title: Treatment with IgM-enriched intravenous immunoglobulins (IgM-IVIg) enhances clearance of stroke-associated bacterial lung infection

abstract:
Post-stroke infection is a common complication of stroke that is associated with increased mortality and morbidity. We previously found that experimental stroke induces an ablation of multiple sub-populations of B cells and reduced levels of IgM antibody that coincide with the development of spontaneous bacterial pneumonia. Reduced circulating IgM concentrations were also observed in acute stroke patients. The loss of IgM antibody after stroke could be an important determinant of infection susceptibility and highlights this pathway as an important target for intervention.

We treated mice with a low (replacement), dose of IgM-enriched intravenous immunoglobulin (IgM-IVIg) prior to and 24 h after experimental stroke induced by middle cerebral artery occlusion (MCAO) or sham surgery, then recovered mice for 2 d or 5 d. The effect of treatment on lung bacterial burden, lung pathology, brain infarct volume, antibody levels and both lung and systemic cellular and cytokine immune profiles was determined. Treatment with IgM-IVIg enhanced bacterial clearance from the lung after MCAO and improved pathology but did not impact infarct volume. IgM-IVIg treatment induced immunomodulatory effects systemically including rescue of splenic plasma B cell numbers and endogenous mouse IgM and IgA circulating immunoglobulin concentrations that were reduced by MCAO, and treatment also reduced concentrations of pro-inflammatory cytokines in the lung. The effects of MCAO and IgM-IVIg treatment on the immune system were tissue specific as no impact on B cells or mouse immunoglobulins were found within the lung. However, the presence of human immunoglobulins from the IgM-IVIg treatment led to increased total lung immunoglobulin concentration. IgM-IVIg treatment did not increase the number of lung mononuclear phagocytes or directly modulate macrophage phagocytic capacity but enhanced their capability to phagocytose Staphylococcus aureus bioparticles in vitro by increasing opsonisation.

Low dose IgM-IVIg contributes to increased clearance of spontaneous lung bacteria after MCAO likely via increasing availability of antibody in the lung to enhance phagocytic activity. Immunomodulatory effects of IgM-IVIg treatment, including reduced pro-inflammatory cytokine production, may also contribute to reduced levels of damage in the lung after MCAO. IgM-IVIg shows promise as an antibacterial and immunomodulatory agent to use in the treatment of post-stroke infection.

GRAPHICAL ABSTRACT

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title: Human TLR4 and noncanonical inflammasome differ in their ability to respond to distinct lipid A variants

abstract: Detection of Gram-negative bacterial lipid A by the extracellular sensor, MD-2/TLR4 or the intracellular inflammasome sensors, CASP4 and CASP5, induces robust inflammatory responses. The chemical structure of lipid A, specifically the phosphorylation and acylation state, varies across and within bacterial species, potentially allowing pathogens to evade or suppress host immunity. Currently, it is not clear how distinct alterations in the phosphorylation or acylation state of lipid A affect both human TLR4 and CASP4/5 activation. Using a panel of engineered lipooligosaccharides (LOS) derived from Yersinia pestis with defined lipid A structures that vary in their acylation or phosphorylation state, we identified that differences in phosphorylation state did not affect TLR4 or CASP4/5 activation. However, the acylation state differentially impacted TLR4 and CASP4/5 activation. Specifically, all of the examined tetra-, penta-, and hexa-acylated LOS variants activated CASP4/5-dependent responses, whereas TLR4 responded to penta- and hexa-acylated LOS but did not respond to tetra-acylated LOS or pentaacylated LOS lacking the secondary acyl chain at the 3 position. As expected, lipid A alone was sufficient for TLR4 activation; however, human macrophages required both lipid A and the core oligosaccharide to mount a robust CASP4/5 inflammasome response. Our findings show that human TLR4 and CASP4/5 detect both shared and non-overlapping LOS/lipid A structures, which enables the innate immune system to recognize a wider range of bacterial LOS/lipid A, thereby constraining the ability of pathogens to evade innate immune detection.

category: immunology


title: Distinct N and C cross-feeding networks in a synthetic mouse gut consortium

abstract:
The complex interactions between gut microbiome and host or pathogen colonization resistance cannot solely be understood from community composition. Missing are causal relationships such as metabolic interactions among species to better understand what shapes the microbiome. Here, we focused on metabolic niches generated and occupied by the Oligo-Mouse-Microbiota consortium, a synthetic community composed of 12 members that is increasingly used as a model for the mouse gut microbiome. Combining mono-cultures and spent medium experiments with untargeted metabolomics uncovered broad metabolic diversity in the consortium, constituting a dense cross-feeding network with more than 100 pairwise interactions. Quantitative analysis of the cross-feeding network revealed distinct C and N food webs that highlight the two Bacteroidetes consortium members B. caecimuris and M. intestinale as primary suppliers of carbon, and a more diverse group as nitrogen providers. Cross-fed metabolites were mainly carboxylic acids, amino acids, and the so far not reported nucleobases. In particular the dicarboxylic acids malate and fumarate provided a strong physiological benefit to consumers, presumably as anaerobic electron acceptors. Isotopic tracer experiments validated the fate of a subset of cross-fed metabolites, in particular the conversion of the most abundant cross-fed compound succinate to butyrate. Thus, we show that this consortium is tailored to produce the anti-inflammatory metabolite butyrate. Overall, we provide evidence for metabolic niches generated and occupied by OMM members that lays a metabolic foundation to facilitate understanding of the more complex in vivo behavior of this consortium in the mouse gut.

ImportanceThis article maps out the cross-feeding network amongst 10 members of a synthetic consortium that is increasingly used as the model mouse gut microbiota. Combining metabolomics with in vitro cultivations, two dense networks of carbon and nitrogen exchange are described. The vast majority of the about 100 interactions are synergistic in nature, in several cases providing distinct physiological benefits to the recipient species. These networks lay the ground work towards understanding gut community dynamics and host-gut microbe interactions.

category: microbiology


title: Comparative genomics of Acinetobacter baumannii and therapeutic bacteriophages from a patient undergoing phage therapy

abstract: In 2016, a 68-year-old patient with a disseminated multi-drug resistant Acinetobacter baumannii infection was treated using lytic bacteriophages in one of the first modern human clinical uses of phage therapy in the United States. Due to the emergency nature of the treatment there was little time to thoroughly characterize the phages used in this intervention or the pathogen itself. Here we report the genomes of the nine phages used for treatment and three strains of A. baumannii isolated prior to and during treatment. The eight phages used in the initial treatment were found to be a group of closely related T4-like myophages; the ninth phage, AbTP3{Phi}1, was found to be an unrelated Fri1-like podophage. Analysis of 19 A. baumannii isolates collected before and during phage treatment showed that resistance to the T4-like phages appeared as early as two days following the start of treatment. Three A. baumannii strains (TP1, TP2 and TP3) collected before and during treatment were sequenced to closure, and all contained a 3.9 Mb chromosome of sequence type 570 with a KL116 capsule locus and identical 8.7 kb plasmids. Phage-insensitive mutants of A. baumannii strain TP1 were generated in vitro and the majority of identified mutations were located in the bacterial capsule locus. The presence of the same mutation in both the in vitro mutants and in phage-insensitive isolates TP2 and TP3, which evolved in vivo during phage treatment, indicate that in vitro investigations can produce results that are relevant and predictive for the in vivo environment.


title: Transcriptomic responses of the human kidney to acute injury at single cell resolution

abstract:
BackgroundAcute kidney injury (AKI) occurs frequently in critically ill patients and is associated with adverse outcomes. Cellular mechanisms underlying AKI and kidney cell responses to injury remain incompletely understood.

MethodsWe performed single-nuclei transcriptomics, bulk transcriptomics, molecular imaging studies, and conventional histology on kidney tissues from 8 individuals with severe AKI (stage 2 or 3 according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria). Specimens were obtained within 1-2 hours after individuals had succumbed to critical illness associated with respiratory infections, with 4 of 8 individuals diagnosed with COVID-19. Control kidney tissues were obtained post-mortem or after nephrectomy from individuals without AKI.

ResultsHigh-depth single cell-resolved gene expression data of human kidneys affected by AKI revealed enrichment of novel injury-associated cell states within the major cell types of the tubular epithelium, in particular in proximal tubules, thick ascending limbs and distal convoluted tubules. Four distinct, hierarchically interconnected injured cell states were distinguishable and characterized by transcriptome patterns associated with oxidative stress, hypoxia, interferon response, and epithelial-to-mesenchymal transition, respectively. Transcriptome differences between individuals with AKI were driven primarily by the cell type-specific abundance of these four injury subtypes rather than by private molecular responses. AKI-associated changes in gene expression between individuals with and without COVID-19 were similar.

