The expected number of heterozygous sites in a subdivided population.

Genetics
T Nagylaki

Abstract

A simple, exact formula is derived for the expected number of heterozygous sites per individual at equilibrium in a subdivided population. The model of infinitely many neutral sites is posited; the linkage map is arbitrary. The monoecious, diploid population is subdivided into a finite number of panmictic colonies that exchange gametes. The backward migration matrix is arbitrary, but time independent and ergodic (i.e., irreducible and aperiodic). With suitable weighting, the expected number of heterozygous sites is 4Neu, where Ne denotes the migration effective population number and u designates the total mutation rate per gene (or DNA sequence). For diploid migration, this formula is a good approximation if Ne >> 1.

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Citations

Nov 21, 2007·Journal of Evolutionary Biology·A P MøllerC N Spottiswoode
Oct 7, 2004·Theoretical Population Biology·Hilde M Wilkinson-Herbots, Rob Ettridge
Jan 10, 2018·Genetics·Harald RingbauerNicholas H Barton
May 2, 2007·Theoretical Population Biology·Thomas Nagylaki, Yuan Lou
Jul 22, 2006·Theoretical Population Biology·John Wakeley, Sabin Lessard
May 18, 2019·Molecular Ecology Resources·Erik Lundgren, Peter L Ralph
Jul 3, 2003·Evolution; International Journal of Organic Evolution·John R Pannell
Dec 29, 2000·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·B Charlesworth, D Charlesworth
Jan 10, 2003·Molecular Biology and Evolution·Nicolas RayLaurent Excoffier
Oct 19, 2001·Genetics·J Wakeley, N Aliacar
Jun 20, 2002·Genetics·Jon F Wilkins, John Wakeley
Feb 24, 2001·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·J R Pannell, B Charlesworth
Oct 14, 2008·Proceedings of the National Academy of Sciences of the United States of America·Anders Pape MøllerEsa Lehikoinen
Apr 17, 2001·Theoretical Population Biology·J R Pannell, S C Barrett
Sep 10, 2009·Heredity·J van HeerwaardenJ Ross-Ibarra
Sep 28, 2010·Theoretical Population Biology·Thomas Nagylaki

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