A Quantitative Genetic Perspective on Adaptive Evolution

1987 ◽  
pp. 3-23 ◽  
Author(s):  
J. S. F. Barker ◽  
R. H. Thomas
Keyword(s):  
Adaptive Evolution ◽  
Quantitative Genetic

scholarly journals Hormone-mediated suites as adaptations and evolutionary constraints

2007 ◽  
Vol 363 (1497) ◽  
pp. 1611-1620 ◽  
Author(s):  
Joel W McGlothlin ◽  
Ellen D Ketterson
Keyword(s):  
Natural Selection ◽  
Adaptive Evolution ◽  
Evolutionary Constraints ◽  
Empirical Methods ◽  
Dual Roles ◽  
Genetic Theory ◽  
Correlated Traits ◽  
Male And Female ◽  
Quantitative Genetic ◽  
Future Work

Hormones mediate the expression of suites of correlated traits and hence may act both to facilitate and constrain adaptive evolution. Selection on one trait within a hormone-mediated suite may, for example, lead to a change in the strength of the hormone signal, causing either beneficial or detrimental changes in correlated traits. Theory and empirical methods for studying correlated trait evolution have been developed by the field of evolutionary quantitative genetics, and here we suggest that their application to the study of hormone-mediated suites may prove fruitful. We present hypotheses for how selection shapes the evolution of hormone-mediated suites and argue that correlational selection, which arises when traits interact in their effects on fitness, may act to alter or conserve the composition of hormone-mediated suites. Next, we advocate using quantitative genetic methods to assess natural covariation among hormone-mediated traits and to measure the strength of natural selection acting on them. Finally, we present illustrative examples from our own work on the evolution of testosterone-mediated suites in male and female dark-eyed juncos. We conclude that future work on hormone-mediated suites, if motivated by quantitative genetic theory, may provide important insights into their dual roles as adaptations and evolutionary constraints.

scholarly journals Phenotypic plasticity and adaptive evolution contribute to advancing flowering phenology in response to climate change

2012 ◽  
Vol 279 (1743) ◽  
pp. 3843-3852 ◽  
Author(s):  
Jill T. Anderson ◽  
David W. Inouye ◽  
Amy M. McKinney ◽  
Robert I. Colautti ◽  
Tom Mitchell-Olds
Keyword(s):  
Climate Change ◽  
Phenotypic Plasticity ◽  
Adaptive Evolution ◽  
Field Experiments ◽  
Flowering Phenology ◽  
Directional Selection ◽  
Major Life ◽  
Quantitative Genetic ◽  
Evolutionary Response

Anthropogenic climate change has already altered the timing of major life-history transitions, such as the initiation of reproduction. Both phenotypic plasticity and adaptive evolution can underlie rapid phenological shifts in response to climate change, but their relative contributions are poorly understood. Here, we combine a continuous 38 year field survey with quantitative genetic field experiments to assess adaptation in the context of climate change. We focused on Boechera stricta (Brassicaeae), a mustard native to the US Rocky Mountains. Flowering phenology advanced significantly from 1973 to 2011, and was strongly associated with warmer temperatures and earlier snowmelt dates. Strong directional selection favoured earlier flowering in contemporary environments (2010–2011). Climate change could drive this directional selection, and promote even earlier flowering as temperatures continue to increase. Our quantitative genetic analyses predict a response to selection of 0.2 to 0.5 days acceleration in flowering per generation, which could account for more than 20 per cent of the phenological change observed in the long-term dataset. However, the strength of directional selection and the predicted evolutionary response are likely much greater now than even 30 years ago because of rapidly changing climatic conditions. We predict that adaptation will likely be necessary for long-term in situ persistence in the context of climate change.

scholarly journals Modeling Adaptive and Non-adaptive Responses of Populations to Environmental Change

2016 ◽  
Author(s):  
Tim Coulson ◽  
Bruce E Kendall ◽  
Julia Barthold ◽  
Floriane Plard ◽  
Susanne Schindler ◽  
...  
Keyword(s):  
Environmental Change ◽  
Adaptive Evolution ◽  
Population Level ◽  
Natural World ◽  
Data Driven ◽  
Adaptive Responses ◽  
Short Term ◽  
Population Responses ◽  
Quantitative Genetic ◽  
Plastic Responses

AbstractUnderstanding how the natural world will be impacted by environmental change over the coming decades is one of the most pressing challenges facing humanity. Addressing this challenge is difficult because environmental change can generate both population level plastic and evolutionary responses, with plastic responses being either adaptive or non-adaptive. We develop an approach that links quantitative genetic theory with data-driven structured models to allow prediction of population responses to environmental change via plasticity and adaptive evolution. After introducing general new theory, we construct a number of example models to demonstrate that evolutionary responses to environmental change over the short-term will be considerably slower than plastic responses, and that the rate of adaptive evolution to a new environment depends upon whether plastic responses are adaptive or non-adaptive. Parameterization of the models we develop requires information on genetic and phenotypic variation and demography that will not always be available, meaning that simpler models will often be required to predict responses to environmental change. We consequently develop a method to examine whether the full machinery of the evolutionarily explicit models we develop will be needed to predict responses to environmental change, or whether simpler non-evolutionary models that are now widely constructed may be sufficient.

scholarly journals Bigger Is Fitter? Quantitative Genetic Decomposition of Selection Reveals an Adaptive Evolutionary Decline of Body Mass in a Wild Rodent Population

2016 ◽  
Author(s):  
Bonnet Timothée ◽  
Wandeler Peter ◽  
Camenisch Glauco ◽  
Postma Erik
Keyword(s):  
Body Mass ◽  
Adaptive Evolution ◽  
Selective Pressure ◽  
Natural Populations ◽  
Positive Association ◽  
Evolutionary Change ◽  
Wild Rodent ◽  
Rodent Population ◽  
Quantitative Genetic ◽  
Evolutionary Response

AbstractIn natural populations, quantitative trait dynamics often do not appear to follow evolutionary predictions: Despite abundant examples of natural selection acting on heritable traits, conclusive evidence for contemporary adaptive evolution remains rare for wild vertebrate populations, and phenotypic stasis seems to be the norm. This so-called ‘stasis paradox’ highlights our inability to predict evolutionary change, which is especially concerning within the context of rapid anthropogenic environmental change. While the causes underlying the stasis paradox are hotly debated, comprehensive attempts aiming at a resolution are lacking. Here we apply a quantitative genetic framework to individual-based long-term data for a wild rodent population and show that despite a positive association between body mass and fitness, there has been a genetic change towards lower body mass. The latter represents an adaptive response to viability selection favouring juveniles growing up to become relatively small adults, i.e. with a low potential adult mass, which presumably complete their development earlier. This selection is particularly strong towards the end of the snow-free season, and it has intensified in recent years, coinciding which a change in snowfall patterns. Importantly, neither the negative evolutionary change, nor the selective pressures that drive it, are apparent on the phenotypic level, where they are masked by phenotypic plasticity and a non-causal (i.e. non-genetic) positive association between body mass and fitness, respectively. Estimating selection at the genetic level thereby enabled us to uncover adaptive evolution in action, and to identify the corresponding phenotypic selective pressure. We thereby demonstrate that natural populations can show a rapid and adaptive evolutionary response to a novel selective pressure, and that explicitly (quantitative) genetic models are able to provide us with an understanding of the causes and consequences of selection that is superior to purely phenotypic estimates of selection and evolutionary change.

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