Biology subjects

Marin, J.

Publications and source records attributed to Marin, J..

11 recordsLinked to original sources

bioRxiv2025

Evidence for Neolithic acquisition of the high pathogenic island by Escherichia coli followed by recent selection

Many genetic elements involved in virulence and pathogenicity have been identified in commensal bacteria that are also opportunistic pathogens, but how these elements evolve is less well known. Understanding the evolutionary history of virulence elements requires genomes sampled in commensalism in healthy hosts, as genomes from bacterial infections are biased towards higher pathogenicity. Here, using a rare collection of human commensal Escherichia coli sampled in France from 1980 to 2020, we inferred the evolutionary history of the High Pathogenicity Island (HPI), a key virulence factor of E. coli with an uncertain evolutionary origin. The most likely scenario implied a horizontal transfer of the HPI from Yersinia pestis/pseudotuberculosis to the Enterobacterales, including E. coli, [~]4,700 years ago, coinciding with a period of increased population densities and human-animal interactions. The element subsequently spread in E. coli, with signs of positive epistasis with phylogroups B2 and F, and was positively selected in the last 100 years. Our work sheds light on the history and mode of evolution of virulence in an important opportunistic pathogen. It suggests the Neolithic period may have favored not only the emergence of zoonotic pathogens but also gene transfer between bacterial species, enriching the gene repertoire of major pathogens with potentially important implications on public health nowadays. Significance statement"Pathogenicity islands" are groups of genes that can be gained and lost on the chromosome of bacterial species and make them more pathogenic and virulent, but their evolutionary origin is unknown. We studied the origin and evolution of the High Pathogenicity Island of the major opportunistic pathogen Escherichia coli using molecular dating and phylogenetic analyses on very large genomic databases. We found that this island likely transferred from Yersinia pestis/pseudotuberculosis to E. coli 4,000 years ago, a period of increased population densities and intensified human-animal interactions, and was positively selected in the last 100 years. Thus, the origin of virulence can trace back to exchanges of mobile genetic elements that may be favored by particular circumstances in human history and have important consequences on human health nowadays.

evolutionary biology↗

bioRxiv2024

Genomic evidence of Escherichia coli gut population diversity translocation in leukemia patients

Escherichia coli, a commensal species of the human gut, is an opportunistic pathogen which can reach extra-intestinal compartments, including the bloodstream and the bladder, among others. In non-immunosuppressed patients, purifying or neutral evolution of E. coli populations has been reported in the gut. Conversely, it has been suggested that when migrating to extra-intestinal compartments, E. coli genomes undergo diversifying selection as supported by strong evidence for adaptation. The level of genomic polymorphism and the size of the populations translocating from gut to extra-intestinal compartments is largely unknown. To gain insights in the pathophysiology of these translocations, we investigated the level of polymorphism and the evolutionary forces acting on the genomes of 77 E. coli isolated from various compartments in three immunosuppressed patients. Each patient had a unique strain which was a mutator in one case. In all instances, we observed that translocation encompasses the majority of the genomic diversity present in the gut. The same signature of selection, whether purifying or diversifying, and as anticipated, neutral for mutator isolates, was observed in both the gut and bloodstream. Additionally, we found a limited number of non-specific mutations among compartments for non-mutator isolates. In all cases, urine isolates were dominated by neutral selection. These findings indicate that substantial proportions of populations are undergoing translocation and that they present a complex compartment-specific pattern of selection at the patient level. ImportanceIt has been suggested that intra and extra-intestinal compartments differentially constrain the evolution of E. coli strains. Whether host particular conditions, such as immunosuppression, could affect the strain evolutionary trajectories remain understudied. We found that, in immunosuppressed patients, large fractions of E. coli gut populations are translocating with variable modifications of the signature of selection for commensal and pathogenic isolates according to the compartment and/or the patient. Such multiple site sampling should be performed in large cohorts of patients to get a better understanding of E. coli extra-intestinal diseases.

