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Rodrigue, S.

Publications and source records attributed to Rodrigue, S..

13 recordsLinked to original sources

Insights Into The Early Diversification of blaNDM-1 Genetic Contexts Following its Emergence in Acinetobacter species and Spread to Enterobacterales

Since its emergence, the New Delhi metallo-{beta}-lactamase (NDM) has become a major global antimicrobial resistance threat, enabling bacterial hosts to resist most {beta}-lactam antibiotics, including carbapenems, and spreading widely across bacterial species and geographic regions. Believed to have originated in Acinetobacter spp., blaNDM subsequently spread to Enterobacterales through mobile genetic elements, despite barriers to lateral gene transfer between these phylogenetically distant taxa. To investigate the genetic diversity and mechanisms underlying this interspecies transfer and subsequent global expansion, we sequenced and characterized 13 blaNDM-1-positive Gram-negative bacterial isolates collected in India in 2007, among the earliest known isolates harboring blaNDM-1. Clonal diversity was observed among both Escherichia coli and Klebsiella pneumoniae isolates. Comprehensive genomic analysis revealed that blaNDM-1 was consistently embedded within a conserved multidrug resistance region, often associated with mobile genetic elements involved in lateral gene transfer. Notably, the insertion sequence ISAba14 was identified in 6 of the 13 sequences, suggesting a potential role in the early dissemination of blaNDM-1 among diverse bacterial hosts. These findings contribute to our understanding of the evolutionary origins and early genetic context of blaNDM-1, highlighting the importance of continued genomic surveillance and functional studies to better understand the persistence and dissemination of carbapenem resistance.

molecular biology↗

ARG-PASS v2.0 expands global resistome surveillance to reveal previously unrecognized antibiotic resistance genes reaching the human gut

Antimicrobial resistance (AMR) is a significant global public health threat, and antibiotic resistance genes (ARGs) that bacteria depend on to withstand treatment are its molecular basis. How ARGs move from environmental reservoirs into the human microbiome, and eventually into human pathogens, remains one of the most important unresolved questions in AMR research. Surveillance has largely targeted ARGs resembling those already clinically characterised. The environmental reservoir remains poorly described and the routes connecting it to human microbiomes are inferred rather than observed. Describing that reservoir requires computational methods able to recognise ARGs that share little similarity with known enzymes, yet retain accuracy after experimental validation to enable scalable applications. Dietary exposure through unprocessed ferments offers a tractable setting in which such a route can be observed directly. Here we introduce ARG-PASS v2.0 (ARG-prediction by PAirwise Sequence versus Structure v2.0) and first apply it to a lake metagenome from Kolkata, India, where 10 of 11 tested candidates across diverse ARG classes were functionally confirmed after expression in Escherichia coli. Given their clinical relevance, we then predicted 918 class B1 metallo-beta-lactamases (MBLs) from MGnify and the PLSDB, with most diverging from characterised enzymes, but as widely distributed. A number of globally widespread candidates track their hosts distribution, with some recovered only from human-associated biomes, yet most span a wider ecological range. Phylogenetic inference places clinically relevant class B1 MBLs within marine diversity and suggests a marine reservoir. Cross-referencing against the Unified Human Gastrointestinal Protein catalogue identified a carbapenemase, an ANT, and class A beta-lactamases from Bacillus sonorensis and Bacillus licheniformis, detected in South Korean fermented soybean paste (doenjang) as well as gut isolates of populations consuming these foods. Together, these results point to a largely chromosomal reservoir of undescribed ARG diversity that reaches the human gut through both resident and generalist hosts. Once in the human microbiome, treatment may be compromised directly if the host is an opportunistic pathogen, or after transfer to a clinical pathogen.

microbiology↗

Optimization of DNA Transformation in Mesoplasma florum and Identification of a Candidate Recipient Strain for Genome Transplantation

Genome transplantation is a key technology for synthetic genomics, enabling entire genomes to be transferred into recipient cells. Despite its importance, genome transplantation remains confined to a small number of wall-less Mollicute species and is often characterized by low efficiencies, limiting the development and testing of synthetic genomes. Because genome transplantation relies on the same polyethylene glycol mediated DNA delivery process used for plasmid transformation, improving DNA uptake is an important step toward more efficient transplantation systems. Here, we systematically optimized polyethylene glycol-mediated transformation in Mesoplasma florum, a fast-growing, non-pathogenic Mollicute with a reduced genome that represents an attractive chassis for synthetic genomics. We evaluated 20 parameters spanning cell physiology, DNA preparation, membrane conditioning, and recovery conditions. DNA topology emerged as the strongest determinant of transformation efficiency, with highly compacted DNA preparations producing up to three orders of magnitude more transformants than conventional plasmid preparations. Growth phase and polyethylene glycol concentration also strongly influenced transformation outcomes. To identify potential recipients for future genome transplantation experiments, we further screened ten strains belonging to the Mesoplasma lineage. Transformation efficiencies varied widely among strains, and Mesoplasma entomophilum W17 emerged as a particularly promising candidate. Moreover, W17 supported replication of plasmids carrying the M. florum oriC, suggesting compatibility between the replication systems of the two species. Together, these results establish an improved transformation workflow for M. florum, identify DNA topology as a major determinant of DNA uptake, and reveal a new candidate recipient for future genome transplantation studies. These advances provide practical tools and biological insights for synthetic genome engineering in Mollicutes.

