Suppr超能文献

系统发育基因组学与获得真核生物模式物种准确系统发育所需的特征数量。

Phylogenomics and the number of characters required for obtaining an accurate phylogeny of eukaryote model species.

作者信息

Dopazo Hernán, Santoyo Javier, Dopazo Joaquín

机构信息

Bioinformatics Unit. Biotechnology Programme, Centro Nacional de Investigaciones Oncológicas, Melchor Fernández Almagro, Madrid, Spain.

出版信息

Bioinformatics. 2004 Aug 4;20 Suppl 1:i116-21. doi: 10.1093/bioinformatics/bth902.

Abstract

MOTIVATION

Through the most extensive phylogenomic analysis carried out to date, complete genomes of 11 eukaryotic species have been examined in order to find the homologous of more than 25,000 amino acid sequences. These sequences correspond to the exons of more than 3000 genes and were used as presence/absence characters to test one of the most controversial hypotheses concerning animal evolution, namely the Ecdysozoa hypothesis. Distance, maximum parsimony and Bayesian methods of phylogenetic reconstruction were used to test the hypothesis.

RESULTS

The reliability of the ecdysozoa, grouping arthropods and nematodes in a single clade was unequivocally rejected in all the consensus trees. The Coelomata clade, grouping arthropods and chordates, was supported by the highest statistical confidence in all the reconstructions. The study of the dependence of the genomes' tree accuracy on the number of exons used, demonstrated that an unexpectedly larger number of characters are necessary to obtain robust phylogenies. Previous studies supporting ecdysozoa, could not guarantee an accurate phylogeny because the number of characters used was clearly below the minimum required.

摘要

动机

通过迄今为止进行的最广泛的系统基因组分析,研究了11种真核生物的完整基因组,以寻找超过25000个氨基酸序列的同源物。这些序列对应于3000多个基因的外显子,并被用作存在/缺失特征,以检验关于动物进化最具争议的假说之一,即蜕皮动物假说。使用距离法、最大简约法和贝叶斯系统发育重建方法来检验该假说。

结果

在所有的一致树中,明确拒绝了将节肢动物和线虫归为一个单一进化枝的蜕皮动物分组的可靠性。将节肢动物和脊索动物归为一组的体腔动物进化枝,在所有重建中都得到了最高的统计置信度支持。对基因组树准确性对所用外显子数量的依赖性研究表明,要获得稳健的系统发育,需要出乎意料地更多的特征。先前支持蜕皮动物的研究,无法保证准确的系统发育,因为所用特征的数量明显低于所需的最小值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验