Literature DB >> 24475940

Evolution of phenotype-environment associations by genetic responses to selection and phenotypic plasticity in a temporally autocorrelated environment.

Matt J Michel1, Luis-Miguel Chevin, Jason H Knouft.   

Abstract

Covariation between population-mean phenotypes and environmental variables, sometimes termed a "phenotype-environment association" (PEA), can result from phenotypic plasticity, genetic responses to natural selection, or both. PEAs can potentially provide information on the evolutionary dynamics of a particular set of populations, but this requires a full theoretical characterization of PEAs and their evolution. Here, we derive formulas for the expected PEA in a temporally fluctuating environment for a quantitative trait with a linear reaction norm. We compare several biologically relevant scenarios, including constant versus evolving plasticity, and the situation in which an environment affects both development and selection but at different time periods. We find that PEAs are determined not only by biological factors (e.g., magnitude of plasticity, genetic variation), but also environmental factors, such as the association between the environments of development and of selection, and in some cases the level of temporal autocorrelation. We also describe how a PEA can be used to estimate the relationship between an optimum phenotype and an environmental variable (i.e., the environmental sensitivity of selection), an important parameter for determining the extinction risk of populations experiencing environmental change. We illustrate this ability using published data on the predator-induced morphological responses of tadpoles to predation risk.
© 2014 The Author(s). Evolution © 2014 The Society for the Study of Evolution.

Entities:  

Keywords:  Computer simulation; environmental change; environmental predictability; environmental sensitivity of selection; linear reaction norms; quantitative genetics model

Mesh:

Year:  2014        PMID: 24475940     DOI: 10.1111/evo.12371

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  5 in total

1.  Selective Sweep at a QTL in a Randomly Fluctuating Environment.

Authors:  Luis-Miguel Chevin
Journal:  Genetics       Date:  2019-09-16       Impact factor: 4.562

2.  Chaos and the (un)predictability of evolution in a changing environment.

Authors:  Artur Rego-Costa; Florence Débarre; Luis-Miguel Chevin
Journal:  Evolution       Date:  2018-01-10       Impact factor: 3.694

3.  Stochastic Evolutionary Demography under a Fluctuating Optimum Phenotype.

Authors:  Luis-Miguel Chevin; Olivier Cotto; Jaime Ashander
Journal:  Am Nat       Date:  2017-09-27       Impact factor: 3.926

4.  Predicting evolutionary rescue via evolving plasticity in stochastic environments.

Authors:  Jaime Ashander; Luis-Miguel Chevin; Marissa L Baskett
Journal:  Proc Biol Sci       Date:  2016-09-28       Impact factor: 5.349

5.  Where is the optimum? Predicting the variation of selection along climatic gradients and the adaptive value of plasticity. A case study on tree phenology.

Authors:  Julie Gauzere; Bertrand Teuf; Hendrik Davi; Luis-Miguel Chevin; Thomas Caignard; Bérangère Leys; Sylvain Delzon; Ophélie Ronce; Isabelle Chuine
Journal:  Evol Lett       Date:  2020-03-10
  5 in total

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