Literature DB >> 26655985

Unifying Within- and Between-Generation Bet-Hedging Theories: An Ode to J. H. Gillespie.

Sebastian J Schreiber1.   

Abstract

In the 1970s, John Gillespie introduced two principles in which evolution selects for genotypes with lower variation in offspring numbers. First, if the variation in offspring number primarily occurs within generations, the strength of this selective force is inversely proportional to population size. Second, if this variation primarily occurs between generations, the strength of this selective force is proportional to the variance and independent of population size. These principles lie at the core of bet-hedging theory. Using the common currency of fixation probabilities, I derive a general principle for which within-generation correlation of individual fitness acts as a dial between Gillespie's limiting cases. At low correlations, within-generation variation is the primary selective force. At high correlations, between-generation variation is the dominant selective force. As corollary of this general principle, selection for diversified bet-hedging strategies is shown to require higher within-generation environmental correlations in smaller populations.

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Year:  2015        PMID: 26655985     DOI: 10.1086/683657

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  5 in total

1.  Mast seeding promotes evolution of scatter-hoarding.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-10-18       Impact factor: 6.237

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3.  Predicting evolutionarily stable strategies from functional responses of Sonoran Desert annuals to precipitation.

Authors:  William S Cuello; Jennifer R Gremer; Pete C Trimmer; Andrew Sih; Sebastian J Schreiber
Journal:  Proc Biol Sci       Date:  2019-01-16       Impact factor: 5.349

4.  Ecological genomics of adaptation to unpredictability in experimental rotifer populations.

Authors:  Eva Tarazona; Christoph Hahn; Lluís Franch-Gras; Eduardo M García-Roger; María José Carmona; Africa Gómez
Journal:  Sci Rep       Date:  2019-12-23       Impact factor: 4.379

5.  Pathogen evolution in finite populations: slow and steady spreads the best.

Authors:  Todd L Parsons; Amaury Lambert; Troy Day; Sylvain Gandon
Journal:  J R Soc Interface       Date:  2018-10-03       Impact factor: 4.118

  5 in total

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