2013
DOI: 10.1038/hdy.2013.33
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The evolution of quantitative traits in complex environments

Abstract: Species inhabit complex environments and respond to selection imposed by numerous abiotic and biotic conditions that vary in both space and time. Environmental heterogeneity strongly influences trait evolution and patterns of adaptive population differentiation. For example, heterogeneity can favor local adaptation, or can promote the evolution of plastic genotypes that alter their phenotypes based on the conditions they encounter. Different abiotic and biotic agents of selection can act synergistically to eit… Show more

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Cited by 92 publications
(94 citation statements)
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“…Consequently, differences in patterns of G Â E variation will influence the ability of populations to evolve new adaptive responses following introduction or in situ environmental challenges. In addition, a better understanding of the genetic architectures underlying reaction norms, such as the effects of modularity versus pleiotropy of regulatory pathways [118], will better inform models of constraint on plasticity evolution in natural populations [67,119].…”
Section: (B) Plasticity and Evolutionary Potentialmentioning
confidence: 99%
“…Consequently, differences in patterns of G Â E variation will influence the ability of populations to evolve new adaptive responses following introduction or in situ environmental challenges. In addition, a better understanding of the genetic architectures underlying reaction norms, such as the effects of modularity versus pleiotropy of regulatory pathways [118], will better inform models of constraint on plasticity evolution in natural populations [67,119].…”
Section: (B) Plasticity and Evolutionary Potentialmentioning
confidence: 99%
“…Much of that descriptive information, in the context of plant breeding, has been founded on the work by Finlay and Wilkinson (1963) and modified by others (Eberhart and Russell, 1966) which qualified G ´ E based on the slope of the regression of the performance of particular genotypes across an environmental gradient. The most basic controlled environment evaluations which by design are expected to provide an overestimation of the variation compared to that found in natural conditions (Anderson et al, 2014). Thus meaningful assessments of G ´ E require long term research as responses are expected to vary significantly from year to year (Agren and Schemske, 2012).…”
Section: Definition and Importance Of G ´ Ementioning
confidence: 99%
“…Importantly, regulatory divergence is generally dynamic, potentially exposing phenotypes to natural selection differentially across time and environmental conditions. Biological responses to selection depend heavily on the environmental context, with regard to biotic and abiotic conditions that can act individually or synergistically to either accelerate or constrain trait evolution (Anderson, Wagner, Rushworth, Prasad, & Mitchell‐Olds, 2014). Understanding the extent and timescale of the interactions between different molecular levels in response to the plethora of characteristics of complex environments is a primary goal of evolutionary biology.…”
Section: Introductionmentioning
confidence: 99%