Detecting macroevolutionary genotype-phenotype associations using error-corrected rates of protein convergence.

ABSTRACT: On macroevolutionary timescales, extensive mutations and phylogenetic uncertainty mask the signals of genotype-phenotype associations underlying convergent evolution. To overcome this problem, we extended the widely used framework of non-synonymous to synonymous substitution rate ratios and developed the novel metric ω_C, which measures the error-corrected convergence rate of protein evolution. While ω_C distinguishes natural selection from genetic noise and phylogenetic errors in simulation and real examples, its accuracy allows an exploratory genome-wide search of adaptive molecular convergence without phenotypic hypothesis or candidate genes. Using gene expression data, we explored over 20 million branch combinations in vertebrate genes and identified the joint conve

SUBMITTER: Fukushima K 

PROVIDER: S-EPMC9834058 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature