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A data mining approach to dinoflagellate clustering according to sterol composition: correlations with evolutionary history.
Leblond, Jeffrey D; Lasiter, Andrew D; Li, Cen; Logares, Ramiro; Rengefors, Karin; Evens, Terence J.
Afiliação
  • Leblond JD; Department of Biology, Middle Tennessee State University, P.O. Box 60, Murfreesboro, TN 37132, USA. jleblond@mtsu.edu
Int J Data Min Bioinform ; 4(4): 431-51, 2010.
Article em En | MEDLINE | ID: mdl-20815141
ABSTRACT
This study examined the sterol compositions of 102 dinoflagellates using clustering and cluster validation techniques, as a means of determining the relatedness of the organisms. In addition, dinoflagellate sterol-based relationships were compared statistically to 18S rDNA-based phylogenetic relationships using the Mantel test. Our results indicated that the examined dinoflagellates formed six clusters based on sterol composition and that several, but not all, dinoflagellate genera, which formed discrete clusters in the 18S rDNA-based phylogeny, shared similar sterol compositions. This and other correspondences suggest that the sterol compositions of dinoflagellates are explained, to a certain extent, by the evolutionary history of this lineage.
Assuntos
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Base de dados: MEDLINE Assunto principal: Esteróis / Dinoflagellida / Evolução Biológica / Mineração de Dados Idioma: En Ano de publicação: 2010 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Esteróis / Dinoflagellida / Evolução Biológica / Mineração de Dados Idioma: En Ano de publicação: 2010 Tipo de documento: Article