Literature DB >> 15715846

Maternal genetic effects set the potential for evolution in a free-living vertebrate population.

A J Wilson1, D W Coltman, J M Pemberton, A D J Overall, K A Byrne, L E B Kruuk.   

Abstract

Heritable maternal effects have important consequences for the evolutionary dynamics of phenotypic traits under selection, but have only rarely been tested for or quantified in evolutionary studies. Here we estimate maternal effects on early-life traits in a feral population of Soay sheep (Ovis aries) from St Kilda, Scotland. We then partition the maternal effects into genetic and environmental components to obtain the first direct estimates of maternal genetic effects in a free-living population, and furthermore test for covariance between direct and maternal genetic effects. Using an animal model approach, direct heritabilities (h2) were low but maternal genetic effects (m2) represented a relatively large proportion of the total phenotypic variance for each trait (birth weight m2=0.119, birth date m2=0.197, natal litter size m2=0.211). A negative correlation between direct and maternal genetic effects was estimated for each trait, but was only statistically significant for natal litter size (ram= -0.714). Total heritabilities (incorporating variance from heritable maternal effects and the direct-maternal genetic covariance) were significant for birth weight and birth date but not for natal litter size. Inadequately specified models greatly overestimated additive genetic variance and hence direct h2 (by a factor of up to 6.45 in the case of birth date). We conclude that failure to model heritable maternal variance can result in over- or under-estimation of the potential for traits to respond to selection, and advocate an increased effort to explicitly measure maternal genetic effects in evolutionary studies.

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Year:  2005        PMID: 15715846     DOI: 10.1111/j.1420-9101.2004.00824.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  48 in total

1.  Predictors of early survival in Soay sheep: cohort-, maternal- and individual-level variation.

Authors:  Owen R Jones; Michael J Crawley; Jill G Pilkington; Josephine M Pemberton
Journal:  Proc Biol Sci       Date:  2005-12-22       Impact factor: 5.349

2.  Breeding racehorses: what price good genes?

Authors:  Alastair J Wilson; Andrew Rambaut
Journal:  Biol Lett       Date:  2008-04-23       Impact factor: 3.703

3.  Estimating individual contributions to population growth: evolutionary fitness in ecological time.

Authors:  T Coulson; T G Benton; P Lundberg; S R X Dall; B E Kendall; J-M Gaillard
Journal:  Proc Biol Sci       Date:  2006-03-07       Impact factor: 5.349

4.  A potential resolution to the lek paradox through indirect genetic effects.

Authors:  Christine W Miller; Allen J Moore
Journal:  Proc Biol Sci       Date:  2007-05-22       Impact factor: 5.349

5.  The benefits of maternal effects in novel and in stable environments.

Authors:  Rebecca B Hoyle; Thomas H G Ezard
Journal:  J R Soc Interface       Date:  2012-05-09       Impact factor: 4.118

6.  Variation in the peacock's train shows a genetic component.

Authors:  Marion Petrie; Peter Cotgreave; Thomas W Pike
Journal:  Genetica       Date:  2007-10-09       Impact factor: 1.082

Review 7.  Beyond DNA: integrating inclusive inheritance into an extended theory of evolution.

Authors:  Étienne Danchin; Anne Charmantier; Frances A Champagne; Alex Mesoudi; Benoit Pujol; Simon Blanchet
Journal:  Nat Rev Genet       Date:  2011-06-17       Impact factor: 53.242

8.  Quantitative genetics of costly neonatal sexual size dimorphism in squirrel monkeys (Saimiri boliviensis).

Authors:  G E Blomquist; L E Williams
Journal:  J Evol Biol       Date:  2013-02-25       Impact factor: 2.411

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

Authors:  S Eryn McFarlane; Jamieson C Gorrell; David W Coltman; Murray M Humphries; Stan Boutin; Andrew G McAdam
Journal:  Proc Biol Sci       Date:  2015-05-07       Impact factor: 5.349

10.  Genetic variances and covariances of live weight traits in Charolais cattle by multi-trait analysis.

Authors:  J B Herrera-Ojeda; G M Parra-Bracamonte; N Lopez-Villalobos; J C Martínez-González; J G Magaña-Monforte; S T Morris; L A López-Bustamante
Journal:  J Appl Genet       Date:  2019-08-12       Impact factor: 3.240

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