title: Quantitative genetic study of the adaptive process.
abstract: The additive genetic variance with respect to absolute fitness, VA(W), divided by mean absolute fitness, , sets the rate of ongoing adaptation. Fisher's key insight yielding this quantitative prediction of adaptive evolution, known as the Fundamental Theorem of Natural Selection, is well appreciated by evolutionists. Nevertheless, extremely scant information about VA(W) is available for natural populations. Consequently, the capacity for fitness increase via natural selection is unknown. Particularly in the current context of rapid environmental change, which is likely to reduce fitness directly and, consequently, the size and persistence of populations, the urgency of advancing understanding of immediate adaptive capacity is extreme. We here explore reasons for the dearth of empirical information about VA(W), despite its theoretical renown and critical evolutionary role. Of these reasons, we suggest that expectations that VA(W) is negligible, in general, together with severe statistical challenges of estimating it, may largely account for the limited empirical emphasis on it. To develop insight into the dynamics of VA(W) in a changing environment, we have conducted individual-based genetically explicit simulations. We show that, as optimizing selection on a trait changes steadily over generations, VA(W) can grow considerably, supporting more rapid adaptation than would the VA(W) of the base population. We call for direct evaluation of VA(W) and in support of prediction of rates adaptive evolution, and we advocate for the use of aster modeling as a rigorous basis for achieving this goal.
authors.affiliation: Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, USA.
authors.forename: R G
authors.initials: RG
authors.lastname: Shaw
authors.forename: F H
authors.initials: FH
authors.lastname: Shaw
mesh_terms: D000220:Adaptation, Biological / Q000235:genetics*; D019143:Evolution, Molecular; D059647:Gene-Environment Interaction; D056084:Genetic Fitness; D014644:Genetic Variation; D008962:Models, Theoretical; D040641:Quantitative Trait Loci / Q000235:genetics*; D012641:Selection, Genetic