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Additive genetic variance for lifetime fitness and the capacity for adaptation in an annual plant
Author(s) -
Kulbaba Mason W.,
Sheth Seema N.,
Pain Rachel E.,
Eckhart Vincent M.,
Shaw Ruth G.
Publication year - 2019
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.13830
Subject(s) - biology , selection (genetic algorithm) , adaptation (eye) , natural selection , population , genetic variation , genetic variability , genetic fitness , variance (accounting) , genetic load , statistics , ecology , evolutionary biology , demography , genotype , genetics , mathematics , biological evolution , inbreeding , neuroscience , artificial intelligence , sociology , computer science , gene , accounting , business
The immediate capacity for adaptation under current environmental conditions is directly proportional to the additive genetic variance for fitness, V A (W). Mean absolute fitness, W ¯ , is predicted to change at the rateV A ( W )W ¯ , according to Fisher's Fundamental Theorem of Natural Selection. Despite ample research evaluating degree of local adaptation, direct assessment of V A (W) and the capacity for ongoing adaptation is exceedingly rare. We estimated V A (W) andW ¯in three pedigreed populations of annual Chamaecrista fasciculata , over three years in the wild. Contrasting with common expectations, we found significant V A (W) in all populations and years, predicting increased mean fitness in subsequent generations (0.83 to 6.12 seeds per individual). Further, we detected two cases predicting “evolutionary rescue,” where selection on standing V A (W) was expected to increase fitness of declining populations ( W¯ < 1.0) to levels consistent with population sustainability and growth. Within populations, inter‐annual differences in genetic expression of fitness were striking. Significant genotype‐by‐year interactions reflected modest correlations between breeding values across years, indicating temporally variable selection at the genotypic level that could contribute to maintaining V A (W). By directly estimating V A (W) and total lifetime W ¯ , our study presents an experimental approach for studies of adaptive capacity in the wild.