ConclusionThe study provides an extensive resource of the cell type-specific transcriptomic responses associated with critical illness-associated AKI in humans, highlighting recurrent disease-associated signatures and inter-individual heterogeneity. Personalized molecular disease assessment in human AKI may foster the development of tailored therapies.

category: molecular biology


title: Understanding the source of METTL3-independent m6A in mRNA

abstract: N6-methyladenosine (m6A) is a highly prevalent mRNA modification which promotes degradation of transcripts encoding proteins that have roles in cell development, differentiation, and other pathways. METTL3 is the major methyltransferase that catalyzes the formation of m6A in mRNA. As 30-80% of m6A can remain in mRNA after METTL3 depletion by CRISPR/Cas9-based methods, other enzymes are thought to catalyze a sizable fraction of m6A. Here, we re-examined the source of m6A in the mRNA transcriptome. We characterized mouse embryonic stem cell lines which continue to have m6A in their mRNA after Mettl3 knockout. We show that these cells express alternatively spliced Mettl3 transcript isoforms that bypass the CRISPR/Cas9 mutations and produce functionally active methyltransferases. We similarly show that other reported METTL3 knockout cell lines express altered METTL3 proteins. We find that gene dependency datasets show that most cell lines fail to proliferate after METTL3 deletion, suggesting that reported METTL3 knockout cell lines express altered METTL3 proteins rather than have full knockout. Finally, we reassessed METTL3s role in synthesizing m6A using a genomic deletion of Mettl3, and found that METTL3 is responsible for >95% of m6A in mRNA. Overall, these studies suggest that METTL3 is responsible for the vast majority of m6A in the transcriptome, and that remaining m6A in putative METTL3 knockout cell lines is due to the expression of altered but functional METTL3 isoforms.


title: Modified forms of easyCLIP

abstract: The easyCLIP protocol describes a method for both normal CLIP library construction and the absolute quantification of RNA cross-linking rates, data which could be usefully combined to analyze RNA-protein interactions. Using these cross-linking metrics, significant interactions could be defined relative to a set of random non-RBPs. The original easyCLIP protocol did not use index reads, required custom sequencing primers, and did not have an easily reproducible analysis workflow. This short paper attempts to amend these deficiencies. It also includes some additional technical experiments and investigates the usage of alternative adapters. The results here are intended to allow more options to easily perform and analyze easyCLIP.


title: Controlling homology-directed repair outcomes in human stem cells with dCas9

abstract: Modeling human disease in human stem cells requires precise, scarless editing of single nucleotide variants (SNV) on one or both chromosomes. Here we describe improved conditions for Cas9 RNP editing of SNVs that yield high rates of biallelic homology-directed repair. To recover both heterozygous and homozygous SNV clones, catalytically inactive  dCas9was added to moderate high activity Cas9 RNPs. dCas9 can also block re-cutting and damage to SNV alleles engineered with non-overlapping guide RNAs.

category: genetics


title: Specific vulnerability of long telomeres to undergo end fusions revealed by mutational analysis of Rap1

abstract: The conserved Rap1 protein is part of the shelterin complex that plays critical roles in chromosome end protection and telomere length homeostasis. Previous studies addressed how fission yeast Rap1 contributes to telomere length maintenance, but the mechanism by which the protein inhibits end fusions has remained elusive. Here, we use a genetic screen in combination with high throughput sequencing to identify several amino acid positions in Rap1 that have a key role in end protection. Interestingly, mutations at these sites render cells susceptible to genome instability in a conditional manner with longer telomeres being prone to undergoing end fusions, while short telomeres are sufficiently protected. The protection of long telomeres requires their nuclear envelope attachment mediated by the Rap1-Bqt4 interaction. Our data demonstrates that longer telomeres pose an additional challenge for the maintenance of genome integrity and provides an explanation for a species-specific upper limit in telomere length.


title: High-affinity nanobodies as tools for structural and functional studies on mammalian Arc

abstract: Activity-regulated cytoskeleton-associated protein (Arc) is a multidomain protein of retroviral origin with a vital role in the regulation of synaptic plasticity and memory formation in mammals. However, the mechanistic and structural basis of Arc function is little understood. Arc has an NTD involved in membrane binding and a CTD which binds postsynaptic protein ligands. In addition, the NTD and CTD both function in Arc oligomerization, including assembly of retrovirus-like capsid involved in intercellular signaling. We produced and characterised six ultra-high-affinity anti-Arc nanobodies (Nb). The CTD of both rat and human Arc could be crystallised in ternary complexes with two Nbs simultaneously bound (H11 and C11). H11 binding deep into the stargazing-binding pocket of Arc CTD suggested competitive binding with Arc ligand peptides, which was confirmed in vitro. This indicates that the H11 Nb could serve as a genetically-encoded tool for inhibition of endogenous Arc N-lobe interactions in study of neuronal function and plasticity. The crystallisation of the human Arc CTD in two different conformations, accompanied by SAXS data and molecular dynamics simulations, paints a dynamic picture of the mammalian Arc CTD. Dynamics were affected by mutations known to inhibit capsid formation, implying a role for Arc CTD dynamics in oligomerisation. Dimerisation of the NTD, together with structural dynamics of the CTD, suggest a mechanism, by which structural dynamics of the CTD may promote capsomer formation, and dimerisation of the NTD links capsomers, facilitating the formation of capsids. The described recombinant ultrahigh-affinity anti-Arc Nbs are versatile tools that can be further developed for studying mammalian Arc structure and function in vitro and in vivo.

category: biochemistry


title: The p97 cofactor Ubxn7 facilitates replisome disassembly during S-phase

abstract: Complex cellular processes are driven by the regulated assembly and disassembly of large multi-protein complexes. In eukaryotic DNA replication, whilst we are beginning to understand the molecular mechanism for assembly of the replication machinery (replisome), we still know relatively little about the regulation of its disassembly at replication termination. Over recent years, the first elements of this process have emerged, revealing that the replicative helicase, at the heart of the replisome, is polyubiquitylated prior to unloading and that this unloading requires p97 segregase activity. Two different E3 ubiquitin ligases are now known to ubiquitylate the helicase under different conditions: Cul2Lrr1 and TRAIP. Here we have found two p97 cofactors, Ubxn7 and Faf1, which can interact with p97 during replisome disassembly in S-phase. Only Ubxn7 however facilitates efficient replisome disassembly through its interaction with both Cul2Lrr1 and p97. Our data therefore characterise Ubxn7 as the first substrate-specific p97 cofactor regulating replisome disassembly in vertebrates.


title: Understanding p300-transcription factor interactions using sequence variation and hybridization

abstract: The hypoxic response is central to cell function and plays a significant role in the growth and survival of solid tumours. HIF-1 regulates the hypoxic response by activating over 100 genes responsible for adaptation to hypoxia, making it a potential target for anticancer drug discovery. Although there is significant structural and mechanistic understanding of the interaction between HIF-1 and p300 alongside negative regulators of HIF-1 such as CITED2, there remains a need to further understand the sequence determinants of binding. In this work we use a combination of protein expression, chemical synthesis, fluorescence anisotropy and isothermal titration calorimetry for HIF-1 sequence variants and a HIF-1- CITED hybrid sequence which we term CITIF. We show the HIF-1 sequence is highly tolerant to sequence variation through reduced enthalpic and less unfavourable entropic contributions, These data imply backbone as opposed to side chain interactions and ligand folding control the binding interaction and that sequence variations are tolerated as a result of adopting a more disordered bound interaction or "fuzzy" complex.


title: Nfeature: A platform for computing features of nucleotide sequences

abstract: In the past few decades, public repositories on nucleotides have increased with exponential rates. This pose a major challenge to researchers to predict the structure and function of nucleotide sequences. In order to annotate function of nucleotide sequences it is important to compute features/attributes for predicting function of these sequences using machine learning techniques. In last two decades, several software/platforms have been developed to elicit a wide range of features for nucleotide sequences. In order to complement the existing methods, here we present a platform named Nfeature developed for computing wide range of features of DNA and RNA sequences. It comprises of three major modules namely Composition, Correlation, and Binary profiles. Composition module allow to compute different type of compositions that includes mono-/di-tri-nucleotide composition, reverse complement composition, pseudo composition. Correlation module allow to compute various type of correlations that includes auto-correlation, cross-correlation, pseudo-correlation. Similarly, binary profile is developed for computing binary profile based on nucleotides, mono-nucleotides, di-/tri-nucleotide properties. Nfeature also allow to compute entropy of sequences, repeats in sequences and distribution of nucleotides in sequences. In addition to compute feature in whole sequence, it also allows to compute features from part of sequence like split, start, end, and rest. In a nutshell, Nfeature amalgamates existing features as well as number of novel features like nucleotide repeat index, distance distribution, entropy, binary profile, and properties. This tool computes a total of 29217 and 14385 features for DNA and RNA sequence, respectively. In order to provide, a highly efficient and userfriendly tool, we have developed a standalone package and web-based platform (https://webs.iiitd.edu.in/raghava/nfeature).

category: bioinformatics


title: Discrete LAT condensates encode antigen information from single pMHC:TCR binding events

abstract: LAT assembly into a two-dimensional protein condensate is a prominent feature of antigen discrimination by T cells. Here, we use single-molecule imaging techniques to resolve the spatial position and temporal duration of each pMHC:TCR molecular binding event while simultaneously monitoring LAT condensation at the membrane. An individual binding event is sufficient to trigger a LAT condensate, which is self-limiting, and neither its size nor lifetime is correlated with the duration of the originating pMHC:TCR binding event. Only the probability of the LAT condensate forming is related to the pMHC:TCR binding dwell time. LAT condenses abruptly, but after an extended delay from the originating binding event. A LAT mutation that facilitates phosphorylation at the PLC-{gamma}1 recruitment site shortens the delay time to LAT condensation and alters T cell antigen specificity. These results identify a role for the LAT protein condensation phase transition in setting antigen discrimination thresholds in T cells.

category: biophysics


title: Structure of the hepatitis C virus E1E2 glycoprotein complex

abstract: Hepatitis C virus (HCV) infection is a leading cause of chronic liver disease, cirrhosis, and hepatocellular carcinoma in humans, and afflicts more than 58 million people worldwide. The HCV envelope E1 and E2 glycoproteins are essential for viral entry and infection, and comprise the primary antigenic target for neutralizing antibody responses. The molecular mechanisms of E1E2 assembly, as well as how the E1E2 heterodimer binds broadly neutralizing antibodies, remains elusive. We present the cryo-electron microscopy (cryoEM) structure of the membrane-extracted full-length E1E2 heterodimer in complex with broadly neutralizing antibodies (bNAbs) AR4A, AT12009 and IGH505 at [~]3.5 [A] resolution. We resolve the long sought-after interface between the E1 and E2 ectodomains and reveal how it is stabilized by hydrophobic interactions and glycans. This structure deepens our understanding of the HCV fusion glycoprotein and delivers a blueprint for the rational design of novel vaccine immunogens and anti-viral drugs.


title: Invasive slipper limpets Crepidula fornicata act like a sink, rather than source, of Vibrio spp.