microbiology↗

bioRxiv2024

Escherichia coli extra-intestinal population translocation in leukemia patients

Escherichia coli, a commensal species of the human gut, is an opportunistic pathogen which can reach extra-intestinal compartments, including the bloodstream and the bladder, among others. In non-immunosuppressed patients, purifying or neutral evolution of E. coli populations has been reported in the gut. Conversely, it has been suggested that when migrating to extra-intestinal compartments, E. coli genomes undergo diversifying selection as supported by strong evidence for adaptation. The level of genomic polymorphism and the size of the populations translocating from the gut to extra-intestinal compartments is largely unknown. To gain insights in the pathophysiology of these translocations, we investigated the level of polymorphism and the evolutionary forces acting on the genomes of 77 E. coli isolated from various compartments in three immunosuppressed patients. We detected a unique strain for each patient across the blood, the urine and the gut. In one case, all isolates recovered were mutators i.e. isolates with a very high mutation rate. In all instances, we observed that translocation encompasses the majority of the genomic diversity present in the gut. The same signature of selection, whether purifying or diversifying, and as anticipated, neutral for mutator isolates, was observed in both the gut and bloodstream. Additionally, we found a limited number of non-specific mutations among compartments for non-mutator isolates. In all cases, urine isolates were dominated by neutral selection. These findings indicate that substantial proportions of populations are undergoing translocation and that they present a complex compartment-specific pattern of selection at the patient level. ImportanceIt has been suggested that intra and extra-intestinal compartments differentially constrain the evolution of E. coli strains. Whether host particular conditions, such as immunosuppression, could affect the strain evolutionary trajectories remain understudied. We found that, in immunosuppressed patients, large fractions of E. coli gut populations are translocating with variable modifications of the signature of selection for commensal and pathogenic isolates according to the compartment and/or the patient. Such multiple site sampling should be performed in large cohorts of patients to get a better understanding of E. coli extra-intestinal diseases.

microbiology↗

bioRxiv2023

The bacterial genetic determinants of Escherichia coli capacity to cause bloodstream infections in humans

Escherichia coli is both a highly prevalent commensal and a major opportunistic pathogen causing bloodstream infections (BSI). A systematic analysis characterizing the genomic determinants of extra-intestinal pathogenic vs. commensal isolates in human populations, which could inform mechanisms of pathogenesis, diagnostics, prevention and treatment is still lacking. We used a collection of 1282 BSI and commensal E. coli isolates collected in France over a 17-year period (2000-2017) and we compared their pangenomes, genetic backgrounds (phylogroups, STs, O groups), presence of virulence-associated genes (VAGs) and antimicrobial resistance genes, finding significant differences in all comparisons between commensal and BSI isolates. A machine learning linear model trained on all the genetic variants derived from the pangenome and controlling for population structure reveals similar differences in VAGs, discovers new variants associated with pathogenicity (capacity to cause BSI), and accurately classifies BSI vs. commensal strains. Pathogenicity is a highly heritable trait, with up to 69% of the variance explained by bacterial genetic variants. Lastly, complementing our commensal collection with an older collection from 1980, we predict that pathogenicity increased steadily from 23% in 1980 to 46% in 2010. Together our findings imply that E. coli exhibit substantial genetic variation contributing to the transition between commensalism and pathogenicity and that this species evolved towards higher pathogenicity.

microbiology↗

bioRxiv2022

Performances of bioinformatics tools for the analysis of sequencing data of Mycobacterium tuberculosis complex strains

Whole genome sequencing of Mycobacterium tuberculosis complex (MTBC) strains is a new and rapidly growing tool to obtain results regarding resistance, virulence factors and phylogeny of the strains. Bioinformatics tools presented as user-friendly and easy to use are available online. The objective of this work was to evaluate the performances of two bioinformatics tools, easily accessible on the internet, for the analysis of sequencing data of MTBC strains. Two hundred and twenty-seven MTBC strains isolated at the laboratory of the Avicenne Hospital between 2015 and 2021 were sequenced using Illumina(R)(USA) MiSeq technology. An analysis of the sequencing data was performed using the two tools Mykrobe and PhyResSE. Sequencing quality, resistance or susceptibility status and phylogeny were investigated for each strain. Genotypic resistance results were compared to the results obtained by phenotypic drug susceptibility testing performed in the hospitals routine laboratory. Using the PhyResSE tool we found an average coverage of 98% against the reference strain H37Rv and an average depth of 119X. No information on sequencing quality was obtained with the Mykrobe tool. The concordance of each tool with the phenotypic method for determining susceptibility to first-line anti-tuberculosis drugs was 95%. Mykrobe and PhyResSE tools identified resistance to second-line anti-tuberculosis drugs in 5.3% and 5.7% of cases respectively. The sensitivity and specificity of each tool compared to the phenotypic method was respectively 70% and 98% for Mykrobe and 76% and 97% for PhyResSE. Finally, the two tools showed 99.5% agreement in lineage determination. The Mykrobe and PhyResSE bioinformatics tools were easy to use, fast and efficient. The Mykrobe tool had the advantage of being offline and its interface was more user-friendly. The use of these platforms depends on their accessibility and updating. However, their use is accessible to people not trained in bioinformatics and would allow a complementary approach to phenotypic methods for the study of MTBC strains.

bioinformatics↗

bioRxiv2021

Host Variation in Interferon, MHC Class I, Glycosylation, and Viral Transcription Genes Predict HIV Persistence

