Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08542, USA.
Nucleic Acids Res. 2013 Jan;41(Database issue):D1079-82. doi: 10.1093/nar/gks1217. Epub 2012 Nov 27.
Organisms represented by the root of the universal evolutionary tree were most likely complex cells with a sophisticated protein translation system and a DNA genome encoding hundreds of genes. The growth of bioinformatics data from taxonomically diverse organisms has made it possible to infer the likely properties of early life in greater detail. Here we present LUCApedia, (http://eeb.princeton.edu/lucapedia), a unified framework for simultaneously evaluating multiple data sets related to the Last Universal Common Ancestor (LUCA) and its predecessors. This unification is achieved by mapping eleven such data sets onto UniProt, KEGG and BioCyc IDs. LUCApedia may be used to rapidly acquire evidence that a certain gene or set of genes is ancient, to examine the early evolution of metabolic pathways, or to test specific hypotheses related to ancient life by corroborating them against the rest of the database.
通用进化树根部所代表的生物很可能是具有复杂蛋白质翻译系统和编码数百个基因的 DNA 基因组的复杂细胞。来自分类多样的生物体的生物信息学数据的增长使得更详细地推断早期生命的可能特性成为可能。在这里,我们展示了 LUCApedia(http://eeb.princeton.edu/lucapedia),这是一个同时评估与最后普遍共同祖先(LUCA)及其前身相关的多个数据集的统一框架。通过将十一个这样的数据集映射到 UniProt、KEGG 和 BioCyc ID 来实现这种统一。LUCApedia 可用于快速获取某个基因或一组基因是古老的证据,检查代谢途径的早期进化,或通过与数据库的其余部分相印证来验证特定与古代生命相关的假设。