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Disentangling the causes of temporal variation in the opportunity for sexual selection
In principle, temporal fluctuations in the potential for sexual selection can be estimated as changes in intrasexual variance in reproductive success (i.e. the opportunity for selection). However, we know little about how opportunity measures vary over time, and the extent to which such dynamics are...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947164/ https://www.ncbi.nlm.nih.gov/pubmed/36813810 http://dx.doi.org/10.1038/s41467-023-36536-7 |
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author | Carleial, Rômulo Pizzari, Tommaso Richardson, David S. McDonald, Grant C. |
author_facet | Carleial, Rômulo Pizzari, Tommaso Richardson, David S. McDonald, Grant C. |
author_sort | Carleial, Rômulo |
collection | PubMed |
description | In principle, temporal fluctuations in the potential for sexual selection can be estimated as changes in intrasexual variance in reproductive success (i.e. the opportunity for selection). However, we know little about how opportunity measures vary over time, and the extent to which such dynamics are affected by stochasticity. We use published mating data from multiple species to investigate temporal variation in the opportunity for sexual selection. First, we show that the opportunity for precopulatory sexual selection typically declines over successive days in both sexes and shorter sampling periods lead to substantial overestimates. Second, by utilising randomised null models, we also find that these dynamics are largely explained by an accumulation of random matings, but that intrasexual competition may slow temporal declines. Third, using data from a red junglefowl (Gallus gallus) population, we show that declines in precopulatory measures over a breeding period were mirrored by declines in the opportunity for both postcopulatory and total sexual selection. Collectively, we show that variance-based metrics of selection change rapidly, are highly sensitive to sampling durations, and likely lead to substantial misinterpretation if used as indicators of sexual selection. However, simulations can begin to disentangle stochastic variation from biological mechanisms. |
format | Online Article Text |
id | pubmed-9947164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99471642023-02-24 Disentangling the causes of temporal variation in the opportunity for sexual selection Carleial, Rômulo Pizzari, Tommaso Richardson, David S. McDonald, Grant C. Nat Commun Article In principle, temporal fluctuations in the potential for sexual selection can be estimated as changes in intrasexual variance in reproductive success (i.e. the opportunity for selection). However, we know little about how opportunity measures vary over time, and the extent to which such dynamics are affected by stochasticity. We use published mating data from multiple species to investigate temporal variation in the opportunity for sexual selection. First, we show that the opportunity for precopulatory sexual selection typically declines over successive days in both sexes and shorter sampling periods lead to substantial overestimates. Second, by utilising randomised null models, we also find that these dynamics are largely explained by an accumulation of random matings, but that intrasexual competition may slow temporal declines. Third, using data from a red junglefowl (Gallus gallus) population, we show that declines in precopulatory measures over a breeding period were mirrored by declines in the opportunity for both postcopulatory and total sexual selection. Collectively, we show that variance-based metrics of selection change rapidly, are highly sensitive to sampling durations, and likely lead to substantial misinterpretation if used as indicators of sexual selection. However, simulations can begin to disentangle stochastic variation from biological mechanisms. Nature Publishing Group UK 2023-02-22 /pmc/articles/PMC9947164/ /pubmed/36813810 http://dx.doi.org/10.1038/s41467-023-36536-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Carleial, Rômulo Pizzari, Tommaso Richardson, David S. McDonald, Grant C. Disentangling the causes of temporal variation in the opportunity for sexual selection |
title | Disentangling the causes of temporal variation in the opportunity for sexual selection |
title_full | Disentangling the causes of temporal variation in the opportunity for sexual selection |
title_fullStr | Disentangling the causes of temporal variation in the opportunity for sexual selection |
title_full_unstemmed | Disentangling the causes of temporal variation in the opportunity for sexual selection |
title_short | Disentangling the causes of temporal variation in the opportunity for sexual selection |
title_sort | disentangling the causes of temporal variation in the opportunity for sexual selection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947164/ https://www.ncbi.nlm.nih.gov/pubmed/36813810 http://dx.doi.org/10.1038/s41467-023-36536-7 |
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