Literature DB >> 15478083

Components of variance underlying fitness in a natural population of the great tit Parus major.

R H McCleery1, R A Pettifor, P Armbruster, K Meyer, B C Sheldon, C M Perrins.   

Abstract

Traits that are closely associated with fitness tend to have lower heritabilities (h2) than those that are not. This has been interpreted as evidence that natural selection tends to deplete genetic variation more rapidly for traits more closely associated with fitness (a corollary of Fisher's fundamental theorem), but Price and Schluter (1991) suggested the pattern might be due to higher residual variance in traits more closely related to fitness. The relationship between 10 different traits for females, seven traits for males, and overall fitness (lifetime recruitment) was quantified for great tits (Parus major) studied in their natural environment of Wytham Wood, England, using data collected over 39 years. Heritabilities and the coefficients of additive genetic and residual variance (CVA and CVR, respectively) were estimated using an "animal model." For both males and females, a trait's correlation (r) with fitness was negatively related to its h2 but positively related to its CVR. The CVA was not related to the trait's correlation with fitness in either sex. This is the third study using directly measured fitness in a wild population to show the important role of residual variation in determining the pattern of lower heritabilities for traits more closely related to fitness.

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Year:  2004        PMID: 15478083     DOI: 10.1086/422660

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


  53 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-05       Impact factor: 11.205

Review 2.  Environmental quality and evolutionary potential: lessons from wild populations.

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3.  Pedigree-free animal models: the relatedness matrix reloaded.

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Journal:  Proc Biol Sci       Date:  2008-03-22       Impact factor: 5.349

4.  Patterns of quantitative genetic variation in multiple dimensions.

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

5.  Parental favoritism in a wild bird population.

Authors:  Madison Brode; Kelly D Miller; Ashley J Atkins Coleman; Kelly L O'Neil; LeighAnn E Poole; E Keith Bowers
Journal:  Anim Cogn       Date:  2021-01-05       Impact factor: 3.084

6.  Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability.

Authors:  J Martínez-Padilla; A Estrada; R Early; F Garcia-Gonzalez
Journal:  Proc Biol Sci       Date:  2017-06-14       Impact factor: 5.349

7.  Disentangling the effect of genes, the environment and chance on sex ratio variation in a wild bird population.

Authors:  Erik Postma; Franziska Heinrich; Ursina Koller; Rebecca J Sardell; Jane M Reid; Peter Arcese; Lukas F Keller
Journal:  Proc Biol Sci       Date:  2011-02-23       Impact factor: 5.349

Review 8.  Quantitative genetic study of the adaptive process.

Authors:  R G Shaw; F H Shaw
Journal:  Heredity (Edinb)       Date:  2013-05-29       Impact factor: 3.821

9.  Increased extra-pair paternity in broods of aging males and enhanced recruitment of extra-pair young in a migratory bird.

Authors:  E Keith Bowers; Anna M Forsman; Brian S Masters; Bonnie G P Johnson; L Scott Johnson; Scott K Sakaluk; Charles F Thompson
Journal:  Evolution       Date:  2015-08-24       Impact factor: 3.694

10.  Predicting demographically sustainable rates of adaptation: can great tit breeding time keep pace with climate change?

Authors:  Phillip Gienapp; Marjolein Lof; Thomas E Reed; John McNamara; Simon Verhulst; Marcel E Visser
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

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