Literature DB >> 31504977

Quartet-Based Computations of Internode Certainty Provide Robust Measures of Phylogenetic Incongruence.

Xiaofan Zhou1, Sarah Lutteropp2, Lucas Czech2, Alexandros Stamatakis2,3, Moritz Von Looz3, Antonis Rokas4.   

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).
© The Author(s) 2019. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Missing taxa; phylogenetic conflict; phylogenetic discordance; phylogenetic signal; phylogenetics; phylogenomics; robustness

Mesh:

Year:  2020        PMID: 31504977     DOI: 10.1093/sysbio/syz058

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  9 in total

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Authors:  William J Davis; Kevin R Amses; Gerald L Benny; Derreck Carter-House; Ying Chang; Igor Grigoriev; Matthew E Smith; Joseph W Spatafora; Jason E Stajich; Timothy Y James
Journal:  Mol Phylogenet Evol       Date:  2019-01-11       Impact factor: 4.286

2.  Annotation-free delineation of prokaryotic homology groups.

Authors:  Yongze Yin; Huw A Ogilvie; Luay Nakhleh
Journal:  PLoS Comput Biol       Date:  2022-06-08       Impact factor: 4.779

3.  New insights on the evolutionary relationships between the major lineages of Amoebozoa.

Authors:  Yonas I Tekle; Fang Wang; Fiona C Wood; O Roger Anderson; Alexey Smirnov
Journal:  Sci Rep       Date:  2022-07-01       Impact factor: 4.996

4.  Assessing Bayesian Phylogenetic Information Content of Morphological Data Using Knowledge From Anatomy Ontologies.

Authors:  Diego S Porto; Wasila M Dahdul; Hilmar Lapp; James P Balhoff; Todd J Vision; Paula M Mabee; Josef Uyeda
Journal:  Syst Biol       Date:  2022-10-12       Impact factor: 9.160

5.  Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data.

Authors:  Lucas Czech; Pierre Barbera; Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

6.  An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola).

Authors:  Alexandros Vasilikopoulos; Bernhard Misof; Karen Meusemann; Doria Lieberz; Tomáš Flouri; Rolf G Beutel; Oliver Niehuis; Torsten Wappler; Jes Rust; Ralph S Peters; Alexander Donath; Lars Podsiadlowski; Christoph Mayer; Daniela Bartel; Alexander Böhm; Shanlin Liu; Paschalia Kapli; Carola Greve; James E Jepson; Xingyue Liu; Xin Zhou; Horst Aspöck; Ulrike Aspöck
Journal:  BMC Evol Biol       Date:  2020-06-03       Impact factor: 3.260

7.  A Robust Phylogenomic Time Tree for Biotechnologically and Medically Important Fungi in the Genera Aspergillus and Penicillium.

Authors:  Jacob L Steenwyk; Xing-Xing Shen; Abigail L Lind; Gustavo H Goldman; Antonis Rokas
Journal:  mBio       Date:  2019-07-09       Impact factor: 7.867

8.  SpeciesRax: A Tool for Maximum Likelihood Species Tree Inference from Gene Family Trees under Duplication, Transfer, and Loss.

Authors:  Benoit Morel; Paul Schade; Sarah Lutteropp; Tom A Williams; Gergely J Szöllősi; Alexandros Stamatakis
Journal:  Mol Biol Evol       Date:  2022-02-03       Impact factor: 16.240

9.  Diploid-dominant life cycles characterize the early evolution of Fungi.

Authors:  Kevin R Amses; D Rabern Simmons; Joyce E Longcore; Stephen J Mondo; Kensuke Seto; Gustavo H Jerônimo; Anne E Bonds; C Alisha Quandt; William J Davis; Ying Chang; Brian A Federici; Alan Kuo; Kurt LaButti; Jasmyn Pangilinan; William Andreopoulos; Andrew Tritt; Robert Riley; Hope Hundley; Jenifer Johnson; Anna Lipzen; Kerrie Barry; B Franz Lang; Christina A Cuomo; Nicolas E Buchler; Igor V Grigoriev; Joseph W Spatafora; Jason E Stajich; Timothy Y James
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-29       Impact factor: 12.779

  9 in total

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