Suppr超能文献

基于分子功能基因组普查推断的细胞生命树。

A tree of cellular life inferred from a genomic census of molecular functions.

作者信息

Kim Kyung Mo, Nasir Arshan, Hwang Kyuin, Caetano-Anollés Gustavo

机构信息

Microbial Resource Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 305-806, Korea.

出版信息

J Mol Evol. 2014 Dec;79(5-6):240-62. doi: 10.1007/s00239-014-9637-9. Epub 2014 Aug 17.

Abstract

Phylogenomics aims to describe evolutionary relatedness between organisms by analyzing genomic data. The common practice is to produce phylogenomic trees from molecular information in the sequence, order, and content of genes in genomes. These phylogenies describe the evolution of life and become valuable tools for taxonomy. The recent availability of structural and functional data for hundreds of genomes now offers the opportunity to study evolution using more deep, conserved, and reliable sets of molecular features. Here, we reconstruct trees of life from the functions of proteins. We start by inferring rooted phylogenomic trees and networks of organisms directly from Gene Ontology annotations. Phylogenies and networks yield novel insights into the emergence and evolution of cellular life. The ancestor of Archaea originated earlier than the ancestors of Bacteria and Eukarya and was thermophilic. In contrast, basal bacterial lineages were non-thermophilic. A close relationship between Plants and Metazoa was also identified that disagrees with the traditional Fungi-Metazoa grouping. While measures of evolutionary reticulation were minimum in Eukarya and maximum in Bacteria, the massive role of horizontal gene transfer in microbes did not materialize in phylogenomic networks. Phylogenies and networks also showed that the best reconstructions were recovered when problematic taxa (i.e., parasitic/symbiotic organisms) and horizontally transferred characters were excluded from analysis. Our results indicate that functionomic data represent a useful addition to the set of molecular characters used for tree reconstruction and that trees of cellular life carry in deep branches considerable predictive power to explain the evolution of living organisms.

摘要

系统发育基因组学旨在通过分析基因组数据来描述生物体之间的进化关系。常见的做法是根据基因组中基因的序列、顺序和内容中的分子信息构建系统发育树。这些系统发育树描述了生命的进化过程,并成为分类学的重要工具。最近,数百个基因组的结构和功能数据的可用性,为使用更深入、保守和可靠的分子特征集来研究进化提供了机会。在这里,我们从蛋白质的功能重建生命树。我们首先直接从基因本体注释推断出有根的系统发育树和生物体网络。系统发育树和网络为细胞生命的出现和进化提供了新的见解。古菌的祖先比细菌和真核生物的祖先起源更早,并且是嗜热的。相比之下,基础细菌谱系是非嗜热的。还发现植物和后生动物之间存在密切关系,这与传统的真菌 - 后生动物分组不同。虽然进化网状化的度量在真核生物中最小,在细菌中最大,但水平基因转移在微生物中的巨大作用在系统发育基因组网络中并未体现出来。系统发育树和网络还表明,当从分析中排除有问题的分类群(即寄生/共生生物)和水平转移的特征时,能够得到最佳的重建结果。我们的结果表明,功能组学数据是用于树重建的分子特征集的有益补充,并且细胞生命树在深层分支中具有相当大的预测能力来解释生物体的进化。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验