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Can I read The Relationship between the Number of Loci and the Statistical Support for the Topology of UPGMA Trees Obtained from Genetic Distance Data on EtoBox?
The Relationship between the Number of Loci and the Statistical Support for the Topology of UPGMA Trees Obtained from Genetic Distance Data by Richard Highton is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is The Relationship between the Number of Loci and the Statistical Support for the Topology of UPGMA Trees Obtained from Genetic Distance Data about?
An analysis of the relationship between the number of loci utilized in an electrophoretic study of genetic relationships and the statistical support for the topology of UPGMA trees is reported for two published data sets. These are Highton and Larson (Syst. Zool.28:579-599, 1979), an analysis of the relationships of 28 species of plethodonine salamanders, and Hedges (Syst. Zool., 35:1-21, 1986), a similar study of 30 taxa of Holarctic hylid frogs. As the number of loci increases, the statistical support for the topology at each node in UPGMA trees was determined by both the bootstrap and jackknife methods. The results show that the bootstrap and jackknife probabilities supporting the topology at some nodes of UPGMA trees increase as the number of loci utilized in a study is increased, as expected for nodes that have groupings that reflect phylogenetic relationships. The pattern of increase varies and is especially rapid in the case of groups with no close relatives. At nodes that likely do not represent correct phylogenetic relationships, the bootstrap probabilities do not increase and often decline with the addition of more loci.
Who reads The Relationship between the Number of Loci and the Statistical Support for the Topology of UPGMA Trees Obtained from Genetic Distance Data?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Richard Highton
- Publisher
- Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 1055-7903)
- Published
- 1993
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)