Positive selection drives faster-Z evolution in silkmoths

TL;DR

This study investigates the evolutionary rate differences between Z chromosomes and autosomes in silkmoths, revealing that faster-Z evolution is driven by positive selection in females, contrasting with patterns observed in birds.

Contribution

It provides the first evidence of faster-Z evolution driven by positive selection in a female-heterogametic system, expanding understanding of sex chromosome evolution.

Findings

Silkmoths exhibit faster-Z evolution.

Faster-Z effect is due to positive selection in females.

Contrasts with bird patterns where drift dominates.

Abstract

Genes linked to X or Z chromosomes, which are hemizygous in the heterogametic sex, are predicted to evolve at different rates than those on autosomes. This faster-X effect can arise either as a consequence of hemizygosity, which leads to more efficient selection for recessive beneficial mutations in the heterogametic sex, or as a consequence of reduced effective population size of the hemizygous chromosome, which leads to increased fixation of weakly deleterious mutations due to random genetic drift. Empirical results to date have suggested that, while the overall pattern across taxa is complicated, in general systems with male-heterogamy show a faster-X effect primarily attributable to more efficient selection while the only female-heterogamy taxon studied to date (birds) shows a faster-Z effect primarily attributable to increased drift. In order to test the generality of the faster-Z pattern seen in birds, we sequenced the genome of the Lepidopteran insect Bombyx huttoni, a close outgroup of the domesticated silkmoth Bombyx mori. We show that silkmoths experience faster-Z evolution, but unlike in birds, the faster-Z effect appears to be attributable to more efficient positive selection in females. These results suggest that female-heterogamy alone is unlikely to be sufficient to explain the reduced efficacy of selection on the bird Z chromosome. Instead, it is likely that a combination of patterns of dosage compensation and overall effective population size, among other factors, influence patterns of faster-Z evolution.