ObjectivePrior genomewide association studies have identified variation in MHC Class I alleles and CCR5{Delta}32 as genetic predictors of viral control, especially in "elite" controllers, individuals who remain virally suppressed in the absence of therapy. DesignCross-sectional genomewide association study. MethodsWe analyzed custom whole exome sequencing and direct HLA typing from 202 ART-suppressed HIV+ non-controllers in relation to four measures of the peripheral CD4+ T cell reservoir: HIV intact DNA, total (t)DNA, unspliced (us)RNA, and RNA/DNA. Linear mixed models were adjusted for potential covariates including age, sex, nadir CD4+ T cell count, pre-ART HIV RNA, timing of ART initiation, and duration of ART suppression. ResultsPreviously reported "protective" host genetic mutations related to viral setpoint (e.g., among elite controllers) were found to predict smaller HIV reservoir size. The HLA "protective" B*57:01 was associated with significantly lower HIV usRNA (q=3.3x10-3), and among the largest subgroup, European ancestry individuals, the CCR5{Delta}32 deletion was associated with smaller HIV tDNA (p=4.3x10-3) and usRNA (p=8.7x10-3). In addition, genomewide analysis identified several SNPs in MX1 (an interferon stimulated gene) that were significantly associated with HIV tDNA (q=0.02), and the direction of these associations paralleled MX1 gene eQTL expression. ConclusionsWe observed a significant association between previously reported "protective" MHC class I alleles and CCR5{Delta}32 with the HIV reservoir size in non-controllers. We also found a novel association between MX1 and HIV total DNA (in addition to other interferon signaling relevant genes, PPP1CB, DDX3X). These findings warrant further investigation in future validation studies.

genomics↗

bioRxiv2021

The population genomics of increased virulence and antibiotic resistance in human commensal Escherichia coli over 30 years in France

Escherichia coli is a commensal species of the lower intestine, but also a major pathogen causing intestinal and extra-intestinal infections, increasingly prevalent and resistant to antibiotics. Most studies on genomic evolution of E. coli used isolates from infections. Here instead, we whole-genome sequenced a collection of 403 commensal E. coli isolated from fecal samples of healthy adult volunteers in France (1980-2010). These isolates were distributed mainly in phylogroups A and B2 (30% each) and belonged to 152 sequence types (STs), the five most frequent being ST10 (phylogroup A) (16.3%), ST73 and ST95 (phylogroup B2) (6.3 and 5.0%, respectively), ST69 (phylogroup D) (4.2%) and ST59 (phylogroup F) (3.9%), and 224 O:H serotypes. ST and serotype diversity increased over time. The O1, O2, O6 and O25-groups used in bioconjugate O-antigen vaccine against extra-intestinal infections were found in 23% of the strains of our collection. The increase in frequency of virulence-associated genes and antibiotic resistances was driven by two evolutionary mechanisms. Evolution of virulence gene frequency was driven by both clonal expansion of STs with more virulence genes ("ST-driven") and increases in gene frequency within STs independently of changes in ST frequencies ("gene-driven"). In contrast, the evolution of resistance was dominated by increases in frequency within STs ("gene-driven"). This study provides a unique picture of the phylogenomic evolution of E. coli in its human commensal habitat over 30 years and will have implications for the development of preventive strategies. IMPORTANCEEscherichia coli is an opportunistic pathogen with the greatest burden of antibiotic resistance, one of the main causes of bacterial infections and an increasing concern in an ageing population. Deciphering the evolutionary dynamics of virulence and antibiotic resistance in commensal E. coli is important to understand adaptation and anticipate future changes. The gut of vertebrates is the primary habitat of E. coli and probably where selection for virulence and resistance take place. Unfortunately, most whole-genome sequenced strains are isolated from pathogenic conditions. Here, we whole genome sequenced 403 E. coli commensals isolated from healthy French subjects on a 30-year period. Virulence genes increased in frequency by both clonal expansion of clones carrying them and increases in frequency within clones whereas resistance genes increased by within clone increased frequency. Prospective studies of E. coli commensals should be performed worldwide to have a broader picture of evolution and adaptation of this species.

