CAT-Posterior Mean Site Frequencies Improves Phylogenetic Modeling Under Maximum Likelihood and Resolves Tardigrada as the Sister of Arthropoda Plus Onychophora

dc.contributor.author
Giacomelli, Mattia
dc.contributor.author
Vecchi, Matteo
dc.contributor.author
Guidetti, Roberto
dc.contributor.author
Rebecchi, Lorena
dc.contributor.author
Donoghue, Philip D. J.
dc.contributor.author
Lozano-Fernandez, Jesus
dc.contributor.author
Pisani, Davide
dc.date.issued
2025-02-07T17:13:47Z
dc.date.issued
2025-02-07T17:13:47Z
dc.date.issued
2025-01-23
dc.date.issued
2025-02-07T17:13:47Z
dc.identifier
1759-6653
dc.identifier
https://hdl.handle.net/2445/218617
dc.identifier
754082
dc.description.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 im- prove 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-spe- cific 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 cur- rently 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.
dc.format
14 p.
dc.format
application/pdf
dc.language
eng
dc.publisher
Oxford University Press
dc.relation
Reproducció del document publicat a: https://doi.org/10.1093/gbe/evae273
dc.relation
Genome Biology and Evolution, 2025, vol. 17, num.1, p. 1-14
dc.relation
https://doi.org/10.1093/gbe/evae273
dc.rights
cc-by-nc (c) Mattia Giacomelli et al., 2025
dc.rights
http://creativecommons.org/licenses/by-nc/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Genètica, Microbiologia i Estadística)
dc.subject
Tardígrads
dc.subject
Bootstrap (Estadística)
dc.subject
Tardigrada
dc.subject
Bootstrap (Statistics)
dc.title
CAT-Posterior Mean Site Frequencies Improves Phylogenetic Modeling Under Maximum Likelihood and Resolves Tardigrada as the Sister of Arthropoda Plus Onychophora
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)