Literature DB >> 16011915

Environmental quality and evolutionary potential: lessons from wild populations.

Anne Charmantier1, Dany Garant.   

Abstract

An essential requirement to determine a population's potential for evolutionary change is to quantify the amount of genetic variability expressed for traits under selection. Early investigations in laboratory conditions showed that the magnitude of the genetic and environmental components of phenotypic variation can change with environmental conditions. However, there is no consensus as to how the expression of genetic variation is sensitive to different environmental conditions. Recently, the study of quantitative genetics in the wild has been revitalized by new pedigree analyses based on restricted maximum likelihood, resulting in a number of studies investigating these questions in wild populations. Experimental manipulation of environmental quality in the wild, as well as the use of naturally occurring favourable or stressful environments, has broadened the treatment of different taxa and traits. Here, we conduct a meta-analysis on recent studies comparing heritability in favourable versus unfavourable conditions in non-domestic and non-laboratory animals. The results provide evidence for increased heritability in more favourable conditions, significantly so for morphometric traits but not for traits more closely related to fitness. We discuss how these results are explained by underlying changes in variance components, and how they represent a major step in our understanding of evolutionary processes in wild populations. We also show how these trends contrast with the prevailing view resulting mainly from laboratory experiments on Drosophila. Finally, we underline the importance of taking into account the environmental variation in models predicting quantitative trait evolution.

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Year:  2005        PMID: 16011915      PMCID: PMC1559820          DOI: 10.1098/rspb.2005.3117

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  50 in total

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3.  Effects of stress combinations on the expression of additive genetic variation for fecundity in Drosophila melanogaster.

Authors:  C M Sgrò; A A Hoffmann
Journal:  Genet Res       Date:  1998-08       Impact factor: 1.588

4.  Geographic variation in acid stress tolerance of the moor frog, Rana arvalis. II. Adaptive maternal effects.

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Journal:  Evolution       Date:  2003-02       Impact factor: 3.694

5.  Natural selection and inheritance of breeding time and clutch size in the collared flycatcher.

Authors:  B C Sheldon; L E B Kruuk; J Merilä
Journal:  Evolution       Date:  2003-02       Impact factor: 3.694

6.  Selection for increased desiccation resistance in Drosophila melanogaster: additive genetic control and correlated responses for other stresses.

Authors:  A A Hoffmann; P A Parsons
Journal:  Genetics       Date:  1989-08       Impact factor: 4.562

7.  Laboratory estimates of heritabilities and genetic correlations in nature.

Authors:  B Riska; T Prout; M Turelli
Journal:  Genetics       Date:  1989-12       Impact factor: 4.562

Review 8.  Natural selection and the heritability of fitness components.

Authors:  T A Mousseau; D A Roff
Journal:  Heredity (Edinb)       Date:  1987-10       Impact factor: 3.821

9.  Positive genetic correlation between parasite resistance and body size in a free-living ungulate population.

Authors:  D W Coltman; J Pilkington; L E Kruuk; K Wilson; J M Pemberton
Journal:  Evolution       Date:  2001-10       Impact factor: 3.694

10.  Environment-dependent reversal of a life history trade-off in the seed beetle Callosobruchus maculatus.

Authors:  F J Messina; J D Fry
Journal:  J Evol Biol       Date:  2003-05       Impact factor: 2.411

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  121 in total

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Journal:  Genetics       Date:  2010-09-13       Impact factor: 4.562

2.  Evolution of quantitative traits in the wild: mind the ecology.

Authors:  Josephine M Pemberton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-27       Impact factor: 6.237

3.  Intraspecific genetic variation and competition interact to influence niche expansion.

Authors:  Deepa Agashe; Daniel I Bolnick
Journal:  Proc Biol Sci       Date:  2010-05-12       Impact factor: 5.349

4.  Diet and hormonal manipulation reveal cryptic genetic variation: implications for the evolution of novel feeding strategies.

Authors:  Cris C Ledón-Rettig; David W Pfennig; Erica J Crespi
Journal:  Proc Biol Sci       Date:  2010-06-23       Impact factor: 5.349

Review 5.  Developmental perspectives on personality: implications for ecological and evolutionary studies of individual differences.

Authors:  Judy A Stamps; Ton G G Groothuis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-27       Impact factor: 6.237

6.  The adaptive potential of a plant pathogenic fungus, Rhizoctonia solani AG-3, under heat and fungicide stress.

Authors:  Yvonne Willi; Aline Frank; Renate Heinzelmann; Andrea Kälin; Lena Spalinger; Paulo C Ceresini
Journal:  Genetica       Date:  2011-07-13       Impact factor: 1.082

Review 7.  Mate choice for genetic quality when environments vary: suggestions for empirical progress.

Authors:  Luc F Bussière; John Hunt; Kai N Stölting; Michael D Jennions; Robert Brooks
Journal:  Genetica       Date:  2007-11-07       Impact factor: 1.082

8.  The contribution of genetics and early rearing experiences to hierarchical personality dimensions in chimpanzees (Pan troglodytes).

Authors:  Robert D Latzman; Hani D Freeman; Steven J Schapiro; William D Hopkins
Journal:  J Pers Soc Psychol       Date:  2015-04-27

9.  Inheritance of nesting behaviour across natural environmental variation in a turtle with temperature-dependent sex determination.

Authors:  Suzanne E McGaugh; Lisa E Schwanz; Rachel M Bowden; Julie E Gonzalez; Fredric J Janzen
Journal:  Proc Biol Sci       Date:  2009-12-16       Impact factor: 5.349

10.  The effects of resource availability and the demographic transition on the genetic correlation between number of children and grandchildren in humans.

Authors:  E Bolund; V Lummaa
Journal:  Heredity (Edinb)       Date:  2016-09-14       Impact factor: 3.821

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