谷歌浏览器插件
订阅小程序
在清言上使用

Phylogenomic Analyses of Blattodea Combining Traditional Methods, Incremental Tree-Building, and Quality-Aware Support

Dominic A. Evangelista, Dvorah Nelson,Zuzana Kotyková Varadínová,Michael Kotyk, Nicolas Rousseaux, Tristan Shanahan, Phillippe Grandcolas,Frédéric Legendre

Molecular phylogenetics and evolution(2024)

引用 0|浏览7
暂无评分
摘要
Despite the many advances of the genomic era, there is a persistent problem in assessing the uncertainty of phylogenomic hypotheses. We see this in the recent history of phylogenetics for cockroaches and termites (Blattodea), where huge advances have been made, but there are still major inconsistencies between studies. To address this, we present a phylogenetic analysis of Blattodea that emphasizes identification and quantification of uncertainty. We analyze 1183 gene domains using three methods (multi-species coalescent inference, concatenation, and a supermatrix-supertree hybrid approach) and assess support for controversial relationships while considering data quality. The hybrid approach—here dubbed “tiered phylogenetic inference”—incorporates information about data quality into an incremental tree building framework. Leveraging this method, we are able to identify cases of low or misleading support that would not be possible otherwise, and explore them more thoroughly with follow-up tests. In particular, quality annotations pointed towards nodes with high bootstrap support that later turned out to have large ambiguities, sometimes resulting from low-quality data. We also clarify issues related to some recalcitrant nodes: Anaplectidae’s placement lacks unbiased signal, Ectobiidae s.s. and Anaplectoideini need greater taxon sampling, the deepest relationships among most Blaberidae lack signal. As a result, several previous phylogenetic uncertainties are now closer to being resolved (e.g., African and Malagasy “Rhabdoblatta” spp. are the sister to all other Blaberidae, and Oxyhaloinae is sister to the remaining Blaberidae). Overall, we argue for more approaches to quantifying support that take data quality into account to uncover the nature of recalcitrant nodes.
更多
查看译文
关键词
Cockroaches,Incremental tree building,Support,Information content,Missing data,Rogue taxa
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要