Evidence map›Paper›PMID 19730733›Full record

ArticlePloS one2009

Inference of antibiotic resistance and virulence among diverse group A Streptococcus strains using emm sequencing and multilocus genotyping methods.

David Metzgar, Darcie Baynes, Christian J Hansen, Erin A McDonough, Daisy R Cabrera, Melody M Ellorin, Patrick J Blair, Kevin L Russell, Dennis J Faix

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Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

David MetzgarDepartment of Respiratory Diseases Research, Naval Health Research Center, San Diego, California, United States of America. david.metzgar@med.navy.mil
Darcie Baynes
Christian J Hansen
Erin A McDonough
Daisy R Cabrera
Melody M Ellorin
Patrick J Blair
Kevin L Russell
Dennis J Faix

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGroup A Streptococcus pyogenes (GAS) exhibits a high degree of clinically relevant phenotypic diversity. Strains vary widely in terms of antibiotic resistance (AbR), clinical severity, and transmission rate. Currently, strain identification is achieved by emm typing (direct sequencing of the genomic segment coding for the antigenic portion of the M protein) or by multilocus genotyping methods. Phenotype analysis, including critical AbR typing, is generally achieved by much slower and more laborious direct culture-based methods. METHODOLOGY/PRINCIPAL

findingsWe compare genotype identification (by emm typing and PCR/ESI-MS) with directly measured phenotypes (AbR and outbreak associations) for 802 clinical isolates of GAS collected from symptomatic patients over a period of 6 years at 10 military facilities in the United States. All independent strain characterization methods are highly correlated. This shows that recombination, horizontal transfer, and other forms of reassortment are rare in GAS insofar as housekeeping genes, primary virulence and antibiotic resistance determinants, and the emm gene are concerned. Therefore, genotyping methods offer an efficient way to predict emm type and the associated AbR and virulence phenotypes. CONCLUSIONS/SIGNIFICANCE: The data presented here, combined with much historical data, suggest that emm typing assays and faster molecular methods that infer emm type from genomic signatures could be used to efficiently infer critical phenotypic characteristics based on robust genotype: phenotype correlations. This, in turn, would enable faster and better-targeted responses during identified outbreaks of constitutively resistant or particularly virulent emm types.

Indexed as

Drug Resistance, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial Typing TechniquesCarrier ProteinsGenetic TechniquesGenotypeHumansPhenotypePolymerase Chain ReactionReproducibility of ResultsSequence Analysis, DNASpectrometry, Mass, Electrospray IonizationStreptococcal InfectionsStreptococcus pyogenesVirulenceAntigens, BacterialBacterial Outer Membrane ProteinsCarrier Proteinsstreptococcal M protein

Identifiers

PMID19730733
PMCPMC2731928

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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.