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Author (up) Scotti, I.; Paglia, G.; Magni, F.; Morgante, M.
Title Population genetics of Norway spruce (Picea abies Karst.) at regional scale: sensitivity of different microsatellite motif classes in detecting differentiation Type Journal Article
Year 2006 Publication Annals of Forest Science Abbreviated Journal Ann. For. Sci.
Volume 63 Issue 5 Pages 485-491
Keywords conifers; SSR; divergence; statistical testing; genetic distance
Abstract Four populations of Norway spruce (Picea abies Karst.) were screened using nine nuclear microsatellite markers (three trinucleotides and six dinucleotides) and four chloroplast markers (all mononucleotides). Marker classes were compared for their variability, mutation rate and ability to detect differentiation between stands. Dinucleotide markers proved to be the most variable group and chloroplast stretches the least variable, with differences in mutation rate between the former and the latter spanning over two orders of magnitude. Variability correlated to the number of repeats but not to the absolute length of the microsatellite region. The different marker classes were combined with two different measures of genetic distance in order to investigate the performance of markers and evolutionary models for the study of genetic variation in natural populations of Norway spruce. Weir and Cockeram's F-ST generally performed better in this clear-cut, four-population model study. Chloroplast haplotypes turned out to be the most sensitive marker system, being able to differentiate populations and to detect differences in genetic variability between sub-regions.
Address INRA, UMR ECOFOG, Kourou 97387, French Guiana, Email: ivan.scotti@kourou.cirad.fr
Corporate Author Thesis
Publisher EDP SCIENCES S A Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1286-4560 ISBN Medium
Area Expedition Conference
Notes ISI:000240514800005 Approved no
Call Number EcoFoG @ eric.marcon @ Serial 177
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