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Detecting and comparing the direction of gene-frequency gradients

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Abstract

Directional gene flow between genetically differentiated populations leads to parallel gene-frequency gradients at various loci; processes of differential selection are not expected to result in equally oriented patterns of gene frequencies. Therefore, inferences on the mechanisms maintaining genetic diversity can be drawn by comparing the directions of clines at different loci. An approach to quantifying the orientation of a cline is put forward here. The method is based on description of gene-frequency variance as a function of distance between populations, by means of directional variograms. The mean axis of the cline is then computed by averaging the directional components of variation; it can be regarded as the axis along which the frequencies of an allele vary showing the maximum degree of order. The significance of the mean axis can be tested, and the directions of two clines can be compared, using techniques developed in circular statistics. An example of application of this method to human gene frequencies is presented. Discordant clines are observed at six electrophoretically polymorphic loci in Eurasian populations. Only a fraction of such clines can be accounted for by the Neolithic radiation of early farmers in the Middle East and Europe.

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References

  • Ammerman A J and Cavalli-Sforza L L 1984The neolithic transition and the genetics of populations in Europe (Princeton: University Press)

    Google Scholar 

  • Barbujani G 1987a Autocorrelation of gene frequencies under isolation by distance.Genetics 117: 777–782

    PubMed  CAS  Google Scholar 

  • Barbujani G 1987b Diversity of some gene frequencies in European and Asian populations. III. Spatial correlogram analysis.Ann. Hum. Genet. 51: 345–353

    Article  PubMed  CAS  Google Scholar 

  • Barbujani G 1988 Diversity of some gene frequencies in European and Asian populations. IV. Genetic population structure assessed by the variogram.Ann. Hum. Genet. 52 (in press)

  • Barbujani G and Milani F. 1986 Diversity of some gene frequencies in European and Asian populations. Effects of longitude.J. Hum. Evol. 15: 61–69

    Article  Google Scholar 

  • Batschelet E 1965Statistical methods for the analysis of problems in animal orientation and certain biological rhythms, AIBS monograph (Washington: American Institute of Biological Sciences)

    Google Scholar 

  • Batschelet E 1981Circular statistics in biology (London: Academic Press)

    Google Scholar 

  • Cavalli-Sforza L L 1984 Isolation by distance. InHuman population genetics. The Pittsburgh symposium (eds) A Chakravarti (New York: Van Nostrand Reinhold) pp. 229–248

    Google Scholar 

  • Delfiner P 1979Basic introduction to geostatistics (Fontaineblau: Centre de Morphologic Mathematiquc)

    Google Scholar 

  • Easteal S 1985 The ecological genetics of introduced populations of the giant toad,Bufo marinus. III. Geographical patterns of variation.Evolution 39: 1065–1075

    Article  Google Scholar 

  • Endler J A 1977Geographic variation, speciation, and clines (Princeton: University Press)

    Google Scholar 

  • Endler J A 1986Natural selection in the wild (Princeton: University Press)

    Google Scholar 

  • Felsenstein J 1982 How can we infer geography and history from gene frequencies?J. Theor. Biol. 96: 9–20

    Article  PubMed  CAS  Google Scholar 

  • Gabriel K R and Sokal R R 1969 A new statistical approach to geographic variation analysis.Syst. Zool. 18: 259–278

    Article  Google Scholar 

  • Greenwood J A and Durand D 1955 The distribution of length and components of the sum of n random unit vectors.Ann. Math. Slat. 26: 233–246

    Article  Google Scholar 

  • Harding R M, Sokal R R and Oden N L 1987 An examination of spatial patterns of gene frequencies in Europe.Am. J. Phys. Anthropol. 72: 207–208

    Google Scholar 

  • Kimura M and Weiss G H 1964 The stepping stone model of population structure and the decrease of genetic correlation with distance.Genetics 49: 561–576

    PubMed  CAS  Google Scholar 

  • Malécot G 1948Les mathématiques de I’hérédite (Paris: Masson et C.ie)

    Google Scholar 

  • Malécot G 1973 Isolation by distance. InGenetic structure of populations (eds) N E Morton (Honolulu: University of Hawaii Press) pp. 72–75

