Abstract

The immediate capacity for adaptation under current environmental conditions is directly proportional to the additive genetic variance for fitness, VA(W). Mean absolute fitness, W ̅, is predicted to change at the rate (VA(W))/W ̅ , according to Fisher`s Fundamental Theorem of Natural Selection. Despite ample research evaluating degree of local adaptation, direct assessment of VA(W) and the capacity for ongoing adaptation is exceedingly rare. We estimated VA(W) and W ̅ in three pedigreed populations of annual Chamaecrista fasciculata, over three years in the wild. Contrasting with common expectations, we found significant VA(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 VA(W) was expected to increase fitness of declining populations ((W ) ̅< 1.0) to levels consistent with population sustainability and growth. Within populations, interannual differences in genetic expression of fitness were striking. Significant genotype-by-year interactions reflected modest correlations between breeding values across years (all r < 0.490), indicating temporally variable selection at the genotypic level; that could contribute to maintaining VA(W). By directly estimating VA(W) and total lifetime W ̅, our study presents an experimental approach for studies of adaptive capacity in the wild.

Footnotes

* minor change in analyses that produce asymmetrical 95% confidence intervals for estimates of VA(W), and standard errors for the predicted change in mean fitness. Also includes numerous wording changes to address questions of evolvabilities and evolution of traits.

* https://github.com/mason-kulbaba/adaptive-capacity.git

Details

Title
Additive genetic variance for lifetime fitness and the capacity for adaptation in an annual plant
Author
Kulbba, Mason W; Sheth, Seema N; Pain, Rachel E; Eckhart, Vincent M; Shaw, Ruth G
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2019
Publication date
Jul 18, 2019
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2204471021
Copyright
© 2019. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.