MALADAPTATION AS A SOURCE OF SENESCENCE IN HABITATS VARIABLE IN SPACE AND TIME

In this study, we use a quantitative genetics model of structured populations to investigate the evolution of senescence in a variable environment. Adaptation to local environments depends on phenotypic traits whose optimal values vary with age and with environmental conditions. We study different s...

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Bibliographic Details
Published inEvolution Vol. 68; no. 9; pp. 2481 - 2493
Main Authors Cotto, Olivier, Ronce, Ophélie
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.09.2014
Wiley Subscription Services, Inc
Oxford University Press
Wiley
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Summary:In this study, we use a quantitative genetics model of structured populations to investigate the evolution of senescence in a variable environment. Adaptation to local environments depends on phenotypic traits whose optimal values vary with age and with environmental conditions. We study different scenarios of environmental heterogeneity, where the environment changes abruptly, gradually, or cyclically with time and where the environment is heterogeneous in space with different populations connected by migration. The strength of selection decreases with age, which predicts slower adaptation of traits expressed late in the life cycle, potentially generating stronger senescence in habitats where selection changes in space or in time. This prediction is however complicated by the fact that the genetic variance also increases with age. Using numerical calculations, we found that the rate of senescence is generally increased when the environment varies. In particular, migration between different habitats is a source of senescence in heterogeneous landscapes. We also show that the rate of senescence can vary transiently when the population is not at equilibrium, with possible implications for experimental evolution and the study of invasive species. Our results highlight the need to study age-specific adaptation, as a changing environment can have a different impact on different age classes.
Bibliography:ark:/67375/WNG-2BPZLH72-4
istex:B25A2806D03BDEDA4538429CDF9A371BF4A89C6D
ArticleID:EVO12462
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0014-3820
1558-5646
DOI:10.1111/evo.12462