ArticleNature communications2025
Faster adaptation but slower divergence of X chromosomes under paternal genome elimination.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Selective Regimes and Evolutionary Dynamics of Z and W Gametologs Across an Expanded Avian Neo-Sex Chromosome.Genome biology and evolution · 2026Article
- Causes and consequences of sex-chromosome turnovers in Diptera.Evolution letters · 2026Article
- Maternal inheritance of primary sex ratios in the dark-winged fungus gnat Lycoriella ingenua.Heredity · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Differences in transmission and ploidy between sex chromosomes and autosomes drive divergent evolutionary trajectories, with sex chromosomes generally evolving faster. Because sex-linked genes are transmitted less frequently, they are under less efficient selection. Conversely, exposure of recessive mutations on haploid sex chromosomes creates more efficient selection. In most systems, these effects occur simultaneously and are confounded. The fly families Sciaridae (fungus gnats) and Cecidomyiidae (gall midges) have X0 sex determination, but males transmit only maternally inherited chromosomes. This phenomenon results in equal transmission of the X and autosomes, allowing the effect of haploid selection to be studied in isolation. We discover that, unlike well-studied systems, X chromosomes diverge more slowly than autosomes in these flies. Using population genomic and expression data, we show that despite the X evolving more adaptively, stronger purifying selection explains slower divergence. Our findings demonstrate the utility of non-Mendelian inheritance systems for understanding fundamental evolutionary processes.
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