with SmartScope
Propelled by improvements in hardware for data collection and processing, single particle cryo-electron microscopy has rapidly gained relevance in structural biology. Yet, finding the conditions to stabilize a macromolecular target for imaging remains the most critical barrier to determining its structure. Attaining the optimal specimen requires the evaluation of multiple grids in a microscope as conditions are varied. While automation has significantly increased the speed of data collection, optimization is still carried out manually. This laborious process which is highly dependent on subjective assessments, inefficient and prone to error, often determines the success of a project. Here, we present SmartScope, the first framework to streamline, standardize, and automate specimen evaluation in cryo-electron microscopy. SmartScope employs deep-learning-based object detection to identify and classify features suitable for imaging, allowing it to perform thorough specimen screening in a fully automated manner. A web interface provides remote control over the automated operation of the microscope in real time and access to images and annotation tools. Manual annotations can be used to re-train the feature recognition models, leading to improvements in performance. Our automated tool for systematic evaluation of specimens streamlines structure determination and lowers the barrier of adoption for cryo-electron microscopy.
biophysics
10.1101/2022.05.05.490796
An interactive mass spectrometry atlas of histone posttranslational modifications in T-cell acute leukemia
The holistic nature of omics studies makes them ideally suited to generate hypotheses on health and disease. Sequencing-based genomics and mass spectrometry (MS)-based proteomics are linked through epigenetic regulation mechanisms. However, epigenomics is currently mainly focused on DNA methylation status using sequencing technologies, while studying histone posttranslational modifications (hPTMs) using MS is lagging, partly because reuse of raw data is impractical. Yet, targeting hPTMs using epidrugs is an established promising research avenue in cancer treatment. Therefore, we here present the most comprehensive MS-based preprocessed hPTM atlas to date, including 21 T-cell acute lymphoblastic leukemia (T-ALL) cell lines. We present the data in an intuitive and browsable single licensed Progenesis QIP project and provide all essential quality metrics, allowing users to assess the quality of the data, edit individual peptides, try novel annotation algorithms and export both peptide and protein data for downstream analyses, exemplified by the PeptidoformViz tool. This data resource sets the stage for generalizing MS-based histone analysis and provides the first reusable histone dataset for epidrug development.
cancer biology
10.1101/2022.05.06.489506
M2-polarized macrophages control LSC fate by enhancing stemness, homing, immune evasion and metabolic reprogramming
While it is increasingly becoming clear that cancers are a symbiosis of diverse cell types and tumor clones, the tumor microenvironment (TME) in acute myeloid leukemias (AML) remains poorly understood. Here, we uncover the functional and prognostic relevance of an M2-polarized macrophage compartment. Intra bone marrow co-injection of M2d-macrophages together with leukemic blasts that fail to engraft on their own now induce fatal leukemia in mice. Even a short-term two-day in vitro exposure to M2d macrophages can "train" leukemic blasts after which cells are protected against phagocytosis, display increased mitochondrial metabolism and improved in vivo homing, resulting in full-blown leukemia. Single-cell RNAseq analysis of AML associated macrophages revealed metabolic-related pathways such as Fatty Acid Oxidation and NAD+ generation as therapeutical targetable vulnerabilities. Our study provides insight into the mechanisms by which the immune landscape contributes to aggressive leukemia development and provides alternatives for effective targeting strategies.
cancer biology
10.1101/2022.05.05.490851
Nav1.1 in mammalian sensory neurons is required for normal motor behaviors
AO_SCPLOWBSTRACTC_SCPLOWThe mammalian voltage-gated sodium channel (NaV), NaV1.1, has been well-studied in the central nervous system; conversely, its contribution to peripheral sensory neuron function is more enigmatic. Here, we report a new role for peripherally expressed NaV1.1 in murine motor behaviors. RNAscope analysis found 100% of proprioceptors express NaV1.1 transcript, consistent with in vitro patch clamp recordings showing this channel is required for repetitive firing in proprioceptors. Notably, genetic deletion of NaV1.1 in all sensory neurons caused profound motor coordination deficits in homozygous conditional knockout animals of both sexes, a phenotype similar to conditional Piezo2-knockout animals. Movement deficits were also observed in heterozygotes, demonstrating that NaV1.1 haploinsufficiency in sensory neurons leads to motor deficiencies. This behavioral phenotype was not due to reduced proprioceptor numbers or abnormal muscle spindle formation; however, we observed decreased proprioceptor innervation of motor neurons in the spinal cord in conditional knockouts, indicating loss of NaV1.1 in sensory neurons alters spinal cord circuitry. Ex vivo muscle afferent recordings also support the notion that loss of NaV1.1 leads to aberrant proprioceptor function. Collectively, these data provide the first evidence that NaV1.1 in mammalian sensory neurons is essential for motor coordination. Importantly, human patients harboring NaV1.1 loss-of-function mutations often present with motor delays and ataxia. Thus, our data suggest sensory neuron dysfunction may contribute to the clinical manifestations and co-morbidities of neurological disorders in which NaV1.1 function is compromised.
neuroscience
10.1101/2022.05.05.490829
Probabilistic Tracking U-fiber on the Superficial White Matter Surface
The short association fibers or U-fibers connect two neighboring gyri and travel in the superficial white matter (SWM) beneath the cortical layer. These U-fibers are essential for the understanding of neurodevelopment and neurodegeneration. However, the complex structures and the high curvature of the U-fibers lead to erroneous streamlines reconstruction of the traditional tractography since the volume-based tractography cannot use the biological characteristic of U-fibers that they tightly beneath the cortical layer. In this work, we proposed a surface-based framework for probabilistic tracking of the U-fibers on the triangular mesh of the SWM. We develop a novel approach to project the fiber orientation distributions (FODs) data onto the tangent space of the SWM surface. With the projected FODs, an advanced probabilistic tracking technique, which regularizes the streamlines based on the intrinsic geometry of the surface, is developed to reconstruct the highly bent U-fibers on the SWM surface. In the experiment, we demonstrate our method based on the high-resolution diffusion imaging data from the Human Connectome Project (HCP). We quantitatively compare the proposed method with state-of-the-art volume-based tractography from MRTrix and another surface-based tractography on the U-fibers of the central sulcus. Moreover, we show the reconstructed U-fibers on the parietal lobe and frontal lobe. The results show that our method outperforms the other two methods and successfully reconstructs the U-fibers on the cortical regions with high intersubject variability.
neuroscience
10.1101/2022.05.05.490857
Bacterial association with metals enables in vivo tracking of microbiota using magnetic resonance imaging
Bacteria constitute a significant part of the biomass of the human microbiota, but their interactions are complex and difficult to replicate outside the host. Exploiting the superior resolution of magnetic resonance imaging (MRI) to examine signal parameters of selected human isolates may allow tracking of their dispersion throughout the body. We investigated longitudinal and transverse MRI relaxation rates and found significant differences between several bacterial strains. Common commensal strains of lactobacilli display notably high MRI relaxation rates, partially explained by outstanding cellular manganese content, while other species contain more iron than manganese. Lactobacillus crispatus show particularly high values, 4-fold greater than any other species; over 10-fold greater signal than relevant tissue background; and a linear relationship between relaxation rate and fraction of live cells. Different bacterial strains have detectable, repeatable MRI relaxation rates that in future may enable tracking of their persistence in the human body for enhanced molecular imaging. IMPORTANCE To understand how spatial and temporal distribution of microbiota impact human health, dynamic tools for monitoring microbiota landscapes inside the host are needed. Particularly when considering the complexity of the gastrointestinal tract and the microbiota that dwell within, tools for monitoring deep segments of the gut non-invasively are required. Medical imaging provides solutions that enable the study of microorganisms in their preferred niche regardless of health status. To bootstrap this technology, we investigated the magnetic resonance imaging (MRI) properties of bacterial isolates and showed that outstanding signal detection is an inherent property of several strains. Among these, we showed that bacteria relying on manganese metabolism have an MRI characteristic that is distinct from mammalian cells. Our findings will lead to direct and safe imaging of bacteria; influence how we monitor both infection and gut health; and help direct the use of antibiotics to curtail the growing threat of antibiotic resistance.
microbiology
10.1101/2022.05.05.490855
Acinetobacter baumannii and cefiderocol between cidality and adaptability
Among the bacterial species included in the ESKAPE group, Acinetobacter baumannii is of great interest due to its intrinsic and acquired resistance to many antibiotic classes and its ability to infect different body districts. Cefiderocol is a novel cephalosporin active against Gram-negative bacteria with promising efficacy on A. baumannii infections, but some studies have reported therapeutic failures even in the presence of susceptible A. baumannii strains. This study aims to investigate the interactions between cefiderocol and ten A. baumannii strains with different susceptibility profiles to this drug. We confirmed diverse susceptibility profiles in the strains, with resistance values close to the EUCAST-proposed breakpoints. MBC/MIC (minimal bactericidal concentration/minimal inhibitory concentration) ratios, demonstrated bactericidal activity of the drug; on the other hand, bacterial regrowth was evident after exposition to cefiderocol, as were changes in the shape of colonies and bacterial cells. A switch to a non-susceptible phenotype in the presence of high cefiderocol concentrations was found as adaptation mechanisms implemented by these A. baumannii strains to overcome the cidal activity of this antibiotic, also confirmed by the presence of heteroresistant, unstable subpopulations. As our isolates harbored numerous {beta}-lactamase genes, {beta}-lactamase inhibitors showed the ability to restore the antimicrobial activity of cefiderocol regardless of the different non-susceptibility levels of the tested strains. These in vitro results, can sustain the concept of using combination therapy to eliminate drug-adapted subpopulations and regain full cefiderocol activity in this difficult-to-treat species.