    Google Scholar 

  • Matheron G 1970La théorie des variables regionalisées, et ses applications (Fontaineblau: Centre de Morphologie Mathematique)

    Google Scholar 

  • Matula D W and Sokal R R 1980 Properties of Gabriel graphs relevant to geographic variation research and the clustering of points in the plane.Geogr. Anal. 12: 205–222

    Google Scholar 

  • Menozzi P, Piazza A and Cavalli-Sforza L L 1978 Synthetic maps of human gene frequencies in Europeans.Science 201: 786–792

    Article  PubMed  CAS  Google Scholar 

  • Morton N E 1973 Kinship and population structure. InGenetic structure of populations (eds) N E Morton (Honolulu: University of Hawaii Press) pp. 64–69

    Google Scholar 

  • Morton N E, Miki C and Yee S 1968 Bioassay of population structure under isolation by distance.Am. J. Hum. Genet. 32: 37–41

    Google Scholar 

  • Nevo E 1978 Genetic variation in natural populations: Patterns and theory.Theor. Popul. Biol. 13: 121–177

    Article  PubMed  CAS  Google Scholar 

  • Oakeshott J G, Chambers K C, Gibson J B and Wilcocks D A 1981 Latitudinal relationship of esterase-6 and phosphoglucomutase gene frequencies inDrosophila melanogaster.Heredity 47: 385–396

    Article  PubMed  CAS  Google Scholar 

  • Oden N L and Sokal R R 1986 Directional autocorrelation: an extension of spatial correlograms to two dimensions.Syst. Zool. 35: 608–617

    Article  Google Scholar 

  • Piazza A and Menozzi P 1983 Geographic variation in human gene frequencies. InNumerical taxonomy (eds) J Felsenstein (Berlin: Springer) pp. 444–450

    Google Scholar 

  • Piazza A, Menozzi P and Cavalli-Sforza L L 1981a The making and testing of geographic gene frequency maps.Biometrics 37: 635–659

    Article  Google Scholar 

  • Piazza A, Menozzi P and Cavalli-Sforza L L 1981b Synthetic gene frequency maps of man and selective effects of climate.Proc. Natl. Acad. Sci. USA 78: 2638–2642

    Article  PubMed  CAS  Google Scholar 

  • Sokal R R 1983 Analyzing character variation in geographic space. InNumerical taxonomy (eds) J Felsenstein (Berlin: Springer Verlag) pp. 384–403

    Google Scholar 

  • Sokal R R 1986 Spatial data analysis and historical processes. InData analysis and information (eds) E Diday, Y Escoufier, L Lebart, J Pages, Y Schektman and R Tomassone (Amsterdam: Elsevier) pp. 29–43

    Google Scholar 

  • Sokal R R and Oden N L 1978a Spatial autocorrelation in biology. 1. Methodology.Biol. J. Linn. Soc. 10: 209–228

    Google Scholar 

  • Sokal R R and Oden N L 1978b Spatial autocorrelation in biology. 2. Some biological implications and four applications of evolutionary and ecological interest.Biol. J. Linn. Soc. 10: 229–249

    Article  Google Scholar 

  • Sokal R R, Oden N L and Barker J S F 1987 Spatial structure inDrosophila buzzatii populations: simple and directional spatial autocorrelation.Am. Nat. 129: 122–142

    Article  Google Scholar 

  • Watson G S and Williams E J 1956 On the construction of significance tests on the circle and the sphere.Biometrika 49: 57–63

    Google Scholar 

  • Wijsman E M and Cavalli-Sforza L L 1984 Migration and genetic population structure with special reference to humans.Anna. Rev. Ecol. Syst. 15: 279–301

    Article  Google Scholar 

  • Wright S 1965 The interpretation of population structure by F-statistics with special regard to systems of mating.Evolution 19: 395–420

    Article  Google Scholar 

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Contribution 685 in Ecology and Evolution from the State University of New York at Stony Brook This paper is dedicated to my father, Fernando Barbujani, on his 65th birthday

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Barbujani, G. Detecting and comparing the direction of gene-frequency gradients. J. Genet. 67, 129–140 (1988). https://doi.org/10.1007/BF02927793

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  • DOI: https://doi.org/10.1007/BF02927793

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