AUTHOR=Pightling Arthur W. , Rand Hugh , Pettengill James 

TITLE=Using Evolutionary Analyses to Refine Whole-Genome Sequence Match Criteria

JOURNAL=Frontiers in Microbiology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2022.797997

DOI=10.3389/fmicb.2022.797997

ISSN=1664-302X

ABSTRACT=<p>Whole-genome sequence databases continue to grow. Collection times between samples are also growing, providing both a challenge for comparing recently collected sequence data to historical samples and an opportunity for evolutionary analyses that can be used to refine match criteria. We measured evolutionary rates for 22 <italic>Salmonella enterica</italic> serotypes. Based upon these measurements, we propose using an evolutionary rate of 1.97 single-nucleotide polymorphisms (SNPs) per year when determining whether genome sequences match.</p>