microbiology
10.1101/2022.05.05.490854
Polyimidazolium protects against an invasive clinical isolate of Salmonella Typhimurium
Frequent outbreaks of Salmonella Typhimurium infection in both the animal and human population with potential for zoonotic transmission pose a significant threat to the public health sector. The rapid emergence and spread of more invasive multidrug-resistant clinical isolates of Salmonella further highlight the need for the development of new drugs with effective broad-spectrum bactericidal activities. Synthesis and evaluation of main-chain cationic polyimidazolium 1 (PIM1) against several gram-positive and gram-negative bacteria have previously demonstrated the efficacy profile of PIM1. The present study focuses on antibacterial and anti-biofilm activities of PIM1 against Salmonella both in vitro and in ovo setting. In vitro, PIM1 exhibited bactericidal activity against all tested three strains of Salmonella at a low dosage of 8 g/ml. Anti-biofilm activity of PIM1 was evident with complete inhibition for the initial attachment of biofilms at 16 g/ml and degradation of pre-formed biofilms in a dose-dependent manner. During the host cell infection process, PIM1 reduces extracellular bacterial adhesion and invasion rates to limit the establishment of infection. Once intracellular, the drug-resistant strain was tolerant and protected from PIM1 treatment. In a chicken egg infection model, PIM1 exhibited therapeutic activity for both Salmonella strains with stationary-phase and exponential-phase inocula. Moreover, PIM1 showed a remarkable efficacy against the stationary phase inocula of drug-resistant Salmonella by eliminating the bacteria burden in >50% of infected chicken egg embryos. Collectively, PIM1 has demonstrated its potential as a drug candidate for treatment of Salmonella infections, as well as a solution to tackle egg contamination issues on poultry farms.
microbiology
10.1101/2022.05.05.490856
Serine Deamination as a New Acid Resistance Mechanism in Escherichia coli
Escherichia coli associates with humans early in life and can occupy several body niches either as a commensal in the gut and vagina, or as a pathogen in the urinary tract. As such, E. coli has an arsenal of acid response mechanisms that allow it to withstand the different levels of acid stress encountered within and outside the host. Here, we report the discovery of an additional acid response mechanism that involves the deamination of L-serine to pyruvate by the conserved L-serine deaminases SdaA and SdaB. L-serine is the first amino acid to be imported in E. coli during growth in laboratory media, as the culture senesces. However, there remains a lack in knowledge as to why L-serine is preferred and how it is utilized. We show that in acidified media, L-serine is brought into the cell via the SdaC transporter and deletion of both SdaA and SdaB renders E. coli susceptible to acid stress, with a phenotype similar to other acid stress deletion mutants. We also show that the pyruvate produced by L-serine de-amination activates the pyruvate sensor BtsS, which in concert with the non-cognate response regulator YpdB upregulates the putative transporter YhjX, similar to what has been reported for this system during transition of E. coli to stationary phase. Based on these observations, we propose that L-serine deamination constitutes another acid response mechanism in E. coli that may function to protect E. coli as it transitions to stationary phase of growth. IMPORTANCEThe observation that L-serine uptake occurs as an E. coli culture senesces is well-established, yet the benefit E. coli garners from this uptake remains unclear. Here, we report a novel acid resistance mechanism, where L-serine is deaminated to pyruvate and ammonia, promoting acid tolerance in E. coli. This study is important as it provides evidence of the use of L-serine as an acid response strategy, not previously reported for E. coli.
microbiology
10.1101/2022.05.05.490853
Development of recombinant monoclonal antibodies targeting conserved VlsE epitopes in Lyme disease pathogens
VlsE (variable major protein-like sequence, expressed) is an outer surface protein of the Lyme disease pathogen (Borreliella species) and a key diagnostic biomarker of Lyme disease. However, the high sequence variability of VlsE poses a challenge to the development of consistent VlsE-based diagnostics and therapeutics. In addition, the standard diagnostic protocols detect immunoglobins elicited by the Lyme pathogen, not the presence of pathogen or its derived antigens. Here we describe the development of recombinant monoclonal antibodies (rMAbs) that bind specifically to conserved epitopes on VlsE. We first quantified amino-acid sequence variability encoded by the vls genes from thirteen B. burgdorferi genomes by evolutionary analyses. We showed broad inconsistencies of the sequence phylogeny with the genome phylogeny, indicating rapid gene duplications, losses, and recombination at the vls locus. To identify conserved epitopes, we synthesized peptides representing five long conserved invariant regions (IRs) on VlsE. We tested the antigenicity of these five IR peptides using sera from three mammalian host species including human patients, the natural reservoir white-footed mouse (Peromyscus leucopus), and VlsE-immunized New Zealand rabbits (Oryctolagus cuniculus). The IR4 and IR6 peptides emerged as the most antigenic and reacted strongly with both the human and rabbit sera, while all IR peptides reacted poorly with sera from natural hosts. Four rMAbs binding specifically to the IR4 and IR6 peptides were identified, cloned, and purified. Given their specific recognition of the conserved epitopes on VlsE, these IR-specific rMAbs are promising diagnostic and theragnostic agents for direct detection of Lyme disease pathogens regardless of strain heterogeneity.
microbiology
10.1101/2022.05.05.490810
Condensation of the fusion focus by the intrinsically disordered region of the formin Fus1 is essential for cell-cell fusion
Spatial accumulation of secretory vesicles underlies various cellular processes, such as neurotransmitter release at neuronal synapses [1], hyphal steering in filamentous fungi [2, 3], and local cell wall digestion preceding the fusion of yeast gametes [4]. Secretory vesicles transported on actin filaments by myosin V motors form clusters that serve as pool for local content release. During fission yeast Schizosaccharomyces pombe gamete fusion, the actin fusion focus assembled by the formin Fus1 concentrates secretory vesicles carrying cell wall digestive enzymes [5-7]. Focus position and coalescence are controlled by local signalling and actin-binding proteins to prevent inappropriate cell wall digestion that would cause lysis [6, 8-10], but the mechanisms of focusing have been elusive. Here, we show that the regulatory N-terminus of Fus1 contains an intrinsically disordered region (IDR) that mediates Fus1 condensation in vivo and forms dense assemblies that exclude other macromolecules. Fus1 lacking its IDR fails to condense in a tight focus and causes cell lysis during attempted cell fusion. Remarkably, replacement of Fus1 IDR with a heterologous low-complexity region that forms liquid condensates fully restores Fus1 condensation and function. By contrast, replacement of Fus1 IDR with a domain that forms more stable oligomers restores condensation but poorly supports cell fusion, suggesting that condensation is tuned to yield a structure selectively permeable for secretory vesicles. We propose that condensation of actin structures by an intrinsically disordered region may be a general mechanism for actin network organisation and the selective local concentration of secretory vesicles.
cell biology
10.1101/2022.05.05.490843
Incorporating uniparental markers and demographic information in kinship analysis
Knowledge of kinship relations between members of wild populations is of great importance in ecological and conservation genetic studies. The bi-parentally inherited autosomal markers has been the Golden Standard in kinship analysis. However, analysis of kin relationship can be challenging in wild populations. The uni-parentally inherited markers and population demographic information can be helpful for identifying false-positive in kinship analysis. Here we showed how incorporating uniparental genetic and demographic information can improve the correct classification rate of kinship analyses by reanalyzing data of a recent study published in Science Advances. The application of next generation high-throughput sequencing to address fundamental ecological questions is of immense benefit to the field of molecular ecology, which could also generate uniparentally inherited organelle genomes together with nuclear data. We strongly recommended that uniparental genetic markers and demographic information be seriously considered in kinship analyses of wild populations.
ecology
10.1101/2022.05.06.490859
Depth normalization for single-cell genomics count data
Single-cell genomics analysis requires normalization of feature counts that stabilizes variance while accounting for variable cell sequencing depth. We discuss some of the trade-offs present with current widely used methods, and analyze their performance on 526 single-cell RNA-seq datasets. The results lead us to recommend proportional fitting prior to log transformation followed by an additional proportional fitting.
bioinformatics
10.1101/2022.05.06.490852
The dependence of EGFR oligomerization on environment and structure: A camera-based N&B study
Number and Brightness analysis (N&B) is a fluorescence spectroscopy technique to quantify protein oligomerization. Accurate results, however, rely on a good knowledge of non-fluorescent states of the fluorescent labels, especially of fluorescent proteins (FP), which are widely used in biology. FPs have been characterized for confocal but not camera-based N&B, which allows in principle faster measurements over larger areas. Here, we calibrate camera-based N&B implemented on a total internal reflection fluorescence (TIRF) microscope for various fluorescent proteins by determining their propensity to be fluorescent. We then apply camera-based N&B in live CHO-K1 cells to determine the oligomerization state of the epidermal growth factor receptor (EGFR), a transmembrane receptor tyrosine kinase that is a crucial regulator of cell proliferation and survival with implications in many cancers. EGFR oligomerization in resting cells and its regulation by the plasma membrane microenvironment is still under debate. Therefore, we investigate the effects of extrinsic factors, including membrane organization, cytoskeletal structure, and ligand stimulation, and intrinsic factors, including mutations in various EGFR domains, on the receptors oligomerization. Our results demonstrate that EGFR oligomerization increases with removal of cholesterol or sphingolipids, or the disruption of GM3-EGFR interactions, indicating raft association. However, oligomerization was not significantly influenced by the cytoskeleton. Mutations in either I706/V948 residues or E685/E687/E690 residues in the kinase and juxtamembrane domains, respectively, led to a decrease in oligomerization, indicating their necessity for EGFR dimerization. Finally, EGFR phosphorylation is oligomerization-dependent involving the extracellular domain (550-580 residues). Coupled with biochemical investigations, camera-based N&B indicates that EGFR oligomerization and phosphorylation is the outcome of several molecular interactions involving the lipid content and structure of the cell membrane and multiple residues in the kinase, juxtamembrane, and extracellular domains. STATEMENT OF SIGNIFICANCENumber and brightness (N&B) analysis is a powerful tool to determine protein association but is mostly conducted in confocal microscopes. This work determines the brightness and fluorescence probability of a range of fluorescent proteins for camera-based N&B on a total internal reflection microscope, demonstrating that with proper calibration different fluorescent proteins provide the same answers on oligomerization within the margins of error. This camera-based approach allows measuring N&B values across whole cell basal membranes up to an area of ~1,000 m2 simultaneously. N&B is then used in combination with biochemical assays to investigate the oligomerization and activation of the epidermal growth factor receptor (EGFR), a prototypical receptor tyrosine kinase with importance in cell signalling, division and survival and implicated in various cancers. The results indicate that EGFR oligomerization and activation is governed by an interplay between membrane structure and composition and key amino acid residues of EGFR that span the extracellular to the intracellular domains.
