Literature DB >> 31432512

Additive genetic variance for lifetime fitness and the capacity for adaptation in an annual plant.

Mason W Kulbaba1, Seema N Sheth1,2, Rachel E Pain1, Vincent M Eckhart3, Ruth G Shaw1.   

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, 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 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.
© 2019 The Author(s). Evolution © 2019 The Society for the Study of Evolution.

Entities:  

Keywords:  Adaptive capacity; Chamaecrista fasciculata; Fisher's Fundamental Theorem of Natural Selection; aster models; genotype-by-environment interactions

Mesh:

Year:  2019        PMID: 31432512     DOI: 10.1111/evo.13830

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   4.171


  4 in total

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Journal:  Mol Ecol       Date:  2022-01-27       Impact factor: 6.622

3.  Evolutionary Rescue as a Mechanism Allowing a Clonal Grass to Adapt to Novel Climates.

Authors:  Zuzana Münzbergová; Vigdis Vandvik; Věroslava Hadincová
Journal:  Front Plant Sci       Date:  2021-05-17       Impact factor: 5.753

4.  Ecological factors influence balancing selection on leaf chemical profiles of a wildflower.

Authors:  Lauren N Carley; Julius P Mojica; Baosheng Wang; Chia-Yu Chen; Ya-Ping Lin; Kasavajhala V S K Prasad; Emily Chan; Che-Wei Hsu; Rose Keith; Chase L Nuñez; Carrie F Olson-Manning; Catherine A Rushworth; Maggie R Wagner; Jing Wang; Pei-Min Yeh; Michael Reichelt; Kathryn Ghattas; Jonathan Gershenzon; Cheng-Ruei Lee; Thomas Mitchell-Olds
Journal:  Nat Ecol Evol       Date:  2021-06-17       Impact factor: 15.460

  4 in total

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