Dey Gautam, Jaimovich Ariel, Collins Sean R, Seki Akiko, Meyer Tobias
Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Cell Rep. 2015 Feb 17;10(6):993-1006. doi: 10.1016/j.celrep.2015.01.025. Epub 2015 Feb 12.
Functional links between genes can be predicted using phylogenetic profiling, by correlating the appearance and loss of homologs in subsets of species. However, effective genome-wide phylogenetic profiling has been hindered by the large fraction of human genes related to each other through historical duplication events. Here, we overcame this challenge by automatically profiling over 30,000 groups of homologous human genes (orthogroups) representing the entire protein-coding genome across 177 eukaryotic species (hOP profiles). By generating a full pairwise orthogroup phylogenetic co-occurrence matrix, we derive unbiased genome-wide predictions of functional modules (hOP modules). Our approach predicts functions for hundreds of poorly characterized genes. The results suggest evolutionary constraints that lead components of protein complexes and metabolic pathways to co-evolve while genes in signaling and transcriptional networks do not. As a proof of principle, we validated two subsets of candidates experimentally for their predicted link to the actin-nucleating WASH complex and cilia/basal body function.
通过关联物种亚群中同源物的出现和缺失情况,利用系统发育谱分析可以预测基因之间的功能联系。然而,由于通过历史复制事件相互关联的人类基因占比很大,有效的全基因组系统发育谱分析受到了阻碍。在这里,我们通过自动分析代表177种真核生物整个蛋白质编码基因组的30000多组同源人类基因(直系同源组)(hOP谱)克服了这一挑战。通过生成一个完整的成对直系同源组系统发育共现矩阵,我们得出了功能模块(hOP模块)的无偏全基因组预测。我们的方法预测了数百个特征不明确的基因的功能。结果表明,进化限制导致蛋白质复合物和代谢途径的成分共同进化,而信号和转录网络中的基因则不然。作为原理验证,我们通过实验验证了两个候选子集与肌动蛋白成核WASH复合物和纤毛/基体功能的预测联系。