Literature DB >> 29235104

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

Artur Rego-Costa1,2, Florence Débarre3, Luis-Miguel Chevin1.   

Abstract

Among the factors that may reduce the predictability of evolution, chaos, characterized by a strong dependence on initial conditions, has received much less attention than randomness due to genetic drift or environmental stochasticity. It was recently shown that chaos in phenotypic evolution arises commonly under frequency-dependent selection caused by competitive interactions mediated by many traits. This result has been used to argue that chaos should often make evolutionary dynamics unpredictable. However, populations also evolve largely in response to external changing environments, and such environmental forcing is likely to influence the outcome of evolution in systems prone to chaos. We investigate how a changing environment causing oscillations of an optimal phenotype interacts with the internal dynamics of an eco-evolutionary system that would be chaotic in a constant environment. We show that strong environmental forcing can improve the predictability of evolution by reducing the probability of chaos arising, and by dampening the magnitude of chaotic oscillations. In contrast, weak forcing can increase the probability of chaos, but it also causes evolutionary trajectories to track the environment more closely. Overall, our results indicate that, although chaos may occur in evolution, it does not necessarily undermine its predictability.
© 2017 The Author(s). Evolution © 2017 The Society for the Study of Evolution.

Entities:  

Keywords:  Adaptation to changing environments; chaotic dynamics; eco-evolutionary dynamics; predictability; repeatability

Mesh:

Year:  2018        PMID: 29235104      PMCID: PMC5958977          DOI: 10.1111/evo.13407

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


  39 in total

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Review 3.  A general multivariate extension of Fisher's geometrical model and the distribution of mutation fitness effects across species.

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Journal:  Evolution       Date:  2006-05       Impact factor: 3.694

Review 4.  Stochasticity in evolution.

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Review 5.  The ecological causes of evolution.

Authors:  Andrew D C MacColl
Journal:  Trends Ecol Evol       Date:  2011-07-18       Impact factor: 17.712

6.  Simple mathematical models with very complicated dynamics.

Authors:  R M May
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8.  Multiple fitness peaks on the adaptive landscape drive adaptive radiation in the wild.

Authors:  Christopher H Martin; Peter C Wainwright
Journal:  Science       Date:  2013-01-11       Impact factor: 47.728

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

Authors:  Matt J Michel; Luis-Miguel Chevin; Jason H Knouft
Journal:  Evolution       Date:  2014-02-23       Impact factor: 3.694

10.  Compensating for our load of mutations: freezing the meltdown of small populations.

Authors:  A Poon; S P Otto
Journal:  Evolution       Date:  2000-10       Impact factor: 3.694

View more
  2 in total

1.  Frequency dependence and the predictability of evolution in a changing environment.

Authors:  Luis-Miguel Chevin; Zachariah Gompert; Patrik Nosil
Journal:  Evol Lett       Date:  2021-12-20

Review 2.  Order Through Disorder: The Characteristic Variability of Systems.

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Journal:  Front Cell Dev Biol       Date:  2020-03-20
  2 in total

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