biophysics
10.1101/2022.05.05.490848
SWEET13 transport of sucrose, but not gibberellin, restores male fertility in Arabidopsis sweet13;14
SWEET sucrose transporters play important roles in the allocation of sucrose in plants. Some SWEETs were shown to also mediate transport of the plant growth regulator gibberellin (GA). The close physiological relationship between sucrose and GA raised the questions of if there is a functional connection, and whether one or both of the substrates are physiologically relevant. To dissect these two activities, molecular dynamics were used to map the binding sites of sucrose and GA in the pore of SWEET13 and predicted binding interactions that might be selective for sucrose or GA. Transport assays confirmed these predictions. In transport assays, the N76Q mutant had 7x higher relative GA3 activity, and the S142N mutant only transported sucrose. The impaired pollen viability and germination in sweet13;14 double mutants were complemented by the sucrose-selective SWEET13S142N but not by the SWEET13N76Q mutant, indicating that sucrose is the physiologically relevant substrate and that GA transport capacity is dispensable in the context of male fertility. Therefore, GA supplementation to counter male sterility may act indirectly via stimulating sucrose supply in male sterile mutants. These findings are also relevant in the context of the role of SWEETs in pathogen susceptibility.
plant biology
10.1101/2022.05.06.490879
Transcriptional fluctuations govern the serum dependent cell cycle duration heterogeneities in Mammalian cells
Mammalian cells exhibit a high degree of intercellular variability in cell cycle period and phase durations. However, the factors orchestrating the cell cycle duration heterogeneities remain unclear. Herein, by combining cell cycle network-based mathematical models with live single-cell imaging studies under varied serum conditions, we demonstrate that fluctuating transcription rates of cell cycle regulatory genes across cell lineages and during cell cycle progression in mammalian cells majorly govern the robust correlation patterns of cell cycle period and phase durations among sister, cousin, and mother-daughter lineage pairs. However, for the overall cellular population, alteration in serum level modulates the fluctuation and correlation patterns of cell cycle period and phase durations in a correlated manner. These heterogeneities at the population level can be finetuned under limited serum conditions by perturbing the cell cycle network using a p38-signaling inhibitor without affecting the robust lineage level correlations. Overall, our approach identifies transcriptional fluctuations as the key controlling factor for the cell cycle duration heterogeneities, and predicts ways to reduce cell-to-cell variabilities by perturbing the cell cycle network regulations. Significance statementIn malignant tumors, cells display a diverse pattern in cell division time. This cell-to-cell variability in cell cycle duration had been observed even under culture conditions for various mammalian cells. Here we used live-cell imaging studies to monitor FUCCI-HeLa cells and quantified the cell cycle period and time spent in different phases under varied serum conditions. We proposed a set of stochastic cell cycle network-based mathematical models to investigate the live-cell imaging data and unraveled that the transcription rate variation across cell lineages and during cell cycle phases explains every aspect of the cell cycle duration variabilities. Our models identified how different deterministic effects and stochastic fluctuations control these variabilities and predicted ways to alter these cell cycle duration variabilities.
systems biology
10.1101/2022.05.06.490598
Obesity medication lorcaserin requires brainstem GLP-1 neurons to reduce food intake in mice
Overweight and obesity are rapidly becoming the "new normal" in developed countries, which promotes a widespread negative impact on human health. Amongst recently developed obesity medications are the serotonin 2C receptor (5-HT2CR) agonist lorcaserin and glucagon-like peptide-1 receptor (GLP-1R) agonists, but the brain circuits employed by these medications to produce their therapeutic effects remain to be fully defined. 5-HT2CRs and GLP-1Rs are widely distributed in the brain, including in the key homeostatic region the nucleus of the solitary tract (NTS) where GLP-1 is produced by preproglucagon (PPGNTS) neurons. PPGNTS cells were profiled using histochemistry and single nucleus RNA sequencing (Nuc-Seq) of mouse brainstem. Transcriptomic analyses revealed 5-HT2CR expression was widespread in PPGNTS clusters. Demonstrating the functional significance of this co-expression, lorcaserin required PPGNTS to reduce food intake. Analysis of second order neurons revealed that local GLP1-R neurons within the NTS are necessary for 5-HT2CRNTS food intake suppression. In contrast, GLP-1RNTS were not required for GLP-1R agonist liraglutide and exendin-4s short term feeding reduction, suggesting scope for lorcaserin and GLP1-R agonist combination therapy. In support of this, lorcaserin+liraglutide and lorcaserin+exendin-4 produced greater reductions in food intake when administered in combination as compared to monotherapies. These data provide insight into the therapeutic mechanisms of lorcaserin and identify a combination strategy to improve the therapeutic profile of lorcaserin and GLP1-R agonists.
neuroscience
10.1101/2022.05.06.490917
The LC3B FRET biosensor monitors the modes of action of ATG4B during autophagy in living cells
Although several mechanisms of autophagy have been dissected in the last decade, following this pathway in real time remains challenging. Among the early events leading to autophagy activation, the ATG4B protease primes the key autophagy player LC3B. Given the lack of reporters to follow this event in living cells, we developed a Forsters Resonance Energy Transfer (FRET) biosensor responding to the priming of LC3B by ATG4B. The biosensor was generated by flanking LC3B within a pH-resistant donor-acceptor FRET pair, Aquamarine/tdLanYFP. We here showed that the biosensor has a dual readout. First, FRET indicates the priming of LC3B by ATG4B and the resolution of the FRET image allows to characterize the spatial heterogeneity of the priming activity. Second, quantifying the number of Aquamarine-LC3B puncta determines the degree of autophagy activation. We then showed that there are small pools of unprimed LC3B upon ATG4B downregulation, and that the priming of the biosensor is completely abolished in ATG4B knockout cells. The lack of priming can be rescued with the wild-type ATG4B or with the partially active W142A mutant, but not with the catalytically dead C74S mutant. Last, we screened for commercially-available ATG4B inhibitors, and we illustrated their differential mode of action by implementing a spatially-resolved, broad-to-sensitive analysis pipeline combining FRET and the quantification of autophagic puncta. Therefore, the LC3B FRET biosensor paves the way for a highly-quantitative monitoring of the ATG4B activity in living cells and in real time, with unprecedented spatiotemporal resolution.
cell biology
10.1101/2022.05.06.490876
Urine-derived exosomes from individuals with IPF carry pro-fibrotic cargo.
BackgroundMicroRNAs (miRNA) and other components contained in extracellular vesicles may reflect the presence of a disease. Lung tissue, sputum and sera of individuals with idiopathic pulmonary fibrosis (IPF) show alterations in miRNA expression. We designed this study to test whether urine and/or tissue derived exosomal miRNAs from individuals with IPF carry cargo that can promote fibrosis. MethodsExosomes were isolated from urine (U-IPFexo), lung tissue myofibroblasts (MF-IPFexo), serum from individuals with IPF (n=16) and age/sex-matched controls without lung disease (n=10). We analyzed microRNA expression of isolated exosomes and their in vivo bio-distribution. We investigated the effect on ex vivo skin wound healing and in in vivo mouse lung models. ResultsU-IPFexo or MF-IPFexo expressed miR let-7d, miR-29a-5p, miR 181b-3p and miR-199a-3p consistent with previous reports of miRNA expression obtained from lung tissue/sera from patients with IPF. In vivo bio-distribution experiments detected bioluminescent exosomes in the lung of normal C57Bl6 mice within 5 minutes after intravenous infusion, followed by distribution to other organs irrespective of exosome source. Exosomes labeled with gold nanoparticles and imaged by transmission electron microscopy were visualized in alveolar epithelial type I and type II cells. Treatment of human and mouse lung punches obtained from control, non-fibrotic lungs with either U-IPFexo or MF-IPFexo produced a fibrotic phenotype. A fibrotic phenotype was also induced in a human ex vivo skin model and in in vivo lung models. ConclusionsOur results provide evidence of a systemic feature of IPF whereby exosomes contain pro-fibrotic miRNAs when obtained from a fibrotic source and interfere with response to tissue injury as measured in skin and lung models. FundingThis work was supported in part by Lester and Sue Smith Foundation and The Samrick Family Foundation and NIH grants R21 AG060338 (SE and MKG), U01 DK119085 (IP, RS, MTC).
cell biology
10.1101/2022.05.06.490930
Depth and evenness of sequence coverage are associated with assembly quality, genome structure, and choice of sequencing platform in archived plastid genomes
In plastid genomes, the depth and evenness of sequence coverage are considered important indicators for assembly quality. However, the precise manifestations that sequencing depth and evenness can have in the assembly of these genomes, as well as any differences across individual genome sections, have yet to be evaluated. This investigation aims to identify the impact that sequencing depth and evenness can have on the assembly of plastid genomes and how both metrics are related to plastid genome structure. Specifically, we assess if sequencing evenness and reduced sequencing depth have significant correlations with, or significant differences among, individual genome sections, assembly quality metrics, the sequencing platforms employed, and the software tools used for genome assembly. To that end, we retrieve published plastid genomes as well as their sequence reads and genome metadata from public databases, measure sequencing depth and evenness across their sequences, and test several hypotheses on genome assembly and structure through non-parametric statistical tests. The results of our analyses show significant differences in sequencing depth across the four structural partitions as well as between the coding and non-coding sections of the plastid genomes, a significant correlation between sequencing evenness and the number of ambiguous nucleotides per genome, and significant differences in sequencing evenness between various sequencing platforms. Based on these results, we conclude that the observed differences and correlations are not a product of chance alone but possibly genuine manifestations of sequencing depth and evenness during the assembly of these genomes.
genomics
10.1101/2022.05.06.490774
Plasmid overlap and evolution between Enterobacterales isolates from bloodstream infections and non-human compartments
Horizontal gene transfer in Enterobacterales allows mobile genetic elements to move between strains, species, and genera. In particular, the movement of plasmids is a known route for rapid dissemination of antimicrobial resistance (AMR) genes. However, it is difficult to establish to what extent plasmids are shared between Enterobacterales causing human infections and those from non-human sources, such as livestock or the environment. While some previous studies have found only limited evidence for genetic overlap, these have often been limited in size, restricted to drug-resistant isolates, and have used fragmented genome assemblies. Here, we report a collection of geographically and temporally restricted isolates from human bloodstream infections (BSI), environmental soils, livestock (cattle, pigs, poultry, sheep), wastewater (influent, effluent), and rivers. Isolates were all collected between 2008-2018 from sampling sites <60km apart. The combined dataset contains 1,458 complete Enterobacterales genomes, including 3,697 circularised plasmids of which one third were unclassifiable. We find eight groups of near-identical plasmids seen in both human BSI and non-human isolates, of which two are conjugative F-type plasmids carrying AMR genes. We cluster plasmids based on alignment-free distances and find that 73/247 (30%) plasmid clusters contain plasmids from both human BSI and non-human isolates. Pangenome-style analyses of the 69 most prevalent clusters (1,832/3,697 plasmids) reveals sets of shared core genes alongside accessory gene repertoires. Core-gene phylogenies suggest an intertwined ecology where well-conserved putative plasmid backbones carry diverse accessory functions, potentially linked to niche adaptation. Furthermore, we show that closely related human and non-human plasmids are frequently found across distantly related bacterial hosts. Our findings underline the importance of diverse sampling in One Health approaches for AMR management.
