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Biology subjects

Auger, S.

Publications and source records attributed to Auger, S..

5 recordsLinked to original sources

Cosmopolitan gut bacteriophages expand the phenotype of health-related bacteria

Metagenomics has vastly expanded our knowledge of the human gut virome, yet the focus on dominant taxa has missed low-abundant but highly prevalent bacteriophages. Here, high-sensitivity taxonomic profiling of 53,976 samples from 42 countries, including non-industrialised populations and ancient DNA from five archaeological sites, reveals that only 0.3% of 64,238 phage genera are cosmopolitan, occurring in >20% of all subjects and on six continents. The most prevalent of these is Mushuvirus, with two distinct species detected in 60% of individuals, previously missed due to artefacts in reference genomes and their consistently low relative abundance (<0.8%). Population genomics shows that while one species is globally ubiquitous, the other predominates in individuals with West Eurasian ancestry. Together with 12 additional novel genera, we propose to classify these viruses into a new family Mushuviridae, found in [~]89% of studied humans. These transposable phages integrate into diverse hosts from two taxonomic orders of short-chain fatty acid-producing bacteria. Multi-omics experiments with Faecalibacterium demonstrate that hosts produce and secrete Mushuvirus-encoded receptor-binding proteins, which are actively diversified in lysogenic hosts. Together, these findings illuminate a globally distributed, active phage lineage that has persisted for millennia and continues to reshape the functional repertoire of bacteria central to human gut health.

microbiology↗

NeighborFinder: an R package inferring local microbial network around a species of interest

1MotivationUnderstanding interactions from microbiome data is a central aspect in microbial ecology, as it provides insights into ecosystem stability, disease mechanisms, and can be used to design synthetic communities. Current network inference tools reconstruct global networks from co-abundance data, which means they capture the overall correlation structure for the entire set of taxa considered. These approaches are computationally intensive and suboptimal when the focus is on the local neighborhood of specific taxa of interest. ResultsWe introduce NeighborFinder, a local network inference method that enables the targeted discovery of direct neighbors around a species of interest. Using cross-validated multiple linear regression with[l] 1 penalty and microbiome-specific filters, our approach infers interpretable species-centered interactions, with F1 score [&ge;] 0.95 on simulated cohorts ranging from 250 to 1000 samples. This method is well-suited for large metagenomic datasets and is particularly valuable for exploratory studies where the targeted hypotheses outweigh the need for global community structure. The approach complements existing methods by being a biologically intuitive and computationally efficient. Availability and ImplementationThe R package is freely available on GitHub: https://github.com/metagenopolis/NeighborFinder. The data and source code used to calculate performances and produce the use case example in this paper can be found respectively at: https://doi.org/10.57745/UPITJ0 and https://doi.org/10.57745/HJLWW4. Supplementary informationSupplementary data are available

systems biology↗

Improved synthesis and application of an alkyne-functionalized isoprenoid analogue to study the prenylomes of motor neurons, astrocytes and their stem cell progenitors

Protein prenylation is one example of a broad class of post-translational modifications where proteins are covalently linked to various hydrophobic moieties. To globally identify and monitor levels of all prenylated proteins in a cell simultaneously, our laboratory and others have developed chemical proteomic approaches that rely on the metabolic incorporation of isoprenoid analogues bearing bio-orthogonal functionality followed by enrichment and subsequent quantitative proteomic analysis. Here, several improvements in the synthesis of the alkyne-containing isoprenoid analogue C15AlkOPP are reported to improve synthetic efficiency. Next, metabolic labeling with C15AlkOPP was optimized to obtain useful levels of metabolic incorporation of the probe in several types of primary cells. Those conditions were then used to study the prenylomes of motor neurons (ES-MNs), astrocytes (ES-As), and their embryonic stem cell progenitors (ESCs), which allowed for the identification of 54 prenylated proteins from ESCs, 50 from ES-MNs and 84 from ES-As, representing all types of prenylation. Bioinformatic analysis revealed specific enriched pathways, including nervous system development, chemokine signaling, Rho GTPase signaling, and adhesion. Hierarchical clustering showed that most enriched pathways in all three cell types are related to GTPase activity and vesicular transport. In contrast, STRING analysis showed significant interactions in two populations that appear to be cell type dependent. The data provided herein demonstrates that robust incorporation of C15AlkOPP can be obtained in ES-MNs and related primary cells purified via magnetic-activated cell sorting allowing the identification and quantification of numerous prenylated proteins. These results suggest that metabolic labeling with C15AlkOPP should be an effective approach for investigating the role of prenylated proteins in primary cells in both normal cells and disease pathologies, including ALS. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=96 SRC="FIGDIR/small/583211v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@193cfe1org.highwire.dtl.DTLVardef@134edccorg.highwire.dtl.DTLVardef@1e81deforg.highwire.dtl.DTLVardef@56406_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

