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Detection of sexually antagonistic transmission distortions in trio datasets

Sexual dimorphisms are widespread in animals and plants, for morphological as well as physiological traits. Understanding the genetic basis of sexual dimorphism and its evolution is crucial for understanding biological differences between the sexes. Genetic variants with sex‐antagonistic effects on...

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Autores principales: Lucotte, Elise A., Albiñana, Clara, Laurent, Romain, Bhérer, Claude, Bataillon, Thomas, Toupance, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966469/
https://www.ncbi.nlm.nih.gov/pubmed/35386833
http://dx.doi.org/10.1002/evl3.271
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author Lucotte, Elise A.
Albiñana, Clara
Laurent, Romain
Bhérer, Claude
Bataillon, Thomas
Toupance, Bruno
author_facet Lucotte, Elise A.
Albiñana, Clara
Laurent, Romain
Bhérer, Claude
Bataillon, Thomas
Toupance, Bruno
author_sort Lucotte, Elise A.
collection PubMed
description Sexual dimorphisms are widespread in animals and plants, for morphological as well as physiological traits. Understanding the genetic basis of sexual dimorphism and its evolution is crucial for understanding biological differences between the sexes. Genetic variants with sex‐antagonistic effects on fitness are expected to segregate in populations at the early phases of sexual dimorphism emergence. Detecting such variants is notoriously difficult, and the few genome‐scan methods employed so far have limited power and little specificity. Here, we propose a new framework to detect a signature of sexually antagonistic (SA) selection. We rely on trio datasets where sex‐biased transmission distortions can be directly tracked from parents to offspring, and identify signals of SA transmission distortions in genomic regions. We report the genomic location of six candidate regions detected in human populations as potentially under sexually antagonist selection. We find an enrichment of genes associated with embryonic development within these regions. Last, we highlight two candidate regions for SA selection in humans.
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spelling pubmed-89664692022-04-05 Detection of sexually antagonistic transmission distortions in trio datasets Lucotte, Elise A. Albiñana, Clara Laurent, Romain Bhérer, Claude Bataillon, Thomas Toupance, Bruno Evol Lett Letters Sexual dimorphisms are widespread in animals and plants, for morphological as well as physiological traits. Understanding the genetic basis of sexual dimorphism and its evolution is crucial for understanding biological differences between the sexes. Genetic variants with sex‐antagonistic effects on fitness are expected to segregate in populations at the early phases of sexual dimorphism emergence. Detecting such variants is notoriously difficult, and the few genome‐scan methods employed so far have limited power and little specificity. Here, we propose a new framework to detect a signature of sexually antagonistic (SA) selection. We rely on trio datasets where sex‐biased transmission distortions can be directly tracked from parents to offspring, and identify signals of SA transmission distortions in genomic regions. We report the genomic location of six candidate regions detected in human populations as potentially under sexually antagonist selection. We find an enrichment of genes associated with embryonic development within these regions. Last, we highlight two candidate regions for SA selection in humans. John Wiley and Sons Inc. 2022-01-28 /pmc/articles/PMC8966469/ /pubmed/35386833 http://dx.doi.org/10.1002/evl3.271 Text en © 2022 The Authors. Evolution Letters published by Wiley Periodicals LLC on behalf of Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEB). https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letters
Lucotte, Elise A.
Albiñana, Clara
Laurent, Romain
Bhérer, Claude
Bataillon, Thomas
Toupance, Bruno
Detection of sexually antagonistic transmission distortions in trio datasets
title Detection of sexually antagonistic transmission distortions in trio datasets
title_full Detection of sexually antagonistic transmission distortions in trio datasets
title_fullStr Detection of sexually antagonistic transmission distortions in trio datasets
title_full_unstemmed Detection of sexually antagonistic transmission distortions in trio datasets
title_short Detection of sexually antagonistic transmission distortions in trio datasets
title_sort detection of sexually antagonistic transmission distortions in trio datasets
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966469/
https://www.ncbi.nlm.nih.gov/pubmed/35386833
http://dx.doi.org/10.1002/evl3.271
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