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

被引:15
作者
Yi, Zhenzhen [1 ,3 ]
Strueder-Kypke, Michaela [2 ]
Hu, Xiaozhong [3 ]
Lin, Xiaofeng [1 ]
Song, Weibo [3 ]
机构
[1] S China Normal Univ, Sch Life Sci, Key Lab Ecol & Environm Sci Guangdong Higher Educ, Guangzhou 510631, Guangdong, Peoples R China
[2] Univ Guelph, Dept Mol & Cellular Biol, Guelph, ON N1G 2W1, Canada
[3] Ocean Univ China, Inst Evolut & Marine Biodivers, Lab Protozool, Qingdao 266003, Peoples R China
基金
中国博士后科学基金;
关键词
Missing data; Phylogeny; Multi-gene; Ciliophora; Paramecium; MISSING DATA; CILIOPHORA; MITOCHONDRIAL; TAXA; OLIGOHYMENOPHOREA; SPECIATION; JENNINGSI; NUCLEAR; IMPACT; GENES;
D O I
10.1016/j.ympev.2013.11.013
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:142 / 148
页数:7
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