Biology subjects

Petit, R. A.

Publications and source records attributed to Petit, R. A..

10 recordsLinked to original sources

bioRxiv2025

Transition of Staphylococcus aureus tetracycline resistance plasmid pT181 from independent multicopy replicon to predominantly integrated chromosomal element over 65 years

Mobile genetic elements (MGEs), including plasmids, phages and genome islands, are major sources of bacterial genetic diversity. The small plasmid pT181 confers tetracycline resistance in bacterial pathogen Staphylococcus aureus via an efflux pump, TetK. pT181 was one of the earliest sequenced S. aureus plasmids and has been isolated in both clinical and livestock-associated strains for decades, both as an independent replicon and integrated in the chromosome as part of staphylococcal cassette chromosome mec (SCCmec). Bacterial genome analysis tools and high-quality sequences with metadata are publicly available, but these resources remain underleveraged for examining historical data, especially when studying the spread of MGEs across a species and over time. Using publicly available reads and metadata, we explored the evolution of pT181 over nearly seven decades of samples to identify temporal trends in sequence evolution, copy number changes, and spread across S. aureus and beyond. pT181 was prevalent across S. aureus (found in 9.5% of 83,366 genomes tested), with a conserved sequence outside of three hypervariable regions. The history of pT181 since 1954 was characterized by spread across strains, significant variation in plasmid copy number of the independent replicon, and increasing frequency of integration of the plasmid into the S. aureus chromosome. We identified multiple chromosomal integration locations of the plasmid, including outside of the previously characterized SCCmec. We found that pT181 was transferred across Staphylococcaceae and into a Gram negative species. The repeated integration of pT181 into the chromosome may indicate coevolution of the plasmid and the host, potentially to facilitate increased antibiotic resistance.

genomics↗

bioRxiv2024

Average Nucleotide Identity based Staphylococcus aureus strain grouping allows identification of strain-specific genes in the pangenome

Staphylococcus aureus causes both hospital and community acquired infections in humans worldwide. Due to the high incidence of infection S. aureus is also one of the most sampled and sequenced pathogens today, providing an outstanding resource to understand variation at the bacterial subspecies level. We processed and downsampled 83,383 public S. aureus Illumina whole genome shotgun sequences and 1,263 complete genomes to produce 7,954 representative substrains. Pairwise comparison of core gene Average Nucleotide Identity (ANI) revealed a natural boundary of 99.5% that could be used to define 145 distinct strains within the species. We found that intermediate frequency genes in the pangenome (present in 10-95% of genomes) could be divided into those closely linked to strain background ("strain-concentrated") and those highly variable within strains ("strain-diffuse"). Non-core genes had different patterns of chromosome location; notably, strain-diffuse associated with prophages, strain-concentrated with the vSa{beta} genome island and rare genes (<10% frequency) concentrated near the origin of replication. Antibiotic genes were enriched in the strain-diffuse class, while virulence genes were distributed between strain-diffuse, strain-concentrated, core and rare classes. This study shows how different patterns of gene movement help create strains as distinct subspecies entities and provide insight into the diverse histories of important S. aureus functions. ImportanceWe analyzed the genomic diversity of Staphylococcus aureus, a globally prevalent bacterial species that causes serious infections in humans. Our goal was to build a genetic picture of the different strains of S. aureus and which genes may be associated with them. We used a large public dataset (>84,000 genomes) that was re-processed and subsampled to remove redundancy. We found that individual genomes could be grouped into strains by sharing > 99.5% identical nucleotide sequence of the core part of their genome. We also showed that a portion of genes that are present in intermediate frequency in the species are strongly associated with some strains but completely absent from others, suggesting a role in strain-specificity. This work lays the foundation for understanding individual gene histories of the S. aureus species and also outlines strategies for processing large bacterial genomic datasets.

microbiology↗

bioRxiv2022

Development of an amplicon nanopore sequencing strategy for detection of mutations conferring intermediate resistance to vancomycin in Staphylococcus aureus strains

