Guzmán-Vargas Lev, Santillán Moisés
Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Av, IPN No, 2580, L, Ticomán, México D,F, 07340, México.
BMC Syst Biol. 2008 Jan 31;2:13. doi: 10.1186/1752-0509-2-13.
The regulatory interactions between transcription factors (TF) and regulated genes (RG) in a species genome can be lumped together in a single directed graph. The TF's and RG's conform the nodes of this graph, while links are drawn whenever a transcription factor regulates a gene's expression. Projections onto TF nodes can be constructed by linking every two nodes regulating a common gene. Similarly, projections onto RG nodes can be made by linking every two regulated genes sharing at least one common regulator. Recent studies of the connectivity pattern in the transcription-factor regulatory network of many organisms have revealed some interesting properties. However, the differences between TF and RG nodes have not been widely explored.
After analysing the RG and TF projections of the transcription-factor gene regulatory networks of Escherichia coli and Saccharomyces cerevisiae, we found several common characteristic as well as some noticeable differences. To better understand these differences, we compared the properties of the E. coli and S. cerevisiae RG- and TF-projected networks with those of the corresponding projections built from randomized versions of the original bipartite networks. These last results indicate that the observed differences are mostly due to the very different ratios of TF to RG counts of the E. coli and S. cerevisiae bipartite networks, rather than to their having different connectivity patterns.
Since E. coli is a prokaryotic organism while S. cerevisiae is eukaryotic, there are important differences between them concerning processing of mRNA before translation, DNA packing, amount of junk DNA, and gene regulation. From the results in this paper we conclude that the most important effect such differences have had on the development of the corresponding transcription-factor gene regulatory networks is their very different ratios of TF to RG numbers. This ratio is more than three times larger in S. cerevisiae than in E. coli. Our calculations reveal that, both species' gene regulatory networks have very similar connectivity patterns, despite their very different TF to RG ratios. An this, to our consideration, indicates that the structure of both networks is optimal from an evolutionary viewpoint.
一个物种基因组中转录因子(TF)与被调控基因(RG)之间的调控相互作用可以汇总在一个单一的有向图中。TF和RG构成了该图的节点,而每当一个转录因子调控一个基因的表达时就绘制链接。通过连接调控同一个基因的每两个节点,可以构建到TF节点的投影。类似地,通过连接至少共享一个共同调控因子的每两个被调控基因,可以构建到RG节点的投影。最近对许多生物体转录因子调控网络中连接模式的研究揭示了一些有趣的特性。然而,TF和RG节点之间的差异尚未得到广泛探索。
在分析了大肠杆菌和酿酒酵母转录因子基因调控网络的RG和TF投影后,我们发现了几个共同特征以及一些显著差异。为了更好地理解这些差异,我们将大肠杆菌和酿酒酵母RG和TF投影网络的特性与从原始二分网络的随机版本构建的相应投影的特性进行了比较。这些最后的结果表明,观察到的差异主要是由于大肠杆菌和酿酒酵母二分网络中TF与RG数量的比例非常不同,而不是由于它们具有不同的连接模式。
由于大肠杆菌是原核生物而酿酒酵母是真核生物,它们在翻译前mRNA的加工、DNA包装、垃圾DNA的数量和基因调控方面存在重要差异。从本文的结果我们得出结论,这些差异对相应转录因子基因调控网络发展的最重要影响是它们非常不同的TF与RG数量比例。酿酒酵母中的这个比例比大肠杆菌中的大三倍多。我们的计算表明,尽管两个物种的基因调控网络的TF与RG比例非常不同,但它们具有非常相似的连接模式。在我们看来,这表明从进化的角度来看,两个网络的结构都是最优的。