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Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles
Understanding how phenotypic traits vary among populations inhabiting different environments is critical for predicting a species’ vulnerability to climate change. Yet, little is known about the key functional traits that determine the distribution of populations and the main mechanisms—phenotypic p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069978/ https://www.ncbi.nlm.nih.gov/pubmed/32170152 http://dx.doi.org/10.1038/s41467-020-15208-w |
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author | Tsai, Hsiang-Yu Rubenstein, Dustin R. Fan, Yu-Meng Yuan, Tzu-Neng Chen, Bo-Fei Tang, Yezhong Chen, I-Ching Shen, Sheng-Feng |
author_facet | Tsai, Hsiang-Yu Rubenstein, Dustin R. Fan, Yu-Meng Yuan, Tzu-Neng Chen, Bo-Fei Tang, Yezhong Chen, I-Ching Shen, Sheng-Feng |
author_sort | Tsai, Hsiang-Yu |
collection | PubMed |
description | Understanding how phenotypic traits vary among populations inhabiting different environments is critical for predicting a species’ vulnerability to climate change. Yet, little is known about the key functional traits that determine the distribution of populations and the main mechanisms—phenotypic plasticity vs. local adaptation—underlying intraspecific functional trait variation. Using the Asian burying beetle Nicrophorus nepalensis, we demonstrate that mountain ranges differing in elevation and latitude offer unique thermal environments in which two functional traits—thermal tolerance and reproductive photoperiodism—interact to shape breeding phenology. We show that populations on different mountain ranges maintain similar thermal tolerances, but differ in reproductive photoperiodism. Through common garden and reciprocal transplant experiments, we confirm that reproductive photoperiodism is locally adapted and not phenotypically plastic. Accordingly, year-round breeding populations on mountains of intermediate elevation are likely to be most susceptible to future warming because maladaptation occurs when beetles try to breed at warmer temperatures. |
format | Online Article Text |
id | pubmed-7069978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70699782020-03-18 Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles Tsai, Hsiang-Yu Rubenstein, Dustin R. Fan, Yu-Meng Yuan, Tzu-Neng Chen, Bo-Fei Tang, Yezhong Chen, I-Ching Shen, Sheng-Feng Nat Commun Article Understanding how phenotypic traits vary among populations inhabiting different environments is critical for predicting a species’ vulnerability to climate change. Yet, little is known about the key functional traits that determine the distribution of populations and the main mechanisms—phenotypic plasticity vs. local adaptation—underlying intraspecific functional trait variation. Using the Asian burying beetle Nicrophorus nepalensis, we demonstrate that mountain ranges differing in elevation and latitude offer unique thermal environments in which two functional traits—thermal tolerance and reproductive photoperiodism—interact to shape breeding phenology. We show that populations on different mountain ranges maintain similar thermal tolerances, but differ in reproductive photoperiodism. Through common garden and reciprocal transplant experiments, we confirm that reproductive photoperiodism is locally adapted and not phenotypically plastic. Accordingly, year-round breeding populations on mountains of intermediate elevation are likely to be most susceptible to future warming because maladaptation occurs when beetles try to breed at warmer temperatures. Nature Publishing Group UK 2020-03-13 /pmc/articles/PMC7069978/ /pubmed/32170152 http://dx.doi.org/10.1038/s41467-020-15208-w Text en © The Author(s) 2020 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/. |
spellingShingle | Article Tsai, Hsiang-Yu Rubenstein, Dustin R. Fan, Yu-Meng Yuan, Tzu-Neng Chen, Bo-Fei Tang, Yezhong Chen, I-Ching Shen, Sheng-Feng Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
title | Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
title_full | Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
title_fullStr | Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
title_full_unstemmed | Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
title_short | Locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
title_sort | locally-adapted reproductive photoperiodism determines population vulnerability to climate change in burying beetles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069978/ https://www.ncbi.nlm.nih.gov/pubmed/32170152 http://dx.doi.org/10.1038/s41467-020-15208-w |
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