Staphylococcus aureus is a major cause of bacteremia and other hospital-acquired infections. The cell-wall active antibiotic vancomycin is commonly used to treat both methicillin-resistant (MRSA) and sensitive (MSSA) infections, but vancomycin intermediate S. aureus (VISA) variants can arise through de novo mutations. Here we performed pilot experiments to develop a combined PCR/long-read sequencing-based method for detection of previously known VISA-causing mutations. We amplified 16 genes (walR, walK, rpoB, graR, graS, vraF, vraG, stpI, vraR, vraS, agrA, sarA, clpP, ccpA, prsA, and yvqF) known from prior studies to be associated with mutations responsible for VISA as 10 amplicons and sequenced amplicon pools as long-reads with Oxford Nanopore adapter ligation on Flongle flow cells. We then detected mutations by mapping reads against a parental consensus or known reference sequence and comparing called variants against a database of known VISA mutations from laboratory selection. There was high (>1000x) coverage of each amplicon in the pool, no relationship between amplicon length and coverage, and the ability to detect the causative mutation (walK 646C>G) in a VISA mutant derived from the USA300 strain (N384-3 from parental strain N384). Mixing mutant (N384-3) and parental (N384) DNA at various ratios from 0 to 1 mutant suggested a mutation detection threshold of roughly the average minor allele frequency of 6.5% at 95% confidence (two standard errors above mean mutation frequency). The study lays the groundwork for direct S. aureus antibiotic phenotype inference using rapid nanopore sequencing from clinical samples. ImportanceBacteremia mortality is known to increase rapidly with time after infection, making rapid diagnostics and treatment necessary. Successful treatment depends on correct administration of antibiotics based on knowledge of strain antibiotic susceptibility. Staphylococcus aureus is a major causative agent of bacteremia and is also increasingly antibiotic resistant. In this work, we develop a method to improve detection of a complex, polygenic antibiotic resistance phenotype in S. aureus, vancomycin-intermediate resistance (VISA) through long-read genomic sequencing of amplicons representing genes most commonly mutated in VISA selection. This method both speeds up VISA determination relative to purely culture-based detection and incorporates the most comprehensive database of VISA genetic determinants known to date.

microbiology↗

bioRxiv2022

Detecting patterns of accessory genome coevolution in bacterial species using data from thousands of bacterial genomes

Bacterial genomes exhibit widespread horizontal gene transfer, resulting in highly variable genome content that complicates the inference of genetic interactions. In this study, we develop a method for detecting coevolving genes from large datasets of bacterial genomes that we call a "coevolution score". The method is based on pairwise comparisons of closely related individuals, analogous to a pedigree study in eukaryotic populations. This approach avoids the need for an accurate phylogenetic tree and allows very large datasets to be analyzed for signatures of recent coevolution. We apply our method to all of the more than 3 million pairs of genes from the entire annotated Staphylococcus aureus accessory genome of 2,756 annotated genes using a database of over 40,000 whole genomes. We find many pairs of genes that that appear to be gained or lost in a coordinated manner, as well as pairs where the gain of one gene is associated with the loss of the other. These pairs form networks of dozens of rapidly coevolving genes, primarily consisting of genes involved in metal resistance, virulence, mechanisms of horizontal gene transfer, and antibiotic resistance, particularly the SCCmec complex. Our results reflect the fact that the evolution of many bacterial pathogens since the middle of the twentieth century has largely been driven by antibiotic resistance gene gain, and in the case of S. aureus the SCCmec complex is the most prominent of these elements driving the evolution of resistance. The frequent coincidence of these gene gain or loss events suggests that S. aureus switch between antibiotic-resistant niches and antibiotic-susceptible ones. While we focus on gene gain and loss, our method can also detect genes which tend to acquire substitutions in tandem or, in datasets that include phenotypic information, genotype-phenotype or phenotype-phenotype coevolution.

genomics↗

bioRxiv2022

Benchmarking software to predict antibiotic resistance phenotypes in shotgun metagenomes using simulated data

