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Titolo:
Measures of spatial structure in samples of genotypes for multiallelic loci
Autore:
Epperson, BK; Huang, Z; Li, TQ;
Indirizzi:
Michigan State Univ, Dept Forestry, E Lansing, MI 48824 USA Michigan StateUniv E Lansing MI USA 48824 estry, E Lansing, MI 48824 USA
Titolo Testata:
GENETICAL RESEARCH
fascicolo: 3, volume: 73, anno: 1999,
pagine: 251 - 261
SICI:
0016-6723(199906)73:3<251:MOSSIS>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
AUTO-CORRELATION ANALYSIS; BY-DISTANCE MODEL; GENETIC-STRUCTURE; AUTOCORRELATION; POPULATIONS; DISPERSAL; SELECTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Epperson, BK Michigan State Univ, Dept Forestry, E Lansing, MI 48824 USA Michigan State Univ E Lansing MI USA 48824 ing, MI 48824 USA
Citazione:
B.K. Epperson et al., "Measures of spatial structure in samples of genotypes for multiallelic loci", GENET RES, 73(3), 1999, pp. 251-261

Abstract

Various spatial autocorrelation statistics have been widely used both in theoretical population genetics and to study the spatial distribution of diploid genotypes in many plant and animal populations. However, previous simulation studies have considered only diallelic loci. In this paper, we use alarge number of space-time simulations to characterize for the first time the parametric and statistical values of Moran's I-statistics for convertedindividual genotypes as well as for join-count statistics. A wide range oflevels of dispersal and numbers of alleles and allele frequencies are modelled and the results reveal the different general effects of each of these factors on these statistics. We also examine the range of appropriate sampling designs and sizes for which predicted values can be interpolated for specific sampling schemes for any given population genetic field survey. Numbers of alleles and allele frequencies each affect some statistics but not others. The results indicate generally low standard deviations. The results also develop precise and efficient methods of estimating gene dispersal, based on the various autocorrelation measures of standing spatial patterns ofgenetic variation within populations. The results also extend these methods to loci with multiple alleles, typical of those studied through modern molecular methods.

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Documento generato il 05/12/20 alle ore 01:36:59