Literature DB >> 25913128

The distribution of fitness effects in an uncertain world.

Tim Connallon1,2, Andrew G Clark1.   

Abstract

The distribution of fitness effects (DFE) among new mutations plays a critical role in adaptive evolution and the maintenance of genetic variation. Although fitness landscape models predict several key features of the DFE, most theory to date focuses on predictable environmental conditions, while ignoring stochastic environmental fluctuations that feature prominently in the ecology of many organisms. Here, we derive an extension of Fisher's geometric model that incorporates two common effects of environmental variation: (1) nonadaptive genotype-by-environment interactions (G × E), in which the phenotype of a given genotype varies across environmental contexts; and (2) random fluctuation of the fitness optimum, which generates fluctuating selection. We show that both factors cause a mismatch between the DFE within single generations and the distribution of geometric mean fitness effects (averaged over multiple generations) that governs long-term evolutionary change. Such mismatches permit strong evolutionary constraints-despite an abundance of beneficial fitness variation within single environmental contexts-and to conflicting DFE estimates from direct versus indirect inference methods. Finally, our results suggest an intriguing parallel between the genetics and ecology of evolutionary constraints, with environmental fluctuations and pleiotropy placing qualitatively similar limits on the availability of adaptive genetic variation.
© 2015 The Author(s). Evolution © 2015 The Society for the Study of Evolution.

Entities:  

Keywords:  Adaptation; fitness; genetic variation; mutations; pleiotropy; trade-offs

Mesh:

Year:  2015        PMID: 25913128      PMCID: PMC4716676          DOI: 10.1111/evo.12673

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  35 in total

1.  Fisher's microscope and Haldane's ellipse.

Authors:  D Waxman; J J Welch
Journal:  Am Nat       Date:  2005-08-05       Impact factor: 3.926

Review 2.  A general multivariate extension of Fisher's geometrical model and the distribution of mutation fitness effects across species.

Authors:  Guillaume Martin; Thomas Lenormand
Journal:  Evolution       Date:  2006-05       Impact factor: 3.694

3.  Model of effectively neutral mutations in which selective constraint is incorporated.

Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1979-07       Impact factor: 11.205

4.  The fitness effect of mutations across environments: a survey in light of fitness landscape models.

Authors:  Guillaume Martin; Thomas Lenormand
Journal:  Evolution       Date:  2006-12       Impact factor: 3.694

5.  Absolute fitness, relative fitness, and utility.

Authors:  H Allen Orr
Journal:  Evolution       Date:  2007-10-30       Impact factor: 3.694

6.  Distributions of epistasis in microbes fit predictions from a fitness landscape model.

Authors:  Guillaume Martin; Santiago F Elena; Thomas Lenormand
Journal:  Nat Genet       Date:  2007-03-18       Impact factor: 38.330

7.  Patterns of quantitative genetic variation in multiple dimensions.

Authors:  Mark Kirkpatrick
Journal:  Genetica       Date:  2008-08-10       Impact factor: 1.082

8.  Sensitivity of the distribution of mutational fitness effects to environment, genetic background, and adaptedness: a case study with Drosophila.

Authors:  Alethea D Wang; Nathaniel P Sharp; Aneil F Agrawal
Journal:  Evolution       Date:  2013-12-06       Impact factor: 3.694

9.  Evolution in health and medicine Sackler colloquium: Genetic architecture of a complex trait and its implications for fitness and genome-wide association studies.

Authors:  Adam Eyre-Walker
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-19       Impact factor: 11.205

10.  A bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environments.

Authors:  Claudia Bank; Ryan T Hietpas; Alex Wong; Daniel N Bolon; Jeffrey D Jensen
Journal:  Genetics       Date:  2014-01-07       Impact factor: 4.562

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  9 in total

1.  A Statistical Guide to the Design of Deep Mutational Scanning Experiments.

Authors:  Sebastian Matuszewski; Marcel E Hildebrandt; Ana-Hermina Ghenu; Jeffrey D Jensen; Claudia Bank
Journal:  Genetics       Date:  2016-07-13       Impact factor: 4.562

2.  Selective Sweep at a QTL in a Randomly Fluctuating Environment.

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Journal:  Genetics       Date:  2019-09-16       Impact factor: 4.562

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Authors:  Pádraic Corcoran; Toni I Gossmann; Henry J Barton; Jon Slate; Kai Zeng
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4.  Evolved genetic and phenotypic differences due to mitochondrial-nuclear interactions.

Authors:  Tara Z Baris; Dominique N Wagner; David I Dayan; Xiao Du; Pierre U Blier; Nicolas Pichaud; Marjorie F Oleksiak; Douglas L Crawford
Journal:  PLoS Genet       Date:  2017-03-31       Impact factor: 5.917

5.  Long-term evolutionary conflict, Sisyphean arms races, and power in Fisher's geometric model.

Authors:  Trey J Scott; David C Queller
Journal:  Ecol Evol       Date:  2019-09-04       Impact factor: 2.912

6.  The population genetics of collateral resistance and sensitivity.

Authors:  Sarah M Ardell; Sergey Kryazhimskiy
Journal:  Elife       Date:  2021-12-10       Impact factor: 8.140

7.  Quantifying natural seasonal variation in mutation parameters with mutation accumulation lines.

Authors:  Matthew T Rutter; Angela J Roles; Charles B Fenster
Journal:  Ecol Evol       Date:  2018-05-02       Impact factor: 2.912

8.  Greater strength of selection and higher proportion of beneficial amino acid changing mutations in humans compared with mice and Drosophila melanogaster.

Authors:  Ying Zhen; Christian D Huber; Robert W Davies; Kirk E Lohmueller
Journal:  Genome Res       Date:  2020-11-18       Impact factor: 9.043

9.  Fluctuating Environments Maintain Genetic Diversity through Neutral Fitness Effects and Balancing Selection.

Authors:  Farah Abdul-Rahman; Daniel Tranchina; David Gresham
Journal:  Mol Biol Evol       Date:  2021-09-27       Impact factor: 16.240

  9 in total

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