Predictions of single-nucleotide polymorphism differentiation between two populations in terms of mutual information

Date

2011

Authors

Dewar, Roderick
Sherwin, William
Thomas, Emma
Holleley, Clare E.
Nichols, Richard A.

Journal Title

Journal ISSN

Volume Title

Publisher

Blackwell Publishing Ltd

Abstract

Mutual information (I) provides a robust measure of genetic differentiation for the purposes of estimating dispersal between populations. At present, however, there is little predictive theory for I. The growing importance in population biology of analyses of single-nucleotide and other single-feature polymorphisms (SFPs) is a potent reason for developing an analytic theory for I with respect to a single locus. This study represents a first step towards such a theory. We present theoretical predictions of I between two populations with respect to a single haploid biallelic locus. Dynamical and steady-state forecasts of I are derived from a Wright-Fisher model with symmetrical mutation between alleles and symmetrical dispersal between populations. Analytical predictions of a simple Taylor approximation to I are in good agreement with numerical simulations of I and with data on I from SFP analyses of dispersal experiments on Drosophila fly populations. The theory presented here also provides a basis for the future inclusion of selection effects and extension to multiallelic loci.

Description

Keywords

Keywords: allele; animal; article; biological model; comparative study; Drosophila melanogaster; genetics; methodology; mutation; population genetics; single nucleotide polymorphism; Alleles; Animals; Drosophila melanogaster; Genetics, Population; Models, Genetic; biodiversity; drift-mutation-dispersal; migration; population genetics; single-nucleotide polymorphism; SNP

Citation

Source

Molecular Ecology

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1111/j.1365-294X.2011.05171.x

Restricted until

2037-12-31