Literature DB >> 20033692

An application of the central limit theorem to coalescence times in the structured coalescent model with strong migration.

Morihiro Notohara1.   

Abstract

The structured coalescent describes the ancestral relationship among sampled genes from a geographically structured population. The aim of this article is to apply the central limit theorem to functionals of the migration process to study coalescence times and population structure. An application of the law of large numbers to the migration process leads to the strong migration limit for the distributions of coalescence times. The central limit theorem enables us to obtain approximate distributions of coalescence times for strong migration. We show that approximate distributions depend on the population structure. If migration is conservative and strong, we can define a kind of effective population size N(e)(*), with which the entire population approximately behaves like a panmictic population. On the other hand, the approximate distributions for nonconservative migration are qualitatively different from those for conservative migration. And the entire population behaves unlike a panmictic population even though migration is strong.

Mesh:

Year:  2009        PMID: 20033692     DOI: 10.1007/s00285-009-0318-z

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  11 in total

1.  Geographical invariance and the strong-migration limit in subdivided populations.

Authors:  T Nagylaki
Journal:  J Math Biol       Date:  2000-08       Impact factor: 2.259

2.  Coalescence time for two genes from a subdivided population.

Authors:  M Bahlo; R C Griffiths
Journal:  J Math Biol       Date:  2001-11       Impact factor: 2.259

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Authors:  Akinori Sano; Akinobu Shimizu; Masaru Iizuka
Journal:  Theor Popul Biol       Date:  2004-02       Impact factor: 1.570

4.  The coalescent and the genealogical process in geographically structured population.

Authors:  M Notohara
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

5.  On the meaning and existence of an effective population size.

Authors:  P Sjödin; I Kaj; S Krone; M Lascoux; M Nordborg
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

6.  The coalescence time of sampled genes in the structured coalescent model.

Authors:  Morihiro Notohara; Takayoshi Umeda
Journal:  Theor Popul Biol       Date:  2006-05-26       Impact factor: 1.570

7.  Extensions of the coalescent effective population size.

Authors:  John Wakeley; Ori Sargsyan
Journal:  Genetics       Date:  2008-11-10       Impact factor: 4.562

8.  The number of segregating sites in a sample of DNA sequences from a geographically structured population.

Authors:  M Notohara
Journal:  J Math Biol       Date:  1997-12       Impact factor: 2.259

9.  The coalescent in two partially isolated diffusion populations.

Authors:  N Takahata
Journal:  Genet Res       Date:  1988-12       Impact factor: 1.588

10.  The strong-migration limit in geographically structured populations.

Authors:  T Nagylaki
Journal:  J Math Biol       Date:  1980-04       Impact factor: 2.259

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  1 in total

1.  Critical assessment of coalescent simulators in modeling recombination hotspots in genomic sequences.

Authors:  Tao Yang; Hong-Wen Deng; Tianhua Niu
Journal:  BMC Bioinformatics       Date:  2014-01-03       Impact factor: 3.169

  1 in total

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