Literature DB >> 14704197

Patterns of inbreeding depression and architecture of the load in subdivided populations.

Sylvain Glémin1, Joëlle Ronfort, Thomas Bataillon.   

Abstract

Inbreeding depression is a general phenomenon that is due mainly to recessive deleterious mutations, the so-called mutation load. It has been much studied theoretically. However, until very recently, population structure has not been taken into account, even though it can be an important factor in the evolution of populations. Population subdivision modifies the dynamics of deleterious mutations because the outcome of selection depends on processes both within populations (selection and drift) and between populations (migration). Here, we present a general model that permits us to gain insight into patterns of inbreeding depression, heterosis, and the load in subdivided populations. We show that they can be interpreted with reference to single-population theory, using an appropriate local effective population size that integrates the effects of drift, selection, and migration. We term this the "effective population size of selection" (NS(e)). For the infinite island model, for example, it is equal to NS(e) = N1 + m/hs, where N is the local population size, m the migration rate, and h and s the dominance and selection coefficients of deleterious mutation. Our results have implications for the estimation and interpretation of inbreeding depression in subdivided populations, especially regarding conservation issues. We also discuss the possible effects of migration and subdivision on the evolution of mating systems.

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Year:  2003        PMID: 14704197      PMCID: PMC1462922     

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


  25 in total

Review 1.  Estimation of spontaneous genome-wide mutation rate parameters: whither beneficial mutations?

Authors:  T Bataillon
Journal:  Heredity (Edinb)       Date:  2000-05       Impact factor: 3.821

2.  Inbreeding, outbreeding, and heterosis in the yellow pitcher plant, Sarracenia flava (Sarraceniaceae), in Virginia.

Authors:  P M Sheridan; D N Karowe
Journal:  Am J Bot       Date:  2000-11       Impact factor: 3.844

3.  Heterosis increases the effective migration rate.

Authors:  P K Ingvarsson; M C Whitlock
Journal:  Proc Biol Sci       Date:  2000-07-07       Impact factor: 5.349

4.  THE MUTATION LOAD IN SMALL POPULATIONS.

Authors:  M KIMURA; T MARUYAMA; J F CROW
Journal:  Genetics       Date:  1963-10       Impact factor: 4.562

5.  On the three methods for estimating deleterious genomic mutation parameters.

Authors:  H W Deng; Y X Fu
Journal:  Genet Res       Date:  1998-06       Impact factor: 1.588

6.  Characterization of deleterious mutations in outcrossing populations.

Authors:  H W Deng
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

7.  Estimation of deleterious-mutation parameters in natural populations.

Authors:  H W Deng; M Lynch
Journal:  Genetics       Date:  1996-09       Impact factor: 4.562

8.  Strong inbreeding depression in a Daphnia metapopulation.

Authors:  Christoph R Haag; Jürgen W Hottinger; Myriam Riek; Dieter Ebert
Journal:  Evolution       Date:  2002-03       Impact factor: 3.694

9.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

10.  The distribution of mutation effects on viability in Drosophila melanogaster.

Authors:  P D Keightley
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

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  27 in total

1.  Joint effects of self-fertilization and population structure on mutation load, inbreeding depression and heterosis.

Authors:  Denis Roze; François Rousset
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

2.  Surprising fitness consequences of GC-biased gene conversion: I. Mutation load and inbreeding depression.

Authors:  Sylvain Glémin
Journal:  Genetics       Date:  2010-04-26       Impact factor: 4.562

3.  Inbreeding depression and low between-population heterosis in recently diverged experimental populations of a selfing species.

Authors:  Y Rousselle; M Thomas; N Galic; I Bonnin; I Goldringer
Journal:  Heredity (Edinb)       Date:  2010-06-09       Impact factor: 3.821

4.  Surprising fitness consequences of GC-biased gene conversion. II. Heterosis.

Authors:  Sylvain Glémin
Journal:  Genetics       Date:  2010-10-18       Impact factor: 4.562

5.  Decoupling the Variances of Heterosis and Inbreeding Effects Is Evidenced in Yeast's Life-History and Proteomic Traits.

Authors:  Marianyela Petrizzelli; Dominique de Vienne; Christine Dillmann
Journal:  Genetics       Date:  2018-12-03       Impact factor: 4.562

6.  A threefold genetic allee effect: population size affects cross-compatibility, inbreeding depression and drift load in the self-incompatible Ranunculus reptans.

Authors:  Yvonne Willi; Josh Van Buskirk; Markus Fischer
Journal:  Genetics       Date:  2005-02-03       Impact factor: 4.562

7.  Effects of inbreeding, endogamy, genetic admixture, and outbreeding on human health: a (1001 Dalmatians) study.

Authors:  Igor Rudan; Zrinka Biloglav; Ariana Vorko-Jović; Mirjana Kujundzić-Tiljak; Ranko Stevanović; Darko Ropac; Dinko Puntarić; Branka Cucević; Branka Salzer; Harry Campbell
Journal:  Croat Med J       Date:  2006-08       Impact factor: 1.351

8.  Joint evolution of dispersal and inbreeding load.

Authors:  Frédéric Guillaume; Nicolas Perrin
Journal:  Genetics       Date:  2006-03-01       Impact factor: 4.562

9.  Within- and among-population impact of genetic erosion on adult fitness-related traits in the European tree frog Hyla arborea.

Authors:  E Luquet; J-P Léna; P David; J Prunier; P Joly; T Lengagne; N Perrin; S Plénet
Journal:  Heredity (Edinb)       Date:  2012-12-19       Impact factor: 3.821

10.  High genetic load in an old isolated butterfly population.

Authors:  Anniina L K Mattila; Anne Duplouy; Malla Kirjokangas; Rainer Lehtonen; Pasi Rastas; Ilkka Hanski
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

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