Literature DB >> 9440307

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

M Notohara1.   

Abstract

The distribution of the number of segregating sites among randomly sampled DNA sequences from a geographically structured population is studied. We assume the infinitely-many-sites model of neutral genes and no recombination. Employing the genealogical process, we derive an equation for the generating function of the distribution of the number of segregating sites. First we study the strong-migration limit and prove that the distribution converges to that for a panmictic population. We also study the case of two sampled DNA sequences in the d-dimensional torus model with homogeneous migration.

Mesh:

Substances:

Year:  1997        PMID: 9440307     DOI: 10.1007/s002850050097

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


  6 in total

1.  Gene genealogies in a metapopulation.

Authors:  J Wakeley; N Aliacar
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

2.  Allelic diversity and its implications for the rate of adaptation.

Authors:  Armando Caballero; Aurora García-Dorado
Journal:  Genetics       Date:  2013-10-11       Impact factor: 4.562

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

Authors:  Morihiro Notohara
Journal:  J Math Biol       Date:  2009-12-24       Impact factor: 2.259

4.  The expected number of heterozygous sites in a subdivided population.

Authors:  T Nagylaki
Journal:  Genetics       Date:  1998-07       Impact factor: 4.562

5.  On the Recombination Rate Estimation in the Presence of Population Substructure.

Authors:  Julian Hecker; Dmitry Prokopenko; Christoph Lange; Heide Löhlein Fier
Journal:  PLoS One       Date:  2015-12-30       Impact factor: 3.240

6.  Testing comparative phylogeographic models of marine vicariance and dispersal using a hierarchical Bayesian approach.

Authors:  Michael J Hickerson; Christopher P Meyer
Journal:  BMC Evol Biol       Date:  2008-11-27       Impact factor: 3.260

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.