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CAT-后验均值位点频率在最大似然法下改进了系统发育建模,并将缓步动物门解析为节肢动物门和有爪动物门的姊妹类群。

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

作者信息

Giacomelli Mattia, Vecchi Matteo, Guidetti Roberto, Rebecchi Lorena, Donoghue Philip C J, Lozano-Fernandez Jesus, Pisani Davide

机构信息

Bristol Palaeobiology Group, School of Biological Sciences, Life Sciences Building, University of Bristol, Bristol, UK.

Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.

出版信息

Genome Biol Evol. 2025 Jan 6;17(1). doi: 10.1093/gbe/evae273.

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.

摘要

缓步动物门,即水熊虫,是一种微小的动物,长有用于行走的附肢,属于蜕皮动物总门。蜕皮动物总门还包括线虫动物门(蛔虫)、线形动物门(铁线虫)、鳃曳动物门(阴茎蠕虫)、动吻动物门(泥龙)、铠甲动物门(有壳动物)、节肢动物门(昆虫、蜘蛛、蜈蚣、甲壳类动物及其同类)和有爪动物门(天鹅绒虫)。蜕皮动物总门内部的系统发育关系仍不明确,对分子和形态数据的分析得出了不一致的结果。使用混合模型(将位点按频率类别进行划分)来考虑位点间的组成异质性,基于CATegories(CAT)的模型已被证明能提高贝叶斯分析中的拟合度。然而,基于CAT的模型,如CAT-泊松模型或CAT-通用时间可逆模型(其中CAT与通用时间可逆矩阵相结合以考虑替换率异质性),已被证明在最大似然法中难以实现。在这里,我们使用CAT-后验均值位点频率(CAT-PMSF),这是一种新方法,可将使用贝叶斯方法参数化的特定数据集混合模型(CAT-泊松模型和CAT-通用时间可逆模型)导出到最大似然软件中。我们使用参数自展法开发了基于最大似然的新模型充分性检验,并表明CAT-PMSF比目前在最大似然软件中实现的其他位点间组成异质模型能更好地描述位点间的组成异质性。CAT-PMSF表明缓步动物门是泛节肢动物的成员,泛节肢动物谱系还包括节肢动物门和有爪动物门。在泛节肢动物门内,我们的结果支持缓步动物门是有爪动物门和节肢动物门(叶足动物假说)的姐妹群。我们的结果说明了CAT-PMSF在最大似然框架中对位点间组成异质数据集进行建模的能力,并阐明了缓步动物门与蜕皮动物总门之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310f/11756273/00a1bf0196dd/evae273f1.jpg

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