abstract: A large knowledge gap exists regarding the disease profile and pathologic condition of the invasive, non-native, slipper limpet Crepidula fornicata. To help address this, we performed a yearlong health survey across two sites in South Wales UK - subtidal Swansea Bay and intertidal Milford Haven. In total, 1,800 limpets were screened systematically for haemolymph bacterial burdens using both general and vibrio-selective growth media (TSA +2% NaCl and TCBS, respectively), haemolymph (blood) inspection using microscopy, a PCR-based assay targeting Vibrio spp., and multi-tissue histology. Over 99% of haemolymph samples contained cultivable bacterial colony forming units, and 83% of limpets tested positive for the presence of vibrios via PCR (confirmed via Sanger sequencing). Vibrio presence did not vary greatly across sites, yet a strong temporal (seasonal) effect was observed - significantly higher bacterial loads during the summer. Binomial logistic regression models revealed larger (older) limpets were more likely to harbour vibrios, and the growth of bacteria on TCBS was a key predictor for PCR-based vibrio detection. Histological assessment of >340 animals revealed little evidence of inflammation, sepsis, or immune reactivity despite the gross bacterial numbers. We contend that slipper limpets are not susceptible to bacteriosis at either site surveyed, or do not to harbour vibrios known to be pathogenic to humans. The lack of susceptibility to local pathogenic bacteria may explain, in part, the invasion success of C. fornicata across this region.


title: Interferon-gamma mediates skeletal muscle lesions through JAK/STAT pathway activation in inclusion body myositis

abstract: Dysimmune and Inflammatory Myopathies (DIMs) are acquired idiopathic myopathy associated with immune response dysregulation. Inclusion Body Myositis (IBM), the most common DIMs, is characterized by endomysial infiltrates of cytotoxic T lymphocytes CD8, muscle type II-interferon (IFN{gamma}) signature, and by the lack of response to immunomodulatory therapies. We showed that IBM was pathologically characterized by the presence of chronic degenerative myopathic features including myofiber atrophy, fibrosis, adipose involution, and the altered functions of skeletal muscle stem cells. Here, we demonstrated that protracted systemic exposure to IFN{gamma} delayed muscle regeneration and led to IBM-like muscular degenerative changes in mice. In vitro, IFN{gamma} treatment inhibited the activation, proliferation, migration, differentiation, and fusion of myogenic progenitor cells and promoted their senescence through JAK-STAT-dependent activation. Finally, JAK-STAT inhibitor, ruxolitinib abrogated the deleterious effects of IFN{gamma} on muscle regeneration, suggesting that the JAK-STAT pathway could represent a new therapeutic target for IBM.

category: cell biology


title: Protein Posttranslational Signatures Identified in COVID-19 Patient Plasma

abstract:
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a highly contagious virus of the coronavirus family that causes coronavirus disease-19 (COVID-19) in humans and a number of animal species. COVID-19 has rapidly propagated in the world in the past 2 years, causing a global pandemic. Here, we performed proteomic analysis of plasma samples from COVID-19 patients compared to healthy control donors in an exploratory study to gain insights into protein-level changes in the patients caused by SARS-CoV-2 infection and to identify potential proteomic and posttranslational signatures of this disease. Our results suggest a global change in protein processing and regulation that occurs in response to SARS-CoV-2, and the existence of a posttranslational COVID-19 signature that includes an elevation in threonine phosphorylation, a change in glycosylation, and a decrease in arginylation, an emerging posttranslational modification not previously implicated in infectious disease. This study provides a resource for COVID-19 researchers and, longer term, will inform our understanding of this disease and its treatment.

Key PointsO_LIPlasma from COVID-19 patients exhibits prominent protein- and peptide-level changes
C_LIO_LIProteins from COVID-19 patient plasma exhibit prominent changes in several key posttranslational modifications
C_LI


title: Systematic simulation of the interactions of Pleckstrin homology domains with membranes

abstract:
Pleckstrin homology (PH) domains can recruit proteins to membranes by recognition of phosphatidylinositol phosphates (PIPs). Here we report the systematic simulation of the interactions of 100 mammalian PH domains with PIP containing model membranes. Comparison with crystal structures of PH domains bound to PIP analogues demonstrates that our method correctly identifies interactions at known canonical and non-canonical sites, while revealing additional functionally important sites for interaction not observed in the crystal structure, such as for P-Rex1 and Akt1. At the family level, we find that the {beta}1 and {beta}2 strands and their connecting loop constitute the primary PIP interaction site for the majority of PH domains, but we highlight interesting exceptional cases. Simultaneous interaction with multiple PIPs and clustering of PIPs induced by PH domain binding are also observed. Our findings support a general paradigm for PH domain membrane association involving multivalent interactions with anionic lipids.

TeaserSimulating the binding of 100 Pleckstrin homology domains to cell membranes reveals patterns in their lipid interactions.


title: Predicting biomass of resident kokopu (Galaxias) populations using local habitat composition

abstract: With the global decline of freshwater fishes, quantifying the body size-specific habitat use of vulnerable species is crucial for accurately evaluating population health, identifying the effects of anthropogenic stressors, and directing effective habitat restoration. Populations of New Zealands endemic k[o]kopu species (Galaxias fasciatus, G. argenteus, and G. postvectis) have declined substantially over the last century in response to anthropogenic stressors, including habitat loss and fragmentation, invasive species, and over-exploitation. Despite well-understood habitat associations, key within-habitat features driving the reach-scale biomass of small and large k[o]kopu remain unclear. Here, we investigated whether the total biomass of small ([≤] 90 mm) and large (> 90 mm) k[o]kopu was associated with total pool area, average pool depth, total bank cover, average substrate size, and average forest canopy cover across fifty-seven 50 m reaches. These features were selected because generally pool habitats are productive feeding areas, bank cover and substrate interstices are important refuges, and forest cover provides greater food availability. Because k[o]kopu are nocturnal, populations were sampled with removal at night using headlamps and hand-nets until reaches were visually depleted. Using Akaikes information criterion, it was found that increases in large k[o]kopu biomass were most parsimoniously explained by greater pool area and bank cover, whereas increases in small k[o]kopu biomass were best explained by low bank cover and greater average forest cover. This study demonstrated the importance of considering the ontogenetic shift in species habitat use and provided an effective modelling approach for quantifying the size-specific habitat use of these stream-dwelling fish.

category: ecology


title: Investigation on the changes of Bifidobacterium and lactic acid bacteria in soybean meal fermented feed

abstract: The main objective of this research was to explore the dynamic changes of Bifidobacterium and lactic acid bacteria (LAB) in the process of feed fermentation under anaerobic condition, so as to increase the number of fermented bacteria of Bifidobacterium from the aspect of strain combination. The results showed that when Bifidobacterium lactis (B. lactis, i.e. Bifidobacterium animalis subsp. lactis) fermented with Bacillus coagulans or Lactobacillus paracasei, the maximum number of B. lactis in those samples was 9.42 times and 4.64 times of that of fermented sample with B. lactis only. The soybean meal was fermented by B. lactis, L. paracasei and B. coagulans, and the number of B. lactis reached the maximum after fermented 10 days, which was 6.13 times of that in unfermented sample. The reducing sugar content and highest activity of -galactosidase were higher than the control. These results suggest that B. coagulans and L. paracasei can promote the growth of B. lactis. It is inferred that B. coagulans can metabolize normally in aerobic, micro-aerobic and anaerobic environments, consume oxygen, produce digestive enzymes, and cooperate with L. paracasei to produce metabolic products benefit for the growth of B. lactis.


title: Anti-inflammatory and neuroprotective activity of Viphyllin a standardized extract of β-caryophyllene from black pepper (Piper Nigrum L) and its associated mechanisms in mouse macrophage cells and Human Neuroblastoma SH-SY5Y cells

abstract: Oxidative stress breeds various chronic lifestyle ailments including inflammatory conditions and neurodegenerative diseases. {beta}-caryophyllene natural bicyclic sesquiterpene, obtained from various plants sources found to be effective against inflammation and neuroprotection. In this study, we have evaluated the protective effect of Viphyllin, a standardized extract of {beta}-caryophyllene from black pepper against inflammation induced by lipopolysaccharide in RAW264.7 macrophage cells and mechanisms involved in hydrogen peroxide (H2O2)-challenged oxidative stress in human neuroblastoma SH-SY5Y cells. Viphyllin demonstrated the anti-inflammatory activity by subsiding the release of the pro-inflammatory intermediaries like NO, cytokines, interleukins, and protein expression levels of cyclooxygenase (COX-2) and inducible nitric oxide synthase (iNOS). In addition, Viphyllin suppressed the extracellular signal-regulated kinase (ERK). c-Jun N-terminal kinase (JNK) and p38 mitogen-activated protein kinase (MAPK) phosphorylation. On the other hand, Viphyllin showed neuroprotective effect against neuronal oxidative damage caused by H2O2. Viphyllin lessened the expression B-cell lymphoma-2 (Bcl-2), B-cell lymphoma-2-associated X protein (BAX), cleaved caspase-9, and PARP-1 proteins associated with apoptosis. Our results indicate that Viphyllin ameliorated LPS-mediated inflammation in macrophages by regulating inflammation and Viphyllin exerted remarkable anti apoptotic effect against neuronal damage challenged by H2O2. Altogether, Viphyllin could be potential functional food ingredient for inflammation and neurodegenerative diseases.


title: Semantic representations during language comprehension are affected by context

abstract:
The meaning of words in natural language depends crucially on context. However, most neuroimaging studies of word meaning use isolated words and isolated sentences with little context. Because the brain may process natural language differently from how it processes simplified stimuli, there is a pressing need to determine whether prior results on word meaning generalize to natural language. We investigated this issue by directly comparing the brain representation of semantic information across four conditions that vary in context. fMRI was used to record human brain activity while four subjects (two female) read words presented in four different conditions: narratives (Narratives), isolated sentences (Sentences), blocks of semantically similar words (Semantic Blocks), and isolated words (Single Words). Using a voxelwise encoding model approach, we find two clear and consistent effects of increasing context. First, stimuli with more context (Narratives, Sentences) evoke brain responses with substantially higher SNR across bilateral visual, temporal, parietal, and prefrontal cortices compared to stimuli with little context (Semantic Blocks, Single Words). Second, increasing context increases the representation of semantic information across bilateral temporal, parietal, and prefrontal cortices at the group level. However, in individual subjects, only natural language stimuli (Narratives) consistently evoke widespread representation of semantic information across the cortical surface. These results show that context has large effects on both the quality of neuroimaging data and on the representation of meaning in the brain, and they imply that the results of neuroimaging studies that use stimuli with little context may not generalize well to the natural regime.

