TAILIEUCHUNG - báo cáo khoa học: "Numerical techniques for the analysis of polygenes sampled from natural populations"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Numerical techniques for the analysis of polygenes sampled from natural populations | Génềt. Sél. Evol. 1986 18 3 279-298 Numerical techniques for the analysis of polygenes sampled from natural populations . THOMPSON jr. Jenna J. HELLACK . SCHNELL Department of Zoology University of Oklahoma Norman Oklahoma 75019 . Department of Biology Central State University Edmond Oklahoma 75054 . Summary While polygenic factors contribute to almost every aspect of development the small quantitative contributions of individual polygenic loci are typically difficult to analyze. A number of studies under controlled laboratory environments have shown that a large proportion of the variation in a quantitative trait can often be traced to a relatively small number of segregating loci. In natural populations the establishment of a series of isofemale strains provides a sample of the segregating genetic variation. Furthermore in each strain the segregating genetic component is dramatically simplified. In this paper we describe numerical techniques than can be used to summarize interstrain differences based upon detected patterns of genetic segregation in isofemale lines These techniques include UPGMA cluster analysis K-group cluster analysis and principal coordinates analysis. Distances between phenotypic distributions of isofemale line progeny are provided by the Kolmogorov-Smirnov K-S two-sample test. Overall the use of K-S distances in conjunction with clustering and ordination techniques shows great promise in assisting population geneticists in the identification of strains with similar genetic characteristics. Key words Quantitative variation simulation cluster analysis Drosophila melanogaster. Résumé Méthodes numériques pour I analyse de polygenes échantillonnés dans des populations naturelles Alors que les facteurs polygéniques contribuent à presque tous les aspects du déve-loppement les faibles contributions individuelles des locus polygéniques sont difficiles à analyser. Plusieurs etudes conduites dans des environnements contrôlés en .

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