C-section and systemic inflammation synergize to disrupt the neonatal gut microbiota and brain development in a model of prematurity

Infants born very preterm (below 28 weeks of gestation) are at high risk of developing neurodevelopmental disorders, such as intellectual deficiency, autism spectrum disorders, and attention deficit. Preterm birth often occurs in the context of perinatal systemic inflammation due to chorioamnionitis and postnatal sepsis (Dammann, O. and Leviton, A., Intermittent or sustained systemic inflammation and the preterm brain. Pediatr Res, 2014. 75(3): p. 376-80). In addition, C-section is often performed for very preterm neonates to avoid hypoxia during a vaginal delivery (Luca, A.,et al., Birth trauma in preterm spontaneous vaginal and cesarean section deliveries: A 10-years retrospective study. PloS one,2022, 17(10), e0275726.) We have developed and characterized a mouse model based on intraperitoneal injections of IL-1{beta} between postnatal days one and five to reproduce perinatal systemic inflammation (Favrais, G.,et al., Systemic inflammation disrupts the developmental program of white matter. Ann Neurol,2011. 70(4): p. 550-65). This model replicates several neuropathological, brain imaging, and behavioral deficits observed in preterm infants. We hypothesized that C-sections could synergize with systemic inflammation to induce more severe brain abnormalities. We observed that C-sections significantly exacerbated the deleterious effects of IL-1{beta} on reduced gut microbial diversity, increased levels of circulating peptidoglycans, abnormal microglia/macrophage reactivity, impaired myelination, and reduced functional connectivity in the brain relative to vaginal delivery plus intraperitoneal saline. These data demonstrate the deleterious synergistic effects of C-section and neonatal systemic inflammation on brain maldevelopment and malfunction, two conditions frequently observed in very preterm infants, who are at high risk of developing neurodevelopmental disorders. Significance StatementIn a well-established mouse model of the encephalopathy of prematurity, we observed that C-section exacerbates the deleterious effects of neonatal systemic inflammation (intraperitoneal injections of IL-1{beta} between postnatal days one and five) on reduced gut microbial diversity, increased levels of circulating peptidoglycans, abnormal microglia/macrophage reactivity, impaired myelination, and reduced brain functional connectivity. These data demonstrate the deleterious synergistic effects of C-section and neonatal systemic inflammation, two conditions frequently observed in very preterm infants, who are at high risk of developing neurodevelopmental disorders.

neuroscience↗

Gene co-expression network analysis of the human gut commensal bacterium Faecalibacterium prausnitzii based on WGCNA in R-Shiny

Faecalibacterium prausnitzii is abundant in the healthy human intestinal microbiota, and the absence or scarcity of this bacterium has been linked with inflammatory diseases and metabolic disorders. F. prausnitzii thus shows promise as a next-generation probiotic for use in restoring the balance of the gut microbial flora and, due to its strong anti-inflammatory properties, for the treatment of certain pathological conditions. However, very little information is available about gene function and regulation in this species. Here, we utilized a systems biology approach - weighted gene co-expression network analysis (WGCNA) - to analyze gene expression in three publicly available RNAseq datasets from F. prausnitzii strain A2-165, all obtained in different laboratory conditions. The co-expression network was then subdivided into 24 co-expression gene modules. A subsequent enrichment analysis revealed that these modules are associated with different kinds of biological processes, such as arginine, histidine, cobalamin, or fatty acid metabolism as well as bacteriophage function, molecular chaperones, stress response, or SOS response. Some genes appeared to be associated with mechanisms of protection against oxidative stress and could be essential for F. prausnitziis adaptation and survival under anaerobic laboratory conditions. Hub and bottleneck genes were identified by analyses of intramodular connectivity and betweenness, respectively; this highlighted the high connectivity of genes located on mobile genetic elements, which could promote the genetic evolution of F. prausnitzii within its ecological niche. This study provides the first exploration of the complex regulatory networks in F. prausnitzii, and all of the "omics" data are available online for exploration through a graphical interface at https://feaprau.omics.ovh/.

microbiology↗