Literature DB >> 4630250

Gene flow and population differentiation.

J A Endler.   

Abstract

There are many possible spatial patterns of selection and gene flow that can produce a given cline structure; the actual geography of natural selection and gene flow must be worked out before an attempt is made to explain a given natural cline in terms of a model. The results of experimental and theoretical models show that it is possible for local differentiation to evolve parapatrically in spite of considerable gene flow if the selection gradients are relatively uniform. Irregularities in environmental gradients increase the sensitivity of clines to the effects of gene flow in proportion to the increase in the differences in gene frequencies between the emigrants and the demes receiving the immigrants. It is not necessary for a sharp spatial environmental change to be present for distinct differentiation to occur. In some cases even a gentle environmental gradient can give rise to marked spatial differentiation along a genetically continuous series of demes; such environmental differences may be below the practical limits of resolution in field studies. Any asymmetry in gene flow does not lead to dedifferentiation if the environmental gradient is smooth; it merely shifts the position of the transition zone between the differentiated areas from that which would be expected if there were no asymmetry. Abrupt geographic differences in gene, genotype, or morph frequencies should not, therefore, be interpreted as evidence for environmental changes in the immediate vicinity of the steepest part of the cline; neither should they be interpreted as evidence for geographic barriers, sharp environmental differences, or sexual isolation among the differentiated groups of populations when there are no other sources of evidence for these phenomena. Gene flow may be unimportant in the differentiation of populations along environmental gradients.

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Year:  1973        PMID: 4630250     DOI: 10.1126/science.179.4070.243

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  44 in total

1.  Population-genomic inference of the strength and timing of selection against gene flow.

Authors:  Simon Aeschbacher; Jessica P Selby; John H Willis; Graham Coop
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-20       Impact factor: 11.205

2.  Gene flow by immigrants into isolated recipient populations: a laboratory model using flour beetles.

Authors:  B Kaufman; D Wool
Journal:  Genetica       Date:  1992       Impact factor: 1.082

3.  On the origin of Lake Malawi cichlid species: a population genetic analysis of divergence.

Authors:  Yong-Jin Won; Arjun Sivasundar; Yong Wang; Jody Hey
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-25       Impact factor: 11.205

4.  Population studies on an endemic troglobitic beetle: geographical patterns of genetic variation, gene flow and genetic structure compared with morphometric data.

Authors:  B Crouau-Roy
Journal:  Genetics       Date:  1989-03       Impact factor: 4.562

5.  Single-locus polymorphism in a heterogeneous two-deme model.

Authors:  Bastiaan Star; Rick J Stoffels; Hamish G Spencer
Journal:  Genetics       Date:  2007-05-04       Impact factor: 4.562

6.  Extremely reduced dispersal and gene flow in an island bird.

Authors:  J A M Bertrand; Y X C Bourgeois; B Delahaie; T Duval; R García-Jiménez; J Cornuault; P Heeb; B Milá; B Pujol; C Thébaud
Journal:  Heredity (Edinb)       Date:  2013-10-02       Impact factor: 3.821

7.  Antagonistic selection factors induce a continuous population divergence in a polymorphism.

Authors:  Y Takahashi; N Nagata; M Kawata
Journal:  Heredity (Edinb)       Date:  2013-11-27       Impact factor: 3.821

8.  Trait dimensionality explains widespread variation in local adaptation.

Authors:  Ailene MacPherson; Paul A Hohenlohe; Scott L Nuismer
Journal:  Proc Biol Sci       Date:  2015-03-07       Impact factor: 5.349

9.  Cold tolerance in the genus Arabidopsis.

Authors:  Jessica J Armstrong; Naoki Takebayashi; Diana E Wolf
Journal:  Am J Bot       Date:  2020-02-24       Impact factor: 3.844

10.  How humans differ from other animals in their levels of morphological variation.

Authors:  Ann E McKellar; Andrew P Hendry
Journal:  PLoS One       Date:  2009-09-01       Impact factor: 3.240

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