ArticleGenome research2014
Predicting the virulence of MRSA from its genome sequence.
Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
133 citing papers in PubMed, 268 citations in OpenAlex.
- Intracellular Staphylococcus aureus triggers isolate-specific host transcriptional responses alongside TNF-R1 regulated cell fate decisions.Cell communication and signaling : CCS · 2026Article
- Epistasis and co-adaptation in bacterial genome evolution.Nature reviews. Genetics · 2026Review
- Conserved and context-dependent changes in pathogen and host cell gene expression during Staphylococcus aureus intracellular infection.BMC microbiology · 2026Article
- GeneScanner: profiling genetic variation across bacterial populations.Microbial genomics · 2026Article
- A versatile multi-components mixed model for bacterial-Genome Wide association studies.Nature communications · 2026Article
- Reduced MGE burden, virulence optimization, and acid stress tolerance shape the clonal succession of MRSA ST59.Science advances · 2026Article
- Functional divergence of the gut microbiome associated with lifestyle and helminth infection in Indigenous Peninsular Malaysian.Research square · 2026Article
- Genomic variant-driven prediction of azole resistance inFrontiers in microbiology · 2026Article
- Detectable effects of bacterial phylogeny on virulence but not phage efficacy in anISME communications · 2026Article
- Genome-wide association analysis provides insights into the genomics and extracellular expression ofVirulence · 2025Article
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- Phosphate sensing by PhoPR regulates the cytotoxicity ofMicrobiology (Reading, England) · 2025Article
- Bacterial genome-wide association studies: exploring the genetic variation underlying bacterial phenotypes.Applied and environmental microbiology · 2025Review
- Anti-staphylococcal fatty acids: mode of action, bacterial resistance and implications for therapeutic application.Microbiology (Reading, England) · 2025Review
- Methicillin-sensitiveMicrobial genomics · 2025Article
- aurora: a machine learning gwas tool for analyzing microbial habitat adaptation.Genome biology · 2025Article
- Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Lipoteichoic acid biosynthesis bymBio · 2024Article
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- Bacterial Infections in Intensive Care Units: Epidemiological and Microbiological Aspects.Antibiotics (Basel, Switzerland) · 2024Review
73 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 10 institutions in 4 countries.
Funding
Abstract
Microbial virulence is a complex and often multifactorial phenotype, intricately linked to a pathogen's evolutionary trajectory. Toxicity, the ability to destroy host cell membranes, and adhesion, the ability to adhere to human tissues, are the major virulence factors of many bacterial pathogens, including Staphylococcus aureus. Here, we assayed the toxicity and adhesiveness of 90 MRSA (methicillin resistant S. aureus) isolates and found that while there was remarkably little variation in adhesion, toxicity varied by over an order of magnitude between isolates, suggesting different evolutionary selection pressures acting on these two traits. We performed a genome-wide association study (GWAS) and identified a large number of loci, as well as a putative network of epistatically interacting loci, that significantly associated with toxicity. Despite this apparent complexity in toxicity regulation, a predictive model based on a set of significant single nucleotide polymorphisms (SNPs) and insertion and deletions events (indels) showed a high degree of accuracy in predicting an isolate's toxicity solely from the genetic signature at these sites. Our results thus highlight the potential of using sequence data to determine clinically relevant parameters and have further implications for understanding the microbial virulence of this opportunistic pathogen.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.