Literature DB >> 20409158

An ecologist's guide to the animal model.

Alastair J Wilson1, Denis Réale, Michelle N Clements, Michael M Morrissey, Erik Postma, Craig A Walling, Loeske E B Kruuk, Daniel H Nussey.   

Abstract

1. Efforts to understand the links between evolutionary and ecological dynamics hinge on our ability to measure and understand how genes influence phenotypes, fitness and population dynamics. Quantitative genetics provides a range of theoretical and empirical tools with which to achieve this when the relatedness between individuals within a population is known. 2. A number of recent studies have used a type of mixed-effects model, known as the animal model, to estimate the genetic component of phenotypic variation using data collected in the field. Here, we provide a practical guide for ecologists interested in exploring the potential to apply this quantitative genetic method in their research. 3. We begin by outlining, in simple terms, key concepts in quantitative genetics and how an animal model estimates relevant quantitative genetic parameters, such as heritabilities or genetic correlations. 4. We then provide three detailed example tutorials, for implementation in a variety of software packages, for some basic applications of the animal model. We discuss several important statistical issues relating to best practice when fitting different kinds of mixed models. 5. We conclude by briefly summarizing more complex applications of the animal model, and by highlighting key pitfalls and dangers for the researcher wanting to begin using quantitative genetic tools to address ecological and evolutionary questions.

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Year:  2010        PMID: 20409158     DOI: 10.1111/j.1365-2656.2009.01639.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  209 in total

1.  Phylogenetic relatedness as a tool in restoration ecology: a meta-analysis.

Authors:  Miguel Verdú; Lorena Gómez-Aparicio; Alfonso Valiente-Banuet
Journal:  Proc Biol Sci       Date:  2011-12-07       Impact factor: 5.349

Review 2.  Applying a quantitative genetics framework to behavioural syndrome research.

Authors:  Ned A Dochtermann; Derek A Roff
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-27       Impact factor: 6.237

3.  Heritable victimization and the benefits of agonistic relationships.

Authors:  Amanda J Lea; Daniel T Blumstein; Tina W Wey; Julien G A Martin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-29       Impact factor: 11.205

4.  Simultaneous Estimation of Additive and Mutational Genetic Variance in an Outbred Population of Drosophila serrata.

Authors:  Katrina McGuigan; J David Aguirre; Mark W Blows
Journal:  Genetics       Date:  2015-09-16       Impact factor: 4.562

Review 5.  Common garden experiments in the genomic era: new perspectives and opportunities.

Authors:  P de Villemereuil; O E Gaggiotti; M Mouterde; I Till-Bottraud
Journal:  Heredity (Edinb)       Date:  2015-10-21       Impact factor: 3.821

6.  Integrating Nonadditive Genomic Relationship Matrices into the Study of Genetic Architecture of Complex Traits.

Authors:  Alireza Nazarian; Salvador A Gezan
Journal:  J Hered       Date:  2015-12-27       Impact factor: 2.645

7.  Estimates of Heritability for Growth and Shell Color Traits and Their Genetic Correlations in the Black Shell Strain of Pacific Oyster Crassostrea gigas.

Authors:  Lan Xu; Qi Li; Hong Yu; Lingfeng Kong
Journal:  Mar Biotechnol (NY)       Date:  2017-08-31       Impact factor: 3.619

8.  Experimental evidence for adaptive personalities in a wild passerine bird.

Authors:  Marion Nicolaus; Joost M Tinbergen; Karen M Bouwman; Stephanie P M Michler; Richard Ubels; Christiaan Both; Bart Kempenaers; Niels J Dingemanse
Journal:  Proc Biol Sci       Date:  2012-10-24       Impact factor: 5.349

9.  Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance.

Authors:  Tyler D Hether; Paul A Hohenlohe
Journal:  Evolution       Date:  2013-12-04       Impact factor: 3.694

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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