Is FST obsolete?

Since the introduction of allozyme methods inthe mid 1960s it has been a standard practiceto report Wright's measure of populationsubdivision, FST, for surveys ofgenetic variation. Its widespread use hasprovided us with a sense of what values can beexpected in particular situations and how theycan be interpreted. With some theoreticaljustification, FST has also beenused to estimate rates of gene flow. Howeverthere are conditions under which FSTis inappropriate for gene flow estimation andcan lead to incorrect or even absurdconclusions. These pitfalls have promptedcritics to suggest that FST hasfailed to deliver what its proponents havepromised and should be abandoned. A furtherchallenge has been the development of newmethods that offer even greater promise. Thusit is reasonable to ask if perhaps it is timeto retire FST and turn to new andmore powerful methods for the inference of geneflow from genetic markers. Here I will arguethat although gene flow should be estimated bymore powerful approaches whenever practical,FST remains a useful measure of theaverage effects of gene flow and will continueto be used for comparative purposes.

[1]  S. Wright,et al.  Evolution in Mendelian Populations. , 1931, Genetics.

[2]  Sewall Wright,et al.  Breeding Structure of Populations in Relation to Speciation , 1940, The American Naturalist.

[3]  S WRIGHT,et al.  Genetical Structure of Populations , 1950, British medical journal.

[4]  S. Wright THE INTERPRETATION OF POPULATION STRUCTURE BY F‐STATISTICS WITH SPECIAL REGARD TO SYSTEMS OF MATING , 1965 .

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

[6]  J. Felsenstein,et al.  How can we infer geography and history from gene frequencies? , 1982, Journal of theoretical biology.

[7]  N. Barton,et al.  Rare electrophoretic variants in a hybrid zone , 1983, Heredity.

[8]  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.

[9]  S. Tavaré,et al.  Line-of-descent and genealogical processes, and their applications in population genetics models. , 1984, Theoretical population biology.

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

[11]  Montgomery Slatkin,et al.  Gene Flow in Natural Populations , 1985 .

[12]  J. Neigel,et al.  Intraspecific Phylogeography: The Mitochondrial DNA Bridge Between Population Genetics and Systematics , 1987 .

[13]  R. Powell,et al.  Electrophoretic Variation, Regional Differences, and Gene Flow in the Coho Salmon (Oncorhynchus kisutch) of Southern British Colombia , 1987 .

[14]  M Slatkin,et al.  Gene flow and the geographic structure of natural populations. , 1987, Science.

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

[16]  M. Lynch,et al.  The analysis of population survey data on DNA sequence variation. , 1990, Molecular biology and evolution.

[17]  J. Neigel,et al.  GENE GENEALOGIES WITHIN THE ORGANISMAL PEDIGREES OF RANDOM‐MATING POPULATIONS , 1990, Evolution; international journal of organic evolution.

[18]  N. Ellstrand,et al.  THE DEVELOPMENT AND APPLICATION OF A REFINED METHOD FOR ESTIMATING GENE FLOW FROM ANGIOSPERM PATERNITY ANALYSIS , 1990, Evolution; international journal of organic evolution.

[19]  M. Slatkin,et al.  Pairwise comparisons of mitochondrial DNA sequences in stable and exponentially growing populations. , 1991, Genetics.

[20]  M. Slatkin Inbreeding coefficients and coalescence times. , 1991, Genetical research.

[21]  L. Excoffier,et al.  Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. , 1992, Genetics.

[22]  Montgomery Slatkin,et al.  ISOLATION BY DISTANCE IN EQUILIBRIUM AND NON‐EQUILIBRIUM POPULATIONS , 1993, Evolution; international journal of organic evolution.

[23]  M Slatkin,et al.  A measure of population subdivision based on microsatellite allele frequencies. , 1995, Genetics.

[24]  J. M. Scriber,et al.  MAINTENANCE OF ECOLOGICALLY SIGNIFICANT GENETIC VARIATION IN THE TIGER SWALLOWTAIL BUTTERFLY THROUGH DIFFERENTIAL SELECTION AND GENE FLOW , 1995, Evolution; international journal of organic evolution.

[25]  J. Neigel,et al.  A COMPARISON OF ALTERNATIVE STRATEGIES FOR ESTIMATINGGENE FLOW FROM GENETIC MARKERS1 , 1997 .

[26]  Is population genetics mired in the past? , 1998, Trends in ecology & evolution.

[27]  J. Bossart,et al.  Genetic estimates of population structure and gene flow: Limitations, lessons and new directions. , 1998, Trends in ecology & evolution.

[28]  Mark A. Beaumont,et al.  Microsatellite analysis of genetic diversity in fragmented South African buffalo populations , 1998 .

[29]  Templeton,et al.  Nested clade analyses of phylogeographic data: testing hypotheses about gene flow and population history , 1998, Molecular ecology.

[30]  M. Slatkin,et al.  MAXIMUM‐LIKELIHOOD ESTIMATION OF POPULATION DIVERGENCE TIMES AND POPULATION PHYLOGENY IN MODELS WITHOUT MUTATION , 1998, Evolution; international journal of organic evolution.

[31]  R. Waples Separating the wheat from the chaff: patterns of genetic differentiation in high gene flow species , 1998 .

[32]  P. Hedrick PERSPECTIVE: HIGHLY VARIABLE LOCI AND THEIR INTERPRETATION IN EVOLUTION AND CONSERVATION , 1999, Evolution; international journal of organic evolution.

[33]  M. Whitlock,et al.  Indirect measures of gene flow and migration: FST≠1/(4Nm+1) , 1999, Heredity.

[34]  J. Felsenstein,et al.  Maximum-likelihood estimation of migration rates and effective population numbers in two populations using a coalescent approach. , 1999, Genetics.

[35]  A. Bohonak,et al.  Dispersal, Gene Flow, and Population Structure , 1999, The Quarterly Review of Biology.

[36]  J. Neigel,et al.  ENHANCING THE RETRDEVABILITY OF POPULATION GENETIC SURVEY DATA? AN ASSESSMENT OF ANIMAL MITOCHONDRIAL DNA STUDIES , 1999, Evolution; international journal of organic evolution.

[37]  M. Whitlock,et al.  Indirect measures of gene flow and migration: FST not equal to 1/(4Nm + 1). , 1999, Heredity.

[38]  Roderick,et al.  Determining the source of individuals: multilocus genotyping in nonequilibrium population genetics. , 1999, Trends in ecology & evolution.

[39]  J. Searle Phylogeography — The History and Formation of Species , 2000, Heredity.

[40]  LIKELIHOOD ANALYSIS OF ONGOING GENE FLOW AND HISTORICAL ASSOCIATION , 2000, Evolution; international journal of organic evolution.

[41]  François Balloux,et al.  MICROSATELLITES CAN BE MISLEADING: AN EMPIRICAL AND SIMULATION STUDY , 2000, Evolution; international journal of organic evolution.

[42]  Peter Beerli,et al.  Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[43]  M. Richard,et al.  Can microsatellites be used to infer phylogenies? Evidence from population affinities of the Western Canary Island lizard (Gallotia galloti). , 2001, Molecular phylogenetics and evolution.

[44]  J. Neigel,et al.  Demographic influences on mitochondrial DNA lineage survivorship in animal populations , 2005, Journal of Molecular Evolution.