Literature DB >> 28568413

RISK OF POPULATION EXTINCTION FROM FIXATION OF NEW DELETERIOUS MUTATIONS.

Russell Lande1.   

Abstract

The fixation of new deleterious mutations is analyzed for a randomly mating population of constant size with no environmental or demographic stochasticity. Mildly deleterious mutations are far more important in causing loss of fitness and eventual extinction than are lethal and semilethal mutations in populations with effective sizes, Ne , larger than a few individuals. If all mildly deleterious mutations have the same selection coefficient, s against heterozygotes and 2s against homozygotes, the mean time to extinction, t¯, is asymptotically proportional to e4Nes/Ne for 4Ne s > 1. Nearly neutral mutations pose the greatest risk of extinction for stable populations, because the magnitude of selection coefficient that minimizes t¯ is about ŝ = 0.4/Ne . The influence of variance in selection coefficients among mutations is analyzed assuming a gamma distribution of s, with mean s¯ and variance σs2. The mean time to extinction increases with variance in selection coefficients if s¯ is near ŝ, but can decrease greatly if s¯ is much larger than ŝ. For a given coefficient of variation of s, c=σs/s¯, the mean time to extinction is asymptotically proportional to Ne1+1/c2 for 4Nes¯>1. When s is exponentially distributed, (c = 1) t¯ is asymptotically proportional to Ne2. These results in conjunction with data on the rate and magnitude of mildly deleterious mutations in Drosophila melanogaster indicate that even moderately large populations, with effective sizes on the order of Ne = 103 , may incur a substantial risk of extinction from the fixation of new mutations. © 1994 The Society for the Study of Evolution.

Entities:  

Keywords:  Extinction; deleterious mutations; variance in selection coefficients

Year:  1994        PMID: 28568413     DOI: 10.1111/j.1558-5646.1994.tb02188.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  42 in total

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Authors:  Konstantin Popadin; Leonard V Polishchuk; Leila Mamirova; Dmitry Knorre; Konstantin Gunbin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-06       Impact factor: 11.205

Review 2.  Analysis and implications of mutational variation.

Authors:  Peter D Keightley; Daniel L Halligan
Journal:  Genetica       Date:  2008-07-29       Impact factor: 1.082

Review 3.  Genetic variation, inbreeding and chemical exposure--combined effects in wildlife and critical considerations for ecotoxicology.

Authors:  A Ross Brown; David J Hosken; François Balloux; Lisa K Bickley; Gareth LePage; Stewart F Owen; Malcolm J Hetheridge; Charles R Tyler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-11-27       Impact factor: 6.237

Review 4.  Habitat loss, the dynamics of biodiversity, and a perspective on conservation.

Authors:  Ilkka Hanski
Journal:  Ambio       Date:  2011-05       Impact factor: 5.129

5.  A comparative study on genetic effects of artificial and natural habitat fragmentation on Loropetalum chinense (Hamamelidaceae) in Southeast China.

Authors:  N Yuan; H P Comes; Y N Cao; R Guo; Y H Zhang; Y X Qiu
Journal:  Heredity (Edinb)       Date:  2014-12-17       Impact factor: 3.821

6.  An extreme test of mutational meltdown shows mutational firm up instead.

Authors:  R C Woodruff
Journal:  Genetica       Date:  2013-03-30       Impact factor: 1.082

7.  Genetic variation at mtDNA and microsatellite loci in Chinese longsnout catfish (Leiocassis longirostris).

Authors:  Guang Yang; Mingsong Xiao; Yanyan Yu; Shixia Xu
Journal:  Mol Biol Rep       Date:  2011-09-23       Impact factor: 2.316

8.  Predictable allele frequency changes due to habitat fragmentation in the Glanville fritillary butterfly.

Authors:  Toby Fountain; Marko Nieminen; Jukka Sirén; Swee Chong Wong; Rainer Lehtonen; Ilkka Hanski
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-22       Impact factor: 11.205

9.  Spontaneous deleterious mutation in Arabidopsis thaliana.

Authors:  S T Schultz; M Lynch; J H Willis
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

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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