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Molecular Biology and Evolution· 2026Q1

IQ-TREE 3: phylogenomic inference software using complex evolutionary models

Thomas K. F. Wong, Nhan Ly-Trong, Huaiyan Ren, Piyumal Demotte et al.

Short summary

IQ-TREE 3, a major update to the popular phylogenetics software, now infers evolutionary trees using mixture models and quantifies discordance between genomic regions with gene and site concordance factors.

AI-generated from the title and abstract; the full text is not read.

Key points

  • IQ-TREE 3 offers mixture models as an alternative to partitioned models for phylogenetic inference.
  • New gene and site concordance factors quantify discordance between genomic regions.
  • The software now integrates with phylogenomic divergence time estimation.
  • A fully featured sequence simulator is included in IQ-TREE 3.

AI-generated from the title and abstract; the full text is not read.

Abstract

IQ-TREE (https://iqtree.github.io/) is a widely used open-source software tool for efficiently inferring phylogenetic trees under maximum likelihood. Here, we present IQ-TREE version 3, the third major release of the software. IQ-TREE 3 significantly extends version 2 with new features, including mixture models as an alternative to partitioned models, gene and site concordance factors to quantify discordance between genomic regions, integration with phylogenomic divergence time estimation, and a fully featured sequence simulator. The IQ-TREE 3 source code is available at https://github.com/iqtree/iqtree3.

The authors' abstract, as published at the source. Molecular Biology and Evolution, 2026 · DOI ↗

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Field: Genetics (Biochemistry, Genetics and Molecular Biology) Molecular Biology

Molecular BiologyBiochemistry, Genetics and Molecular BiologyGenetics