synthetic biology↗

Reducing growth-medium complexity reveals nutrient-responsive programs in a near-minimal bacterium

Mesoplasma florum is a fast-growing, near-minimal bacterium and an emerging model for systems and synthetic biology. However, its dependence on complex serum-containing media limits experimental control and complicates the interpretation of cellular phenotypes. Here, we developed CMRL-AT, a serum-free, quasi-defined medium that supports rapid growth comparable to the commonly used ATCC 1161 medium. Despite supporting similar biomass, CMRL-AT profoundly reshaped the M. florum transcriptome, with approximately one-third of the annotated protein-encoding genes being differentially expressed relative to ATCC 1161. These changes revealed distinct physiological programs associated with rapid growth in complex medium and higher nutrient acquisition in CMRL-AT, illustrating how medium composition alters the functional priorities of a near-minimal cell. Transcriptome profiling across six energy sources further uncovered distinct sugar-responsive expression programs. Combining these responses with transcription-unit organization, protein-domain predictions, and metabolic context resolved fructose- and sucrose-responsive modules, and allowed the assignment of previously ambiguous phosphotransferase system components to specific sugar-utilization pathways. CMRL-AT provides an experimental framework to help resolving gene functions, refining metabolic models, and designing reduced genomes adapted to defined environments.

systems biology↗

Comparative Analysis of Gene Importance in Escherichia coli Across Growth Conditions

As the ability to synthesize complete genomes becomes increasingly accessible, the question of what should compose those sequences is becoming more prevalent. However, identifying genes essential for the survival of an organism is challenging, as gene essentiality is a nuanced concept that heavily depends on context. In this study, we identified growth medium-specific important genes by performing transposon mutagenesis in Escherichia coli BW25113 and sequencing mutant populations at multiple time points in three growth media. Our analysis revealed a core set of 412 important genes shared across all conditions, along with distinct medium-specific gene sets of varying sizes. By analyzing temporal variations in read counts for each gene, we identified additional sets of genes whose inactivation causes a lighter impact on fitness. We used this dataset to define medium-specific gene modules required to sustain robust growth under each condition. Our study underscores the context-dependent nature of gene essentiality and marks a step toward refining the concept from a universal list to a more nuanced, condition-specific framework, which will be invaluable for future genome design efforts. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=159 SRC="FIGDIR/small/679994v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@1a6863corg.highwire.dtl.DTLVardef@1b6e594org.highwire.dtl.DTLVardef@9a879dorg.highwire.dtl.DTLVardef@13d5df5_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

Conserved protein sequence-structure signatures identify emerging antibiotic resistance genes from the human microbiome

Bacteria exhibiting antimicrobial resistance (AMR) is a problem that has grown to become a significant public health challenge worldwide. Antibiotic resistance genes (ARGs), determinants of AMR, mostly emerge from non-clinical settings. Identifying previously undetected ARGs in the human microbiome which confer resistance to clinical concentrations of antibiotics is a crucial component of addressing AMR, yet can be hindered by their low homology to existing ARGs. Here, we attempt to address this by focussing on functionally important protein regions. ARG-PASS (ARG-PAirwise Sequence vs Structure) represents a novel protein function prediction method which leverages a one-class support vector machine trained on pairwise primary and tertiary distributions of structurally conserved regions of proteins encoded by ARGs. ARG-PASS was applied to six reference strains of the Human Microbiome Project. Nine candidates were selected for experimental verification and all were functionally confirmed when expressed in E.coli, belonging to ARG classes: APH, dfr, class B and C {beta}-lactamases, and penicillin binding proteins. We also used ARG-PASS directly on protein structures within the AlphaFold database and predicted a phnP gene (metallo-{beta}-lactamase fold), which is highly divergent from existing {beta}-lactamases and had activity against ampicillin. In total, 80% of the tested genes confer resistance at CLSI resistant breakpoints and the remainder represent pre-resistance genes, with activity but not at clinically relevant minimum inhibitory concentrations. We suggest pre-resistance genes may preferentially evolve into clinically relevant resistance determinants. ARG-PASS represents a novel and precise method of identifying previously uncharacterized ARGs from DNA databases, contributing to resistance surveillance and antibiotic stewardship.

