학술논문
Using Evolutionary Analyses to Refine Whole-Genome Sequence Match Criteria
Document Type
article
Author
Source
Frontiers in Microbiology, Vol 13 (2022)
Subject
Language
English
ISSN
1664-302X
Abstract
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 Salmonella enterica 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.