“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.]

中文翻译：

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使用信息论检测流氓类群并改进共识树

亲和力不确定的“流氓”类群可能会混淆总结系统发育分析结果的尝试。流氓降低了共识树中的分辨率和支持值，可能会掩盖其他类群之间关系的有力证据。信息论提供了一种评估一组树木与其共识之间一致性的原则性方法，与使用临时树木质量测量方法相比，可以更有效地识别流氓分类群。在 R 中这种方法的基本实现恢复了减少的共识树，与现有方法生成的共识树相比，这些共识树得到了更好的解析、更准确和更多信息。[共识树；信息论；系统发育软件；流氓分类群。]