Qi Ji, Wang Bin, Hao Bai-Iin
The Institute of Theoretical Physics, Academia Sinica, Beijing 100080, China,
J Mol Evol. 2004 Jan;58(1):1-11. doi: 10.1007/s00239-003-2493-7.
A systematic way of inferring evolutionary relatedness of microbial organisms from the oligopeptide content, i.e., frequency of amino acid K-strings in their complete proteomes, is proposed. The new method circumvents the ambiguity of choosing the genes for phylogenetic reconstruction and avoids the necessity of aligning sequences of essentially different length and gene content. The only "parameter" in the method is the length K of the oligopeptides, which serves to tune the "resolution power" of the method. The topology of the trees converges with K increasing. Applied to a total of 109 organisms, including 16 Archaea, 87 Bacteria, and 6 Eukarya, it yields an unrooted tree that agrees with the biologists' "tree of life" based on SSU rRNA comparison in a majority of basic branchings, and especially, in all lower taxa.
本文提出了一种从寡肽含量(即微生物完整蛋白质组中氨基酸K串的频率)推断微生物进化相关性的系统方法。新方法避免了在系统发育重建中选择基因的模糊性,并且无需比对长度和基因含量本质上不同的序列。该方法中唯一的“参数”是寡肽的长度K,它用于调节方法的“分辨能力”。随着K的增加,树的拓扑结构趋于收敛。将该方法应用于总共109种生物,包括16种古细菌、87种细菌和6种真核生物,得到一棵无根树,该树在大多数基本分支上,特别是在所有较低分类单元中,与基于小亚基核糖体RNA比较的生物学家的“生命之树”一致。