ArticleGenome biology and evolution2023
Parameter Estimation and Species Tree Rooting Using ALE and GeneRax.
Article in Genome biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Evolution, Mechanisms, and Therapeutic Implications of Mobile Tetracycline Destructases.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Review
- Microbial Diversity and Open Questions about the Deep Tree of Life.Genome biology and evolution · 2024Article
- The origin, evolution, and molecular diversity of the chemokine system.Life science alliance · 2024Article
- Genomics of soil depth niche partitioning in the Thaumarchaeota family Gagatemarchaeaceae.Nature communications · 2023Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ALE and GeneRax are tools for probabilistic gene tree-species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene family origins, and root species trees. Published analyses have used these methods to root species trees of Archaea, Bacteria, and several eukaryotic groups, as well as to infer ancestral gene repertoires. However, it was recently suggested that reconciliation-based estimates of duplication and transfer events using the ALE/GeneRax model were unreliable, with potential implications for species tree rooting. Here, we assess these criticisms and find that the methods are accurate when applied to simulated data and in generally good agreement with alternative methodological approaches on empirical data. In particular, ALE recovers variation in gene duplication and transfer frequencies across lineages that is consistent with the known biology of studied clades. In plants and opisthokonts, ALE recovers the consensus species tree root; in Bacteria-where there is less certainty about the root position-ALE agrees with alternative approaches on the most likely root region. Overall, ALE and related approaches are promising tools for studying genome evolution.
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