Lozada-Chávez Irma, Angarica Vladimir Espinosa, Collado-Vides Julio, Contreras-Moreira Bruno
Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Av. Universidad s/n, Cuernavaca, 62210 Morelos, México.
J Mol Biol. 2008 Jun 6;379(3):627-43. doi: 10.1016/j.jmb.2008.04.008. Epub 2008 Apr 9.
Understanding the mechanisms by which transcriptional regulatory networks (TRNs) change through evolution is a fundamental problem.Here, we analyze this question using data from Escherichia coli and Bacillus subtilis, and find that paralogy relationships are insufficient to explain the global or local role observed for transcription factors (TFs) within regulatory networks. Our results provide a picture in which DNA-binding specificity, a molecular property that can be measured in different ways, is a predictor of the role of transcription factors. In particular, we observe that global regulators consistently display low levels of binding specificity, while displaying comparatively higher expression values in microarray experiments. In addition, we find a strong negative correlation between binding specificity and the number of co-regulators that help coordinate genetic expression on a genomic scale. A close look at several orthologous TFs,including FNR, a regulator found to be global in E. coli and local in B.subtilis, confirms the diagnostic value of specificity in order to understand their regulatory function, and highlights the importance of evaluating the metabolic and ecological relevance of effectors as another variable in the evolutionary equation of regulatory networks. Finally, a general model is presented that integrates some evolutionary forces and molecular properties,aiming to explain how regulons grow and shrink, as bacteria tune their regulation to increase adaptation.
理解转录调控网络(TRNs)如何通过进化发生变化是一个基本问题。在此,我们利用来自大肠杆菌和枯草芽孢杆菌的数据来分析这个问题,发现旁系同源关系不足以解释调控网络中观察到的转录因子(TFs)的全局或局部作用。我们的结果呈现出这样一种情况:DNA结合特异性作为一种可以通过不同方式测量的分子特性,是转录因子作用的一个预测指标。具体而言,我们观察到全局调控因子始终表现出较低水平的结合特异性,同时在微阵列实验中表现出相对较高的表达值。此外,我们发现结合特异性与在基因组尺度上帮助协调基因表达的共调控因子数量之间存在强烈的负相关。仔细研究几个直系同源转录因子,包括在大肠杆菌中被发现是全局调控因子而在枯草芽孢杆菌中是局部调控因子的FNR,证实了特异性对于理解其调控功能的诊断价值,并强调了评估效应物的代谢和生态相关性作为调控网络进化方程中的另一个变量的重要性。最后,我们提出了一个整合了一些进化力量和分子特性的通用模型,旨在解释随着细菌调整其调控以增强适应性,调控子如何生长和收缩。