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Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity

In variable environments, phenotypic plasticity can increase fitness by providing tight environment‐phenotype matching. However, adaptive plasticity is expected to evolve only when the future selective environment can be predicted based on the prevailing conditions. That is, the juvenile environment...

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Autores principales: Halali, Sridhar, Saastamoinen, Marjo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798148/
https://www.ncbi.nlm.nih.gov/pubmed/36619708
http://dx.doi.org/10.1002/ece3.9662
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author Halali, Sridhar
Saastamoinen, Marjo
author_facet Halali, Sridhar
Saastamoinen, Marjo
author_sort Halali, Sridhar
collection PubMed
description In variable environments, phenotypic plasticity can increase fitness by providing tight environment‐phenotype matching. However, adaptive plasticity is expected to evolve only when the future selective environment can be predicted based on the prevailing conditions. That is, the juvenile environment should be predictive of the adult environment (within‐generation plasticity) or the parental environment should be predictive of the offspring environment (transgenerational plasticity). Moreover, the environmental predictability can also shape transient responses such as stress response in an adaptive direction. Here, we test links between environmental predictability and the evolution of adaptive plasticity by combining time series analyses and a common garden experiment using temperature as a stressor in a temperate butterfly (Melitaea cinxia). Time series analyses revealed that across season fluctuations in temperature over 48 years are overall predictable. However, within the growing season, temperature fluctuations showed high heterogeneity across years with low autocorrelations and the timing of temperature peaks were asynchronous. Most life‐history traits showed strong within‐generation plasticity for temperature and traits such as body size and growth rate broke the temperature‐size rule. Evidence for transgenerational plasticity, however, was weak and detected for only two traits each in an adaptive and non‐adaptive direction. We suggest that the low predictability of temperature fluctuations within the growing season likely disfavors the evolution of adaptive transgenerational plasticity but instead favors strong within‐generation plasticity.
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spelling pubmed-97981482023-01-05 Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity Halali, Sridhar Saastamoinen, Marjo Ecol Evol Research Articles In variable environments, phenotypic plasticity can increase fitness by providing tight environment‐phenotype matching. However, adaptive plasticity is expected to evolve only when the future selective environment can be predicted based on the prevailing conditions. That is, the juvenile environment should be predictive of the adult environment (within‐generation plasticity) or the parental environment should be predictive of the offspring environment (transgenerational plasticity). Moreover, the environmental predictability can also shape transient responses such as stress response in an adaptive direction. Here, we test links between environmental predictability and the evolution of adaptive plasticity by combining time series analyses and a common garden experiment using temperature as a stressor in a temperate butterfly (Melitaea cinxia). Time series analyses revealed that across season fluctuations in temperature over 48 years are overall predictable. However, within the growing season, temperature fluctuations showed high heterogeneity across years with low autocorrelations and the timing of temperature peaks were asynchronous. Most life‐history traits showed strong within‐generation plasticity for temperature and traits such as body size and growth rate broke the temperature‐size rule. Evidence for transgenerational plasticity, however, was weak and detected for only two traits each in an adaptive and non‐adaptive direction. We suggest that the low predictability of temperature fluctuations within the growing season likely disfavors the evolution of adaptive transgenerational plasticity but instead favors strong within‐generation plasticity. John Wiley and Sons Inc. 2022-12-29 /pmc/articles/PMC9798148/ /pubmed/36619708 http://dx.doi.org/10.1002/ece3.9662 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Halali, Sridhar
Saastamoinen, Marjo
Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
title Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
title_full Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
title_fullStr Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
title_full_unstemmed Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
title_short Exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
title_sort exploring links between climatic predictability and the evolution of within‐ and transgenerational plasticity
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798148/
https://www.ncbi.nlm.nih.gov/pubmed/36619708
http://dx.doi.org/10.1002/ece3.9662
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