Significance StatementContext is an important part of understanding the meaning of natural language, but most neuroimaging studies of meaning use isolated words and isolated sentences with little context. Here we examined whether the results of neuroimaging studies that use out-of-context stimuli generalize to natural language. We find that increasing context improves the quality of neuroimaging data and changes where semantic information is represented in the brain. These results suggest that findings from studies using out-of-context stimuli may not generalize to natural language used in daily life.

category: neuroscience


title: The costs and benefits of dispersal in small populations

abstract: AO_SCPLOWBSTRACTC_SCPLOWDispersal has three major effects on adaptation. First, gene flow mixes alleles adapted to different environments, potentially hindering (swamping) adaptation. Second, it brings in other variants and inflates genetic variance: this aids adaptation to spatially (and temporally) varying environments but if selection is hard, it lowers the mean fitness of the population. Third, neighbourhood size, which determines how weak genetic drift is, increases with dispersal - when genetic drift is strong, increase of the neighbourhood size with dispersal aids adaptation. In this note I focus on the role of dispersal in environments which change gradually across space, and when local populations are quite small such that genetic drift has a significant effect. Using individual-based simulations, I show that in small populations, even leptokurtic dispersal benefits adaptation, by reducing the power of genetic drift. This has implications for management of fragmented or marginal populations: the beneficial effect of increased dispersal into small populations is stronger than swamping of adaption under a broad range of conditions, including a mixture of local and long-distance dispersal. However, when environmental gradient is steep, heavily fat-tailed dispersal will swamp continuous adaptation so that only patches of locally adapted subpopulations remain.

category: evolutionary biology


title: A reference induced pluripotent stem cell line for large-scale collaborative studies

abstract:
Human induced pluripotent stem cells (iPSCs) are a powerful tool for studying development and disease. However, different iPSC lines show considerable phenotypic variation. The lack of common well-characterised cell lines that are used widely frustrates efforts to integrate data across research groups or replicate key findings. Inspired by model organism communities who addressed this issue by establishing a limited number of widely accepted strains, we characterised candidate iPSC lines in unprecedented detail to select a well-performing line to underpin collaborative studies. Specifically, we characterised the morphology, growth rates, and single-cell transcriptomes of iPSC lines in the pluripotent state and assessed their genomic integrity using karyotyping, DNA microarrays, whole genome sequencing, and functional assays for p53 activity. We further tested their ability to be edited by CRISPR/Cas9 and used single-cell RNA sequencing to compare the efficiency with which they could be differentiated into multiple lineages. We found that there was significant variability in the performance of lines across the tested assays that enabled the rational selection of a lead line, KOLF2.1J, which is a gene-corrected derivative of a publicly available line from the Human Induced Pluripotent Stem Cells Initiative (HipSci) resource. We are now using this line in an initiative from the NIH Center for Alzheimers and Related Dementias to derive hundreds of gene-edited and functionalized sub-clones to be distributed widely throughout the research community along with associated datasets, with the aim of promoting the standardisation required for large-scale collaborative science in the stem cell field.

SummaryThe authors of this collaborative science study describe a deep characterisation of widely available human induced pluripotent stem cell (hiPSC) lines to rationally select a line that performs well in multiple experimental approaches. Analysis of transcriptional patterns in the pluripotent state, whole genome sequencing, genomic stability after highly efficient CRISPR-mediated gene editing, integrity of the p53 pathway, and differentiation efficiency towards multiple lineages identified KOLF2.1J as an all-around well-performing cell line. The widespread distribution and use of this line makes it an attractive cell line for comparative and collaborative efforts in the stem cell field.

HighlightsO_LIDeep genotyping and phenotyping reveal KOLF2.1J as an all-around well-performing cell line that is readily distributed and could serve as common reference line
C_LIO_LIDespite rare copy-neutral loss of heterozygosity (CN-LOH) events, iPSC lines retain genomic fidelity after CRISPR/Cas9-based gene editing
C_LIO_LIOur multifactorial pipeline serves as a blueprint for future efforts to identify other lead iPSC lines
C_LI

Graphical abstract

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title: Lactate regulation of activation in CD8+ T cells

abstract: CD8+ T cells infiltrate virtually every tissue to find and destroy infected or mutated cells. They often traverse varying oxygen levels and nutrient-deprived microenvironments. High glycolytic activity in tissues can result in extended exposure of cytotoxic T cells to the metabolite lactate. Lactate can be immunosuppressive, at least in part due to its association with tissue acidosis. We show here that the lactate anion is well tolerated by CD8+ T cells in pH neutral conditions. We describe how lactate is taken up by activated CD8+ T cells and is capable of displacing glucose as a carbon source. Activation in the presence of a pH neutral form of lactate significantly alters the CD8+ T cell transcriptome, including the expression of key effector differentiation markers such as granzyme B and interferon-gamma. Our studies reveal the novel metabolic features of lactate utilization by activated CD8+ T cells, and highlight the importance of lactate in shaping the differentiation and activity of cytotoxic T cells.


title: The histone methyltransferase NSD3 contributes to cohesin loading during mitotic exit

abstract: During the cell cycle, dynamic post-translational modifications modulate the association of the cohesin complex with chromatin. Phosphorylation / dephosphorylation and acetylation / deacetylation of histones and of cohesin components ensure correct establishment of cohesion during S phase and its proper dissolution during mitosis. In contrast, little is known about the contribution of methylation to the regulation of sister chromatid cohesion. We performed a RNA interference-mediated inactivation screen against 14 histone methyltransferases of the SET domain family that highlighted NSD3 as a factor essential for sister chromatid cohesion in mitosis. We established that NSD3 ensures proper level of the cohesin loader MAU2 and of cohesin itself onto chromatin at mitotic exit. Consistent with its implication in the loading of kollerin and cohesin complexes onto chromatin, we showed that NSD3 associates with chromatin in early anaphase prior to that of MAU2 and RAD21 and dissociates from chromatin upon cells entry into prophase. Finally, we demonstrated that of the two NSD3 variant that exist in somatic cells, the long form that carries the methyltransferase activity is the one that acts in cohesion regulation. Taken together, these results describe a novel factor associated with histone methylation in cohesin loading.


title: Dynamic in situ confinement triggers ligand-free neuropeptide receptor signaling

abstract:
Membrane receptors are central to cell-cell communication. Receptor clustering at the plasma membrane modulates physiological responses, and microscale receptor organization is critical for downstream signaling. Spatially restricted cluster formation of the neuropeptide Y2 hormone receptor (Y2R) was observed in vivo; however, the relevance of this confinement is not fully understood. Here, we controlled Y2R clustering in situ by a multivalent chelator nanotool in prestructured matrices. Fast Y2R enrichment in microscale arrays triggered a ligand-independent downstream signaling determined by an increase in cytosolic calcium, cell spreading and migration. We reveal that ligand-independent signaling by confinement differs from ligand-induced activation in the recruitment of arrestin-3 as downstream effector, which was recruited to confined regions only in presence of the ligand. The employed multivalent nanotool facilitated a dynamic receptor enrichment with high exchange in the confined regions, comparable to microscale condensates. This concept enables in situ organization of membrane receptors and the exploration of ligand-independent receptor signaling.

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title: Genetic Sex Validation for Sample Tracking in Clinical Testing

abstract:
BackgroundNext generation DNA sequencing (NGS) has been rapidly adopted by clinical testing laboratories for detection of germline and somatic genetic variants. The complexity of sample processing in a clinical DNA sequencing laboratory creates multiple opportunities for sample identification errors, demanding stringent quality control procedures.

MethodsWe utilized DNA genotyping via a 96-SNP PCR panel applied at sample acquisition in comparison to the final sequence, for tracking of sample identity throughout the sequencing pipeline. The 96-SNP PCR panels inclusion of sex SNPs also provides a mechanism for a genotype-based comparison to recorded sex at sample collection for identification. This approach was implemented in the clinical genomic testing pathways, in the multi-center Electronic Medical Records and Genomics (eMERGE) Phase III program

ResultsWe identified 110 inconsistencies from 25,015 (0.44%) clinical samples, when comparing the 96-SNP PCR panel data to the test requisition-provided sex. The 96-SNP PCR panel genetic sex predictions were confirmed using additional SNP sites in the sequencing data or high-density hybridization-based genotyping arrays. Results identified clerical errors, samples from transgender participants and stem cell or bone marrow transplant patients and undetermined sample mix-ups.

