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Titolo:
Spatial autocorrelation of allozyme and quantitative markers within a natural population of Centaurea jacea (Asteraceae)
Autore:
Hardy, OJ; Vanderhoeven, S; Meerts, P; Vekemans, X;
Indirizzi:
Free Univ Brussels, Lab Genet & Ecol Vegetales, B-1160 Brussels, Belgium Free Univ Brussels Brussels Belgium B-1160 les, B-1160 Brussels, Belgium
Titolo Testata:
JOURNAL OF EVOLUTIONARY BIOLOGY
fascicolo: 4, volume: 13, anno: 2000,
pagine: 656 - 667
SICI:
1010-061X(200007)13:4<656:SAOAAQ>2.0.ZU;2-K
Fonte:
ISI
Lingua:
ENG
Soggetto:
GENETIC-VARIATION; F-STATISTICS; CHARACTERS; TRAITS; DIFFERENTIATION; FREQUENCIES; SELECTION; DISTANCE; GENOTYPES; CLINE;
Keywords:
allozymes; Centaurea; genetic drift; Moran's I; quantitative genetics; selection; simulation; spatial autocorrelation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
38
Recensione:
Indirizzi per estratti:
Indirizzo: Hardy, OJ Free Univ Brussels, Lab Genet & Ecol Vegetales, Chaussee Wavre 1850, B-1160 Brussels, Belgium Free Univ Brussels Chaussee Wavre 1850 Brussels Belgium B-1160
Citazione:
O.J. Hardy et al., "Spatial autocorrelation of allozyme and quantitative markers within a natural population of Centaurea jacea (Asteraceae)", J EVOL BIOL, 13(4), 2000, pp. 656-667

Abstract

This paper compares the fine-scale genetic structure of quantitative traits and allozyme markers within a natural population of Centaurea jacea s.l. To that end, a spatial autocorrelation approach is developed based on pairwise correlation coefficients between individuals and using sib families. Statistical properties of the proposed statistics are investigated with numerical simulations. Our results show that most quantitative traits have a significant spatial structure for their genetic component. On average, allozyme markers and the genetic component of quantitative traits have similar patterns of spatial autocorrelation that are consistent with a neutral model of isolation by distance. We also show evidence that environmental heterogeneity generates a spatial structure for the environmental component of quantitative traits. Results are discussed in terms of mechanisms generating spatial structure and are compared with those obtained on a large geographicalscale.

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Documento generato il 01/12/20 alle ore 08:01:55