Free Access
Genet. Sel. Evol.
Volume 39, Number 5, September-October 2007
Page(s) 545 - 567
Published online 27 September 2007
Genet. Sel. Evol. 39 (2007) 545-567
DOI: 10.1051/gse:2007021

Consensus genetic structuring and typological value of markers using multiple co-inertia analysis

Denis Laloëa, Thibaut Jombartb, Anne-Béatrice Dufourb and Katayoun Moazami-Goudarzic

a  Station de génétique quantitative et appliquée UR337, INRA, 78352 Jouy-en-Josas, France
b  Université de Lyon, Université Lyon 1, CNRS, UMR 5558, Laboratoire de biométrie et biologie évolutive, 69622 Villeurbanne Cedex, France
c  Laboratoire de génétique biochimique et de cytogénétique UR339, INRA, 78352 Jouy-en-Josas, France

(Received 23 October 2006; accepted 20 April 2007; published online 27 September 2007)

Abstract - Working with weakly congruent markers means that consensus genetic structuring of populations requires methods explicitly devoted to this purpose. The method, which is presented here, belongs to the multivariate analyses. This method consists of different steps. First, single-marker analyses were performed using a version of principal component analysis, which is designed for allelic frequencies (%PCA). Drawing confidence ellipses around the population positions enhances %PCA plots. Second, a multiple co-inertia analysis (MCOA) was performed, which reveals the common features of single-marker analyses, builds a reference structure and makes it possible to compare single-marker structures with this reference through graphical tools. Finally, a typological value is provided for each marker. The typological value measures the efficiency of a marker to structure populations in the same way as other markers. In this study, we evaluate the interest and the efficiency of this method applied to a European and African bovine microsatellite data set. The typological value differs among markers, indicating that some markers are more efficient in displaying a consensus typology than others. Moreover, efficient markers in one collection of populations do not remain efficient in others. The number of markers used in a study is not a sufficient criterion to judge its reliability. "Quantity is not quality".

Key words: congruence / multiple co-inertia analysis / biodiversity / microsatellite / allelic frequencies

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© INRA, EDP Sciences 2007