ConclusionThe 96-SNP PCR panel provides a cost-effective, robust tool for tracking samples within DNA sequencing laboratories, while the ability to predict sex from genotyping data provides an additional quality control measure for all procedures, beginning with sample collections. While not sufficient to detect all sample mix-ups, the inclusion of genetic versus reported sex matching can give estimates of the rate of errors in sample collection systems.

category: genomics


title: Precise quantification of behavioral individuality from 80 million decisions across 183,000 flies

abstract: Individual animals behave differently from each other. This variability is a component of personality and arises even when genetics and environment are held constant. Discovering the biological mechanisms underlying behavioral variability depends on efficiently measuring individual behavioral bias, a requirement that is facilitated by automated, high-throughput experiments. We compiled a large data set of individual locomotor behavior measures, acquired from over 183,000 fruit flies walking in Y-shaped mazes. With this data set we first conducted a "computational ethology natural history" study to quantify the distribution of individual behavioral biases with unprecedented precision and examine correlations between behavioral measures with high power. We discovered a slight, but highly significant, left-bias in spontaneous locomotor decision-making. We then used the data to evaluate standing hypotheses about biological mechanisms affecting behavioral variability, specifically: the neuromodulator serotonin and its precursor transporter, heterogametic sex, and temperature. We found a variety of significant effects associated with each of these mechanisms that were behavior-dependent. This indicates that the relationship between biological mechanisms and behavioral variability may be highly context dependent. Going forward, automation of behavioral experiments will likely be essential in teasing out the complex causality of individuality.


title: Integration of allocentric and egocentric visual information in a convolutional / multilayer perceptron network model of goal-directed gaze shifts

abstract: Allocentric (landmark-centered) and egocentric (eye-centered) visual codes are fundamental for spatial cognition, navigation, and goal-directed movement. Neuroimaging and neurophysiology suggest these codes are segregated initially, but then reintegrated in frontal cortex for movement control. We created and validated a theoretical framework for this process using physiologically constrained inputs and outputs. To implement a general framework, we integrated a Convolutional Neural Network (CNN) of the visual system with a Multilayer Perceptron (MLP) model of the sensorimotor transformation. The network was trained on a task where a landmark shifted relative to the saccade target. These visual parameters were input to the CNN, the CNN output and initial gaze position to the MLP, and a decoder transformed MLP output into saccade vectors. Decoded saccade output replicated idealized training sets with various allocentric weightings, and actual monkey data where the landmark shift had a partial influence (R2 = 0.8). Furthermore, MLP output units accurately simulated prefrontal response field shifts recorded from monkeys during the same paradigm. In summary, our model replicated both the general properties of the visuomotor transformations for gaze and specific experimental results obtained during allocentric-egocentric integration, suggesting it can provide a general framework for understanding these and other complex visuomotor behaviors.


title: isomiRs-specific differential expression is the rule, not the exception: Are we missing hundreds of species in microRNA analysis?

abstract: MicroRNAs (miRNAs) are small RNA molecules that act as regulators of gene expression through targeted mRNA degradation. They are involved in many biological and pathophysiological processes and are widely studied as potential biomarkers and therapeutics agents for human diseases, including cardiovascular disorders. Recently discovered isoforms of miRNAs (isomiRs) exist in high quantities and are very diverse. Despite having few differences with their corresponding reference miRNAs, they display specific functions and expression profiles, across tissues and conditions. However, they are still overlooked and understudied, as we lack a comprehensive view on their condition-specific regulation and impact on differential expression analysis. Here, we show that isomiRs can have major effects on differential expression analysis results, as their expression is independent of their host miRNA genes or reference sequences. We present two miRNA-seq datasets from human umbilical vein endothelial cells, and assess isomiR expression in response to senescence and compartment-specificity (nuclear/cytosolic) under hypoxia. We compare three different methods for miRNA analysis, including isomiR-specific analysis, and show that ignoring isomiRs induces major biases in differential expression. Moreover, isomiR analysis permits higher resolution of complex signal dissection, such as the impact of hypoxia on compartment localization, and differential isomiR type enrichments between compartments. Finally, we show important distribution differences across conditions, independently of global miRNA expression signals. Our results raise concerns over the quasi exclusive use of miRNA reference sequences in miRNA-seq processing and experimental assays. We hope that our work will guide future isomiR expression studies, which will correct some biases introduced by golden standard analysis, improving the resolution of such assays and the biological significance of their downstream studies.


title: MDITRE: scalable and interpretable machine learning for predicting host status from temporal microbiome dynamics

abstract: Longitudinal microbiome datasets are being generated with increasing regularity, and there is broad recognition that these studies are critical for unlocking the mechanisms through which the microbiome impacts human health and disease. Yet, there is a dearth of computational tools for analyzing microbiome time-series data. To address this gap, we developed an open-source software package, MDITRE, which implements a new highly efficient method leveraging deep-learning technologies to derive human-interpretable rules that predict host status from longitudinal microbiome data. Using semi-synthetic and a large compendium of publicly available 16S rRNA amplicon and metagenomics sequencing datasets, we demonstrate that in almost all cases, MDITRE performs on par or better than popular uninterpretable machine learning methods, and orders-of-magnitude faster than the prior interpretable technique. MDITRE also provides a graphical user interface, which we show through use cases can readily derive biologically meaningful interpretations linking patterns of microbiome changes over time with host phenotypes.


title: Matchtigs: minimum plain text representation of kmer sets

abstract:
Kmer-based methods are widely used in bioinformatics, which raises the question of what is the smallest practically usable representation (i.e. plain text) of a set of kmers. We propose a polynomial algorithm computing a minimum such representation (which was previously posed as a potentially NP-hard open problem), as well as an efficient near-minimum greedy heuristic. When compressing genomes of large model organisms, read sets thereof or bacterial pangenomes, with only a minor runtime increase, we decrease the size of the representation by up to 60% over unitigs and 27% over previous work. Additionally, the number of strings is decreased by up to 97% over unitigs and 91% over previous work. Finally we show that a small representation has advantages in downstream applications, as it speeds up queries on the popular kmer indexing tool Bifrost by 1.66x over unitigs and 1.29x over previous work.

Availabilityhttps://github.com/algbio/matchtigs


title: Alterations in human gut microbiome composition and metabolism after exposure to glyphosate and Roundup and/or a spore-based formulation using the SHIME(R) technology

abstract: Despite extensive research into the toxicology of the herbicide glyphosate, there are still major unknowns regarding its effects on the human gut microbiome. As a step in addressing this knowledge gap, we describe for the first time the effects of glyphosate and a Roundup glyphosate-based herbicide on infant gut microbiota using SHIME technology, which mimics the entire gastrointestinal tract. SHIME(R) microbiota culture was undertaken in the presence of a concentration of 100 mg/L (corresponding to a dose of 1.6 mg/kg/day) glyphosate and the same glyphosate equivalent concentration of Roundup, which is in the range of the US chronic reference dose, and subjected to molecular profiling techniques to assess outcomes. Roundup and to a lesser extent glyphosate caused an increase in fermentation activity, resulting in acidification of the microbial environment. This was also reflected by an increase in lactate and acetate production concomitant to a decrease in the levels of propionate, valerate, caproate and butyrate. Ammonium production reflecting proteolytic activities was increased by Roundup exposure. Global metabolomics revealed large scale disturbances in metabolite profiles, including an increased abundance of long chain polyunsaturated fatty acids (n3 and n6). Although changes in bacterial composition measured by qPCR and 16S rRNA sequencing were less clear, our results suggested that lactobacilli had their growth stimulated as a result of microenvironment acidification. Co-treatment with the spore-based probiotic formulation MegaSporeBiotic reverted some of the changes in short-chain fatty acid levels. Altogether, our results suggest that glyphosate can exert effects on human gut microbiota at permitted regulatory levels of exposure, highlighting the need for epidemiological studies aimed at evaluating the effects of glyphosate herbicides on human gut microbiome function.

category: pharmacology and toxicology


title: DNA methylation in transposable elements disrupts the connection between three-dimensional chromatin organization and gene expression upon rice genome duplication.

abstract: Polyploidy serves as a major force in plant evolution and domestication of cultivated crops. However, the relationship and underlying mechanism between three-dimensional (3D) chromatin organization and gene expression upon rice genome duplication is largely unknown. Here we compared the 3D chromatin structures between diploid (2C) and autotetraploid (4C) rice by high-throughput chromosome conformation capture analysis, and found that 4C rice presents weakened intra-chromosomal interactions compared to its 2C progenitor. Moreover, we found that changes of 3D chromatin organizations including chromatin compartments, topologically associating domain (TAD) and loops uncouple from gene expression. Moreover, DNA methylations in the regulatory sequences of genes in compartment A/B switched regions and TAD boundaries are not related to their expressions. Importantly, in contrast to that there was no significant difference of methylation levels in TEs in promoters of differentially expressed genes (DEGs) and non-DEGs between 2C and 4C rice, we found that the hypermethylated transposable elements across genes in compartment A/B switched regions and TAD boundaries suppress the expression of these genes. We propose that the rice genome doubling might modulate TE methylation which results in the disconnection between the alteration of 3D chromatin structure and gene expression.

category: plant biology


title: Different armpits under my new nose: olfactory sex but not gender affects implicit measures of embodiment

abstract: Research has shown that conflicting multisensory signals may alter embodiment to the point of self-identifying with a foreign body, but the role of olfaction in this process has been overlooked. Here, we study in healthy participants how sex (male and female sweat odors) and gender (male and female cosmetic scents) olfactory stimuli contribute to embodiment. Participants saw from the perspective of a sex mismatching person in virtual reality and received synchronous visuo-tactile stimulation to elicit illusory embodiment of the seen body while smelling either sex- or gender-congruent stimuli. We assessed implicit (skin conductance responses to visual threats) and explicit (questionnaire) measures of embodiment. Stronger responses to threat were found when participants smelled the sex-congruent compared to the sex-incongruent odor, while no such differences were found for the cosmetic scents. According to the questionnaire, embodiment did not differ between conditions. Post-experimental assessment of the presented cues, suggest that while both sweat odors were considered generally male, cosmetic scents were not. The presented scents were generally not associated to the embodied body. Our results suggest that sex-related body odors influence implicit but not explicit aspects of embodiment and are in line with unique characteristics of olfaction in other aspects of cognition.


title: A brain atlas of synapse protein lifetime across the mouse lifespan.

abstract: Protein turnover is required for synapse maintenance and remodelling and may impact memory duration. We quantified the lifetime of postsynaptic protein PSD95 in individual excitatory synapses across the mouse brain and lifespan, generating the Protein Lifetime Synaptome Atlas. Excitatory synapses have a wide range of protein lifetimes that may extend from a few hours to several months, with distinct spatial distributions in dendrites, neuron types and brain regions. Short protein lifetime (SPL) synapses are enriched in developing animals and in regions controlling innate behaviors, whereas long protein lifetime (LPL) synapses accumulate during development, are enriched in the cortex and CA1 where memories are stored, and are preferentially preserved in old age. The protein lifetime synaptome architecture is disrupted in an autism model, with synapse protein lifetime increased throughout the brain. These findings add a further layer to synapse diversity in the brain and enrich prevailing concepts in behavior, development, ageing and brain repair.