BackgroundThe use of shotgun metagenomics for AMR detection is appealing because data can be generated from clinical samples with minimal processing. Detecting antimicrobial resistance (AMR) in clinical genomic data is an important epidemiological task, yet a complex bioinformatic process. Many software tools exist to detect AMR genes, but they have mostly been tested in their detection of genotypic resistance in individual bacterial strains. Further, these tools use different databases, or even different versions of the same databases. Understanding the comparative performance of these bioinformatics tools for AMR gene detection in shotgun metagenomic data is important because this data type is increasingly used in public health and clinical settings. MethodsWe developed a software pipeline, hAMRoaster (Harmonized AMR Output compAriSon Tool ER; https://github.com/ewissel/hAMRoaster), for assessing accuracy of prediction of antibiotic resistance phenotypes. For evaluation purposes, we simulated a highly resistant mock community and several low resistance metagenomic short read (Illumina) samples based on sequenced strains with known phenotypes. We benchmarked nine open source bioinformatics tools for detecting AMR genes that 1) were conda or Docker installable, 2) had been actively maintained, 3) had an open source license, and 4) took FASTA or FASTQ files as input. hAMRoaster calculated sensitivity, specificity, precision, and accuracy for each tool, comparing detected AMR genes to susceptibility testing. ConclusionOverall, all tools were precise and accurate at all genome coverage levels tested (5x, 50x, 100x sequenced bases / genome length) in the highly resistant mock community with more variability in the low resistance community (1x coverage). This study demonstrated that different bioinformatic tools and pipelines yield differences in AMR gene identification across drug classes, and that these differences become important if researchers are interested in resistance to specific drug classes. SignificanceSoftware selection for metagenomic AMR prediction should be driven by the context of the clinical/research questions and tolerance for true and false negative results. The ability to assess which bioinformatics tool best fits a particular dataset prior to beginning a large-scale project allows for more efficient processing and analysis using optimal tools for a particular research question. As prediction software and databases are in a state of constant refinement, the approach used here--creating synthetic communities containing taxa and phenotypes of interest along with using hAMRoaster to assess performance of candidate software--offers a template to aid researchers in selecting the most appropriate strategy at the time of analysis.

bioinformatics↗

bioRxiv2021

Species-scale genomic analysis of S. aureus genes influencing phage host range and their relationships to virulence and antibiotic resistance genes

Phage therapy has been proposed as a possible alternative treatment for infections caused by the ubiquitous bacterial pathogen Staphylococcus aureus. However, successful phage therapy requires knowing both host and phage genetic factors influencing host range for rational cocktail formulation. To further our understanding of host range, we searched 40,000+ public S. aureus genome sequences for previously identified phage resistance genes. We found that phage adsorption targets and genes that block phage assembly were significantly more conserved than genes targeting phage biosynthesis. Core phage resistance genes had similar nucleotide diversity, ratio of non-synonymous to synonymous substitutions, and functionality (measured by delta-bitscore) to other core genes in a set of 380 non-redundant S. aureus genomes (each from a different MLST sequence type). Non-core phage resistance genes were significantly less consistent with the core genome phylogeny than all non-core genes in this set. Only superinfection immunity genes correlated with empirically determined temperate phage resistance, accessory genome content, and numbers of accessory antibiotic resistance or virulence genes encoded per strain. Taken together, these results suggested that, while phage adsorption genes are heavily conserved in the S. aureus species, they are not undergoing positive selection, arms race dynamics. They also suggested genes classified as involved in assembly are least phylogenetically constrained and superinfection immunity genes best predict both empirical phage resistance and levels of phage-mediated HGT. ImportanceStaphylococcus aureus is a widespread, hospital- and community-acquired pathogen that is commonly antibiotic resistant. It causes diverse diseases affecting both the skin and internal organs. Its ubiquity, antibiotic resistance, and disease burden make new therapies urgent, such as phage therapy, in which viruses specific to infecting bacteria clear infection. S. aureus phage host range not only determines whether phage therapy will be successful by killing bacteria but also horizontal gene transfer through transduction of host genetic material by phages. In this work, we comprehensively reviewed existing literature to build a list of S. aureus phage resistance genes and searched our database of almost 43,000 S. aureus genomes for these genes to understand their patterns of evolution, finding that prophages superinfection immunity correlates best with phage resistance and HGT. These findings improved our understanding of the relationship between known phage resistance genes and phage host range in the species.

microbiology↗

bioRxiv2021

Species-wide phylogenomics of the Staphylococcus aureus agr operon reveals convergent evolution of frameshift mutations

