CAT-PMSF改进了最大似然条件下的系统发育模型,并将缓步动物分解为全节肢动物,作为节肢动物和爪足动物的姊妹动物。

IF 3.2 2区 生物学 Q2 EVOLUTIONARY BIOLOGY
Mattia Giacomelli, Matteo Vecchi, Roberto Guidetti, Lorena Rebecchi, Philip C J Donoghue, Jesus Lozano-Fernandez, Davide Pisani
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引用次数: 0

摘要

缓步动物,即水熊,是一种具有行走附属物的微小动物,属于蜕皮动物,蜕皮动物的分支,还包括线虫(圆形蠕虫),线虫(马毛蠕虫),Priapulida(阴茎蠕虫),Kinorhyncha(泥龙),Loricifera(有门动物),节肢动物(昆虫,蜘蛛,蜈蚣,甲壳类动物及其盟友)和Onychophora(天鹅绒蠕虫)。蜕皮动物的系统发育关系尚不清楚,分子和形态数据的分析结果不一致。本文使用cat -后验平均站点频率(CAT-PMSF),这是一种将数据集特定混合模型(CAT-Poisson和CAT-GTR)参数化的新方法,使用贝叶斯方法导出到最大似然软件。我们利用参数引导法开发了新的基于最大似然的模型充分性测试,并表明CAT-PMSF比目前在最大似然软件中实现的其他跨站点组成异构模型更好地描述了跨站点组成异质性。CAT-PMSF表明缓步动物是全节肢动物的成员,这个谱系还包括节肢动物和爪足动物。在全节肢动物中,我们的结果倾向于缓步动物的姊妹类,即爪足动物加节肢动物(足类假说)。我们的研究结果说明了CAT-PMSF在最大似然框架下对跨站点组成异构数据集进行建模的能力,并阐明了缓步动物和Ecdysozoa的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CAT-Posterior Mean Site Frequencies Improves Phylogenetic Modeling Under Maximum Likelihood and Resolves Tardigrada as the Sister of Arthropoda Plus Onychophora.

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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来源期刊
Genome Biology and Evolution
Genome Biology and Evolution EVOLUTIONARY BIOLOGY-GENETICS & HEREDITY
CiteScore
5.80
自引率
6.10%
发文量
169
审稿时长
1 months
期刊介绍: About the journal Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.
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