title: The effects of locomotion on sensory-evoked haemodynamic responses in the cortex of awake mice

abstract: Investigating neurovascular coupling in awake rodents is becoming ever more popular due, in part, to our increasing knowledge of the profound impacts that anaesthesia can have upon brain physiology. Although awake imaging brings with it many advantages, we still do not fully understand how voluntary locomotion during imaging affects sensory-evoked haemodynamic responses. In this study we investigated how evoked haemodynamic responses can be affected by the amount and timing of locomotion. Using an awake imaging set up, we used 2D-Optical Imaging Spectroscopy (2D-OIS) to measure changes in cerebral haemodynamics within the sensory cortex of the brain during either 2s whisker stimulation or spontaneous (no whisker stimulation) experiments, whilst animals could walk on a spherical treadmill. We show that locomotion alters haemodynamic responses. The amount and timing of locomotion relative to whisker stimulation is important, and can significantly impact sensory-evoked haemodynamic responses. If locomotion occurred before or during whisker stimulation, the amplitude of the stimulus-evoked haemodynamic response was significantly altered. Therefore, monitoring of locomotion during awake imaging is necessary to ensure that conclusions based on comparisons of evoked haemodynamic responses (e.g., between control and disease groups) are not confounded by the effects of locomotion.


title: RFX6-mediated dysregulation defines human β cell dysfunction in early type 2 diabetes

abstract: A hallmark of type 2 diabetes (T2D), a major cause of world-wide morbidity and mortality, is dysfunction of insulin-producing pancreatic islet {beta} cells1-3. T2D genome-wide association studies (GWAS) have identified hundreds of signals, mostly in the non-coding genome and overlapping {beta} cell regulatory elements, but translating these into biological mechanisms has been challenging4-6. To identify early disease-driving events, we performed single cell spatial proteomics, sorted cell transcriptomics, and assessed islet physiology on pancreatic tissue from short-duration T2D and control donors. Here, through integrative analyses of these diverse modalities, we show that multiple gene regulatory modules are associated with early-stage T2D {beta} cell-intrinsic defects. One notable example is the transcription factor RFX6, which we show is a highly connected {beta} cell hub gene that is reduced in T2D and governs a gene regulatory network associated with insulin secretion defects and T2D GWAS variants. We validated the critical role of RFX6 in {beta} cells through direct perturbation in primary human islets followed by physiological and single nucleus multiome profiling, which showed reduced dynamic insulin secretion and large-scale changes in the {beta} cell transcriptome and chromatin accessibility landscape. Understanding the molecular mechanisms of complex, systemic diseases necessitates integration of signals from multiple molecules, cells, organs, and individuals and thus we anticipate this approach will be a useful template to identify and validate key regulatory networks and master hub genes for other diseases or traits with GWAS data.


title: Computational modelling and near-complete kinetochore tracking reveal how chromosome dynamics during cell division are co-ordinated in space and time

abstract: Mitotic chromosome segregation is a self-organising process that achieves high fidelity separation of 46 duplicated chromosomes into two daughter cells. Chromosomes must be captured by the microtubule-based spindle, aligned at the spindle equator where they undergo oscillatory motion (metaphase) and then pulled to opposite spindle poles (anaphase). These large and small-scale chromosome movements are driven by kinetochores, multi-protein machines, that link chromosomes to microtubules and generate directional forces. Through automated near-complete tracking of kinetochores at fine spatio-temporal resolution over long timescales, we produce a detailed atlas of kinetochore dynamics throughout metaphase and anaphase in human cells. We develop a hierarchical biophysical model of kinetochore dynamics and fit this model to 4D lattice light sheet experimental data using Bayesian inference. We demonstrate that location in the metaphase plate is the largest factor in the variation in kinetochore dynamics, exceeding the variation between cells, whilst within the spindle there is local spatio-temporal coordination between neighbouring kinetochores of directional switching events, kinetochore-fibre (K-fibre) polymerization/depolymerization state and the segregation of chromosomes. Thus, metaphase oscillations are robust to variation in the mechanical forces throughout the spindle, whilst the spindle environment couples kinetochore dynamics across the plate. Our methods provide a framework for detailed quantification of chromosome dynamics during mitosis in human cells.


title: Unraveling the roles of Mast4 in amelogenesis via regulating DLX3 and stem cell maintenance of mouse incisors

abstract: Asymmetric division of stem cells allows for maintenance of the cell population and differentiation for harmonious progress. Developing mouse incisors allows for examination of how the stem cell niche employs specific insights into essential phases. Microtubule-associated serine/threonine kinase family member 4 (Mast4) knockout (KO) mice showed abnormal incisor development with weak hardness as the apical bud was reduced and preameloblasts were shifted to the apical side, resulting in Amelogenesis Imperfecta. In addition, Mast4 KO incisors showed abnormal enamel maturation, and stem cell maintenance was inhibited as amelogenesis accelerated. Distal-Less Homeobox 3 (DLX3), known to be a critical factor Tricho-Dento-Osseous (TDO) syndrome, is considered to be responsible for Amelogenesis Imperfecta in humans. MAST4 directly binds to DLX3 and induces phosphorylation at three residues within the nuclear localization sites (NLS) that promote the nuclear translocation of DLX3. MAST4-mediated phosphorylation of DLX3 ultimately controls the transcription of DLX3 target genes, which are carbonic anhydrase and ion transporter genes involved in the pH regulation process during ameloblast maturation. Taken together, our data reveal a novel role of MAST4 as a critical regulator of ameloblast maturation, which controls DLX3 transcriptional activity.

category: developmental biology


title: Declining population sizes and loss of genetic diversity in commercial fishes: a simple method for a first diagnostic

abstract: Exploited fish species may have or are experiencing declines in population sizes coupled with a decrease in genetic diversity. This can lead to the loss of adaptive potential to face current and future environmental changes. However, little is known about this subject while research on it is urgently needed. Thus, this study aims to answer a simple, even naive question, given the complexity of the subject: Could we use a simple method to obtain information on the loss of genetic diversity in exploited fish species? We investigated the use of the levels of genetic diversity in the widely used genetic marker Cytochrome C Oxidase subunit I (COI) mitochondrial gene. Estimates of genetic diversity in COI were obtained for populations of seven fish species with different commercial importance from the East China Sea. These estimates were contrasted against a large dataset of fish species distributed worldwide (N=1426), a dataset of East-Asian fish species (N=118), two farmed species with expected low genetic diversity, and four long-term managed species from the Mediterranean Sea. We found that estimates of genetic diversity in COI match the expectations from theoretical predictions, known population declines, and fishing pressures. Thus, the answer to our question is affirmative and we conclude that estimates of genetic diversity in COI provide an effective first diagnostic of the conservation status of exploited fish species. This simple and cost-effective tool can help prioritize research, management, and conservation on species with suspected loss of genetic diversity potentially eroding their adaptive potential to global change.


title: Genomic signatures of desert adaptation at gene-rich regions in zebu cattle from the African drylands

abstract: Sudan, the largest country in Africa, acts as a corridor between North and sub-Saharan Africa along the river Niles. It comprises warm arid and semi-arid grazing lands, and it is home to the second-largest African population of indigenous livestock. Indigenous Sudanese cattle are mainly indicine/zebu (humped) type. They thrive in the harshest dryland environments characterised by high temperatures, long seasonal dry periods, nutritional shortages, and vector diseases challenges. We investigated genome diversity in six indigenous African zebu breeds sampled in Sudan (Aryashai, Baggara, Butana, Fulani, Gash, and Kenana). We adopted three genomic scan approaches to identify candidate selective sweeps regions (ZHp, FST, XP-EHH). We identified a set of gene-rich selective sweep regions shared across African and Asian zebu or unique to Sudanese zebu. In particular, African and Asian zebu candidate gene-rich regions are detected on chromosomes 2, 5 and 7. They include genes involved in immune response, body size and conformation, and stress response to heat. In addition, a 250 kb selective sweep on chromosome 16 was detected exclusively in five Sudanese zebu populations. This region spans seven genes, including PLCH2, PEX10, PRKCZ and SKI, which are involved in alternative adaptive metabolic strategies of insulin signalling, glucose homeostasis, and fat metabolism. Together, these genes may contribute to the zebu cattle resilience to heat, nutritional and water shortages. Our results highlight the putative importance of selection at gene-rich genome regions, which might be under a common regulatory genetic control, as an evolutionary mechanism for rapid adaptation to the complexity of environmental challenges.


title: Replication origins drive genetic and phenotypic variation in humans

abstract: DNA replication starts with the activation of the replicative helicases, polymerases and associated factors at thousands of origins per S-phase 1. Due to local torsional constraints generated during licensing 2 and the switch between polymerases of distinct fidelity and proofreading ability following firing 3,4, origin activation has the potential to induce DNA damage and mutagenesis. However, whether sites of replication initiation exhibit a specific mutational footprint has not yet been established. Here we demonstrate that mutagenesis is increased at early and highly efficient origins. The elevated mutation rate observed at these sites is caused by two distinct mutational processes consistent with formation of DNA breaks at the origin itself and local error-prone DNA synthesis in the immediate vicinity of the origin. We demonstrate that these replication-dependent mutational processes create the skew in base composition observed at human replication origins. Further, we show that mutagenesis associated with replication initiation exerts an influence on phenotypic diversity in human populations disproportionate to the origins genomic footprint: by increasing mutational loads at gene promoters and splice junctions the presence of an origin influences both gene expression and mRNA isoform usage. These findings have important implications for our understanding of the mutational processes that sculpt the human genome.


title: Interest of phenomic prediction as an alternative to genomic prediction in grapevine

abstract: Phenomic prediction has been defined as an alternative to genomic prediction by using spectra instead of molecular markers. A reflectance spectrum reflects the biochemical composition within a tissue, under genetic determinism. Thus, a relationship matrix built from spectra could potentially capture genetic signal. This new methodology has been successfully applied in several cereal species but little is known so far about its interest in perennial species. Besides, phenomic prediction has only been tested for a restricted set of traits, mainly related to yield or phenology. This study aims at applying phenomic prediction for the first time in grapevine, using spectra collected on two tissues and over two consecutive years, on two populations and for 15 traits. First, we characterized the genetic signal in spectra and under which condition it could be maximized, then phenomic predictive ability was compared to genomic predictive ability. We found that the co-inertia between spectra and genomic data was stable across tissues or years, but variable across populations, with co-inertia around 0.3 and 0.6 for diversity panel and half-diallel populations, respectively. Differences between populations were also observed for predictive ability of phenomic prediction, with an average of 0.27 for the diversity panel and 0.35 for the half-diallel. For both populations, there was a correlation across traits between predictive ability of genomic and phenomic prediction, with a slope around 1 and an intercept of -0.2, thus suggesting that phenomic prediction could be applied for any trait.