microbiology↗

Emergence of Acinetobacter baumannii International Clone 10 predominantly found in the Middle East

Acinetobacter baumannii is a globally distributed human pathogen. Infections caused by carbapenem-resistant isolates of A. baumannii (CRAB) are of great concern, as treatment options are very limited. Despite having among the highest rates reported worldwide, there exists limited genomic data from CRAB strains isolated in the Middle East. Here we report epidemiological, phenotypic, and genome sequencing data (short reads and long reads) on a set of 60 A. baumannii isolates belonging to Sequence Type ST158 (Pasteur MLST scheme). They represent a novel international clone (IC), designated IC10, with limited geographic spread beyond the Middle East. Specific antibiotic-resistance genes associated with this clone were identified and data on the plasmid content associated with this lineage are presented.

microbiology↗

Earliest observation of the tetracycline destructase tet(X3)

Tigecycline is an antibiotic of last resort for infections with carbapenem-resistant Acinetobacter baumannii. Plasmids harboring variants of the tetracycline destructase tet(X) promote rising tigecycline resistance rates. We report the earliest observation of tet(X3) in a clinical strain predating tigecyclines commercialization, suggesting selective pressures other than tigecycline contributed to its emergence.

microbiology↗

Adaptative Laboratory Evolution reveals biofilm regulating genes as key players in B. subtilis root colonization

Root-associated microorganisms play an important role in plant health, such as plant growth-promoting rhizobacteria from the Bacillus and Pseudomonas genera. Although bacterial consortia including these two genera would represent a promising avenue to efficient biofertilizer formulation, we observed that B. subtilis root colonization is decreased by the presence of P. fluorescens and P. protegens. To determine if B. subtilis can adapt to the inhibitory effect of Pseudomonas on roots, we conducted adaptative laboratory evolution experiments with B. subtilis in mono-association or co-cultured with P. fluorescens on tomato plant roots. Evolved isolates with various colony morphology and stronger colonization capacity of both tomato plant and A. thaliana roots emerged rapidly from the two evolution experiments. Certain evolved isolates had also a better fitness on root in presence of other Pseudomonas species. Whole genome sequencing revealed that single nucleotide polymorphism (SNPs) in negative biofilm regulator genes ywcC or sinR were found in all independent lineages, suggesting their involvement in enhanced root colonization. These findings provide insights into the molecular mechanisms underlying B. subtilis adaptation to root colonization and highlight the potential of directed evolution to enhance beneficial traits of PGPRs.

microbiology↗

De novo synthesis of a conjugative system from human gut metagenomic data for targeted delivery of Cas9 antimicrobials

Metagenomic sequence represents an untapped source of genetic novelty, particularly for conjugative systems that could be used for plasmid-based delivery of Cas9-derived antimicrobial agents. However, unlocking the functional potential of conjugative systems purely from metagenomic sequence requires the identification of suitable candidate systems as starting scaffolds for de novo DNA synthesis. Here, we developed a bioinformatics approach that searches through the metagenomic trash bin for conjugative systems present on contigs that are typically excluded from common metagenomic analysis pipelines. Using a human metagenomic gut dataset representing 2805 taxonomically distinct units, we identified 1598 contigs containing conjugative systems with a differential distribution in human cohorts. We synthesized de novo an entire Citrobacter spp. conjugative system of 54 kb and containing at least 47 genes, pCitro, and found that pCitro conjugates from Escherichia coli to Citrobacter rodentium with a 30-fold higher frequency than to E. coli, and is compatible with Citrobacter resident plasmids. Mutations in the traV and traY conjugation components of pCitro inhibited conjugation. We showed that pCitro can be re-purposed as an antimicrobial delivery agent by programming it with the TevCas9 nuclease and Citrobacter -specific sgRNAs to kill C. rodentium. Our study reveals a trove of uncharacterized conjugative systems in metagenomic data and describes an experimental framework to animate these large genetic systems as novel target-adapted delivery vectors for Cas9-based editing of bacterial genomes.

synthetic biology↗

Molecular epidemiology of carbapenemase-producing Acinetobacter spp. from Israel, 2001-2006: earliest report of blaNDM predating the oldest known blaNDM-positive strains

