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Titolo:
A SIMULATION STUDY OF MICROEVOLUTIONARY INFERENCES BY SPATIAL AUTOCORRELATION ANALYSIS
Autore:
SOKAL RR; ODEN NL; THOMSON BA;
Indirizzi:
SUNY STONY BROOK,DEPT ECOL & EVOLUT STONY BROOK NY 11794 EMMES CORP POTOMAC MD 20854
Titolo Testata:
Biological Journal of the Linnean Society
fascicolo: 1, volume: 60, anno: 1997,
pagine: 73 - 93
SICI:
0024-4066(1997)60:1<73:ASSOMI>2.0.ZU;2-9
Fonte:
ISI
Lingua:
ENG
Soggetto:
AUTO-CORRELATION ANALYSIS; POPULATION-GENETICS; PATTERNS; FREQUENCIES; BIOLOGY;
Keywords:
SPATIAL AUTOCORRELATION; MICROEVOLUTION; SIMULATION; MIGRATION SELECTION; DRIFT;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
25
Recensione:
Indirizzi per estratti:
Citazione:
R.R. Sokal et al., "A SIMULATION STUDY OF MICROEVOLUTIONARY INFERENCES BY SPATIAL AUTOCORRELATION ANALYSIS", Biological Journal of the Linnean Society, 60(1), 1997, pp. 73-93

Abstract

To explore tile extent to which microevolutionary inference can be made using spatial autocorrelation analysis of gene frequency surfaces, we simulated sets of surfaces for nine evolutionary scenarios, and subjected spatially-based summary statistics of these to linear discriminant analysis. Scenarios varied the amounts of dispersion, selection, migration, and deme sizes; and included: panmixia, drift, intrusion, and stepping-stone models with 0-2 migrations, 0-2 selection gradients, and mig-ration plus selection. To discover how weak evolutionary forces could be and still allow discrimination, each scenario had both a strong and a weak configuration. Discriminant rules were calculated using one collection of data (the training set) consisting of 250 sets of 15 surfaces for each of the nine scenarios. Misclassification rates were verified against a second, entirely new set of data (the lest set) equal in size. Test set misclassification rates for the 20 best discriminating variables ranged from 39.3% (weak) to 3.6% (strong), far lower than the expected rate of 88.9% absent any discriminating ability. Misclassification was highest when discriminating the number of migrational events or the presence or number of selection events. Discrimination of drift and panmixia from the other scenarios was perfect. A subsequent subjective analysis of a subset of the data by one of us yielded comparable, although somewhat higher, misclassification rates. Judging by these results, spatial autocorrelation variables describing setsof gene frequency surfaces permit some microevolutionary inferences. (C) 1997 The Linnean Society of London.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/11/20 alle ore 15:47:04