Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsai, Hsiang-Yu, Rubenstein, Dustin R., Fan, Yu-Meng, Yuan, Tzu-Neng, Chen, Bo-Fei, Tang, Yezhong, Chen, I-Ching, Shen, Sheng-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
_version_ 1783505880212307968
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
work_keys_str_mv AT tsaihsiangyu locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT rubensteindustinr locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT fanyumeng locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT yuantzuneng locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT chenbofei locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT tangyezhong locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT cheniching locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles
AT shenshengfeng locallyadaptedreproductivephotoperiodismdeterminespopulationvulnerabilitytoclimatechangeinburyingbeetles