Sicheritz-Pontén T, Andersson S G
Department of Molecular Evolution, Evolutionary Biology Center, Uppsala University, 752 36 Uppsala, Sweden.
Nucleic Acids Res. 2001 Jan 15;29(2):545-52. doi: 10.1093/nar/29.2.545.
To study the origin and evolution of biochemical pathways in microorganisms, we have developed methods and software for automatic, large-scale reconstructions of phylogenetic relationships. We define the complete set of phylogenetic trees derived from the proteome of an organism as the phylome and introduce the term phylogenetic connection as a concept that describes the relative relationships between taxa in a tree. A query system has been incorporated into the system so as to allow searches for defined categories of trees within the phylome. As a complement, we have developed the pyphy system for visualising the results of complex queries on phylogenetic connections, genomic locations and functional assignments in a graphical format. Our phylogenomics approach, which links phylogenetic information to the flow of biochemical pathways within and among microbial species, has been used to examine more than 8000 phylogenetic trees from seven microbial genomes. The results have revealed a rich web of phylogenetic connections. However, the separation of Bacteria and Archaea into two separate domains remains robust.
为了研究微生物生化途径的起源和进化,我们开发了用于自动大规模重建系统发育关系的方法和软件。我们将源自生物体蛋白质组的完整系统发育树集定义为系统发育组,并引入系统发育连接这一术语,作为描述树中分类单元之间相对关系的概念。已将一个查询系统纳入该系统,以便能够在系统发育组内搜索定义的树类别。作为补充,我们开发了pyphy系统,用于以图形格式可视化关于系统发育连接、基因组位置和功能分配的复杂查询结果。我们的系统发育基因组学方法将系统发育信息与微生物物种内部和之间的生化途径流动联系起来,已用于检查来自七个微生物基因组的8000多个系统发育树。结果揭示了一个丰富的系统发育连接网络。然而,将细菌和古菌分为两个独立的域仍然是稳固的。