title: Role of immigrants and muzzle contacts in the uptake of a novel food by wild vervet monkeys

abstract: The entry into and uptake of information in social groups is critical for behavioural adaptation by long-lived species in rapidly changing environments. We exposed five groups of wild vervet monkeys to a novel food to investigate innovation of processing and consuming it. We observed whether dispersing males could introduce this innovation into groups and compare uptake between groups. We report that immigrant males innovated in two groups, and an infant innovated in one group. In two other groups, immigrant males imported the innovation from another group. Uptake of the novel food was fastest in groups where immigrant males ate first and younger individuals were most likely to acquire the novel food. We also investigated the role of muzzle contact behaviour in information seeking around the novel food. Muzzle contacts decreased in frequency over repeated exposures to the novel food, were targeted towards knowledgeable adults the most, and juveniles and naive individuals initiated the most. Knowledgeable adult males were targeted but rarely initiated muzzle contacts, whereas knowledgeable adult females were targeted and initiated them, emphasising an adult sex difference in seeking social information. We highlight the potential of immigrants as vectors of information, enabling rapid behavioural adaptation and population level culture.

category: animal behavior and cognition


title: Reconstructing mitochondrial genomes from ancient DNA through iterative mapping: an evaluation of software, parameters, and bait reference

abstract:
O_LIWithin evolutionary biology, mitochondrial genomes (mitogenomes) provide useful insights at both population and species level. Several approaches are available to assemble mitogenomes. However, most are not suitable for divergent, extinct species, due to the requirement of a reference mitogenome from a conspecific or close relative, and relatively high-quality DNA.
C_LIO_LIIterative mapping can overcome the lack of a close reference sequence, and has been applied to an array of extinct species. Despite its widespread use, the accuracy of the reconstructed assemblies are yet to be comprehensively assessed. Here, we investigated the influence of mapping software (BWA or MITObim), parameters, and bait reference phylogenetic distance on the accuracy of the reconstructed assembly using two simulated datasets: (i) spotted hyena and various mammalian bait references, and (ii) southern cassowary and various avian bait references. Specifically, we assessed the accuracy of results through pairwise distance (PWD) to the reference conspecific mitogenome, number of incorrectly inserted base pairs (bp), and total length of the reconstructed assembly.
C_LIO_LIWe found large discrepancies in the accuracy of reconstructed assemblies using different mapping software, parameters, and bait references. PWD to the reference conspecific mitogenome, which reflected the level of incorrect base calls, was consistently higher with BWA than MITObim. The same was observed for the number of incorrectly inserted bp. In contrast, the total sequence length was lower. Overall, the most accurate results were obtained with MITObim using mismatch values of 3 or 5, and the phylogenetically closest bait reference sequence. Accuracy could be further improved by combining results from multiple bait references.
C_LIO_LIWe present the first comprehensive investigation of how mapping software, parameters, and bait reference influence mitogenome reconstruction from ancient DNA through iterative mapping. Our study provides information on how mitogenomes are best reconstructed from divergent, short-read data. By obtaining the most accurate reconstruction possible, one can be more confident as to the reliability of downstream analyses, and the evolutionary inferences made from them.
C_LI


title: A new analytical pipeline reveals metatranscriptomic changes upon high-fat diet in a Down syndrome mouse model.

abstract: The existing methods designated for metatranscriptomic studies are still rare and being developed. In this paper we present a new analytical pipeline combining contig assembly, gene selection and functional annotation. This pipeline allowed us to reconstruct contigs with very high unique mappability (83%) and select sequences encoding putative bacterial genes reaching also a very high (66%), unique mappability of the NGS sequencing reads. Then, we have applied our pipeline to study faecal metatranscriptome of a Down syndrome (DS) mouse model, the Ts65Dn mice, in order to identify the differentially expressed transcripts. Recent studies have implicated dysbiosis of gut microbiota in several central nervous system (CNS) disorders, including DS. Given that DS individuals have an increased prevalence of obesity, we also studied the effects of a high-fat diet (HFD) on the transcriptomic changes of mice gut microbiomes, as the complex symbiotic relationship between the gut microbiome and its host is strongly influenced by diet and nutrition. Using our new pipeline we found that compared to wild type (WT), Ts65Dn mice showed an elevated expression levels of genes involved in hypoxanthine metabolism, which contributes to oxidative stress, and a down-regulated expression of genes involved in interactions with host epithelial cells and virulence. Microbiomes of mice fed HFD showed significantly higher expression levels of genes involved in membrane lipopolysaccharides / lipids biosynthesis, and decreased expression of osmoprotection and lysine fermentation genes, among others. We also found evidence that mice microbiota is capable of expressing genes encoding for neuromodulators, which may play a role in development of compulsive overeating and obesity. Our results show a DS-specific metatranscriptome profile and show that a high-fat diet affects the metabolism of mice gut microbiome by changing activity of genes involved in lipids, sugars, proteins and amino acids metabolism and cell membranes turnover. Our new analytical pipeline combining contig assembly, gene selection and functional annotation provides new insights into the metatranscriptomic studies.


title: ortho2align: a sensitive approach for searching for orthologues of novel lncRNAs

abstract:
BackgroundMany novel long noncoding RNAs have been discovered in recent years due to advances in high-throughput sequencing experiments. Finding orthologues of these novel lncRNAs might facilitate clarification of their functional role in living organisms. However, lncRNAs exhibit low sequence conservation, so specific methods for enhancing the signal-to-noise ratio were developed. Nevertheless, current methods such as transcriptomes comparison approaches or searches for conserved secondary structures are not applicable to novel lncRNAs dy design.

ResultsWe present ortho2align -- a versatile sensitive synteny-based lncRNA orthologue search tool with statistical assessment of sequence conservation. This tool allows control of the specificity of the search process and optional annotation of found orthologues. ortho2align shows similar performance in terms of sensitivity and resource usage as the state-of-the-art method for aligning orthologous lncRNAs but also enables scientists to predict unannotated orthologous sequences for lncRNAs in question. Using ortho2align, we predicted orthologues of three distinct classes of novel human lncRNAs in six Vertebrata species to estimate their degree of conservation.

ConclusionsBeing designed for the discovery of unannotated orthologues of novel lncRNAs in distant species, ortho2align is a versatile tool applicable to any genomic regions, especially weakly conserved ones. A small amount of input files makes ortho2align easy to use in orthology studies as a single tool or in bundle with other steps that researchers will consider sensible.


title: AliSim: A Fast and Versatile Phylogenetic Sequence Simulator For the Genomic Era

abstract: Sequence simulators play an important role in phylogenetics. Simulated data has many applications, such as evaluating the performance of different methods, hypothesis testing with parametric bootstraps, and, more recently, generating data for training machine-learning applications. Many sequence simulation programs exist, but the most feature-rich programs tend to be rather slow, and the fastest programs tend to be feature-poor. Here, we introduce AliSim, a new tool that can efficiently simulate biologically realistic alignments under a large range of complex evolutionary models. To achieve high performance across a wide range of simulation conditions, AliSim implements an adaptive approach that combines the commonly-used rate matrix and probability matrix approach. AliSim takes 1.3 hours and 1.3 GB RAM to simulate alignments with one million sequences or sites, while popular software Seq-Gen, Dawg, and INDELible require two to five hours and 50 to 500 GB of RAM. We provide AliSim as an extension of the IQ-TREE software version 2.2, freely available at www.iqtree.org, and a comprehensive user tutorial at http://www.iqtree.org/doc/AliSim.


title: seGMM: a new tool to infer sex from massively parallel sequencing data

abstract: Inspecting concordance between self-reported sex and genotype-inferred sex from genomic data is a significant quality control measure in clinical genetic testing. Numerous tools have been developed to infer sex for genotyping array, whole-exome sequencing, and whole-genome sequencing data. However, improvements in sex inference from targeted gene sequencing panels are warranted. Here, we propose a new tool, seGMM, which applies unsupervised clustering (Gaussian Mixture Model) to determine the gender of a sample from the called genotype data integrated aligned reads. seGMM consistently demonstrated > 99% sex inference accuracy in publicly available (1000 Genomes) and our in-house panel dataset, which achieved obviously better sex classification than existing popular tools. Compared to including features only in the X chromosome, our results show that adding additional features from Y chromosomes (e.g. reads mapped to the Y chromosome) can increase sex classification accuracy. Notably, for WES and WGS data, seGMM also has an extremely high degree of accuracy. Finally, we proved the ability of seGMM to infer sex in single patient or trio samples by combining with reference data and pinpointing potential sex chromosome abnormality samples. In general, seGMM provides a reproducible framework to infer sex from massively parallel sequencing data and has great promise in clinical genetics.


