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

Roderick Dewar, William Sherwin, Emma Thomas, Clare Holleley, Richard Nichols

    Research output: Contribution to journalArticle

    10 Citations (Scopus)

    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 Wrightâ¿¿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.
    Original languageEnglish
    Pages (from-to)3156-3166
    Number of pages11
    JournalMolecular Ecology
    Volume20
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    single nucleotide polymorphism
    Single Nucleotide Polymorphism
    polymorphism
    prediction
    Population
    loci
    genetic polymorphism
    genetic differentiation
    Haploidy
    mutation
    allele
    Diptera
    haploidy
    Drosophila
    Nucleotides
    nucleotides
    Alleles
    alleles
    Biological Sciences
    genetic variation

    Cite this

    Dewar, Roderick ; Sherwin, William ; Thomas, Emma ; Holleley, Clare ; Nichols, Richard. / Predictions of single-nucleotide polymorphism differentiation between two populations in terms of mutual information. In: Molecular Ecology. 2011 ; Vol. 20. pp. 3156-3166.
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    title = "Predictions of single-nucleotide polymorphism differentiation between two populations in terms of mutual information",
    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{\^a}¿¿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.",
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    author = "Roderick Dewar and William Sherwin and Emma Thomas and Clare Holleley and Richard Nichols",
    year = "2011",
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    Predictions of single-nucleotide polymorphism differentiation between two populations in terms of mutual information. / Dewar, Roderick; Sherwin, William; Thomas, Emma; Holleley, Clare; Nichols, Richard.

    In: Molecular Ecology, Vol. 20, 2011, p. 3156-3166.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Predictions of single-nucleotide polymorphism differentiation between two populations in terms of mutual information

    AU - Dewar, Roderick

    AU - Sherwin, William

    AU - Thomas, Emma

    AU - Holleley, Clare

    AU - Nichols, Richard

    PY - 2011

    Y1 - 2011

    N2 - 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 Wrightâ¿¿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.

    AB - 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 Wrightâ¿¿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.

    KW - biodiversity

    KW - drift-mutation-dispersal

    KW - migration

    KW - population genetics

    KW - single-nucleotide polymorphism

    KW - SNP.

    U2 - 10.1111/j.1365-294X.2011.05171.x

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

    M3 - Article

    VL - 20

    SP - 3156

    EP - 3166

    JO - Molecular Biology

    JF - Molecular Biology

    SN - 0962-1083

    ER -