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• W2556711219 abstract "Abstract Genomic recombination plays an important role in driving adaptive evolution and population differentiation in bacteria. However, controversy exists as to the effects of recombination on population diversity and differentiation, i.e ., recombination is frequent enough to sweep through the population at selected gene loci (gene-specific sweeps), or the recombination rate is low without interfering genome-wide selective sweeps. Observations supporting either view are sparse. Pathogenic bacteria causing infectious diseases are promising candidates to provide observations of recombination. However, phenotype-associated differentiations are usually vague among them due to diverse disease manifestations. Here we report a population genomic study of the group A Streptococcus pyogenes (GAS), a human pathogen with highly recombining genomes. By employing a genome-wide association study on single nucleotide polymorphisms (SNPs), we demonstrate a phenotypic differentiation of GAS, represented by separate clustering of two sublineages associated with niche-specific infections, i.e ., skin infection and pharyngitis-induced acute rheumatic fever. By quantifying SNPs associated with the differentiation in a statistical and phylogenetic context, we propose that the phenotype-associated differentiation arose through recombination-driven gene-specific sweeps, rather than genome-wide sweeps. Our work provides a novel paradigm of phenotype-associated differentiation induced by gene-specific sweeps in a human pathogen and has implications for understanding of driving forces of bacterial evolution." @default.
• W2556711219 created "2016-11-30" @default.
• W2556711219 creator A5020583147 @default.
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• W2556711219 date "2016-11-08" @default.
• W2556711219 modified "2023-10-18" @default.
• W2556711219 title "Phenotypic differentiation of Streptococcus pyogenes populations is induced by recombination-driven gene-specific sweeps" @default.
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• W2556711219 doi "https://doi.org/10.1038/srep36644" @default.
• W2556711219 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5099688" @default.
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• W2556711219 hasPublicationYear "2016" @default.
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