Genetic Differentiation and Estimation of Gene Flow from F-Statistics Under Isolation by Distance

Genetic Differentiation and Estimation of Gene Flow from F-Statistics Under Isolation by Distance Manuscript received September 17, 1996 Accepted for publication December 20, 1996 ABSTRACT I reexamine the use of isolation b distance models as a basis for the estimation of demographic y parameters from measures of population subdivision. To thataim, I first provide results for values of F statistics in one-dimensional models and coalescence times in two-dimensional models, and make more precise earlier results for Fstatistics in two-dimensional models and coalescence times in onedimensional models. Based on these results,I propose a method of data analysis involving the regression of Fyr/ (1 - FST) estimates for pairs subpopulationson geographic distance populations along linear habitats of for or logarithmof distance for populations two-dimensional habitats. This regression provides in princiin ple an estimate of the productof population density and second moment parental axial distance. of In two cases where comparison to direct estimates is possible, the method proposed here more satisfactory is than previous indirect methods. NALYSES of the structure of natural populations are often based on the island or stepping stone models. Functions of probabilities of identity of genes within and between units, such as Fsr, are estimated and compared to expectations under the island model. The relationship between Fs7. and the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Genetics Genetics Society of America

Genetic Differentiation and Estimation of Gene Flow from F-Statistics Under Isolation by Distance

Genetics, Volume 145: 1219 – Apr 1, 1997

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Publisher
Genetics Society of America
Copyright
Copyright © 1997 by the Genetics Society of America
ISSN
0016-6731
eISSN
1943-2631
Publisher site
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Abstract

Manuscript received September 17, 1996 Accepted for publication December 20, 1996 ABSTRACT I reexamine the use of isolation b distance models as a basis for the estimation of demographic y parameters from measures of population subdivision. To thataim, I first provide results for values of F statistics in one-dimensional models and coalescence times in two-dimensional models, and make more precise earlier results for Fstatistics in two-dimensional models and coalescence times in onedimensional models. Based on these results,I propose a method of data analysis involving the regression of Fyr/ (1 - FST) estimates for pairs subpopulationson geographic distance populations along linear habitats of for or logarithmof distance for populations two-dimensional habitats. This regression provides in princiin ple an estimate of the productof population density and second moment parental axial distance. of In two cases where comparison to direct estimates is possible, the method proposed here more satisfactory is than previous indirect methods. NALYSES of the structure of natural populations are often based on the island or stepping stone models. Functions of probabilities of identity of genes within and between units, such as Fsr, are estimated and compared to expectations under the island model. The relationship between Fs7. and the

Journal

GeneticsGenetics Society of America

Published: Apr 1, 1997

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