Price Morgan N, Dehal Paramvir S, Arkin Adam P
Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
PLoS Comput Biol. 2007 Sep;3(9):1739-50. doi: 10.1371/journal.pcbi.0030175.
Transcription factors (TFs) form large paralogous gene families and have complex evolutionary histories. Here, we ask whether putative orthologs of TFs, from bidirectional best BLAST hits (BBHs), are evolutionary orthologs with conserved functions. We show that BBHs of TFs from distantly related bacteria are usually not evolutionary orthologs. Furthermore, the false orthologs usually respond to different signals and regulate distinct pathways, while the few BBHs that are evolutionary orthologs do have conserved functions. To test the conservation of regulatory interactions, we analyze expression patterns. We find that regulatory relationships between TFs and their regulated genes are usually not conserved for BBHs in Escherichia coli K12 and Bacillus subtilis. Even in the much more closely related bacteria Vibrio cholerae and Shewanella oneidensis MR-1, predicting regulation from E. coli BBHs has high error rates. Using gene-regulon correlations, we identify genes whose expression pattern differs between E. coli and S. oneidensis. Using literature searches and sequence analysis, we show that these changes in expression patterns reflect changes in gene regulation, even for evolutionary orthologs. We conclude that the evolution of bacterial regulation should be analyzed with phylogenetic trees, rather than BBHs, and that bacterial regulatory networks evolve more rapidly than previously thought.
转录因子(TFs)构成了庞大的旁系同源基因家族,并且具有复杂的进化历史。在此,我们探讨来自双向最佳BLAST比对结果(BBHs)的TFs假定直系同源物是否为具有保守功能的进化直系同源物。我们发现,来自远缘细菌的TFs的BBHs通常不是进化直系同源物。此外,假直系同源物通常对不同信号作出反应并调控不同的途径,而少数作为进化直系同源物的BBHs确实具有保守功能。为了测试调控相互作用的保守性,我们分析了表达模式。我们发现,在大肠杆菌K12和枯草芽孢杆菌中,TFs与其调控基因之间的调控关系对于BBHs通常并不保守。即使在亲缘关系更为密切的霍乱弧菌和希瓦氏菌MR-1中,根据大肠杆菌的BBHs预测调控也具有很高的错误率。利用基因-调控子相关性,我们鉴定出在大肠杆菌和希瓦氏菌中表达模式不同的基因。通过文献检索和序列分析,我们表明,即使对于进化直系同源物,这些表达模式的变化也反映了基因调控的变化。我们得出结论,细菌调控的进化应该用系统发育树而不是BBHs来分析,并且细菌调控网络的进化比以前认为的要快。