Literature DB >> 17110494

Multilevel selection 1: Quantitative genetics of inheritance and response to selection.

Piter Bijma1, William M Muir, Johan A M Van Arendonk.   

Abstract

Interaction among individuals is universal, both in animals and in plants, and substantially affects evolution of natural populations and responses to artificial selection in agriculture. Although quantitative genetics has successfully been applied to many traits, it does not provide a general theory accounting for interaction among individuals and selection acting on multiple levels. Consequently, current quantitative genetic theory fails to explain why some traits do not respond to selection among individuals, but respond greatly to selection among groups. Understanding the full impacts of heritable interactions on the outcomes of selection requires a quantitative genetic framework including all levels of selection and relatedness. Here we present such a framework and provide expressions for the response to selection. Results show that interaction among individuals may create substantial heritable variation, which is hidden to classical analyses. Selection acting on higher levels of organization captures this hidden variation and therefore always yields positive response, whereas individual selection may yield response in the opposite direction. Our work provides testable predictions of response to multilevel selection and reduces to classical theory in the absence of interaction. Statistical methodology provided elsewhere enables empirical application of our work to both natural and domestic populations.

Mesh:

Year:  2006        PMID: 17110494      PMCID: PMC1775021          DOI: 10.1534/genetics.106.062711

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  37 in total

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Authors:  Stuart A West; Ido Pen; Ashleigh S Griffin
Journal:  Science       Date:  2002-04-05       Impact factor: 47.728

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Authors:  M J Wade
Journal:  Proc Natl Acad Sci U S A       Date:  1978-12       Impact factor: 11.205

3.  Multilevel selection 2: Estimating the genetic parameters determining inheritance and response to selection.

Authors:  Piter Bijma; William M Muir; Esther D Ellen; Jason B Wolf; Johan A M Van Arendonk
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

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Authors:  B Griffing
Journal:  Genetics       Date:  1976-04       Impact factor: 4.562

5.  Selection in reference to biological groups. VI. Use of extreme forms of nonrandom groups to increase selection efficiency.

Authors:  B Griffing
Journal:  Genetics       Date:  1976-04       Impact factor: 4.562

6.  On indirect genetic effects in structured populations.

Authors:  A F Agrawal; E D Brodie; M J Wade
Journal:  Am Nat       Date:  2001-09       Impact factor: 3.926

7.  Wright's shifting balance theory: an experimental study.

Authors:  M J Wade; C J Goodnight
Journal:  Science       Date:  1991-08-30       Impact factor: 47.728

8.  Group selection for adaptation to multiple-hen cages: selection program and direct responses.

Authors:  W M Muir
Journal:  Poult Sci       Date:  1996-04       Impact factor: 3.352

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Authors:  B Griffing
Journal:  Aust J Biol Sci       Date:  1967-02

10.  The genetical evolution of social behaviour. I.

Authors:  W D Hamilton
Journal:  J Theor Biol       Date:  1964-07       Impact factor: 2.691

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  91 in total

1.  Estimating indirect genetic effects: precision of estimates and optimum designs.

Authors:  Piter Bijma
Journal:  Genetics       Date:  2010-08-16       Impact factor: 4.562

2.  Multilevel selection 4: modeling the relationship of indirect genetic effects and group size.

Authors:  Piter Bijma
Journal:  Genetics       Date:  2010-08-16       Impact factor: 4.562

3.  Multilevel selection 2: Estimating the genetic parameters determining inheritance and response to selection.

Authors:  Piter Bijma; William M Muir; Esther D Ellen; Jason B Wolf; Johan A M Van Arendonk
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

4.  Genetic improvement of traits affected by interactions among individuals: Sib selection schemes.

Authors:  Esther D Ellen; William M Muir; Friedrich Teuscher; Piter Bijma
Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

5.  Multilevel selection 3: modeling the effects of interacting individuals as a function of group size.

Authors:  Jarrod D Hadfield; Alastair J Wilson
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

Review 6.  Applications of population genetics to animal breeding, from wright, fisher and lush to genomic prediction.

Authors:  William G Hill
Journal:  Genetics       Date:  2014-01       Impact factor: 4.562

7.  Genetic composition of social groups influences male aggressive behaviour and fitness in natural genotypes of Drosophila melanogaster.

Authors:  Julia B Saltz
Journal:  Proc Biol Sci       Date:  2013-09-25       Impact factor: 5.349

8.  Genetic variation in social influence on mate preferences.

Authors:  Darren Rebar; Rafael L Rodríguez
Journal:  Proc Biol Sci       Date:  2013-05-22       Impact factor: 5.349

9.  Genetic-based interactions among tree neighbors: identification of the most influential neighbors, and estimation of correlations among direct and indirect genetic effects for leaf disease and growth in Eucalyptus globulus.

Authors:  J Costa E Silva; B M Potts; A R Gilmour; R J Kerr
Journal:  Heredity (Edinb)       Date:  2017-05-31       Impact factor: 3.821

10.  Estimation of indirect social genetic effects for skin lesion count in group-housed pigs by quantifying behavioral interactions1.

Authors:  Belcy K Angarita; Rodolfo J C Cantet; Kaitlin E Wurtz; Carly I O O’Malley; Janice M Siegford; Catherine W Ernst; Simon P Turner; Juan P Steibel
Journal:  J Anim Sci       Date:  2019-09-03       Impact factor: 3.159

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