ESTIMATION OF GENE FLOW FROM F‐STATISTICS

We present theory clarifying the general behavior of FST‐based and GST‐based estimators of gene flow, and confirm these predictions with simulations. In particular, we use the correlation of genes within groups within populations to define an estimator. The theoretical value of the correlation doe not depend on the number of groups in a population, and properties of the estimated correlation do not depend on the number of groups sampled or the number of individuals sampled per group. This invariance is in contrast to properties of GST. For a complete census of a population, bias and variance considerations would suggest the use of the GST‐based estimator of gene flow, but lack of knowledge of population size or group number in practice suggests preference be given to the correlation‐based estimator. We acknowledge that these estimators require that several conditions of a population‐genetic model be met, since they do not make use of direct observations on the flow of genes. Our results differ from some of those based on simulation in a series of recent papers by M. Slatkin.

[1]  M. Slatkin,et al.  A COMPARISON OF THREE INDIRECT METHODS FOR ESTIMATING AVERAGE LEVELS OF GENE FLOW , 1989, Evolution; international journal of organic evolution.

[2]  M. Slatkin Population structure and evolutionary progress. , 1989, Genome.

[3]  B. Weir,et al.  Correlations, descent measures: drift with migration and mutation. , 1987, Proceedings of the National Academy of Sciences of the United States of America.

[4]  B. Weir,et al.  ESTIMATING F‐STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE , 1984, Evolution; international journal of organic evolution.

[5]  J. Crow,et al.  Group selection for a polygenic behavioral trait: estimating the degree of population subdivision. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[6]  M. Nei,et al.  MOLECULAR POPULATION GENETICS AND EVOLUTION , 1976 .

[7]  M. Nei Analysis of gene diversity in subdivided populations. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[8]  C. Cockerham,et al.  Analyses of gene frequencies. , 1973, Genetics.

[9]  T. Bogyo,et al.  Effect of selection and linkage on inbreeding. , 1968, Australian Journal of Biological Sciences.

[10]  J. L. Gill,et al.  Effects of selection and linkage on degree of inbreeding. , 1966, Australian journal of biological sciences.

[11]  S. Wright,et al.  Isolation by Distance. , 1943, Genetics.

[12]  M. Kendall Statistical Methods for Research Workers , 1937, Nature.