English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The ratio of diversities at amino acid changing (nonsynonymous) and neutral (synonymous) sites (ω = πN/πS) is routinely used to measure the intensity of selection pressure. It is well known that this ratio is influenced by the effective population size (Ne) and selection coefficient (s). Here, we examined the effects of effective population size on ω by comparing protein-coding genes from Mus musculus castaneus and Mus musculus musculus-two mouse subspecies with different Ne. Our results revealed a positive relationship between the magnitude of selection intensity and the ω estimated for genes. For genes under high selective constraints, the ω estimated for the subspecies with small Ne (M. m. musculus) was three times higher than that observed for that with large Ne (M. m. castaneus). However, this difference was only 18% for genes under relaxed selective constraints. We showed that the observed relationship is qualitatively similar to the theoretical predictions. We also showed that, for highly expressed genes, the ω of M. m. musculus was 2.1 times higher than that of M.m. castaneus and this difference was only 27% for genes with low expression levels. These results suggest that the effect of effective population size is more pronounced in genes under high purifying selection. Hence the choice of genes is important when ω is used to infer the effective size of a population.

Influence of Effective Population Size on Genes under Varying Levels of Selection Pressure