Laboratory evolution of the migratory polymorphism in the sand cricket: combining physiology with quantitative genetics.
Predicting evolutionary change is the central goal of evolutionary biology because it is the primary means by which we can test evolutionary hypotheses. In this article, we analyze the pattern of evolutionary change in a laboratory population of the wing-dimorphic sand cricket Gryllus firmus resulting from relaxation of selection favoring the migratory (long-winged) morph. Based on a well-characterized trade-off between fecundity and flight capability, we predict that evolution in the laboratory environment should result in a reduction in the proportion of long-winged morphs. We also predict increased fecundity and reduced functionality and weight of the major flight muscles in long-winged females but little change in short-winged (flightless) females. Based on quantitative genetic theory, we predict that the regression equation describing the trade-off between ovary weight and weight of the major flight muscles will show a change in its intercept but not in its slope. Comparisons across generations verify all of these predictions. Further, using values of genetic parameters estimated from previous studies, we show that a quantitative genetic simulation model can account for not only the qualitative changes but also the evolutionary trajectory. These results demonstrate the power of combining quantitative genetic and physiological approaches for understanding the evolution of complex traits.
Roff
Derek A
DA
Department of Biology, University of California, 900 University Avenue, Riverside, California 92507, USA. derek.roff@ucr.edu
Fairbairn
Daphne J
DJ
D000818:Animals; D005075:Biological Evolution; D003198:Computer Simulation; D005260:Female; D005298:Fertility / Q000235:genetics*; D006135:Gryllidae / Q000235:genetics*; D008957:Models, Genetic; D009132:Muscles / Q000502:physiology; D009929:Organ Size / Q000502:physiology; D010053:Ovary / Q000502:physiology; D011110:Polymorphism, Genetic; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis; D014921:Wings, Animal / Q000502:physiology*