tailieunhanh - Báo cáo lâm nghiệp: "Population genetics of Norway spruce (Picea abies Karst.) at regional scale: sensitivity of different microsatellite motif classes in detecting differentiation"

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: Population genetics of Norway spruce (Picea abies Karst.) at regional scale: sensitivity of different microsatellite motif classes in detecting differentiation. | Ann. For. Sci. 63 2006 485-491 INRA EDP Sciences 2006 DOI forest 2006029 485 Original article Population genetics of Norway spruce Picea abies Karst. at regional scale sensitivity of different microsatellite motif classes in detecting differentiation Ivan SC0TTla b Gianpaolo PAGLlAa Federica MAGNla Michele MORGANTEa a Dipartimento di Scienze Agrarie ed Ambientali Università di Udine Via delle Scienze 208 33100 Udine Italy b Current address INRA UMR ECOFOG Campus agronomique BP 709 97387 Kourou Cedex French Guiana Received 28 February 2005 accepted 27 March 2006 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 FST 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. conifers SSR divergence statistical testing genetic distance Résumé - Génétique des populations d épicéa Picea abies Karst. à l echelle régionale sensibilité de different motifs microsatellites dans la detection de la differenciation. Quatre .

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