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Titolo:
SPATIAL DISTRIBUTIONS OF GENOTYPES UNDER ISOLATION BY DISTANCE
Autore:
EPPERSON BK;
Indirizzi:
MICHIGAN STATE UNIV,DEPT FORESTRY E LANSING MI 48824
Titolo Testata:
Genetics
fascicolo: 4, volume: 140, anno: 1995,
pagine: 1431 - 1440
SICI:
0016-6731(1995)140:4<1431:SDOGUI>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Soggetto:
AUTO-CORRELATION ANALYSIS; AUTOCORRELATION ANALYSIS; PLANT-POPULATIONS; GENETIC-VARIATION; POLYMORPHISMS; SELECTION; PATTERNS; BIOLOGY; MODEL;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
29
Recensione:
Indirizzi per estratti:
Citazione:
B.K. Epperson, "SPATIAL DISTRIBUTIONS OF GENOTYPES UNDER ISOLATION BY DISTANCE", Genetics, 140(4), 1995, pp. 1431-1440

Abstract

The spatial distributions of single-locus diploid genotypes, producedwithin populations of sexually reproducing individuals under isolation by distance, are measured and characterized in detail by quantifyingthe join-counts for simulated model populations. The models more realistically reflect spatially explicit distributions of genotypes in populations, because unlike the classical theory, they include the stochasticity inherent in the process of matings between genotypes. This stochasticity causes the formation of large areas or patches containing mostly one homozygous genotype, which is not predicted by the classicaltheory. A number of previously uncharacterized features of the spatial structures produced under isolation by distance are revealed. Spatial autocorrelation measures based on counts of pairs of homozygotes arehighly consistent quantifications of the concentrations of homozygotes in patchy genotypic distributions for a given level of dispersal. Most strikingly, the degree of intermixing of homozygotes with heterozygotes over small spatial scales is much higher than previously thought,unless dispersal is extremely limited (e.g., WRIGHT'S neigborhood size less than similar to 5.0). Among implications for studies of spatialstructure of real populations, one is that the results provide a basis for using join-counts as estimators of gene dispersal based solely on genetic data.

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Documento generato il 29/11/20 alle ore 00:34:55