Environment rather than character displacement explains call evolution in glassfrogs.

Centrolenidae adaptation advertisement calls bioacoustics community phylogenetics trait evolution

Journal

Evolution; international journal of organic evolution
ISSN: 1558-5646
Titre abrégé: Evolution
Pays: United States
ID NLM: 0373224

Informations de publication

Date de publication:
04 02 2023
Historique:
received: 28 10 2020
revised: 08 11 2022
accepted: 22 11 2022
pubmed: 9 1 2023
medline: 8 2 2023
entrez: 8 1 2023
Statut: ppublish

Résumé

The acoustic adaptation hypothesis (AAH) and ecological character displacement (ECD) are two potential mechanisms shaping call evolution that can predict opposite trends for the differentiation of signals. Under AAH, signals evolve to minimize environmental degradation and maximize detection against background noise, predicting call homogenization in similar habitats due to environmental constraints on signals. In contrast, ECD predicts greater differences in call traits of closely related taxa in sympatry because of selection against acoustic interference. We used comparative phylogenetic analyses to test the strength of these two selective mechanisms on the evolution of advertisement calls in glassfrogs, a highly diverse family of neotropical anurans. We found that, overall, acoustic adaptation to the environment may outweigh effects of species interactions. As expected under the AAH, temporal call parameters are correlated with vegetation density, but spectral call parameters had an unexpected inverse correlation with vegetation density, as well as an unexpected correlation with temperature. We detected call convergence among co-occurring species and also across multiple populations from the same species in different glassfrogs communities. Our results indicate that call convergence is common in glassfrogs, likely due to habitat filtering, while character displacement is relatively rare, suggesting that costs of signal similarity among related species may not drive divergent selection in all systems.

Identifiants

pubmed: 36611281
pii: 6881552
doi: 10.1093/evolut/qpac041
doi:

Banques de données

Dryad
['10.5061/dryad.c2fqz61cp']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

355-369

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of The Society for the Study of Evolution (SSE). All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Angela M Mendoza-Henao (AM)

Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Posgrado en Ciencias Biológicas, Unidad de Posgrado, Ciudad Universitaria, Mexico City, Mexico.
Colecciones Biológicas, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Boyacá, Colombia.

Kelly R Zamudio (KR)

Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, United States.
Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, United States.

Juan M Guayasamin (JM)

Universidad San Francisco de Quito, Instituto Biósfera, Colegio de Ciencias Biológicas y Ambientales, Laboratorio de Biología Evolutiva, Quito, Ecuador.
Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Moisés Escalona (M)

Laboratório de Sistemática de Vertebrados, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brasil.

Gabriela Parra-Olea (G)

Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Mexico City, Mexico.

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Classifications MeSH