The Prevalence and Impact of Model Violations in Phylogenetic Analysis

Suha Naser-Khdour*, Bui Quang Minh, Wenqi Zhang, Eric A. Stone, Robert Lanfear, David Bryant

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    85 Citations (Scopus)

    Abstract

    In phylogenetic inference, we commonly use models of substitution which assume that sequence evolution is stationary, reversible, and homogeneous (SRH). Although the use of such models is often criticized, the extent of SRH violations and their effects on phylogenetic inference of tree topologies and edge lengths are not well understood. Here, we introduce and apply the maximal matched-pairs tests of homogeneity to assess the scale and impact of SRH model violations on 3,572 partitions from 35 published phylogenetic data sets. We show that roughly one-quarter of all the partitions we analyzed (23.5%) reject the SRH assumptions, and that for 25% of data sets, tree topologies inferred from all partitions differ significantly from topologies inferred using the subset of partitions that do not reject the SRH assumptions. This proportion increases when comparing trees inferred using the subset of partitions that rejects the SRH assumptions, to those inferred from partitions that do not reject the SRH assumptions. These results suggest that the extent and effects of model violation in phylogenetics may be substantial. They highlight the importance of testing for model violations and possibly excluding partitions that violate models prior to tree reconstruction. Our results also suggest that further effort in developing models that do not require SRH assumptions could lead to large improvements in the accuracy of phylogenomic inference. The scripts necessary to perform the analysis are available in https://github.com/roblanf/SRHtests, and the new tests we describe are available as a new option in IQ-TREE (http://www.iqtree.org).

    Original languageEnglish
    Pages (from-to)3341-3352
    Number of pages12
    JournalGenome Biology and Evolution
    Volume11
    Issue number12
    DOIs
    Publication statusPublished - 19 Nov 2019

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