genomics
10.1101/2022.05.06.490910
Reinforcement waves as a mechanism for discontinuous learning
Problem-solving and reasoning involve mental exploration and navigation in sparse relational spaces. A physical analogue is spatial navigation in structured environments such as a network of burrows. Recent experiments with mice navigating a labyrinth show a sharp discontinuity during learning, corresponding to a distinct moment of sudden insight when mice figure out long, direct paths to the goal. This discontinuity is seemingly at odds with reinforcement learning (RL), which involves a gradual build-up of a value signal during learning. Here, we show that biologically-plausible RL rules combined with persistent exploration generically exhibit discontinuous learning. In structured environments, positive feedback from learning generates a traveling reinforcement wave. The discontinuity occurs when the wave reaches the starting point. Task difficulty and the learning rule alter its profile and speed, which are determined by the nonlinear dynamics between the nose and bulk of the wave. Predictions explain existing data and motivate specific experiments to isolate the phenomenon. Additionally, we characterize the exact learning dynamics of various RL rules for a complex sequential task.
animal behavior and cognition
10.1101/2022.05.06.490860
Crystal structure and biochemical analysis suggest that YjoB ATPase is a substrate-specific molecular chaperone
AAA+ ATPases are ubiquitous proteins associated with most cellular processes, including DNA unwinding and protein unfolding. Their functional and structural properties are typically determined by domains and motifs added to the conserved ATPases domain. Currently, the molecular function and structure of many ATPases remain elusive. Here, we report the crystal structure and biochemical analyses of YjoB, a Bacillus subtilis AAA+ protein. The crystal structure revealed that the YjoB hexamer forms a bucket hat-shaped structure with a porous chamber. Biochemical analyses showed that YjoB prevents the aggregation of vegetative catalase KatA and gluconeogenesis-specific glyceraldehyde-3 phosphate dehydrogenase GapB, but not citrate synthase, a conventional substrate. Structural and biochemical analyses further showed that the internal chamber of YjoB is necessary for the chaperone activity. Our results suggest that YjoB, conserved in the class Bacilli, is a molecular chaperone acting in the starvation/stationary phases of B. subtilis growth.
biochemistry
10.1101/2022.05.06.490861
Nucleation and stability of branched versus linear Arp2/3-generated actin filaments
Activation of the Arp2/3 complex by VCA-domain-bearing NPFs results in the formation of daughter actin filaments branching off the sides of pre-existing mother filaments. Alternatively, when stimulated by SPIN90, Arp2/3 directly nucleates linear actin filaments. Uncovering the similarities and differences of these two activation mechanisms is fundamental to understanding the regulation and function of Arp2/3. Analysis of individual filaments reveals that the catalytic VCA domain of WASP, N-WASP and WASH, accelerate the Arp2/3-mediated nucleation of linear filaments by SPIN90, in addition to their known branch-promoting activity. Unexpectedly, these VCA domains also destabilize existing branches, as well as SPIN90-Arp2/3 at filament pointed ends. Furthermore, cortactin and GMF, which respectively stabilize and destabilize Arp2/3 at branch junctions, have a similar impact on SPIN90-activated Arp2/3. However, unlike branch junctions, SPIN90-Arp2/3 at the pointed end of linear filaments is not destabilized by piconewton forces, and does not become less stable with time. It thus appears that linear and branched Arp2/3-generated filaments respond similarly to regulatory proteins, albeit with quantitative differences, and that they differ greatly in their responses to aging and to mechanical stress. These results indicate that SPIN90- and VCA-activated Arp2/3 complexes adopt similar yet non-identical conformations, and that their turnover in cells may be regulated differently.
biochemistry
10.1101/2022.05.06.490871
Mechanism of threonine ADP-ribosylation of F-actin by a Tc toxin
Tc toxins deliver toxic enzymes into host cells by a unique injection mechanism. One of these enzymes is TccC3, an ADP-ribosyltransferase from Photorhabdus luminescens. Once TccC3 is translocated into the target cell, the enzyme ADP-ribosylates actin, resulting in clustering of the actin cytoskeleton and ultimately cell death. Here, we combine biochemistry, solution and solid-state NMR spectroscopy and cryo-EM to show in atomic detail how TccC3 modifies actin. We find that the ADP-ribosyltransferase does not bind to G-actin but interacts with two consecutive actin subunits of F-actin. The binding of TccC3 to F-actin occurs via an induced-fit mechanism that facilitates access of NAD+ to the nucleotide binding pocket. The following nucleophilic substitution reaction results in the transfer of ADP-ribose to threonine-148 of F-actin. We demonstrate that this site-specific modification of F-actin prevents its interaction with depolymerization factors, such as cofilin, which impairs actin network turnover and leads to steady actin polymerization. Our findings reveal in atomic detail a new mechanism of action of a bacterial toxin through specific targeting and modification of F-actin.
biochemistry
10.1101/2022.05.06.490886
ReCSAI Recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy
Localization-based super-resolution microscopy resolves macromolecular structures down to a few nanometers by computationally reconstructing fluorescent emitter coordinates from diffraction-limited spots. The most commonly used algorithms are based on fitting parametric models of the point spread function (PSF) to a measured photon distribution. These algorithms make assumptions about the symmetry of the PSF and thus, do not work well with irregular, non-linear PSFs that occur for example in confocal lifetime imaging, where a laser is scanned across the sample. An alternative method for reconstructing sparse emitter sets from noisy, diffraction-limited images is compressed sensing, but due to its high computational cost it has not yet been widely adopted. Deep neural network fitters have recently emerged as a new competitive method for localization microscopy. They can learn to fit arbitrary PSFs, but require extensive simulated training data and do not generalize well. A method to efficiently fit the irregular PSFs from confocal lifetime localization microscopy combining the advantages of deep learning and compressed sensing would greatly improve the acquisition speed and throughput of this method. Here we introduce ReCSAI, a compressed sensing neural network to reconstruct for confocal dSTORM, together with a simulation tool to generate training data. We implemented and compared different artificial network architectures, aiming to combine the advantages of compressed sensing and deep learning. We found that a U-Net with a recursive structure inspired by iterative compressed sensing showed the best results on realistic simulated datasets with noise, as well as on real experimentally measured confocal lifetime scanning data. Adding a trainable wavelet denoising layer as prior step further improved the reconstruction quality. Our deep learning approach can reach a similar reconstruction accuracy for confocal dSTORM as frame binning with traditional fitting without requiring the acquisiton of multiple frames. In addition, our work provide generic insights on the reconstruction of sparse measurements from noisy experimental data by combining compressed sensing and deep learning. We provide the trained networks, the code for network training and inference as well as the simulation tool as python code and Jupyter notebooks for easy reproducibility.
bioinformatics
10.1101/2022.05.06.490775
Biophysical characterization of calcium-binding and modulatory-domain dynamics in a pentameric ligand-gated ion channel
Pentameric ligand-gated ion channels (pLGICs) perform electrochemical signal transduction in organisms ranging from bacteria to humans. Among the prokaryotic pLGICs there is architectural diversity involving N-terminal domains (NTDs) not found in eukaryotic relatives, exemplified by the calcium-sensitive channel (DeCLIC) from a Desulfofustis deltaproteobacterium, which has an NTD in addition to the canonical pLGIC structure. Here we have characterized the structure and dynamics of DeCLIC through cryo-electron microscopy (cryo-EM), small-angle neutron scattering (SANS), and molecular dynamics (MD) simulations. In the presence and absence of calcium, cryo-EM yielded structures with alternative conformations of the calcium binding site. SANS profiles further revealed conformational diversity at room temperature beyond that observed in static structures, shown through MD to be largely attributable to rigid body motions of the NTD relative to the protein core, with expanded and asymmetric conformations improving the fit of the SANS data. This work reveals the range of motion available to the DeCLIC NTD and calcium binding site, expanding the conformational landscape of the pLGIC family. Further, these findings demonstrate the power of combining low-resolution scattering, high-resolution structural, and MD-simulation data to elucidate interfacial interactions that are highly conserved in the pLGIC family.
biophysics
10.1101/2022.05.06.490921
Barley powdery mildew effector CSEP0162 targets multivesicular body-associated MON1 important for immunity
Encasements formed around haustoria and biotrophic hyphae as well as hypersensitive reaction (HR) cell death are essential plant immune responses to filamentous pathogens. Here we study a possible reason why these responses are absent in susceptible barley attacked by the powdery mildew fungus. We find that the effector CSEP0162 from this pathogen targets plant MON1, important for fusion of multivesicular bodies to their target membranes. Over-expression of CSEP0162 and silencing of barley MON1 both inhibit encasement formation. We find that the Arabidopsis ecotype No-0 has partial resistance to powdery mildew, and that this is dependent on MON1. Surprisingly, we find the MON1-dependent resistance in No-0 not only include an effective encasement response, but also HR. Similarly, silencing of MON1 in barley also blocked Mla3-mediated HR-based powdery mildew resistance. These data indicate that MON1 is a vital plant immunity component, and we speculate that the barley powdery mildew fungus introduces the effector CSEP0162 to target MON1 and reduce encasement formation and HR. HighlightMON1 is essential for MVB fusion to plasma membrane. We find that MON1 also is important for immunity, and that it is targeted by the barley powdery mildew effector CSEP0162.
