Literature DB >> 23715015

Quantitative genetic study of the adaptive process.

R G Shaw1, F H Shaw.   

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.

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Year:  2013        PMID: 23715015      PMCID: PMC3860163          DOI: 10.1038/hdy.2013.42

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  37 in total

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3.  Unifying life-history analyses for inference of fitness and population growth.

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Journal:  Ecol Lett       Date:  2009-09-08       Impact factor: 9.492

5.  Biparental inbreeding and interremnant mating in a perennial prairie plant: fitness consequences for progeny in their first eight years.

Authors:  Stuart Wagenius; Helen H Hangelbroek; Caroline E Ridley; Ruth G Shaw
Journal:  Evolution       Date:  2009-10-05       Impact factor: 3.694

6.  Quantitative genetics and fitness: lessons from Drosophila.

Authors:  D A Roff; T A Mousseau
Journal:  Heredity (Edinb)       Date:  1987-02       Impact factor: 3.821

Review 7.  Natural selection and the heritability of fitness components.

Authors:  T A Mousseau; D A Roff
Journal:  Heredity (Edinb)       Date:  1987-10       Impact factor: 3.821

8.  Genetic and statistical analyses of strong selection on polygenic traits: what, me normal?

Authors:  M Turelli; N H Barton
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

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Authors:  Richard Gomulkiewicz; Robert D Holt; Michael Barfield; Scott L Nuismer
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10.  Shared spatial effects on quantitative genetic parameters: accounting for spatial autocorrelation and home range overlap reduces estimates of heritability in wild red deer.

Authors:  Katie V Stopher; Craig A Walling; Alison Morris; Fiona E Guinness; Tim H Clutton-Brock; Josephine M Pemberton; Daniel H Nussey
Journal:  Evolution       Date:  2012-04-09       Impact factor: 3.694

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  11 in total

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Journal:  Heredity (Edinb)       Date:  2014-01       Impact factor: 3.821

2.  The nature of nurture in a wild mammal's fitness.

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3.  The Linked Selection Signature of Rapid Adaptation in Temporal Genomic Data.

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4.  Microgeographic Patterns of Genetic Divergence and Adaptation across Environmental Gradients in Boechera stricta (Brassicaceae).

Authors:  Jill T Anderson; Nadeesha Perera; Bashira Chowdhury; Thomas Mitchell-Olds
Journal:  Am Nat       Date:  2015-08-17       Impact factor: 3.926

5.  A fitness trade-off between seasons causes multigenerational cycles in phenotype and population size.

Authors:  Gustavo S Betini; Andrew G McAdam; Cortland K Griswold; D Ryan Norris
Journal:  Elife       Date:  2017-02-06       Impact factor: 8.140

6.  Understanding the Evolutionary Ecology of host--pathogen Interactions Provides Insights into the Outcomes of Insect Pest Biocontrol.

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7.  How does contemporary selection shape oak phenotypes?

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Journal:  Evol Appl       Date:  2020-08-14       Impact factor: 5.183

8.  Immigration counter-acts local micro-evolution of a major fitness component: Migration-selection balance in free-living song sparrows.

Authors:  Jane M Reid; Peter Arcese; Pirmin Nietlisbach; Matthew E Wolak; Stefanie Muff; Lisa Dickel; Lukas F Keller
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9.  The thermal environment at fertilization mediates adaptive potential in the sea.

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10.  Very low levels of direct additive genetic variance in fitness and fitness components in a red squirrel population.

Authors:  S Eryn McFarlane; Jamieson C Gorrell; David W Coltman; Murray M Humphries; Stan Boutin; Andrew G McAdam
Journal:  Ecol Evol       Date:  2014-04-11       Impact factor: 2.912

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