AI Article Synopsis
- Whole-genome sequence databases are expanding, and the time gap between sample collections is increasing.
- This presents challenges in comparing new sequence data with older samples but also opens up opportunities for evolutionary analyses.
- The study measured evolutionary rates for 22 serotypes and suggests using an evolutionary rate of 1.97 SNPs per year as a criterion for determining genome sequence matches.
Article 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 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301902 | PMC |
| http://dx.doi.org/10.3389/fmicb.2022.797997 | DOI Listing |
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