Literature DB >> 9093871

Multilocus and multitrait measures of differentiation for gene markers and phenotypic traits.

A Kremer1, A Zanetto, A Ducousso.   

Abstract

Multilocus measures of differentiation taking into account gametic disequilibrium are developed. Even if coupling and repulsion heterozygotes cannot be separated at the multilocus level, a method is given to calculate a composite measure of differentiation (CFst) at the zygotic level, which accounts for allelic associations combining both gametic and nongametic effects. Mean and maximum differentiations may be relevant when multilocus measures are computed. Maximum differentiation is the highest eigenvalue of the Fst matrix, whereas mean differentiation corresponds to the mean value of all eigenvalues of the Fst matrix. Gametic disequilibrium has a stronger effect on maximum differentiation than on mean differentiation and takes into account the anisotropy that may exist between within- and between-population components of disequilibria. Multilocus mean and maximum differentiation are calculated for a set of 81 Quercus petraea (sessile oak) populations assessed with eight allozyme loci and two phenotypic traits (bud burst and height growth). The results indicate that maximum differentiation increases as more loci (traits) are considered whereas mean differentiation remains constant or decreases. Phenotypic traits exhibit higher population differentiation than allozymes. The applications and uses of mean and maximum differentiations are further discussed.

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Year:  1997        PMID: 9093871      PMCID: PMC1207889     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  12 in total

1.  Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data.

Authors:  L Excoffier; P E Smouse; J M Quattro
Journal:  Genetics       Date:  1992-06       Impact factor: 4.562

2.  Population structure and quantitative characters.

Authors:  A R Rogers; H C Harpending
Journal:  Genetics       Date:  1983-12       Impact factor: 4.562

3.  Linkage disequilibrium with the island model.

Authors:  T Ohta
Journal:  Genetics       Date:  1982-05       Impact factor: 4.562

4.  Multilocus genetic structure of ancestral Spanish and colonial Californian populations of Avena barbata.

Authors:  M Pérez de la Vega; P García; R W Allard
Journal:  Proc Natl Acad Sci U S A       Date:  1991-02-15       Impact factor: 11.205

5.  The allelic correlation structure of Gainj- and Kalam-speaking people. II. The genetic distance between population subdivisions.

Authors:  J C Long; P E Smouse; J W Wood
Journal:  Genetics       Date:  1987-10       Impact factor: 4.562

6.  Allozymic Variation and Linkage Disequilibrium in Some Laboratory Populations of DROSOPHILA MELANOGASTER.

Authors:  C C Laurie-Ahlberg; B S Weir
Journal:  Genetics       Date:  1979-08       Impact factor: 4.562

7.  Population structure of morphological traits in Clarkia dudleyana. I. Comparison of FST between allozymes and morphological traits.

Authors:  R H Podolsky; T P Holtsford
Journal:  Genetics       Date:  1995-06       Impact factor: 4.562

8.  Multivariate classification of human populations. I. Allocation of Yanomama indians to villages.

Authors:  R S Spielman; P E Smouse
Journal:  Am J Hum Genet       Date:  1976-07       Impact factor: 11.025

9.  Inferences about linkage disequilibrium.

Authors:  B S Weir
Journal:  Biometrics       Date:  1979-03       Impact factor: 2.571

10.  F-statistics and analysis of gene diversity in subdivided populations.

Authors:  M Nei
Journal:  Ann Hum Genet       Date:  1977-10       Impact factor: 1.670

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  12 in total

1.  Genetic variability at neutral markers, quantitative trait land trait in a subdivided population under selection.

Authors:  Valérie Le Corre; Antoine Kremer
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

2.  Multivariate QST-FST comparisons: a neutrality test for the evolution of the g matrix in structured populations.

Authors:  Guillaume Martin; Elodie Chapuis; Jérôme Goudet
Journal:  Genetics       Date:  2008-02-03       Impact factor: 4.562

3.  Characterizing the evolution of genetic variance using genetic covariance tensors.

Authors:  Emma Hine; Stephen F Chenoweth; Howard D Rundle; Mark W Blows
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-12       Impact factor: 6.237

4.  Morphological and microsatellite diversity associated with ecological factors in natural populations of Medicago laciniata Mill. (Fabaceae).

Authors:  Mounawer Badri; Adel Zitoun; Houcine Ilahi; Thierry Huguet; Mohamed Elarbi Aouani
Journal:  J Genet       Date:  2008-12       Impact factor: 1.166

5.  Decoupling of differentiation between traits and their underlying genes in response to divergent selection.

Authors:  A Kremer; V Le Corre
Journal:  Heredity (Edinb)       Date:  2011-09-14       Impact factor: 3.821

6.  Complex trait divergence contributes to environmental niche differentiation in ecological speciation of Boechera stricta.

Authors:  Cheng-Ruei Lee; Thomas Mitchell-Olds
Journal:  Mol Ecol       Date:  2013-02-22       Impact factor: 6.185

Review 7.  Q(ST)-F(ST) comparisons: evolutionary and ecological insights from genomic heterogeneity.

Authors:  Tuomas Leinonen; R J Scott McCairns; Robert B O'Hara; Juha Merilä
Journal:  Nat Rev Genet       Date:  2013-02-05       Impact factor: 53.242

8.  Close correspondence between quantitative- and molecular-genetic divergence times for Neandertals and modern humans.

Authors:  Timothy D Weaver; Charles C Roseman; Chris B Stringer
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-17       Impact factor: 11.205

9.  A population genetic signal of polygenic adaptation.

Authors:  Jeremy J Berg; Graham Coop
Journal:  PLoS Genet       Date:  2014-08-07       Impact factor: 5.917

10.  Single-Locus versus Multilocus Patterns of Local Adaptation to Climate in Eastern White Pine (Pinus strobus, Pinaceae).

Authors:  Om P Rajora; Andrew J Eckert; John W R Zinck
Journal:  PLoS One       Date:  2016-07-07       Impact factor: 3.240

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