ArticleGenome biology and evolution2025
CAT-Posterior Mean Site Frequencies Improves Phylogenetic Modeling Under Maximum Likelihood and Resolves Tardigrada as the Sister of Arthropoda Plus Onychophora.
Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Dayhoff Exchange Score: A New Metric to Quantify Entropic Site Saturation in Amino Acid Data Sets Prior to Phylogenetic Analysis.Systematic biology · 2026Article
- The timescale of nematode evolution reveals late and convergent radiations of parasitism.Nature ecology & evolution · 2026Article
- Article
- Phylogenomic mixture models outperform homogeneous and partitioned models.Molecular biology and evolution · 2026Article
- IQ-TREE 3: phylogenomic inference software using complex evolutionary models.Molecular biology and evolution · 2026Article
- Conflict in ant phylogeny results from complex interaction between multiple evolutionary signals and tree reconstruction artifacts.Molecular biology and evolution · 2026Article
- Toward a genomic understanding of the tree of life.Molecular biology and evolution · 2026Article
- A timetree of Fungi dated with fossils and horizontal gene transfers.Nature ecology & evolution · 2025Article
- Lineage-specific expansions of the Dicer gene family in tardigrades.BMC genomics · 2025Article
- Phylogenomic Analyses Reveal that Panguiarchaeum Is a Clade of Genome-Reduced Asgard Archaea Within the Njordarchaeia.Molecular biology and evolution · 2025Article
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7 authors.
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Abstract
Tardigrada, the water bears, are microscopic animals with walking appendages that are members of Ecdysozoa, the clade of molting animals that also includes Nematoda (round worms), Nematomorpha (horsehair worms), Priapulida (penis worms), Kinorhyncha (mud dragons), Loricifera (loricated animals), Arthropoda (insects, spiders, centipedes, crustaceans, and their allies), and Onychophora (velvet worms). The phylogenetic relationships within Ecdysozoa are still unclear, with analyses of molecular and morphological data yielding incongruent results. Accounting for across-site compositional heterogeneity using mixture models that partition sites in frequency categories, CATegories (CAT)-based models, has been shown to improve fit in Bayesian analyses. However, CAT-based models such as CAT-Poisson or CAT-GTR (where CAT is combined with a General Time Reversible matrix to account for replacement rate heterogeneity) have proven difficult to implement in maximum likelihood. Here, we use CAT-posterior mean site frequencies (CAT-PMSF), a new method to export dataset-specific mixture models (CAT-Poisson and CAT-GTR) parameterized using Bayesian methods to maximum likelihood software. We developed new maximum likelihood-based model adequacy tests using parametric bootstrap and show that CAT-PMSF describes across-site compositional heterogeneity better than other across-site compositionally heterogeneous models currently implemented in maximum likelihood software. CAT-PMSF suggests that tardigrades are members of Panarthropoda, a lineage also including Arthropoda and Onychophora. Within Panarthropoda, our results favor Tardigrada as sister to Onychophora plus Arthropoda (the Lobopodia hypothesis). Our results illustrate the power of CAT-PMSF to model across-site compositionally heterogeneous datasets in the maximum likelihood framework and clarify the relationships between the Tardigrada and the Ecdysozoa.
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