Staphylococcus aureus is a prominent nosocomial pathogen that causes several life-threatening diseases such as pneumonia and bacteremia. S. aureus modulates expression of its arsenal of virulence factors through sensing and integrating responses to environmental signals. The agr (accessory gene regulator) quorum sensing (QS) system is a major regulator of virulence phenotypes in S. aureus. There are four agr specificity groups each with a different autoinducer peptide sequence (encoded by the agrD gene). Though agr is critical for expression of many toxins, paradoxically, S. aureus strains often have non-functional agr activity due to loss-of-function mutations in the four-gene agr operon. To understand patterns in agr variability across S. aureus, we undertook a species-wide genomic investigation. We developed a software tool (AgrVATE; https://github.com/VishnuRaghuram94/AgrVATE) for typing and detecting frameshift mutations in the agr operon. In an analysis of over 40,000 S. aureus genomes, we showed close association between agr type and S. aureus clonal complex. We also found strong linkage between agrBDC alleles (encoding the peptidase, the autoinducing peptide itself, and the peptide sensor respectively) but not agrA (encoding the -response regulator). More than five percent of genomes were found to have frameshift mutations in the agr operon. Though most mutations occur only once in the entire species, we observed a small number of recurring mutations evolving convergently across different clonal lineages. Phylogenetic patterns suggested that strains with agr frameshifts were evolutionary dead ends. Overall, genomic analysis of agr operon suggests evolution through multiple processes with functional consequences that are not fully understood. ImportanceStaphylococcus aureus is a globally pervasive pathogen that produces a plethora of toxic molecules that can degrade, evade, or inhibit the host immune cells. Production of these toxins is mainly controlled by an active agr quorum sensing system, which senses and responds to bacterial cell density. However, there are many reports of S. aureus strains with genetic changes leading to impaired agr activity, often found during chronic bloodstream infections, and may be associated with increased disease severity. We developed an open-source software called AgrVATE to type agr systems and identify putative frameshifts. We used AgrVATE for a species-wide genomic survey of S. aureus, finding that more than 5 % of strains in the public database had non-functional agr systems. We also provide new insights into the evolution of these genetic mutations in the agr system. Overall, this study contributes to our understanding of a common but relatively understudied means of virulence regulation in S. aureus.

genomics↗

bioRxiv2020

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Sequencing of bacterial genomes using Illumina technology has become such a standard procedure that often data are generated faster than can be conveniently analyzed. We created a new series of pipelines called Bactopia, built using Nextflow workflow software, to provide efficient comparative genomic analyses for bacterial species or genera. Bactopia consists of a dataset setup step (Bactopia Datasets; BaDs) where a series of customizable datasets are created for the species of interest; the Bactopia Analysis Pipeline (BaAP), which performs quality control, genome assembly and several other functions based on the available datasets and outputs the processed data to a structured directory format; and a series of Bactopia Tools (BaTs) that perform specific post-processing on some or all of the processed data. BaTs include pan-genome analysis, computing average nucleotide identity between samples, extracting and profiling the 16S genes and taxonomic classification using highly conserved genes. It is expected that the number of BaTs will increase to fill specific applications in the future. As a demonstration, we performed an analysis of 1,664 public Lactobacillus genomes, focusing on L. crispatus, a species that is a common part of the human vaginal microbiome. Bactopia is an open source system that can scale from projects as small as one bacterial genome to thousands that allows for great flexibility in choosing comparison datasets and options for downstream analysis. Bactopia code can be accessed at https://www.github.com/bactopia/bactopia.

bioinformatics↗

bioRxiv2019

Genotypic and phenotypic diversity of Staphylococcus aureus from cystic fibrosis lung infections and their interactions with Pseudomonas aeruginosa

