Sign in
BioinformaticsBioinformatics
Peer-reviewed journal article

Updated site concordance factors minimize effects of homoplasy and taxon sampling

Mo YuiD, Robert LanfeariD, Matthew W. HahniD, Bùi Quang MinhiD

Abstract

MotivationSite concordance factors (sCFs) have become a widely used way to summarize discordance in phylogenomic datasets. However, the original version of sCFs were calculated by sampling a quartet of tip taxa and then applying parsimony-based criteria for discordance. This approach has the potential to be strongly affected by multiple hits at a site (homoplasy), especially when substitution rates are high or taxa are not closely related. ResultsHere, we introduce a new method for calculating site concordance factors. The updated version uses likelihood to generate probability distributions of ancestral states at internal nodes of the phylogeny. By sampling from the states at internal nodes adjacent to a given branch, this approach substantially reduces--but does not completely abolish--the effects of homoplasy and taxon sampling. Availability and implementationUpdated sCFs are implemented in IQ-TREE 2.2.2. The software is freely available at https://github.com/iqtree/iqtree2/releases. Contactmoyu@iu.edu

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers
Citations
113
FWCI
5.71
Field percentile
top 2%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMinh '20Guerrero '18Boeckmann '17Allman '20Jong '25Wascher '20
79% semantic matchEvolutionary Biology
Bùi Quang Minh, Matthew W. Hahn, Robert Lanfear·Molecular Biology and Evolution·Apr 27, 2020· 721 citations