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首页> 外文期刊>BMC Evolutionary Biology >Inferring phylogenies with incomplete data sets: a 5-gene, 567-taxon analysis of angiosperms
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Inferring phylogenies with incomplete data sets: a 5-gene, 567-taxon analysis of angiosperms

机译：用不完整的数据集推断系统发育：被子植物的5基因567分类群分析

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Background Phylogenetic analyses of angiosperm relationships have used only a small percentage of available sequence data, but phylogenetic data matrices often can be augmented with existing data, especially if one allows missing characters. We explore the effects on phylogenetic analyses of adding 378 matK sequences and 240 26S rDNA sequences to the complete 3-gene, 567-taxon angiosperm phylogenetic matrix of Soltis et al. Results We performed maximum likelihood bootstrap analyses of the complete, 3-gene 567-taxon data matrix and the incomplete, 5-gene 567-taxon data matrix. Although the 5-gene matrix has more missing data (27.5%) than the 3-gene data matrix (2.9%), the 5-gene analysis resulted in higher levels of bootstrap support. Within the 567-taxon tree, the increase in support is most evident for relationships among the 170 taxa for which both matK and 26S rDNA sequences were added, and there is little gain in support for relationships among the 119 taxa having neither matK nor 26S rDNA sequences. The 5-gene analysis also places the enigmatic Hydrostachys in Lamiales (BS = 97%) rather than in Cornales (BS = 100% in 3-gene analysis). The placement of Hydrostachys in Lamiales is unprecedented in molecular analyses, but it is consistent with embryological and morphological data. Conclusion Adding available, and often incomplete, sets of sequences to existing data sets can be a fast and inexpensive way to increase support for phylogenetic relationships and produce novel and credible new phylogenetic hypotheses.
机译：背景技术对被子植物关系的系统发育分析仅使用了一小部分可用序列数据，但系统发育数据矩阵通常可以使用现有数据进行扩充，特别是如果允许缺少字符的话。我们探讨了将378个matK序列和240个26S rDNA序列添加到Soltis等人完整的3基因，567个紫杉类被子植物系统发育矩阵中对系统发育分析的影响。结果我们对完整的3基因567分类单元数据矩阵和不完整的5基因567分类单元数据矩阵进行了最大似然引导分析。尽管5基因矩阵具有比3基因数据矩阵（2.9％）更多的缺失数据（27.5％），但5基因分析导致更高水平的自举支持。在567个分类单元树中，对于同时添加了matK和26S rDNA序列的170个分类单元之间的关系，支持的增加最为明显，而对没有matK和26S rDNA的119个分类单元之间的关系的支持几乎没有增加。序列。 5基因分析还把神秘的水力法放在拉米亚莱斯（BS = 97％）而不是科纳雷斯（3基因分析中BS = 100％）。在分子分析中，水合植物在拉马莱斯的位置是空前的，但与胚胎学和形态学数据一致。结论在现有数据集中添加可用的序列集（通常是不完整的序列集）可以是一种快速而廉价的方法，可以增加对系统发育关系的支持并产生新颖且可信的新系统发育假设。

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