Nonsynonymous Polymorphism Counts in Bacterial Genomes: a Comparative Examination.

ABSTRACT: Genomic data reveal single-nucleotide polymorphisms (SNPs) that may carry information about the evolutionary history of bacteria. However, it remains unclear what inferences about selection can be made from genomic SNP data. Bacterial species are often sampled during epidemic outbreaks or within hosts during the course of chronic infections. SNPs obtained from genomic analysis of these data are not necessarily fixed. Treating them as fixed during analysis by using measures such as the ratio of nonsynonymous to synonymous evolutionary changes (dN/dS) may lead to incorrect inferences about the strength and direction of selection. In this study, we consider data from a range of whole-genome sequencing studies of bacterial pathogens and explore patterns of nonsynonymous variation to assess whe

SUBMITTER: Loo SL 

PROVIDER: S-EPMC7755258 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature