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Comparative Systems Biology of the Sporulation Initiation Network in Prokaryotes

机译:原核生物中孢子率启动网络的比较系统生物学

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Many years of experimental and computational molecular biology of model organisms such as Escherichia coli and Saccharomyces cerevisiae has elucidated the gene regulatory network in these organisms. Relatively little is known about gene regulation in species other than the model organisms, whether gene regulatory networks are conserved, and to what degree our knowledge based on model organisms reflects biological networks occurring in nature as a whole. In this paper, we describe a first attempt to understand the gene regulatory network in lesser-known organisms, using our knowledge of gene regulation in a well-understood model organism. Such an extrapolation is particularly valuable in the study of disease-causing infectious agents, as well as other organisms that are difficult to grow or handle in a laboratory environment. In addition, comparative systems biology can identify which parts of biological networks are poorly understood and are therefore promising venues for further experimental research. We analyze the gene regulatory network responsible for the initiation of sporulation in fourteen target organisms, using Bacillus subtilis as the model organism. Instead of focusing on individual transcription factor binding sites, we devise a scoring function that takes into account the effect of multiple transcription factors binding to the regulatory region. Whereas the core gene regulatory network appears to be conserved, the degree of conservation decreases rapidly for more remote organisms, as well as for regulatory relations in the periphery of the network. Our work shows that gene regulation is still poorly understood in species other than the model organisms.
机译:多年的模式生物如大肠杆菌和酿酒酵母的实验和计算分子生物学已经阐明这些生物的基因调控网络。相对鲜为人知的是,在比模式生物其他物种的基因调控,基因调控网络是否是保守的,到什么程度我们基于模式生物的知识体现在自然界中作为一个整体存在的生物网络。在本文中,我们描述了第一次尝试,了解鲜为人知的生物的基因调控网络,用我们的基因调控的认识在一个易于理解的模式生物。这样的推断是导致疾病的传染源,以及其他生物难以生长或手柄在实验室环境下的研究特别有价值。此外,比较系统生物学可以识别的生物网络的部分了解甚少,因此是有希望的进一步实验研究场所。我们分析了基因调控网络负责孢子的十四靶标生物的启动,使用枯草芽孢杆菌作为模式生物。而不是侧重于单个转录因子结合位点,我们设计一个打分函数,考虑到多种转录因子结合的调控区域的影响。而核心基因调控网络似乎是保守的,保护的程度迅速减小为更远程的生物体,以及用于在网络的周边调控关系。我们的工作表明,基因调控比模式生物等品种依然知之甚少。

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