Literature DB >> 15122499

Single-generation estimates of individual fitness as proxies for long-term genetic contribution.

Jon E Brommer1, Lars Gustafsson, Hannu Pietiäinen, Juha Merilä.   

Abstract

Individual fitness is a central evolutionary concept, but the question of how it should be defined in empirical studies of natural selection remains contentious. Using founding cohorts from long-term population studies of two species of individually marked birds (collared flycatcher Ficedula albicollis and Ural owl Strix uralensis), we compared a rate-sensitive (lambdaind) and a rate-insensitive (lifetime reproductive success [LRS]) estimate of individual fitness with an estimate of long-term genetic fitness. The latter was calculated as the number of gene copies present in the population after more than two generations, as estimated by tracing genetic lineages and accounting for the fact that populations were not completely closed. When counting fledglings, rate-insensitive estimates of individual fitness correlated better than rate-sensitive estimates with estimated long-term genetic contribution. When counting recruits, both classes of estimates performed equally well. The results support the contention that simple, rate-insensitive measures of fitness, such as LRS, provide a valid and good estimate of fitness in evolutionary studies of natural populations.

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Year:  2004        PMID: 15122499     DOI: 10.1086/382547

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


  49 in total

1.  Lifetime offspring production in relation to breeding lifespan, attractiveness, and mating status in male collared flycatchers.

Authors:  Márton Herényi; Gergely Hegyi; László Zsolt Garamszegi; Rita Hargitai; Gábor Michl; Balázs Rosivall; János Török
Journal:  Oecologia       Date:  2012-05-29       Impact factor: 3.225

Review 2.  Evolutionary bet-hedging in the real world: empirical evidence and challenges revealed by plants.

Authors:  Dylan Z Childs; C J E Metcalf; Mark Rees
Journal:  Proc Biol Sci       Date:  2010-06-23       Impact factor: 5.349

Review 3.  Defining individual quality over lifetimes and selective contexts.

Authors:  Simon P Lailvaux; Michael M Kasumovic
Journal:  Proc Biol Sci       Date:  2010-09-22       Impact factor: 5.349

4.  Early and adult social environments have independent effects on individual fitness in a social vertebrate.

Authors:  Vérane Berger; Jean-François Lemaître; Dominique Allainé; Jean-Michel Gaillard; Aurélie Cohas
Journal:  Proc Biol Sci       Date:  2015-08-22       Impact factor: 5.349

5.  Good reindeer mothers live longer and become better in raising offspring.

Authors:  Robert B Weladji; Jean-Michel Gaillard; Nigel G Yoccoz; Oystein Holand; Atle Mysterud; Anne Loison; Mauri Nieminen; Nils Chr Stenseth
Journal:  Proc Biol Sci       Date:  2006-05-22       Impact factor: 5.349

6.  Best squirrels trade a long life for an early reproduction.

Authors:  Sébastien Descamps; Stan Boutin; Dominique Berteaux; Jean-Michel Gaillard
Journal:  Proc Biol Sci       Date:  2006-09-22       Impact factor: 5.349

7.  Coevolution between harmful male genitalia and female resistance in seed beetles.

Authors:  Johanna Rönn; Mari Katvala; Göran Arnqvist
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-15       Impact factor: 11.205

8.  Perfect genetic correlation between number of offspring and grandoffspring in an industrialized human population.

Authors:  Brendan P Zietsch; Ralf Kuja-Halkola; Hasse Walum; Karin J H Verweij
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-06       Impact factor: 11.205

9.  Sexual conflict and the gender load: correlated evolution between population fitness and sexual dimorphism in seed beetles.

Authors:  Göran Arnqvist; Midori Tuda
Journal:  Proc Biol Sci       Date:  2009-12-23       Impact factor: 5.349

10.  The effects of resource availability and the demographic transition on the genetic correlation between number of children and grandchildren in humans.

Authors:  E Bolund; V Lummaa
Journal:  Heredity (Edinb)       Date:  2016-09-14       Impact factor: 3.821

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