plant biology
10.1101/2022.05.06.490870
Compartment-driven imprinting of intestinal CD4 (regulatory) T cells in inflammatory bowel disease and homeostasis
ObjectiveThe mucosal immune system is implicated in the etiology and progression of inflammatory bowel diseases. The lamina propria and epithelium of the gut mucosa constitute two separate compartments, containing distinct T cell populations. Human CD4 T cell programming and regulation of lamina propria and epithelium CD4 T cells, especially during inflammation, remains incompletely understood. DesignWe performed imaging mass cytometry, flow cytometry, bulk and single-cell RNA-sequencing to profile ileal lamina propria and intraepithelial CD4 T cells (CD4CD8, regulatory T cells (Tregs), CD69- and CD69high Trm T cells) in controls and Crohns disease (CD) patients (paired non-inflamed and inflamed). ResultsInflammation results in alterations of the CD4 T cell population with a pronounced increase in Tregs and migrating/infiltrating cells. On a transcriptional level, inflammation within the epithelium induced T cell activation, increased IFN{gamma} responses and effector Treg differentiation. Conversely, few transcriptional changes within the lamina propria were observed. Key regulators including the chromatin remodelers ARID4B and SATB1 were found to drive compartment-specific transcriptional programming of CD4 T(reg) cells. ConclusionInflammation in CD patients primarily induces changes within the epithelium and not the lamina propria. Additionally, there is compartment-specific CD4 T cell imprinting, driven by shared regulators, upon translocation from the lamina propria to the epithelium. The main consequence of epithelial translocation, irrespective of inflammation, seems to be an overall dampening of broad (pro-inflammatory) responses and tight regulation of lifespan. These data suggest differential regulation of the lamina propria and epithelium, with a specific regulatory role in the inflamed epithelium.
immunology
10.1101/2022.05.06.490847
Suppression of tumor/host intrinsic CMTM6 drives anti-tumor cytotoxicity in a PD-L1 independent manner
CKLF-like MARVEL transmembrane domain-containing 6 (CMTM6) has been identified as a regulator of membranal programmed death ligand 1 (PD-L1) stability and a factor associated with malignancy progression, but the effects and mechanisms of CMTM6 on tumor growth, as well as its potential for therapy, are still largely unknown. Here, we show that tumor CMTM6 increased with progression in both clinical patients and mice. Ablation of CMTM6 resulted in significant retardation of human and murine tumor growth dependent on T-lymphocyte immunity. Tumor CMTM6 suppression broke resistance to immune checkpoint inhibitors and remodeled the tumor immune microenvironment, as specific antitumor cytotoxicity was enhanced and contributed primarily to tumor inhibition. Further, without the PD-1/PD-L1 axis, CMTM6 suppression still significantly dampened tumor growth dependent on cytotoxic cells. Notably, we identified that CMTM6 was widely expressed on immune cells. T-cell CMTM6 increased with sustained immune activation and intratumoral immune exhaustion and affected the T-cell-intrinsic PD-L1 levels. Host CMTM6 knockout significantly restrained tumor growth dependent on CD8+ T-cells, and similarly, not entirely dependent on PD-L1. Thus, we developed and evaluated the antitumor efficacy of CMTM6-targeting adeno-associated virus (AAV), which effectively mobilized antitumor immunity and could be combined with various antitumor drugs. Our findings reveal that both tumor and host CMTM6 are deeply involved in tumor immunity with or without the PD-1/PD-L1 axis and that gene therapy targeting CMTM6 is a promising strategy for cancer immunotherapy. One Sentence SummaryEven in the absence of the PD-1/PD-L1 axis, tumor or host CMTM6 deficiency can mediate cytotoxicity-dependent anti-tumor immune responses, allowing CMTM6 to be a novel target for scAAV-mediated oncoimmunology gene therapy and combination treatment.
immunology
10.1101/2022.05.06.490918
Orai3 and Orai1 are essential for CRAC channel function and metabolic reprogramming in B cells
The essential role of store-operated Ca2+ entry (SOCE) through Ca2+ release-activated Ca2+ (CRAC) channels in T cells is well established. In contrast, the contribution of individual Orai isoforms to SOCE and their downstream signaling functions in B cells are poorly understood. Here, we demonstrate changes in expression of Orai isoforms in response to B cell activation. We show that Orai3 and Orai1 are essential components of native CRAC channels in B cells and are critical for primary B cell proliferation and survival. The combined loss of Orai1 and Orai3 strongly impairs SOCE, nuclear factor for activated T cells (NFAT) activation, mitochondrial respiration, glycolysis, and the metabolic reprogramming of B cells in response to antigenic stimulation. Our results clarify the molecular composition and cellular functions of SOCE in B lymphocytes.
immunology
10.1101/2022.05.06.490884
Understanding the role of c-di-AMP signaling in determining antibiotic tolerance in Mycobacterium smegmatis: generation of resistant mutants and regrowth of persisters
In this study, we probe the role of secondary messenger c-di-AMP in drug tolerance, which includes both persister and resistant mutant characterization of Mycobacterium smegmatis. Specifically, with the use of c-di-AMP null and overproducing mutants, we showed how c-di-AMP plays a significant role in resistance mutagenesis against antibiotics with different mechanisms of action. We elucidated the specific molecular mechanism linking the elevated intracellular c-di-AMP level and high mutant generation and highlighted the significance of non-homology-based DNA repair. Further investigation enabled us to identify the unique mutational landscape of target and non-target mutation categories linked to intracellular c-di-AMP levels. Overall fitness cost of unique target mutations was estimated in different strain backgrounds, and then we showed the critical role of c-di-AMP in driving epistatic interactions between resistance genes, resulting in the evolution of multi-drug tolerance. Finally, we identified the role of c-di-AMP in persister cells regrowth and mutant enrichment upon cessation of antibiotic treatment.
microbiology
10.1101/2022.05.06.490868
A new microbiological weapon against lepidopteran pests
Nowadays researchers provide more and more evidence that it is necessary to develop an ecologically friendly approach to pest control. This is reflected in a sharp increase in the value of the biological insecticide market in recent decades. In our study, we found a virus strain belonging to the genus Cypovirus (Reoviridae); the strain was isolated from Dendrolimus sibiricus: that possesses attractive features as a candidate for mass production of biological agents for lepidopteran-pest control. We describe morphological, molecular, and ecological features of the new Cypovirus strain. This strain was found to be highly virulent to D. sibiricus (half-lethal dose is 68 occlusion bodies per second-instar larva) and to have a relatively wide host range (infects representatives of five families of Lepidoptera: Erebidae, Sphingidae, Pieridae, Noctuidae, and Lasiocampidae). The virus strain showed a strong interaction with a nontoxic adjuvant (optical brightener), which decreased the lethal dose for both main and alternative hosts, decreased lethal time, and may expand the host range. Moreover, we demonstrated that the insecticidal features were preserved after passaging through the most economically suitable host. By providing strong arguments for possible usefulness of this strain in pest control, we call on virologists, pest control specialists and molecular biologists to give more attention to the Cypovirus genus, which may lead to new insights in the field of pest control research and may provide significant advantages to compare with baculoviruses and Bacillus thuringiensis products which are nowadays main source of bioinsecticides. Significance statementWithin this article we are describing unique set of features of newly discovered cypovirus strain which possess by significant premises for modern biological insecticides requirements: high potency, universality, true regulating effect, flexible production (possibility to choose host species for production), interaction with enhancing adjuvants, ecologically friendly. Basing on genome alignment we suggest that increasing of host range of new strain is the sequence of evolutionary event which was occurred after coinfection of different CPV species within same host. This finding open new perspective to consider CPVs as perspective agent of biocontrol products.
microbiology
10.1101/2022.05.06.490408
Metalation calculators for E. coli strain JM109 (DE3): Aerobic, anaerobic and hydrogen peroxide exposed cells cultured in LB media
Three web-based calculators, and three analogous spreadsheets, have been generated that predict in vivo metal occupancies of proteins based on known metal affinities. The calculations exploit estimates of the availabilities of the labile buffered pools of different metals inside a cell. Here, metal availabilities have been estimated for a strain of E. coli that is commonly used in molecular biology and biochemistry research, for example in the production of recombinant proteins. Metal availabilities have been examined for cells grown in LB medium aerobically, anaerobically and in response to H2O2 by monitoring the abundance of a selected set of metal-responsive transcripts by qPCR. The selected genes are regulated by DNA-binding metal sensors that have been thermodynamically characterised in related bacterial cells enabling gene expression to be read-out as a function of intracellular metal availabilities expressed as free energies for forming metal complexes. The calculators compare these values with the free energies for forming complexes with the protein of interest, derived from metal affinities, to estimate how effectively the protein can compete with exchangeable binding sites in the intracellular milieu. The calculators then inter-compete the different metals, limiting total occupancy of the site to a maximum stoichiometry of 1, to output percentage occupancies with each metal. In addition to making these new and conditional calculators available, an original purpose of this article was to provide a tutorial which discusses constraints of this approach and presents ways in which such calculators might be exploited in basic and applied research, and in next-generation manufacturing.
cell biology
10.1101/2022.05.06.490863
Fluorescence fluctuation based super resolution microscopy, basic concepts for an easy start.
Due to the wave nature of light, optical microscopy has a lower-bound lateral resolution limit of about half of the wavelength of the detected light, i.e., within the range of 200 to 300 nm. The Fluorescence Fluctuation based Super Resolution Microscopy (FF-SRM) encompases a collection of image analysis techniques which rely on the statistical processing of temporal variations of fluorescence to reduce the uncertainty about the fluorophore positions within a sample, hence, bringing spatial resolution down to several tens of nm. The FF-SRM is known to be suitable for live-cell imaging due to its compatibility with most fluorescent probes and lower instrumental and experimental requirements, which are mostly camera-based epifluorescence instruments. Each FF-SRM approach has strengths and weaknesses, which depend directly on the underlying statistical principles through which enhanced spatial resolution is achieved. In this review, the basic concepts and principles behind a range of FF-SRM methods published to date are revisited. Their operational parameters are explained and guidance for its selection is provided.
bioinformatics
10.1101/2022.05.06.490931
A glutamine-based single α-helix scaffold to target globular proteins
The binding of intrinsically disordered proteins to globular ones often requires the folding of motifs into [a]-helices. These interactions offer opportunities for therapeutic intervention but their modulation with small molecules is challenging because they bury large surfaces. Linear peptides that display the residues that are key for binding can be targeted to globular proteins when they form stable helices, which in most cases requires their chemical modification. Here we present rules to design peptides that fold into single [a]-helices by instead concatenating glutamine side chain to main chain hydrogen bonds recently discovered in polyglutamine helices. The resulting peptides are uncharged, contain only natural amino acids, and their sequences can be optimized to interact with specific targets. Our results provide design rules to obtain single [a]-helices for a wide range of applications in protein engineering and drug design.
