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首页> 外文期刊>International journal of data mining and bioinformatics >A data mining approach to dinoflagellate clustering according to sterol composition: Correlations with evolutionary history
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A data mining approach to dinoflagellate clustering according to sterol composition: Correlations with evolutionary history

机译:一种根据甾醇成分对鞭毛鞭毛进行聚类的数据挖掘方法:与进化史的关系

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摘要

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.
机译:这项研究使用聚类和聚类验证技术检查了102种甲鞭毛藻的甾醇成分,以此作为确定生物体相关性的一种手段。此外,使用Mantel检验,将基于鞭毛藻甾醇的关系与基于18S rDNA的系统发生关系进行了统计学比较。我们的结果表明,所检查的鞭毛鞭毛根据固醇成分组成了六个簇,而几个但不是全部的鞭毛鞭毛属,在基于18S rDNA的系统发育中形成离散的簇,具有相似的甾醇组成。这种和其他对应关系表明,通过该谱系的进化史在一定程度上解释了鞭毛藻的甾醇成分。

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