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Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time

Sexual selection by mate choice is a powerful force that can lead to evolutionary change, and models of why females choose particular mates are central to understanding its effects. Predominant mate choice theories assume preferences are determined solely by genetic inheritance, an assumption still...

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Detalles Bibliográficos
Autores principales: DuVal, Emily H., Fitzpatrick, Courtney L., Hobson, Elizabeth A., Servedio, Maria R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547189/
https://www.ncbi.nlm.nih.gov/pubmed/37788233
http://dx.doi.org/10.1371/journal.pbio.3002269
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author DuVal, Emily H.
Fitzpatrick, Courtney L.
Hobson, Elizabeth A.
Servedio, Maria R.
author_facet DuVal, Emily H.
Fitzpatrick, Courtney L.
Hobson, Elizabeth A.
Servedio, Maria R.
author_sort DuVal, Emily H.
collection PubMed
description Sexual selection by mate choice is a powerful force that can lead to evolutionary change, and models of why females choose particular mates are central to understanding its effects. Predominant mate choice theories assume preferences are determined solely by genetic inheritance, an assumption still lacking widespread support. Moreover, preferences often vary among individuals or populations, fail to correspond with conspicuous male traits, or change with context, patterns not predicted by dominant models. Here, we propose a new model that explains this mate choice complexity with one general hypothesized mechanism, “Inferred Attractiveness.” In this model, females acquire mating preferences by observing others’ choices and use context-dependent information to infer which traits are attractive. They learn to prefer the feature of a chosen male that most distinguishes him from other available males. Over generations, this process produces repeated population-level switches in preference and maintains male trait variation. When viability selection is strong, Inferred Attractiveness produces population-wide adaptive preferences superficially resembling “good genes.” However, it results in widespread preference variation or nonadaptive preferences under other predictable circumstances. By casting the female brain as the central selective agent, Inferred Attractiveness captures novel and dynamic aspects of sexual selection and reconciles inconsistencies between mate choice theory and observed behavior.
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spelling pubmed-105471892023-10-04 Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time DuVal, Emily H. Fitzpatrick, Courtney L. Hobson, Elizabeth A. Servedio, Maria R. PLoS Biol Research Article Sexual selection by mate choice is a powerful force that can lead to evolutionary change, and models of why females choose particular mates are central to understanding its effects. Predominant mate choice theories assume preferences are determined solely by genetic inheritance, an assumption still lacking widespread support. Moreover, preferences often vary among individuals or populations, fail to correspond with conspicuous male traits, or change with context, patterns not predicted by dominant models. Here, we propose a new model that explains this mate choice complexity with one general hypothesized mechanism, “Inferred Attractiveness.” In this model, females acquire mating preferences by observing others’ choices and use context-dependent information to infer which traits are attractive. They learn to prefer the feature of a chosen male that most distinguishes him from other available males. Over generations, this process produces repeated population-level switches in preference and maintains male trait variation. When viability selection is strong, Inferred Attractiveness produces population-wide adaptive preferences superficially resembling “good genes.” However, it results in widespread preference variation or nonadaptive preferences under other predictable circumstances. By casting the female brain as the central selective agent, Inferred Attractiveness captures novel and dynamic aspects of sexual selection and reconciles inconsistencies between mate choice theory and observed behavior. Public Library of Science 2023-10-03 /pmc/articles/PMC10547189/ /pubmed/37788233 http://dx.doi.org/10.1371/journal.pbio.3002269 Text en © 2023 DuVal et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
DuVal, Emily H.
Fitzpatrick, Courtney L.
Hobson, Elizabeth A.
Servedio, Maria R.
Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
title Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
title_full Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
title_fullStr Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
title_full_unstemmed Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
title_short Inferred Attractiveness: A generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
title_sort inferred attractiveness: a generalized mechanism for sexual selection that can maintain variation in traits and preferences over time
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547189/
https://www.ncbi.nlm.nih.gov/pubmed/37788233
http://dx.doi.org/10.1371/journal.pbio.3002269
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