biophysics
10.1101/2022.05.06.490873
Nanoscale prognosis of colorectal cancer metastasis from AFM image processing of histological sections
Early ascertainment of metastatic tumour phases is crucial to improve cancer survival, formulate an accurate prognostic report of disease advancement and, most important, quantify the metastatic progression and malignancy state of primary cancer cells with a universal numerical indexing system. This work proposes an early improvement of cancer detection with 97 nm spatial resolution by indexing the metastatic cancer phases from the analysis of atomic force microscopy images of human colorectal cancer histological sections. The procedure applies variograms of residuals of Gaussian filtering and theta statistics of colorectal cancer tissue image settings. The methodology elucidates the early metastatic progression at the nanoscale level by setting metastatic indexes and critical thresholds from relatively large histological sections and categorising the malignancy state of a few suspicious cells not identified with optical image analysis. In addition, we sought to detect early tiny morphological differentiations indicating potential cell transition from epithelial cell phenotypes of low to high metastatic potential. The metastatic differentiation, also identified by higher moments of variograms, sets different hierarchical levels for the metastatic progression dynamic, potentially impacting therapeutic cancer protocols.
cancer biology
10.1101/2022.05.05.490811
Sinking a giant: quantitative macroevolutionary comparative methods debunk qualitative assumptions
Myhrvold et al.1 suggest that our inference of subaqueous foraging among spinosaurids2 is undermined by selective bone sampling, inadequate statistical procedures, and use of inaccurate ecological categorizations. Myhrvold et al.1 ignore major details of our analyses and results, and instead choose to portray our inferences as if they were based on qualitative interpretations of our plots, without providing additional analyses to support their claims. In this manuscript, we thoroughly discuss all the concerns exposed by Myhrvold et al.1. Additional analyses based on our original datasets2 and novel data presented by Myhrvold et al.1 do not change our original interpretations: while the spinosaurid dinosaurs Spinosaurus and Baryonyx are recovered as subaqueous foragers, Suchomimus is inferred as a non-diving animal.
paleontology
10.1101/2022.05.06.490880
Density-Dependent Color Scanning Electron Microscopy (DDC-SEM) for calcified tissue and pathological calcification.
Scanning electron microscopy (SEM) is widely used for materials characterization. It has also been successfully applied to the imaging of biological samples, providing invaluable insights into the topography, morphology and composition of biological structures, including pathological minerals, in diseases affecting cardiovascular, kidney and ocular tissues. Here we provide a comprehensive and detailed guide on how to use colored SEM to aid the visualization and characterization of pathological calcification, and identify the effects of different sample preparation protocols for the visualisation of these minerals.
pathology
10.1101/2022.05.06.490878
Piezo buffers mechanical stress via modulation of intracellular Ca2+ handling in the Drosophila heart
Throughout its lifetime the heart is buffeted continuously by dynamic mechanical forces resulting from contraction of the heart muscle itself and fluctuations in haemodynamic load and pressure. These forces are in flux on a beat-by-beat basis, resulting from changes in posture, physical activity or emotional state, and over longer timescales due to altered physiology (e.g. pregnancy) or as a consequence of ageing or disease (e.g. hypertension). It has been known for over a century of the hearts ability to sense differences in haemodynamic load and adjust contractile force accordingly1-4. These adaptive behaviours are important for cardiovascular homeostasis, but the mechanism(s) underpinning them are incompletely understood. Here we present evidence that the mechanically-activated ion channel, Piezo, is an important component of the Drosophila hearts ability to adapt to mechanical force. We find Piezo is a sarcoplasmic reticulum (SR)-resident channel and is part of a mechanism that regulates Ca2+ handling in cardiomyocytes in response to mechanical stress. Our data support a simple model in which Drosophila Piezo transduces mechanical force such as stretch into a Ca2+ signal, originating from the SR, that modulates cardiomyocyte contraction. We show that Piezo mutant hearts fail to buffer mechanical stress, have altered Ca2+ handling, become prone to arrhythmias and undergo pathological remodelling.
physiology
10.1101/2022.05.06.490925
Allocation of visuospatial attention indexes evidence accumulation for reach decisions
Visuospatial attention is a prerequisite for the performance of visually guided movements: Perceptual discrimination is regularly enhanced at target locations prior to movement initiation. It is known that this attentional prioritization evolves over the time of movement preparation; however, it is not clear whether this build-up simply reflects a time requirement of attention formation or whether, instead, attention build-up reflects the emergence of the movement decision. To address this question, we combined behavioral experiments, psychophysics, and computational decision-making models to characterize the time course of attention build-up during motor preparation. Participants (n = 46, 29 female) executed center-out reaches to one of two potential target locations and reported the identity of a visual discrimination target that occurred concurrently at one of various time-points during movement preparation and execution. Visual discrimination increased simultaneously at the two potential target locations but was modulated by the experiment-wide probability that a given location would become the final goal. Attention increased further for the location that was then designated as the final goal location, with a time course closely related to movement initiation. A sequential sampling model of decision-making predicted key temporal characteristics of attentional allocation. Together, these findings provide evidence that visuospatial attentional prioritization during motor preparation does not simply reflect that a spatial location has been selected as movement goal, but rather indexes the time-extended, cumulative decision that leads to selection, hence constituting a link between perceptual and motor aspects of sensorimotor decisions. Significance statementWhen humans perform a goal-directed movement such as a reach, attention shifts towards the goal location already before movement initiation, indicating that motor goal selection relies on the use of attention. Here, we demonstrate that key temporal aspects of visuospatial attention are predicted by a well-known computational model of decision-making. These findings suggest that visual attention signals much more than simply that a motor goal has been selected: instead, the time-course of emergent, visuospatial attention reflects the time-extended, cumulative decision that leads to goal selection, offering a window onto the tight link of perceptual and motor aspects in sensorimotor decision-making.
neuroscience
10.1101/2022.05.06.490891
Conserved population dynamics in the cerebro-cerebellar system between waking and sleep
Despite the importance of the cerebellum for motor learning, and the recognised role of sleep in motor memory consolidation, surprisingly little is known about activity in the sleeping cerebro-cerebellar system. Here we used wireless recording from M1 and the cerebellum in monkeys to examine the relationship between patterns of single-unit spiking activity observed during waking behaviour and in natural sleep. Across the population of recorded units, we observed similarities in the timing of firing relative to local field potential features associated with both movements during waking and up-states during sleep. We also observed a consistent pattern of asymmetry in pair-wise cross-correlograms, indicative of preserved sequential firing in both wake and sleep at low frequencies. Despite the overall similarity in population dynamics between wake and sleep, there was a global change in the timing of cerebellar activity relative to motor cortex, from contemporaneous in the awake state, to motor cortex preceding the cerebellum in sleep. We speculate that similar population dynamics in waking and sleep may imply that cerebellar internal models are activated in both states, but that their output is decoupled from motor cortex in sleep. Nevertheless, spindle frequency coherence between the cerebellum and motor cortex may provide a mechanism for cerebellar computations to influence sleep-dependent learning processes in the cortex. Significance statementIt is well known that sleep can lead to improved motor performance. One possibility is that synaptic changes during sleep result from off-line repetitions of neuronal activity patterns in brain areas responsible for the control of movement. In this study we show for the first time that neuronal patterns in the cerebro-cerebellar system are conserved during both movements and sleep up-states, albeit with a shift in the relative timing between areas. Additionally, we show the presence of simultaneous M1-cerebellar spike coherence at spindle frequencies associated with up-state replay and postulate that this is a mechanism whereby a cerebellar internal models can shape plasticity in neocortical circuits during sleep.
neuroscience
10.1101/2022.05.06.490913
Subthalamic beta bursts correlate with dopamine-dependent motor symptoms in 106 Parkinson's patients
BackgroundPathologically increased beta power has been described as a biomarker for Parkinsons disease (PD) and related to prolonged bursts of subthalamic beta synchronization. MethodsHere, we investigate the association between subthalamic beta dynamics and motor impairment in a cohort of 106 Parkinsons patients in the ON- and OFF-medication state, suing two different methods of beta burst determination. ResultsWe report a frequency-specific correlation of low beta power and burst duration with motor impairment OFF dopaminergic medication. Furthermore, reduction of power and burst duration correlated significantly with symptom alleviation through dopaminergic medication. Importantly, qualitatively similar results were yielded with two different methods of beta burst definition. ConclusionsOur findings validate the robustness of previous results on pathological changes in subcortical oscillations both in the frequency- as well as in the time-domain in the largest cohort of PD patients to date with important implications for next-generation adaptive deep brain stimulation control algorithms.
neuroscience
10.1101/2022.05.06.490916
A novel mouse model of postpartum depression and the neurobiological effects of fast-acting antidepressant treatments
postpartum depression (PPD) is a severe psychiatric disorder that affects up to 15% of mothers and impairs mother-infant bonding with devastating consequences on the child development and the mother health. Several studies indicate a possible dysregulation of glutamatergic and GABAergic signalling in the corticolimbic system, as well as a downregulation of the allopregnanolone levels in serum of PPD patients. Although brexanolone, an allopregnanolone-based treatment, has recently emerged as fundamental PPD treatment, there is scarce evidence on its neurobiological action mechanism. Moreover, ketamine appears to be a promising antidepressant treatment preventing PPD, nevertheless whether it might be a more effective than allopregnanolone for some patients remain unknown. Therefore, the present study is aimed to evaluate the depressive-like phenotype of postpartum females undergoing maternal separation with early weaning (MSEW) protocol, as well as to compare the effectiveness of ketamine and allopregnanolone treatments. MSEW dams show increased despair-like behaviour, anhedonia and disrupted maternal behaviour. Moreover, lower allopregnanolone serum levels, reduction of vesicular transporters for GABA (VGAT) and glutamate (VGLUT1) in the infralimbic cortex, as well as decreased hippocampal cellular proliferation are found in MSEW females. As for the antidepressant treatments, both drugs prevent despair-like behaviour, whereas only ketamine reverts anhedonia present in MSEW females. In addition, both treatments induce pro-neurogenic effects in the dorsal hippocampus but only allopregnanolone increases the VGAT and VGLUT1, without altering the excitatory/inhibitory ratio. Altogether, we propose a new mice model that recapitulates the core symptomatology and alterations in glutamatergic and GABAergic systems shown in PPD patients, which allows us to investigate the therapeutic mechanisms of allopregnanolone and ketamine.
