Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary sex classification of somatic tissues

Sexual dimorphism in phenotypes is largely driven by genes with sex-biased expression, spanning from key regulators to numerous organ-specific effectors. Current understanding is limited regarding the evolutionary dynamics of these genes in somatic tissues that generate the adult phenotype versus gonadal organs that are required for reproduction. Here, we investigate sex-biased gene expression and micro-evolutionary patterns of these genes in populations of subspecies and species of wild mice (genus <i>Mus</i>) that were raised under controlled conditions. We find a faster evolutionary turnover of sex-biased gene expression in somatic tissues, but not in the gonads, when compared to the turnover of non-sex-biased genes. We introduce a sex-biased gene expression index (SBI) to quantify individual variances. We find a range from binary to overlapping SBI patterns across individuals. SBI values do not correlate between organs of the same individuals, thus supporting a mosaic model of somatic sex determination. Comparison with data from humans shows mostly fewer sex-biased genes compared to mice and strongly overlapping SBI distributions between the somatic organs of the sexes. We conclude that adult individuals are composed of a mosaic spectrum of sex characteristics in their somatic tissues that should not be cumulated into a simple binary classification.

Authors

Institutions

Publication Details

Journal
eLife
Published
2024-08-16
DOI
https://doi.org/10.7554/elife.99602
Citations
4
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
2.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary sex classification of somatic tissues

Sven Künzel, Diethard Tautz, Chen Xie
4 citations
eLife
Evolution and Genetic Dynamics
2.20
article

Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary sex classification of somatic tissues

Sven Künzel, Diethard Tautz, Chen Xie
article en
4 citations

Abstract

Sexual dimorphism in phenotypes is largely driven by genes with sex-biased expression, spanning from key regulators to numerous organ-specific effectors. Current understanding is limited regarding the evolutionary dynamics of these genes in somatic tissues that generate the adult phenotype versus gonadal organs that are required for reproduction. Here, we investigate sex-biased gene expression and micro-evolutionary patterns of these genes in populations of subspecies and species of wild mice (genus <i>Mus</i>) that were raised under controlled conditions. We find a faster evolutionary turnover of sex-biased gene expression in somatic tissues, but not in the gonads, when compared to the turnover of non-sex-biased genes. We introduce a sex-biased gene expression index (SBI) to quantify individual variances. We find a range from binary to overlapping SBI patterns across individuals. SBI values do not correlate between organs of the same individuals, thus supporting a mosaic model of somatic sex determination. Comparison with data from humans shows mostly fewer sex-biased genes compared to mice and strongly overlapping SBI distributions between the somatic organs of the sexes. We conclude that adult individuals are composed of a mosaic spectrum of sex characteristics in their somatic tissues that should not be cumulated into a simple binary classification.

eLifeVol. 13
Pioneer (United States) (US), Peking University (CN), Max Planck Institute for Evolutionary Biology (DE)
Max-Planck-Gesellschaft
Openalex Percentile: Top 12%
Evolution and Genetic Dynamics
2.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary sex classification of somatic tissues — Sven Künzel, Diethard Tautz, et al. · eLife (2024) | TGRS Research Map | TGRS