genomics↗

bioRxiv2020

A way to break bones? The weight of intuitiveness

During the Middle Paleolithic period, bone marrow extraction was an essential source of fat nutrients for hunter-gatherers especially throughout cold and dry seasons. This is attested by the recurrent findings of percussion marks in osteological material from anthropized archaeological levels. Among them some showed indicators that the marrow extraction process was part of a butchery cultural practice, meaning that the inflicted fracturing gestures and techniques were recurrent, standardized and counter-intuitive i.e. culturally influenced. In order to assess the weight of the counter-intuitive factor in the percussion mark pattern distribution, we carried out an experiment that by contrast focuses on the intuitive approach of fracturing bones to extract marrow, involving individual without experience in this activity. We wanted to evaluate the influence of bone morphology and the individuals behaviour on the distribution of percussion marks. Twelve experimenters broke 120 limb bones, a series of 10 bones per individual. During the experiment, information concerning the fracture of the bones as well as individual behaviour was collected and was subsequently compared to data from the laboratory study of the remains. Then, we applied an innovative GIS (Geographic Information System) method to analyze the distribution of percussion marks to highlight recurrent patterns. Results show that in spite of all the variables there is a high similarity in the distribution of percussion marks which we consider as intuitive patterns. The factor influenced the distribution for the humerus, radius-ulna and tibia series is the bone morphology, while for the femur series individual behaviour seems to have more weight in the distribution. To go further in the subject we need to compare the intuitive models with the distributions of percussion marks registered in fossil assemblages. Thus, it would be possible to propose new hypotheses on butchering practices based on the results presented in this work.

paleontology↗

bioRxiv2019

Model-based inference of punctuated molecular evolution

In standard models of molecular evolution, DNA sequences evolve through asynchronous substitutions according to Poisson processes with a constant rate (called the molecular clock) or a time-varying rate (relaxed clock). However, DNA sequences can also undergo episodes of fast divergence that will appear as synchronous substitutions affecting several sites simultaneously at the macroevolutionary time scale. Here, we develop a model combining basal, clock-like molecular evolution with episodes of fast divergence called spikes arising at speciation events. Given a multiple sequence alignment and its time-calibrated species phylogeny, our model is able to detect speciation events (including hidden ones) co-occurring with spike events and to estimate the probability and amplitude of these spikes on the phylogeny. We identify the conditions under which spikes can be distinguished from the natural variance of the clock-like component of molecular evolution and from temporal variations of the clock. We apply the method to genes underlying snake venom proteins and identify several spikes at gene-specific locations in the phylogeny. This work should pave the way for analyses relying on whole genomes to inform on modes of species diversification.

evolutionary biology↗

bioRxiv2019

Integration of Structured Biological Data Sources using Biological Expression Language

BackgroundThe integration of heterogeneous, multiscale, and multimodal knowledge and data has become a common prerequisite for joint analysis to unravel the mechanisms and aetiologies of complex diseases. Because of its unique ability to capture this variety, Biological Expression Language (BEL) is well suited to be further used as a platform for semantic integration and harmonization in networks and systems biology.\n\nResultsWe have developed numerous independent packages capable of downloading, structuring, and serializing various biological data sources to BEL. Each Bio2BEL package is implemented in the Python programming language and distributed through GitHub (https://github.com/bio2bel) and PyPI.\n\nConclusionsThe philosophy of Bio2BEL encourages reproducibility, accessibility, and democratization of biological databases. We present several applications of Bio2BEL packages including their ability to support the curation of pathway mappings, integration of pathway databases, and machine learning applications.\n\nTweetA suite of independent Python packages for downloading, parsing, warehousing, and converting multi-modal and multi-scale biological databases to Biological Expression Language

bioinformatics↗

bioRxiv2018

The genomic view of diversification

AO_SCPLOWBSTRACTC_SCPLOWEvolutionary relationships between species are traditionally represented in the form of a tree, the species tree. Its reconstruction from molecular data is hindered by frequent conflicts between gene genealogies. Usually, these disagreements are explained by incomplete lineage sorting (ILS) due to random coalescences of gene lineages inside the edges of the species tree. This paradigm, the multi-species coalescent (MSC), is constantly violated by the ubiquitous presence of gene flow, leading to incongruences between gene trees that cannot be explained by ILS alone. Here we argue instead in favor of a vision acknowledging the importance of gene flow and where gene histories shape the species tree rather than the opposite. We propose a new framework for modeling the joint evolution of gene and species lineages relaxing the hierarchy between the species tree and gene trees. We implement this framework in two mathematical models called the gene-based diversification models (GBD): 1) GBD-forward following all evolving genomes and 2) GBD-backward based on coalescent theory. They feature four parameters tuning colonization, gene flow, genetic drift and genetic differentiation. We propose a quick inference method based on differences between gene trees. Applied to two empirical data-sets prone to gene flow, we find a better support for the GBD model than for the MSC model. Along with the increasing awareness of the extent of gene flow, this work shows the importance of considering the richer signal contained in genomic histories, rather than in the mere species tree, to better apprehend the complex evolutionary history of species.

evolutionary biology↗