Literature DB >> 19821744

Demographic and genetic constraints on evolution.

Richard Gomulkiewicz1, David Houle.   

Abstract

Populations unable to evolve to selectively favored states are constrained. Genetic constraints occur when additive genetic variance in selectively favored directions is absent (absolute constraints) or present but small (quantitative constraints). Quantitative--unlike absolute--constraints are presumed surmountable given time. This ignores that a population might become extinct before reaching the favored state, in which case demography effectively converts a quantitative into an absolute constraint. Here, we derive criteria for predicting when such conversions occur. We model the demography and evolution of populations subject to optimizing selection that experience either a single shift or a constant change in the optimum. In the single-shift case, we consider whether a population can evolve significantly without declining or else declines temporarily while avoiding low sizes consistent with high extinction risk. We analyze when populations in constantly changing environments evolve sufficiently to ensure long-term growth. From these, we derive formulas for critical levels of genetic variability that define demography-caused absolute constraints. The formulas depend on estimable properties of fitness, population size, or environmental change rates. Each extends to selection on multivariate traits. Our criteria define the nearly null space of a population's G matrix, the set of multivariate directions effectively inaccessible to it via adaptive evolution.

Mesh:

Year:  2009        PMID: 19821744     DOI: 10.1086/645086

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  45 in total

1.  Theoretical perspectives on the statics and dynamics of species' borders in patchy environments.

Authors:  Robert D Holt; Michael Barfield
Journal:  Am Nat       Date:  2011-09-12       Impact factor: 3.926

2.  Why does allometry evolve so slowly?

Authors:  David Houle; Luke T Jones; Ryan Fortune; Jacqueline L Sztepanacz
Journal:  Integr Comp Biol       Date:  2019-11-01       Impact factor: 3.326

3.  Quantifying maladaptation during the evolution of sexual dimorphism.

Authors:  Genevieve Matthews; Sandra Hangartner; David G Chapple; Tim Connallon
Journal:  Proc Biol Sci       Date:  2019-08-14       Impact factor: 5.349

4.  Accounting for Sampling Error in Genetic Eigenvalues Using Random Matrix Theory.

Authors:  Jacqueline L Sztepanacz; Mark W Blows
Journal:  Genetics       Date:  2017-05-05       Impact factor: 4.562

5.  Phenotypic lag and population extinction in the moving-optimum model: insights from a small-jumps limit.

Authors:  Michael Kopp; Elma Nassar; Etienne Pardoux
Journal:  J Math Biol       Date:  2018-07-06       Impact factor: 2.259

Review 6.  Phenotypic plasticity in evolutionary rescue experiments.

Authors:  Luis-Miguel Chevin; Romain Gallet; Richard Gomulkiewicz; Robert D Holt; Simon Fellous
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

Review 7.  Evolutionary rescue and the limits of adaptation.

Authors:  Graham Bell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

Review 8.  Evolutionary rescue beyond the models.

Authors:  Richard Gomulkiewicz; Ruth G Shaw
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

9.  Adaptation, plasticity, and extinction in a changing environment: towards a predictive theory.

Authors:  Luis-Miguel Chevin; Russell Lande; Georgina M Mace
Journal:  PLoS Biol       Date:  2010-04-27       Impact factor: 8.029

10.  Within- and among-population variation in chytridiomycosis-induced mortality in the toad Alytes obstetricans.

Authors:  Ursina Tobler; Benedikt R Schmidt
Journal:  PLoS One       Date:  2010-06-02       Impact factor: 3.240

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