Research

Publications
Title: Slow crabs - fast genomes: Locomotory capacity predicts skew magnitude in crustacean mitogenomes
First author: Jakovlic, Ivan; Zou, Hong; Chen, Jian-Hai; Lei, Hong-Peng; Wang, Gui-Tang; Liu, Jianquan; Zhang, Dong
Journal: MOLECULAR ECOLOGY
Years: 2021
Volume / issue: /
DOI: 10.1111/mec.16138
Abstract: Base composition skews (G-C/G+C) of mitochondrial genomes are believed to be primarily driven by mutational pressure, which is positively correlated with metabolic rate. In marine animals, metabolic rate is also positively correlated with locomotory capacity. Given the central role of mitochondria in energy metabolism, we hypothesised that selection for locomotory capacity should be positively correlated with the strength of purifying selection (dN/dS), and thus be negatively correlated with the skew magnitude. Therefore, these two models assume diametrically opposite associations between the metabolic rate and skew magnitude: positive correlation in the prevailing paradigm, and negative in our working hypothesis. We examined correlations between the skew magnitude, metabolic rate, locomotory capacity, and several other variables previously associated with mitochondrial evolution on 287 crustacean mitogenomes. Weakly locomotory taxa had higher skew magnitude and omega (dN/dS) values, but not the gene order rearrangement rate. Skew and omega magnitudes were correlated. Multilevel regression analyses indicated that three competing variables, body size, gene order rearrangement rate, and effective population size, had negligible impacts on the skew magnitude. In most crustacean lineages selection for locomotory capacity appears to be the primary factor determining the skew magnitude. Contrary to the prevailing paradigm, this implies that adaptive selection outweighs nonadaptive selection (mutation pressure) in crustaceans. However, we found indications that effective population size (nonadaptive factor) may outweigh the impact of locomotory capacity in sessile crustaceans (Thecostraca). In conclusion, skew magnitude is a product of the interplay between adaptive and nonadaptive factors, the balance of which varies among lineages.