Correlates of evolutionary rates in the murine sperm proteome.

ABSTRACT:

Background

Protein-coding genes expressed in sperm evolve at different rates. To gain deeper insight into the factors underlying this heterogeneity we examined the relative importance of a diverse set of previously described rate correlates in determining the evolution of murine sperm proteins.

Results

Using partial rank correlations we detected several major rate indicators: Phyletic gene age, numbers of protein-protein interactions, and survival essentiality emerged as particularly important rate correlates in murine sperm proteins. Tissue specificity, numbers of paralogs, and untranslated region lengths also correlate significantly with sperm genes' evolutionary rates, albeit to a lesser extent. Multifunctionality, coding sequence or average intron lengths, and mean expre

SUBMITTER: Schumacher J 

PROVIDER: S-EPMC5870804 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature