Department of Earth Sciences, Durham University, Durham, UK.
Syst Biol. 2022 Aug 10;71(5):1088-1094. doi: 10.1093/sysbio/syab099.
"Rogue" taxa of uncertain affinity can confound attempts to summarize the results of phylogenetic analyses. Rogues reduce resolution and support values in consensus trees, potentially obscuring strong evidence for relationships between other taxa. Information theory provides a principled means of assessing the congruence between a set of trees and their consensus, allowing rogue taxa to be identified more effectively than when using ad hoc measures of tree quality. A basic implementation of this approach in R recovers reduced consensus trees that are better resolved, more accurate, and more informative than those generated by existing methods. [Consensus trees; information theory; phylogenetic software; Rogue taxa.].
不确定亲缘关系的“流氓”分类单元会使对系统发育分析结果进行总结的尝试变得复杂。“流氓”分类单元会降低共识树的分辨率和支持值,可能会使其他分类单元之间关系的有力证据变得模糊。信息论为评估一组树与其共识之间的一致性提供了一种原则性的方法,从而可以比使用树质量的特定措施更有效地识别“流氓”分类单元。在 R 中基本实现这种方法可以恢复分辨率更高、更准确、更具信息量的简化共识树,优于现有方法生成的共识树。[共识树;信息论;系统发育软件;流氓分类单元。]