title: Bioinformatics analysis of differentially expressed genes in non alcoholic fatty liver disease using next generation sequencing data

abstract: Non alcoholic fatty liver disease (NAFLD) is the most common metabolic disease in humans, affecting the majority of individuals. In the current investigation, we aim to identify potential key genes linked with NAFLD through bioinformatics analyses of next generation sequencing (NGS) dataset. NGS dataset of GSE135251 from the Gene Expression Omnibus (GEO) database were retrieved. Differentially expressed genes (DEGs) were obtained by DESeq2 package. g:Profiler database was further used to identify the potential gene ontology (GO) and REACTOME pathways. Protein-protein interaction (PPI) network was constructed using the Hippie interactome database. miRNet and NetworkAnalyst databases were used to establish a miRNA-hub gene regulatory network and TF-hub gene regulatory network for the hub genes. Hub genes were verified based on receiver operating characteristic curve (ROC) analysis. Totally, 951 DEGs were identified including 476 up regulated genes and 475 down regulated genes screened in NAFLD and normal control. GO showed that DEGs were significantly enhanced for signaling and regulation of biological quality. REACTOME pathway analysis revealed that DEGs were enriched in signaling by interleukins and extracellular matrix organization. ESR2, JUN, PTN, PTGER3, CEBPB, IKBKG, HSPA8, SFN, CDKN1A and E2F1 were indicated as hub genes from PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network. Furthermore, ROC analysis revealed that ESR2, JUN, PTN, PTGER3, CEBPB, IKBKG, HSPA8, SFN, CDKN1A and E2F1 might serve as diagnostic biomarkers in NAFLD. The current investigation provided insights into the molecular mechanism of NAFLD that might be useful in further investigations.


title: Changes in blood cell deformability in Chorea-Acanthocytosis and effects of treatment with dasatinib or lithium

abstract: Misshaped red blood cells (RBCs), characterized by thorn-like protrusions known as acanthocytes, are a key diagnostic feature in Chorea-Acanthocytosis (ChAc), a rare neurodegenerative disorder. The altered RBC morphology likely influences their biomechanical properties which are crucial for the cells to pass the microvasculature. Here, we investigated blood cell deformability of 5 ChAc patients compared to healthy controls during up to one-year individual off-label treatment with the tyrosine kinases inhibitor dasatinib or several weeks with lithium. Measurements with two microfluidic techniques allowed us to assess RBC deformability under different shear stresses. Furthermore, we characterized leukocyte stiffness at high shear stresses. The results show that blood cell deformability - including both RBCs and leukocytes - in general is altered in ChAc patients compared to healthy donors. Therefore, this study shows for the first time an impairment of leukocyte properties in ChAc. During treatment with dasatinib or lithium, we observe alterations in RBC deformability and a stiffness increase for leukocytes. The hematological phenotype of ChAc patients hints at a reorganization of the cytoskeleton in blood cells which partly explains the altered mechanical properties observed here. These findings highlight the need for a systematic assessment of the contribution of impaired blood cell mechanics to the clinical manifestation of ChAc.


title: Supramolecular assembly of chloroplast NAD(P)H dehydrogenase-like complex with photosystem I from Arabidopsis thaliana

abstract: Cyclic electron transport/flow (CET/CEF) in chloroplasts is a regulatory mechanism crucial for optimization of plant photosynthetic efficiency. CET is catalyzed by a membrane-embedded NAD(P)H dehydrogenase-like (NDH) complex containing at least 29 protein subunits and associating with photosystem I (PSI) to form the NDH-PSI supercomplex. Here we report the 3.9 [A] resolution structure of Arabidopsis thaliana NDH-PSI (AtNDH-PSI) supercomplex. We have constructed structural models for 26 AtNDH subunits, among which 11 subunits are unique to chloroplast and stabilize the core part of NDH complex. In the supercomplex, one NDH can bind up to two PSI-LHCI complexes at both sides of its membrane arm. Two minor LHCIs, Lhca5 and Lhca6, each present in one PSI-LHCI, interact with NDH and contribute to the supercomplex formation and stabilization. Our results showed structural details of the supercomplex assembly and provide molecular basis for further investigation of the regulatory mechanism of CEF in plants.


title: Aberrant Fucosylation of Saliva Glycoprotein Defining Lung Adenocarcinomas Malignancy

abstract:
Aberrant glycosylation is a hallmark of cancer found during tumorigenesis and tumor progression. Lung cancer induced by oncogene mutations has been detected in the patients saliva, and saliva glycosylation has been altered. Saliva contains highly glycosylated glycoproteins, the characteristics of which may be related to various diseases. Therefore, elucidating cancer-specific glycosylation in the saliva of healthy, non-cancer, and cancer patients can reveal whether tumor glycosylation has unique characteristics for early diagnosis. In this work, we used a solid-phase chemoenzymatic method to study the glycosylation of saliva glycoproteins in clinical specimens. The results showed that the 1,6-core fucosylation of glycoproteins in cancer patients was significant increased. The fucosylation of 1,2 or 1,3 is also increased in cancer patients. We further analyzed the expression of fucosyltransferases responsible for 1,2, 1,3, 1,6 fucosylation. The fucosylation of the saliva of cancer patients is drastically different from that of non-cancer or health controls. These results indicate that the glycoform of saliva fucosylation distinguishes lung cancer from other diseases, and this feature has the potential to diagnose lung adenocarcinoma.

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O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=169 SRC="FIGDIR/small/472888v1_ufig1.gif" ALT="Figure 1">
View larger version (31K):
org.highwire.dtl.DTLVardef@139bcc2org.highwire.dtl.DTLVardef@19777a5org.highwire.dtl.DTLVardef@1302be6org.highwire.dtl.DTLVardef@19210d4_HPS_FORMAT_FIGEXP  M_FIG Fucosylation biosynthesis in lung cancer. Saliva fucosylation contains 1,2-linked, 1,3-linked, 1,6-linked fucosylation in lung cancer.

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category: systems biology


title: Systemic and intra-amygdala administrations of midazolam reverse anxiety-like behavior induced by cohabiting with a cagemate in chronic pain condition

abstract: The affective component of pain may be shared among conspecifics through emotional contagion, a form of empathic expression. In this sense, reverberation of negative emotions could generate distress behavioral responses, such as pathological anxiety. Evidences reported that amygdala and its benzodiazepine receptors are involved in perception of pain in others. However, relatively little is known about the neural processes underlying emotional contagion induced by pain observation. In the present study, we investigated the effects of midazolam, an allosteric GABAergic receptor agonist, in anxiety-like behaviors induced by cohabitation with cagemate submitted to sciatic nerve constriction. For this purpose, we administrated systemic (0.5, 1.0 and 2.0 mg/kg) and intra-amygdala midazolam injections (3.0 and 30.0 nmol) in observer cagemates before elevated plus-maze (EPM) evaluation. We found that mice subjected to nerve constriction and their observer cagemates increased anxiety-like behavior in the EPM. Further, systemically (1.0 and 2.0 mg/kg) and intra-amygdala administration of midazolam (3.0 and 30 nmol) reverse this anxiogenic effect. Collectively, these results suggest that social interaction with a cagemate under chronic pain produces anxiety-like responses that could be blocked through midazolam application.


title: Prolonged nicotine exposure reduces aversion to the drug in mice by altering nicotinic transmission in the interpeduncular nucleus.

abstract: Nicotine intake is likely to result from a balance between the rewarding and aversive properties of the drug, yet the individual differences in neural activity that control aversion to nicotine and their adaptation during the addiction process remain largely unknown. Using a two-bottle choice experiment, we observed a high heterogeneity in nicotine-drinking profiles in isogenic adult male mice, with about half of the mice persisting in consuming nicotine even at high concentrations, whereas the other half stopped consuming. We found that nicotine intake was negatively correlated with nicotine-evoked currents in the interpeduncular nucleus (IPN), and that prolonged exposure to nicotine, by weakening this response, decreased aversion to the drug, and hence boosted consumption. Lastly, using knock-out mice and local gene re-expression, we identified {beta}4-containing nicotinic acetylcholine receptors of IPN neurons as the molecular and cellular correlates of nicotine aversion. Collectively, our results identify the IPN as a substrate of individual variabilities and adaptations in nicotine consumption.


title: Categorical working memory codes in human visual cortex

abstract: Working memory contents are represented in neural activity patterns across multiple regions of the cortical hierarchy. It has remained unclear to which degree this reflects a specialization for different levels of abstraction. Here, we demonstrate that for color stimuli categorical codes are already present at the level of extrastriate visual cortex (V4 and VO1). Interestingly, this categorical coding was observed during working memory, but not during perception.


title: Real-time imaging of Arc/Arg3.1 transcription ex vivo reveals input-specific immediate early gene dynamics

abstract:
The ability of neurons to process and store salient environmental features underlies information processing in the brain. Long-term information storage requires synaptic plasticity and regulation of gene expression. While distinct patterns of activity have been linked to synaptic plasticity, their impact on immediate early gene (IEG) expression remains poorly understood. The activity regulated cytoskeleton associated (Arc) gene has received wide attention as an IEG implicated in synaptic plasticity and memory. Yet, to date, the transcriptional dynamics of Arc in response to compartment and input-specific activity is unclear. By developing a knock-in mouse to fluorescently tag Arc alleles, we studied real-time transcription dynamics after stimulation of dentate granule cells (GCs) in acute hippocampal slices. To our surprise, we found that Arc transcription displayed distinct temporal kinetics depending on the activation of excitatory inputs that convey functionally distinct information, i.e. medial and lateral perforant paths (MPP and LPP, respectively). Moreover, the transcriptional dynamics of Arc after synaptic stimulation was similar to direct activation of GCs, although the contribution of ionotropic glutamate receptors, L-type voltage gated calcium channel, and the endoplasmic reticulum (ER) differed. Specifically, we observed an ER-mediated synapse-to-nucleus signal that supported elevations in nuclear calcium, and rapid induction of Arc transcription following MPP stimulation. However, activation of LPP inputs displayed lower nuclear calcium rise, which could underlie the delayed transcriptional onset of Arc. Our findings highlight how input-specific activity distinctly impacts transcriptional dynamics of an IEG linked to learning and memory.

Significance statementEnvironmental experiences trigger neuronal activity that elicits gene expression in the nervous system. Rapid induction of specific genes known as immediate early genes (IEGs) supports activity-dependent changes of neuronal circuits to ultimately influence animal behavior. However, the cellular and molecular mechanisms controlling how distinct forms of neuronal activity modulate IEG expression remains unclear. The activity regulated cytoskeleton associated (Arc) gene is a critical IEG linked to memory. By imaging Arc transcription in real-time after neuronal activity, we identified how different receptors and signaling pathways influence transcriptional induction and dynamics of an IEG. Our findings provide insights into how information received by distinct synaptic inputs could be encoded by modulating IEG dynamics.