Sampling strategies for improving tree accuracy and phylogenetic analyses: A case study in ciliate protists, with notes on the genus Paramecium

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• 作者：Zhenzhen Yi ; Michaela Str眉der-Kypke ; Xiaozhong Hu ; Xiaofeng Lin ; Weibo Song
• 关键词：Missing data ; Phylogeny ; Multi-gene ; Ciliophora ; Paramecium
• 刊名：Molecular Phylogenetics and Evolution
• 出版年：February, 2014
• 年：2014
• 卷：71
• 期：Complete
• 页码：142-148
• 全文大小：2309 K

文摘

In order to assess how dataset-selection for multi-gene analyses affects the accuracy of inferred phylogenetic trees in ciliates, we chose five genes and the genus Paramecium, one of the most widely used model protist genera, and compared tree topologies of the single- and multi-gene analyses. Our empirical study shows that: (1) Using multiple genes improves phylogenetic accuracy, even when their one-gene topologies are in conflict with each other. (2) The impact of missing data on phylogenetic accuracy is ambiguous: resolution power and topological similarity, but not number of represented taxa, are the most important criteria of a dataset for inclusion in concatenated analyses. (3) As an example, we tested the three classification models of the genus Paramecium with a multi-gene based approach, and only the monophyly of the subgenus Paramecium is supported.