The phenotypic gambit: selective pressures and ESS methodology in evolutionary game theory

Rubin, Hannah

doi:10.1007/s10539-016-9524-4

Cited by 20 publications

(17 citation statements)

References 28 publications

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“…Ignored causal influences range from molecular signaling pathways, to morphological structures, to nervous connections, to environmental context. Thus, the phenotypic gambit has significant limitations (Moore and Boake 1994;Golmulkiewicz 1998;Hadfield et al 2007;Rubin 2016), not the least of which is ignoring evolutionary dynamics on the way to an equilibrium (regardless of whether it is reached). It is perhaps ironic that behavior appears to be one of the least suited types of traits to study using this framework (Roff 1996;Fawcett et al 2013).…”

Section: Is Behavior Special?mentioning

confidence: 99%

Indirect genetic effects in behavioral ecology: does behavior play a special role in evolution?

2017

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Behavior is rapidly flexible and highly context-dependent, which poses obvious challenges to researchers attempting to dissect its causes. However, over a century of unresolved debate has also focused on whether the very flexibility and context-dependence of behavior lends it a unique role in the evolutionary origins and patterns of diversity in the Animal Kingdom. Here, we propose that both challenges can benefit from studying how indirect genetic effects (IGEs: the effects of genes expressed in one individual on traits in another individual) shape behavioral phenotypes. We provide a sketch of the theoretical framework that grounds IGEs in behavioral ecology research and focus on recent advances made from studies of IGEs in areas of behavioral ecology such as sexual selection, sexual conflict, social dominance, and parent-offspring interactions. There is mounting evidence that IGEs have important influences on behavioral phenotypes associated with these processes, such as sexual signals and preferences and behaviors which function to manipulate interacting partners. IGEs can also influence both responses to selection and selection itself, and considering IGEs refines evolutionary predictions and provides new perspectives on the origins of seemingly perplexing behavioral traits. A key unresolved question, but one that has dominated the behavioral sciences for over a century, is whether behavior is more likely than other types of traits to contribute to evolutionary change and diversification. We advocate taking advantage of an IGE approach to outline falsifiable hypotheses and a general methodology to rigorously test this frequently proposed, yet still contentious, special role of behavior in evolution.

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Section: Is Behavior Special?mentioning

confidence: 99%

Indirect genetic effects in behavioral ecology: does behavior play a special role in evolution?

2017

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“…Both of these problems have a shared cause; sensory drive relies on a phenotypic gambit approach to both trait and sensory system evolution. Such an approach assumes that evolution can create any phenotype and given “enough time” the model’s prediction will occur ( Rubin 2016 ). However, we now know that evolution can be constrained by molecular evolution both in the short term and over long periods of time ( Springer et al 2011 ).…”

Section: Light Detection By the Cone Cellsmentioning

confidence: 99%

Reviewing guppy color vision: integrating the molecular and physiological variation in visual tuning of a classic system for sensory drive

et al. 2018

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Sensory drive predicts coevolution of mate choice signals with the sensory systems detecting those signals. Guppies are a classic model for sensory drive as mate preferences based on coloration differ across individuals and populations. A large body of work has identified variation in color vision, yet we lack a direct tie between how such variation in color vision influences variation in color preference. Here we bring together studies that have investigated guppy vision over the past 40 years to: (1) highlight our current understanding of where variation occurs in the guppy color vision pathway and (2) suggest future avenues of research into sources of visual system variation that could influence guppy color preference. This will allow researchers to design careful studies that couple measures of color preference with measures of visual system variation from the same individual or population. Such studies will finally provide important answers as to what sets the direction and speed of mate preference evolution via sensory drive.

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“…The regression analyses presented in this study have shown that genetic correlation do not map directly to the phenotypic correlation, and overlooking genetic information (i.e. ) can qualitatively affect inferences (evolutionary, statistical, practical breeding outcomes) in ways a purely phenotypic approach cannot predict or explain (Rubin 2016, Kruuk et al 2008). Therefore, correspondences between phenotypic-based predictions on genetic outcomes are not robust for all plausible assumptions regarding the underlying genetics of traits (Hadfield et al 2007).…”

Section: Discussionmentioning

confidence: 76%

Coheritability and Coenvironmentability as Concepts for Partitioning the Phenotypic Correlation

Vásquez-Kool

2019

Preprint

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Central to the study of joint inheritance of quantitative traits is the determination of the degree of association between two phenotypic characters, and to quantify the relative contribution of shared genetic and environmental components influencing such relationship. One way to approach this problem builds on classical quantitative genetics theory, where the phenotypic correlation between two traits is modelled as the sum of a genetic component called the coheritability (hx,y), which reflects the degree of shared genetics influencing the phenotypic correlation, and an environmental component, namely the coenvironmentability (ex,y) that accounts for all other factors that exert influence on the observed trait-trait association. Here a mathematical and statistical framework is presented on the partition of the phenotypic correlation into these components. I describe visualization tools to analyze and ex,y concurrently, in the form of a three-dimensional (3DHER-plane) and a two-dimensional (2DHER-field) plots. A large data set of genetic parameter estimates (heritabilities, genetic and phenotypic correlations) was compiled from an extensive literature review, from which coheritability and coenvironmentability were derived, with the object to observe patterns of distribution, and tendency. Illustrative examples from a diverse set of published studies show the value of applying this partition to generate hypotheses proposing the differential contribution of shared genetics and shared environment to an observed phenotypic relationship between traits.

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The phenotypic gambit: selective pressures and ESS methodology in evolutionary game theory

Cited by 20 publications

References 28 publications

Indirect genetic effects in behavioral ecology: does behavior play a special role in evolution?

Indirect genetic effects in behavioral ecology: does behavior play a special role in evolution?

Reviewing guppy color vision: integrating the molecular and physiological variation in visual tuning of a classic system for sensory drive

Coheritability and Coenvironmentability as Concepts for Partitioning the Phenotypic Correlation

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