Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary classification of sexes DOI Open Access
Chen Xie, Sven Künzel, Diethard Tautz

et al.

Published: Aug. 16, 2024

The phenotypic differences between the sexes are generated by genes with sex-biased expression. These range from a few major regulators to large numbers of organ-specific effector in sexually mature individuals. We explore variation and evolutionary patterns these dataset natural populations sub-species species mice across an distance 2 million years. Intriguingly, even within short phylogenetic distances, we find extremely fast turnover gene expression adaptive protein evolution. To capture individual variances expression, have developed index (SBI) that represents cumulative all for each organ. SBI distributions often overlapping do not correlate organs, thus defying simple binary sex distinction given Comparison data humans shows fewer most organs strongly sexes. conclude subject particularly evolution, no long-term stability male or female characteristics sex-related characters is usually

Language: Английский

On the resolution of sexual conflict over shared traits DOI Creative Commons
Tanya M. Pennell, Judith E. Mank, Suzanne H. Alonzo

et al.

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 291(2027)

Published: July 31, 2024

Anisogamy, different-sized male and female gametes, sits at the heart of sexual selection conflict between sexes. Sperm producers (males) egg (females) same species generally share most, if not all, genome, but frequently favours different trait values in each sex for traits common to both. The extent which this might be resolved, potential mechanisms by can occur, have been widely debated. Here, we summarize recent findings emphasize that once sexes evolve, is ongoing, therefore new always possible. In addition, largely a multivariate problem, involving combinations underpinned networks interconnected genes. Although these complexities hinder resolution, they also provide multiple possible routes decouple phenotypes permit sex-specific evolution. Finally, highlight difficulty study over shared promising directions future research.

Language: Английский

Citations

4
Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary classification of sexes DOI Open Access
Chen Xie, Sven Künzel, Diethard Tautz

et al.

Published: March 28, 2025

The phenotypic differences between the sexes are generated by genes with sex-biased expression. These range from a few major regulators to large numbers of organ-specific effector in sexually mature individuals. We explore variation and evolutionary patterns these dataset natural populations sub-species species mice across an distance two million years. Within short phylogenetic distances, we find faster turnover gene expression compared non-sex-biased adaptive protein evolution for that given taxon. show occur only subset co-expression modules each organ taxa occurs often within main modules. Given our is first animals was combined population genetic context, were interested study within-group variances somatic gonadal tissues their turnover. To visualize individual variances, have developed index (SBI) represents cumulative all organ. SBI distributions can close binary overlapping sexes. They do not correlate organs same individuals, thus supporting mosaic model sex-determination Comparison data humans shows fewer strongly conclude subject fast evolution, no long-term stability male or female characteristics.

Language: Английский

Citations

0
Molecular and cellular origins of behavioral sex differences: a tiny little fly tells a lot DOI Creative Commons
Kosei Sato,

Daisuke Yamamoto

Frontiers in Molecular Neuroscience, Journal Year: 2023, Volume and Issue: 16

Published: Oct. 16, 2023

Behavioral sex differences primarily derive from the sexually dimorphic organization of neural circuits that direct behavior. In Drosophila melanogaster , sex-determination genes fruitless ( fru ) and doublesex dsx play pivotal roles in producing sexual dimorphism for Here we examine three groups expressing and/or i.e., P1 cluster, aSP-f aSP-g cluster pairs aDN which causal relationships between behavior characteristics are best illustrated. aSP-f, clusters represent examples where or switches cell-autonomously their neurite structures female-type male-type. Processed sensory inputs impinging on these neurons may result outputs encode different valences, culminate execution distinct according to sex. contrast, is male-specific as its female counterpart undergoes -driven cell death, lowers threshold induction behaviors. We propose products genes, terminal selectors neuronal wiring, induce maintain sex-typical chromatin state at postembryonic stages, orchestrating transcription effector shape single neuron govern survival death.

Language: Английский

Citations

10
Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary classification of sexes DOI Creative Commons
Chen Xie, Sven Künzel, Diethard Tautz

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 26, 2024

Abstract The phenotypic differences between the sexes are generated by genes with sex-biased expression. These range from a few major regulators to large numbers of organ-specific effector in sexually mature individuals. We explore variation and evolutionary patterns these dataset natural populations sub-species species mice across an distance two million years. Within short phylogenetic distances, we find faster turnover gene expression compared non-sex-biased adaptive protein evolution for that given taxon. show occur only subset co-expression modules each organ taxa occurs often within main modules. Given our is first animals was combined population genetic context, were interested study within-group variances somatic gonadal tissues their turnover. To visualize individual variances, have developed index (SBI) represents cumulative all organ. SBI distributions can close binary overlapping sexes. They do not correlate organs same individuals, thus supporting mosaic model sex-determination Comparison data humans shows fewer strongly conclude subject fast evolution, no long-term stability male or female characteristics.

Language: Английский

Citations

0
Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary classification of sexes DOI Open Access
Chen Xie, Sven Künzel, Diethard Tautz

et al.

Published: Aug. 16, 2024

The phenotypic differences between the sexes are generated by genes with sex-biased expression. These range from a few major regulators to large numbers of organ-specific effector in sexually mature individuals. We explore variation and evolutionary patterns these dataset natural populations sub-species species mice across an distance 2 million years. Intriguingly, even within short phylogenetic distances, we find extremely fast turnover gene expression adaptive protein evolution. To capture individual variances expression, have developed index (SBI) that represents cumulative all for each organ. SBI distributions often overlapping do not correlate organs, thus defying simple binary sex distinction given Comparison data humans shows fewer most organs strongly sexes. conclude subject particularly evolution, no long-term stability male or female characteristics sex-related characters is usually

Language: Английский

Citations

0
Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary classification of sexes DOI Open Access
Chen Xie, Sven Künzel, Diethard Tautz

et al.

Published: Aug. 16, 2024

The phenotypic differences between the sexes are generated by genes with sex-biased expression. These range from a few major regulators to large numbers of organ-specific effector in sexually mature individuals. We explore variation and evolutionary patterns these dataset natural populations sub-species species mice across an distance 2 million years. Intriguingly, even within short phylogenetic distances, we find extremely fast turnover gene expression adaptive protein evolution. To capture individual variances expression, have developed index (SBI) that represents cumulative all for each organ. SBI distributions often overlapping do not correlate organs, thus defying simple binary sex distinction given Comparison data humans shows fewer most organs strongly sexes. conclude subject particularly evolution, no long-term stability male or female characteristics sex-related characters is usually

Language: Английский

Citations

0