Pseudomonas aeruginosa and Staphylococcus aureus are the most common bacteria that infect the respiratory tract of individuals with the genetic disease cystic fibrosis (CF); in fact, S. aureus has recently overtaken P. aeruginosa to become the most common. Substantial research has been performed on the epidemiology of S. aureus in CF; however, there appears to be a gap in knowledge in regard to the pathogenesis of S. aureus in the context of CF lung infections. Most studies have focused on a few S. aureus isolates, often exclusively laboratory adapted strains, and how they are killed by P. aeruginosa. Because of this, little is known about the diversity of S. aureus CF lung isolates in both virulence and interaction with P. aeruginosa. To begin to address this gap in knowledge, we recently sequenced 65 clinical S. aureus isolates from the Emory CF Biospecimen Registry and Boston Childrens Hospital, including the reference isolate JE2, a USA300 strain. Here, we analyzed antibiotic resistance genotypes, sequence type, clonal complex, spa type, and agr type of these isolates. We hypothesized that major virulence phenotypes of S. aureus that may be associated with CF lung infections, namely toxin production and mucoid phenotype, would be retained in these isolates. To test our hypothesis, we plated on specific agars and found that most isolates can hemolyze both rabbit and sheep blood (67.7%) and produce polysaccharide (69.2%), consistent with virulence retention in CF lung isolates. We also identified three distinct phenotypic groups of S. aureus based on their survival in the presence of nonmucoid P. aeruginosa laboratory strain PAO1 and its mucoid derivative. Altogether, our work provides greater insight into the diversity of S. aureus CF isolates, specifically the distribution of important virulence factors and their interaction with P. aeruginosa, all of which have implications in patient health.\n\nAuthor SummaryStaphylococcus aureus is now the most frequently detected pathogen in the lungs of individuals who have cystic fibrosis (CF), followed closely by Pseudomonas aeruginosa. When these two pathogens are found to coinfect the CF lung, patients have a significantly worse prognosis. While P. aeruginosa has been rigorously studied in the context of bacterial pathogenesis in CF, less is known about S. aureus. Here we present an in-depth study of 64 S. aureus CF clinical isolates where we investigated genetic diversity utilizing whole genome sequencing, virulence phenotypes, and interactions with P. aeruginosa. We have found that S. aureus isolated from the CF lung are phylogenetically diverse, most retain known virulence factors, and they vary in interactions with P. aeruginosa from highly sensitive to completely tolerant. Deepening our understanding of how S. aureus responds to its environment and other microbes in the CF lung will enable future development of effective treatments and preventative measures against these formidable infections.

microbiology↗

bioRxiv2017

USA300 MRSA lineages persist on multiple body sites following infection

Abstract\n\nBACKGROUNDUSA300 methicillin-resistant Staphylococcus aureus (MRSA) is a community- and hospital- acquired pathogen that frequently causes infections but also can survive on the human body asymptomatically as a part of the normal flora. We devised a comparative genomic strategy to track colonizing USA300 at different body sites after S. aureus infection.\n\nMETHODSWe sampled ST8 S. aureus from subjects at the site of a first known MRSA infection. Within 60 days of this infection and again 12 months later, each subject was tested for asymptomatic colonization in the nose, throat and perirectal region. 93 S. aureus strains underwent whole genome shotgun sequencing.\n\nRESULTSGenome sequencing revealed that 23 patients carried USA300 intra-subject lineages (ISLs), defined as having an index infection isolate (III) and closely related strains. Pairwise distance between strains in different ISLs was 48 to 162 single nucleotide polymorphisms (SNPs), whereas within the same ISL it was 0 to 26 SNPs. At the initial sampling time among 23 subjects, we isolated S. aureus from the nose, throat and perirectal sites from 15, 11 and 15 of them, respectively. Twelve months later we isolated S. aureus within the same ISL from 9 subjects, with 6, 3 and 3 strains from the nose, throat and perirectal area, respectively. The median time from initial acquisition of the S. aureus USA300 strains to culture of the index infection was estimated at 18 weeks. Strains in ISLs from the same subject differed in plasmid and prophage content, and contained deletions that removed the mecA-containing SCCmec and ACME regions. Five strains contained frameshift mutations in agr toxin-regulating genes. Persistence of an ISL was not associated with clinical or demographic subject characteristics.\n\nCONCLUSIONClonal lineages of USA300 may continue to colonize people at one or more anatomic sites up to a year after an initial infection and experience loss of the SCCmec, loss and gain of other mobile genetic elements, and mutations in the agr operon.

microbiology↗