open access publication

Article, 2022

Detection of sexually antagonistic transmission distortions in trio datasets

Evolution Letters, ISSN 2056-3744, Volume 6, 2, Pages 203-216, 10.1002/evl3.271

Contributors

Lucotte, Elise Anne 0000-0001-8442-2654 (Corresponding author) [1] [2] [3] [4] Albiñana, Clara Climent 0000-0002-3166-4120 [3] Laurent, Romain 0000-0003-0363-2954 [4] Bhérer, Claude 0000-0002-2744-7246 [5] Bataillon, Thomas Martin Jean 0000-0002-4730-2538 [3] Toupance, Bruno 0000-0002-8244-1824 [4]

Affiliations

  1. [1] Centre for Research in Epidemiology and Population Health
  2. [NORA names: France; Europe, EU; OECD];
  3. [2] Écologie, Systématique et Évolution
  4. [NORA names: France; Europe, EU; OECD];
  5. [3] Aarhus University
  6. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Éco-Anthropologie
  8. [NORA names: France; Europe, EU; OECD];
  9. [5] McGill University
  10. [NORA names: Canada; America, North; OECD]

Abstract

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.

Keywords

SA selection, animals, antagonistic selection, basis, biological differences, dataset, detect such variants, detection, development, differences, dimorphism, distortion, early phase, effect, embryonic development, emergency, evolution, fitness, framework, genes, genes associated with embryonic development, genetic basis, genetic variants, genome-scan methods, genomic locations, genomic regions, human population, humans, location, method, offspring, parents, physiological traits, plants, population, power, region, selection, sex, sex-antagonistic effects, sexual dimorphism, sexuality, sexually antagonistic selection, signal, signature, specificity, traits, transmission distortion, trio dataset, trios, variants

Funders

  • Danish Agency for Science and Higher Education
  • European Research Council
  • Dutch Research Council
  • Ministry of Higher Education and Research

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