Open Access
Effective population size does not predict codon usage bias in mammals
Author(s) -
Kessler Michael D.,
Dean Matthew D.
Publication year - 2014
Publication title -
ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.17
H-Index - 63
ISSN - 2045-7758
DOI - 10.1002/ece3.1249
Subject(s) - biology , intraspecific competition , codon usage bias , evolutionary biology , interspecific competition , gene , genetics , negative selection , selection (genetic algorithm) , population , genome , genetic variation , effective population size , background selection , variation (astronomy) , molecular evolution , zoology , ecology , demography , physics , artificial intelligence , sociology , computer science , astrophysics
Abstract Synonymous codons are not used at equal frequency throughout the genome, a phenomenon termed codon usage bias ( CUB ). It is often assumed that interspecific variation in the intensity of CUB is related to species differences in effective population sizes ( N e ), with selection on CUB operating less efficiently in species with small N e . Here, we specifically ask whether variation in N e predicts differences in CUB in mammals and report two main findings. First, across 41 mammalian genomes, CUB was not correlated with two indirect proxies of N e (body mass and generation time), even though there was statistically significant evidence of selection shaping CUB across all species. Interestingly, autosomal genes showed higher codon usage bias compared to X‐linked genes, and high‐recombination genes showed higher codon usage bias compared to low recombination genes, suggesting intraspecific variation in N e predicts variation in CUB . Second, across six mammalian species with genetic estimates of N e (human, chimpanzee, rabbit, and three mouse species: Mus musculus, M. domesticus, and M. castaneus ), N e and CUB were weakly and inconsistently correlated. At least in mammals, interspecific divergence in N e does not strongly predict variation in CUB . One hypothesis is that each species responds to a unique distribution of selection coefficients, confounding any straightforward link between N e and CUB .