neuroscience
10.1101/2022.05.06.490866
Endogenous retroviruses promote prion-like spreading of proteopathic seeds
Endogenous retroviruses, remnants of viral germline infections, make up a substantial proportion of the mammalian genome. While usually epigenetically silenced, retroelements can become upregulated in neurodegenerative diseases associated with protein aggregation, such as amyotrophic lateral sclerosis and tauopathies. Here we demonstrate that spontaneous upregulation of endogenous retrovirus gene expression drastically affects the dissemination of protein aggregates between murine cells in culture. Viral glycoprotein Env mediates membrane association between donor and recipient cells and promotes the intercellular transfer of protein aggregates packaged into extracellular vesicles. Proteopathic seed spreading can be inhibited by neutralizing antibodies targeting Env as well as drugs inhibiting viral protein processing. Importantly, we show that also overexpression of a human endogenous retrovirus Env elevates intercellular spreading of pathological Tau. Our data highlight the potential influence of endogenous retroviral proteins on protein misfolding diseases and suggest that antiviral drugs could represent promising candidates for inhibiting protein aggregate spreading.
neuroscience
10.1101/2022.05.06.490909
Unraveling the hidden diversity of endogenous bornavirus-like elements derived from ancient orthobornaviral X and P genes in mammalian genomes
Endogenous bornavirus-like elements (EBLs) are heritable sequences derived from bornaviruses in vertebrate genomes, which are strongly suggested to originate from transcripts of ancient bornaviruses. EBLs have been detected by sequence similarity searches, such as tBLASTn, and thus EBLs derived from small and/or rapidly evolving viral genes, such as viral X and P genes, are difficult to be detected. Indeed, no EBLs derived from X and P genes of orthobornaviruses were detected. Thus, although previous studies comprehensively analyzed the presence of EBLs in vertebrate genomes, there may still be undetectable EBLs. In this study, we developed a novel strategy to detect such "hidden" EBLs by focusing on the nature of readthrough transcription of orthobornavirus. We showed a series of evidence supporting that there are EBLs derived from orthobornaviral X and P genes in mammalian genomes. Therefore, this study contributes to a deeper understanding of the evolution of ancient viruses and of virus-host relationships. Further, our data also suggest that endogenous viral elements detected thus far are just the tip of the iceberg, and thus further studies are required to understand ancient viruses more accurately.
microbiology
10.1101/2022.05.06.490824
Vertical gradients in physiological function and resource allocation of white spruce diverge at the northern- and southern-most range extremes
Light availability drives vertical canopy gradients in photosynthetic functioning and carbon (C) balance, yet patterns of variability in these gradients remain unclear. We measured light availability, photosynthetic CO2 and light response curves, foliar C, nitrogen (N) and pigment concentrations, and the photochemical reflectance index (PRI) on upper and lower canopy needles of white spruce trees (Picea glauca) at the northern and southern extremes of the species range. We combined our photosynthetic data with previously published respiratory data to compare and contrast canopy C balance between latitudinal extremes. We found steep canopy gradients in irradiance, photosynthesis, and leaf traits at the southern range limit, but clear convergence across canopy positions at the northern range limit. Thus, unlike many tree species from tropical to mid-latitude forests, high latitude trees do not require vertical gradients of metabolic activity to optimize photosynthetic C gain. Consequently, accounting for self-shading is less critical for predicting gross primary productivity at northern relative to southern latitudes. Northern trees also had a significantly smaller net positive C balance than southern trees suggesting that, regardless of canopy position, low photosynthetic rates coupled with high respiratory costs may ultimately constrain the northern range limit of this widely distributed boreal species. SUMMARY STATEMENTCanopy gradients in photosynthetic capacity of white spruce diminish at high compared to low latitudes. Low carbon balance in high latitude trees may determine the extent of northern treeline.
ecology
10.1101/2022.05.06.490885
Phasing of de novo mutations using a scaled-up multiple amplicon long-read sequencing approach
De novo mutations (DNMs) play an important role in severe genetic disorders that reduce fitness. To better understand the role of DNMs in disease, it is important to determine the parent-of-origin and timing of the mutational events that give rise to the mutations, especially in sex-specific developmental disorders such as male infertility. However, currently available short-read sequencing approaches are not ideally suited for phasing as this requires long continuous DNA strands that span both the DNM and one or more informative SNPs. To overcome these challenges, we optimised and implemented a multiplexed long-read sequencing approach using the Oxford Nanopore technologies MinION platform. We specifically focused on improving target amplification, integrating long-read sequenced data with high-quality short-read sequence data, and developing an anchored phasing computational method. This approach was able to handle the inherent phasing challenges that arise from long-range target amplification and the normal accumulation of sequencing error associated with long-read sequencing. In total, 77 out of 109 DNMs (71%) were successfully phased and parent-of-origin identified. The majority of phased DNMs were prezygotic (90%), the accuracy of which is highlighted by the average mutant allele frequency of 49.6% and a standard error margin of 0.84%. This study demonstrates the benefits of using an integrated short-read and long-read sequencing approach for large-scale DNM phasing.
genomics
10.1101/2022.05.06.490869
Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees
The microvasculature plays a key role in oxygen transport in the mammalian brain. Despite the close coupling between cerebral vascular geometry and local oxygen demand, recent experiments have reported that microvascular occlusions can lead to unexpected distant tissue hypoxia and infarction. To better understand the spatial correlation between the hypoxic regions and the occlusion sites, we used both in vivo experiments and in silico simulations to investigate the effects of occlusions in cerebral penetrating arteriole trees on tissue hypoxia. In a rat model of microembolisation, 25 {micro}m microspheres were injected through the carotid artery to occlude penetrating arterioles. In representative models of human cortical columns, the penetrating arterioles were occluded by simulating the transport of microspheres of the same size and the oxygen transport was simulated using a Greens function method. The locations of microspheres and hypoxic regions were segmented, and two novel distance analyses were implemented to study their spatial correlation. The distant hypoxic regions were found to be present in both experiments and simulations, and mainly due to the hypoperfusion in the region downstream of the occlusion site. Furthermore, a reasonable agreement for the spatial correlation between hypoxic regions and occlusion sites is shown between experiments and simulations, which indicates the good applicability of in silico models in understanding the response of cerebral blood flow and oxygen transport to microemboli. Author summaryThe brain function depends on the continuous oxygen supply through the bloodstream inside the microvasculature. Occlusions in the microvascular network will disturb the oxygen delivery in the brain and result in hypoxic tissues that can lead to infarction and cognitive dysfunction. To aid in understanding the formation of hypoxic tissues caused by micro-occlusions in the penetrating arteriole trees, we use rodent experiments and simulations of human vascular networks to study the spatial correlations between the hypoxic regions and the occlusion locations. Our results suggest that hypoxic regions can form distally from the occlusion site, which agrees with the previous observations in the rat brain. These distant hypoxic regions are primarily due to the lack of blood flow in the brain tissues downstream of the occlusion. Moreover, a reasonable agreement of the spatial relationship is found between the experiments and the simulations, which indicates the applicability of in silico models to study the effects of microemboli on the brain tissue.
bioengineering
10.1101/2022.05.06.490889
SimBu: Bias-aware simulation of bulk RNA-seq data with variable cell type composition
MotivationAs complex tissues are typically composed of various cell types, deconvolution tools have been developed to computationally infer their cellular composition from bulk RNA sequencing (RNA-seq) data. To comprehensively assess deconvolution performance, gold-standard datasets are indispensable. Gold-standard, experimental techniques like flow cytometry or immunohistochemistry are resource-intensive and cannot be systematically applied to the numerous cell types and tissues profiled with high-throughput transcriptomics. The simulation of pseudo-bulk data, generated by aggregating single-cell RNA-seq (scRNA-seq) expression profiles in pre-defined proportions, offers a scalable and cost-effective alternative. This makes it feasible to create in silico gold standards that allow fine-grained control of cell-type fractions not conceivable in an experimental setup. However, at present, no simulation software for generating pseudo-bulk RNA-seq data exists. ResultsWe developed SimBu, an R package capable of simulating pseudo-bulk samples based on various simulation scenarios, designed to test specific features of deconvolution methods. A unique feature of SimBu is the modelling of cell-type-specific mRNA bias using experimentally-derived or data-driven scaling factors. Here, we show that SimBu can generate realistic pseudo-bulk data, recapitulating the biological and statistical features of real RNA-seq data. Finally, we illustrate the impact of mRNA bias on the evaluation of deconvolution tools and provide recommendations for the selection of suitable methods for estimating mRNA content. ConclusionSimBu is a user-friendly and flexible tool for simulating realistic pseudo-bulk RNA-seq datasets serving as in silico gold-standard for assessing cell-type deconvolution methods. AvailabilitySimBu is freely available at https://github.com/omnideconv/SimBu as an R package under the GPL-3 license. [email protected] and [email protected] Supplementary informationSupplementary data are available at Bioinformatics online.
bioinformatics
10.1101/2022.05.06.490587
Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates
A successful response to immune checkpoint blockade treatment (ICB) depends on the functional re-invigoration of neoantigen-specific T cells and their anti-tumoral activity. Previous studies showed that the patients neoantigen candidate load is an imperfect predictor of the response to ICB. Further studies provided evidence that the overall response to ICB is also affected by the qualitative properties of a few or even single candidates, limiting the predictive power based on candidate quantity alone. To our knowledge, this is the first study to predict the response to ICB therapy based on qualitative neoantigen candidate profiles in the context of the mutation type, using a multiple instance learning approach. Multiple instance learning is a special branch of machine learning which classifies labelled bags that are formed by a set of unlabeled instances. The multiple instance learning approach performed systematically better than random guessing and was independent of the neoantigen candidate load. Qualitative modeling performed better in comparison to the quantitative approach, in particular for modelling low-abundant fusion genes. Our findings suggest that multiple instance learning is an appropriate method to predict immunotherapy efficacy based on qualitative neoantigen candidate profiles without relying on direct T-cell response information and provide a foundation for future developments in the field.