BackgroundCarbapenem-resistant Acinetobacter baumannii (CRAb) is a WHO priority 1 critical pathogen. Despite early emergence of elevated CRAb rates in Israel, limited molecular data from this location are available. We searched for carbapenemases among 198 clinical Acinetobacter spp. from Israel between 2001 and 2006. MethodsStrains from 3 archives underwent whole-genome sequencing (Illumina NovaSeq on all, MinION on a subset) and computational analyses: assembly (Unicycler), annotation (prokka), identification (Kraken, rpoB similarity), search for carbapenemases (ResFinder, BLDB curation). FindingsA. baumannii (Ab) represented 179 (90{middle dot}4%) Acinetobacter spp. Eighty-four Ab (46{middle dot}9%) carried a carbapenemase: 38 (45{middle dot}2%) blaOXA-72 (blaOXA-24-like); 28 (33{middle dot}3%) blaOXA-23-like (20 blaOXA-23 and 8 blaOXA-225); 18 (21{middle dot}5%) blaOXA-58 (16 from 2001-2). Carbapenemase rates increased yearly from 2002 (32%) to 2006 (67%). Eight species of non-baumannii Acinetobacter (NbA) accounted for 19 isolates (9{middle dot}6%). Two of three A. junii contained blaOXA-58, one of which, Ajun-H1-3, isolated in January 2004, also possessed blaNDM-1. The pNDM-Ajun-H1-3 plasmid matched numerous NDM-positive plasmids reported from 2005 onwards in Acinetobacter spp. as well as Enterobacterales. InterpretationWe assessed carbapenemase diversity among Acinetobacter spp. in Israel from 2001-2006. Findings in Ab predate observations elsewhere: rapidly rising carbapenemase rates, driven by blaOXA-23-like and blaOXA-24-like genes replacing blaOXA-58. Among NbA, an A. junii isolated in 2004 carried blaNDM-1, making it the earliest NDM-positive isolate reported to date, preceding those from 2005 in India. Further research into blaNDMs emergence is warranted, in order to shed light on the evolution and spread of this and other antibiotic-resistance genes. FundingCentre de recherche Charles-Le Moyne; Department of Microbiology and Infectious Diseases, Faculty of Medicine and Health Sciences, Universite de Sherbrooke; Fonds de recherche du Quebec - Sante; New Frontiers in Research Fund Grant NFRFE-2019-00444; CIFAR-Azrieli Global Scholars Program.

microbiology↗

Crucial Role of Salmonella Genomic Island 1 Master Activator in Parasitism of IncC plasmids

IncC conjugative plasmids and the multiple variants of Salmonella Genomic Island 1 (SGI1) are two functionally interacting families of mobile genetic elements commonly associated with multidrug resistance in Gammaproteobacteria. SGI1 and its siblings are specifically mobilised in trans by IncC conjugative plasmids. Conjugative transfer of IncC plasmids is activated by the plasmid-encoded master activator AcaCD. SGI1 carries five AcaCD-responsive promoters that drive the expression of genes involved in its excision, replication, and mobilisation. SGI1 encodes an AcaCD homologue, the transcriptional activator complex SgaCD (also known as FlhDCSGI1) that seems to recognise and activate the same SGI1 promoters. Here, we investigated the relevance of SgaCD in SGI1s lifecycle. Mating assays revealed the requirement for SgaCD and its IncC-encoded counterpart AcaCD in the mobilisation of SGI1. An integrative approach combining ChIP-exo, Cappable-seq, and RNA-seq confirmed that SgaCD activates each of the 18 AcaCD-responsive promoters driving the expression of the plasmid transfer functions. A comprehensive analysis of the activity of the complete set of AcaCD-responsive promoters in both SGI1 and IncC plasmid was performed through reporter assays. qPCR and flow cytometry assays revealed that SgaCD is essential for the excision and replication of SGI1, and the destabilisation of the helper IncC plasmid.

molecular biology↗

BOFdat: generating biomass objective function stoichiometric coefficients from experimental data

Genome-scale models (GEMs) rely on a biomass objective function (BOF) to predict phenotype from genotype. Here we present BOFdat, a Python package that offers functions to generate biomass objective function stoichiometric coefficients (BOFsc) from macromolecular cell composition and relative abundances of macromolecules obtained from omic datasets. Growth-associated and non-growth associated maintenance (GAM and NGAM) costs can also be calculated by BOFdat.\n\nBOFdat is freely available on the Python Package Index (pip install BOFdat). The source code and an example usage (Jupyter Notebook and example files) are available on GitHub (https://github.com/jclachance/BOFdat). The documentation and API are available through ReadTheDocs (https://bofdat.readthedocs.io).\n\nContactjean-christophe.lachance@usherbrooke.ca, zaking@eng.ucsd.edu, pierre-etienne.jacques@usherbrooke.ca

systems biology↗