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Quartet-Based Computations of Internode Certainty Provide Robust Measures of Phylogenetic Incongruence.
Zhou, Xiaofan; Lutteropp, Sarah; Czech, Lucas; Stamatakis, Alexandros; Looz, Moritz Von; Rokas, Antonis.
Afiliação
  • Zhou X; Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, 483 Wushan Road, Guangzhou 510642, P.R. China.
  • Lutteropp S; Exelixis Lab, Scientific Computing Group, Heidelberg Institute for Theoretical Studies, Schloss-Wolfsbrunnenweg 35, Heidelberg D-68159, Germany.
  • Czech L; Exelixis Lab, Scientific Computing Group, Heidelberg Institute for Theoretical Studies, Schloss-Wolfsbrunnenweg 35, Heidelberg D-68159, Germany.
  • Stamatakis A; Exelixis Lab, Scientific Computing Group, Heidelberg Institute for Theoretical Studies, Schloss-Wolfsbrunnenweg 35, Heidelberg D-68159, Germany.
  • Looz MV; Department of Informatics, Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Postfach 6980, 76128 Karlsruhe, Germany.
  • Rokas A; Department of Informatics, Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Postfach 6980, 76128 Karlsruhe, Germany.
Syst Biol ; 69(2): 308-324, 2020 03 01.
Article em En | MEDLINE | ID: mdl-31504977
ABSTRACT
Incongruence, or topological conflict, is prevalent in genome-scale data sets. Internode certainty (IC) and related measures were recently introduced to explicitly quantify the level of incongruence of a given internal branch among a set of phylogenetic trees and complement regular branch support measures (e.g., bootstrap, posterior probability) that instead assess the statistical confidence of inference. Since most phylogenomic studies contain data partitions (e.g., genes) with missing taxa and IC scores stem from the frequencies of bipartitions (or splits) on a set of trees, IC score calculation typically requires adjusting the frequencies of bipartitions from these partial gene trees. However, when the proportion of missing taxa is high, the scores yielded by current approaches that adjust bipartition frequencies in partial gene trees differ substantially from each other and tend to be overestimates. To overcome these issues, we developed three new IC measures based on the frequencies of quartets, which naturally apply to both complete and partial trees. Comparison of our new quartet-based measures to previous bipartition-based measures on simulated data shows that (1) on complete data sets, both quartet-based and bipartition-based measures yield very similar IC scores; (2) IC scores of quartet-based measures on a given data set with and without missing taxa are more similar than the scores of bipartition-based measures; and (3) quartet-based measures are more robust to the absence of phylogenetic signal and errors in phylogenetic inference than bipartition-based measures. Additionally, the analysis of an empirical mammalian phylogenomic data set using our quartet-based measures reveals the presence of substantial levels of incongruence for numerous internal branches. An efficient open-source implementation of these quartet-based measures is freely available in the program QuartetScores (https//github.com/lutteropp/QuartetScores).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Classificação Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Syst Biol Assunto da revista: BIOLOGIA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Classificação Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Syst Biol Assunto da revista: BIOLOGIA Ano de publicação: 2020 Tipo de documento: Article