bioinformatics
10.1101/2022.05.06.490903
Spatio-temporal diversity of dietary preferences and stress sensibilities of early and middle Miocene Rhinocerotidae from Eurasia: impact of climate changes
Major climatic and ecological changes are documented in terrestrial ecosystems during the Miocene epoch. The Rhinocerotidae are a very interesting clade to investigate the impact of these changes on ecology, as they are abundant and diverse in the fossil record throughout the Miocene. Here, we explored the spatio-temporal evolution of rhinocerotids paleoecology during the early and middle Miocene in Europe and Pakistan. We studied the dental texture microwear (proxy for diet) and enamel hypoplasia (stress indicator) of 19 species belonging to four sub-tribes and an unnamed clade of Rhinocerotidae, and coming from nine Eurasian localities ranging from MN2 to MN7/8. Our results suggest a clear niche partitioning based on diet at Kumbi 4 (MN2, Pakistan), Sansan (MN6, France), and Villefranche dAstarac (MN7/8, France), while dietary overlap and subtle variations are discussed for Beon 1 (MN4, France) and Gra[c]anica (MN5/6, Bosnia-Herzegovina). All rhinocerotids studied were browsers or mixed-feeders, and none had a grazing nor frugivore diet. Regarding hypoplasia, the prevalence was moderate (~ 10%) to high (> 20 %) at all localities but Kumbi 4 (~ 6 %), and documented quite well the local conditions. Sansan and Devinska Nova Ves (MN6, Slovakia), both dated to the MN6 (i.e., by the middle Miocene Climatic Transition, ca. 13.9 Mya), had moderate hypoplasia prevalence. Besides locality, species and tooth locus were also important factors of variation for the prevalence of hypoplasia. The very large hippo-like Brachypotherium brachypus was one of the most affected species at all concerned localities (but Sansan), while early-diverging elasmotheriines were very little affected.
paleontology
10.1101/2022.05.06.490892
A new device for continuous non-invasive measurements of leaf water content using NIR-transmission allowing dynamic tracking of water budgets
Leaf water content (LWC) permanently fluctuates under variable transpiration rate and sap flow and influences e.g. stomatal responses and osmotic adjustment of plant cells. Continuous recordings of LWC are therefore central for the investigation of the regulatory networks stabilizing leaf hydration. Available measurement methods, however, either influence local hydration, interfere with the local leaf micro-environment or cannot easily be combined with other techniques. To overcome these limitations a non-invasive sensor was developed which uses light transmission in the NIR range for precise continuous recordings of LWC. For LWC measurements the transmission ratio of two NIR wavelengths was recorded using a leaf-specific calibration. Pulsed measurement beams enabled measurements under ambient light conditions. The contact-free sensor allows miniaturization and can be integrated into many different experimental settings. Example measurements of LWC during disturbances and recoveries of leaf water balance show the high precision and temporal resolution of the LWC sensor and demonstrate possible method combinations. Simultaneous measurements of LWC and transpiration allows to calculate petiole influx informing about the dynamic leaf water balance. With simultaneous measurements of stomatal apertures the relevant stomatal and hydraulic processes are covered, allowing insights into dynamic properties of the involved positive and negative feed-back loops.
plant biology
10.1101/2022.05.06.490895
Heart Rate Variability Covaries with Amygdala Functional Connectivity During Voluntary Emotion Regulation
The Neurovisceral Integration Model posits that shared neural networks support the effective regulation of emotions and heart rate, with heart rate variability (HRV) serving as an objective, peripheral index of prefrontal inhibitory control. Prior neuroimaging studies have predominantly examined both HRV and associated neural functional connectivity at rest, as opposed to contexts that require active emotion regulation. The present study sought to extend upon previous resting-state functional connectivity findings, examining HRV and corresponding amygdala functional connectivity during a cognitive reappraisal task. Seventy adults (52 old and 18 young adults, 18-84 years, 51% male) received instructions to cognitively reappraise negative and neutral affective images during functional MRI scanning. HRV measures were derived from a finger pulse signal throughout the scan. During the task, young adults exhibited a significant inverse association between HRV and amygdala-medial prefrontal cortex (mPFC) functional connectivity, in which higher HRV was correlated with weaker amygdala-mPFC coupling, whereas old adults displayed a slight positive, albeit non-significant correlation. Furthermore, voxelwise whole-brain functional connectivity analyses showed that higher HRV was linked to weaker right amygdala-posterior cingulate cortex connectivity across old and young adults, and in old adults, higher HRV positively correlated with stronger right amygdala - right ventrolateral prefrontal cortex connectivity. Collectively, these findings highlight the importance of assessing HRV and neural functional connectivity during active regulatory contexts to further identify neural concomitants of HRV and adaptive emotion regulation.
neuroscience
10.1101/2022.05.06.490864
Single neurons and networks in the claustrum integrate input from widespread cortical sources
The claustrum is highly interconnected with many structures in the brain, but the organizing principles governing its vast connectivity have yet to be fully explored. We investigated the defining characteristics and activity of single claustrum neurons, the nature of their relationship with the cortex, and their connectivity within the claustrum itself to gain a comprehensive view of claustral circuits. We show that the claustrum is composed of excitatory and inhibitory cell types that are connected through intraclaustral excitatory synapses, especially between neurons with disparate projection targets. Investigations of corticoclaustral innervation demonstrated that axons from the cortex localize to distinct dorsoventral modules depending on their region of origin. In vitro dual-color optogenetic mapping experiments revealed that individual claustrum neurons integrated inputs from more than one cortical region in a cell type- and projection target-specific manner. Integration in claustrum neurons was observed to be particularly common between areas of the frontal cortex and less so for sensory, motor, and association cortices. Finally, activity in claustrum axons in midline cortical areas recorded with in vivo two-photon calcium imaging showed responses to multimodal sensory stimuli. Our findings shed light on the organizing principles of claustrum circuits, demonstrating that individual claustrum neurons integrate cortical inputs and redistribute this information back to cortex after performing output target- and cell type-dependent local computations.
neuroscience
10.1101/2022.05.06.490899
The vectoring competence of the mite Varroa destructor for Deformed wing virus of honey bees is highly dynamic and affects survival of the mite.
The ectoparasitic mite, Varroa destructor and the viruses it vectors, including types A and B of Deformed wing virus (DWV), pose a major threat to honey bees, Apis mellifera. Analysis of 256 mites collected from the same set of colonies on five occasions from May to October 2021 showed that less than a half of them, 39.8% (95% confidence interval (CI): 34.0 - 46.0%), were able to induce an overt-level DWV infection with more than 109 viral genomes per bee in the pupa after 6 days of feeding, with both DWV-A and DWV-B being vectored at similar rates. To investigate the effect of the phoretic stage on the mites ability to vector DWV, the mites from two field collection events were divided into two groups, one of which was tested immediately for their infectiveness, and the other was kept with adult worker bees in cages for 12 days prior to testing their infectiveness. We found that while 39.2 % (95% CI: 30.0 - 49.1%) of the immediately tested mites induced overt-level DWV infections, 12-day phoretic passage significantly increased the infectiousness of mites to 89.8% (95% CI: 79.2 - 95.6%). It is likely that Varroa mites that survive brood interruptions in field colonies are increasingly infectious. We found that mite lifespan was significantly affected by the type of DWV it transmitted to pupae. The mites, which induced overt DWV-B but not DWV-A infection had an average lifespan of 15.5 days (95% CI: 11.8 - 19.2 days), which was significantly shorter than those of the mites which induced overt DWV-A but not DWV-B infection, with an average lifespan of 24.3 days (95% CI: 20.2 - 28.5), or the mites which did not induce high levels of DWV-A or DWV-B, with an average survival of 21.2 days (95% CI: 19.0 - 23.5 days). The mites which transmitted high levels of both DWV-A and DWV-B had an intermediate average survival of 20.5 days (95% CI: 15.1 - 25.9 days). The negative impact of DWV-B on mite survival could be a consequence of the ability of DWV-B, but not DWV-A to replicate in Varroa mites.
microbiology
10.1101/2022.05.05.490805
ACE2 nanoparticles prevent cell entry of SARS-CoV-2
We have now been in the grip of the COVID-19 pandemic for over two years with devastating consequences. The continual evolution of the virus has challenged the efficacy of many vaccines and treatment options based on immunotherapies are compromised by this viral escape. One treatment strategy that averts viral escape is the use of constructs based on its entry receptor Angiotensin-Converting Enzyme 2 (ACE2) acting as decoys. Here, we combined full-length human ACE2 with viral vectors commonly used for gene therapy to form nanoparticles that present ACE2 on their surface analogous to human cells. Using cell-based assays and direct, multiscale imaging including cryogenic cellular tomography, we show that these ACE2 nanoparticles are highly efficient in preventing entry of SARS-CoV-2, the virus causing COVID-19, in model cell systems as well as human respiratory tract ex-vivo cultures. Thus, ACE2 nanoparticles have high potential as the next generation therapeutics for addressing the immediate needs of the current pandemic and possible future outbreaks.
cell biology
10.1101/2022.05.06.490816
Intracellular connections between basal bodies promote the coordinated behavior of motile cilia
Hydrodynamic flow produced by multi-ciliated cells is critical for fluid circulation and cell motility. Hundreds of cilia beat with metachronal synchrony for fluid flow. Cilia-driven fluid flow produces extracellular hydrodynamic forces that cause neighboring cilia to beat in a synchronized manner. However, hydrodynamic coupling between neighboring cilia is not the sole mechanism that drives cilia synchrony. Cilia are nucleated by basal bodies (BBs) that link to each other and to the cells cortex via BB-associated appendages. The intracellular BB and cortical network is hypothesized to synchronize ciliary beating by transmitting cilia coordination cues. The extent of intracellular ciliary connections and the nature of these stimuli remain unclear. Moreover, how BB connections influence the dynamics of individual cilia has not been established. We show by FIB-SEM imaging that cilia are coupled both longitudinally and laterally in the ciliate Tetrahymena thermophila by the underlying BB and cortical cytoskeletal network. To visualize the behavior of individual cilia in live, immobilized Tetrahymena cells, we developed Delivered Iron Particle Ubiety Live Light-(DIPULL) microscopy. Quantitative and computer analyses of ciliary dynamics reveal that BB connections control ciliary waveform and coordinate ciliary beating. Loss of BB connections reduces cilia-dependent fluid flow forces. SummarySoh et al investigate whether intracellular connections between basal bodies control ciliary behavior in multi-ciliated cells. Using a Tetrahymena live cell immobilization technique to quantify ciliary dynamics, they show that inter-BB connections are required for effective ciliary waveform and coordinated ciliary beating that promotes fluid flow.
cell biology