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Relating digital information, thermodynamic stability, and classes of functional genes in E. coli

机译:关联大肠杆菌中的数字信息,热力学稳定性和功能基因的类别

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Tremendous efforts have been made to analyze and discern the digital information content of the DNA ever since the introduction of the Watson-Crick model, later fueled by the availability of genomic data. However, there is also an analog type of information which is related to the physicochemical properties of the DNA, manifested in structural and topological variations of the chromosome. Hence, investigating the relationship between digital information contained in the sequence of bases and the analog parameters associated with it is very important to the general understanding of the coding structure in the DNA. In this paper, we represented analog information by thermodynamic stability and compare it with digital information using Shannon and Gibbs entropy measures on the complete genome sequence of the bacteria Escherichia coli (E. coli). Furthermore, the link to the broader classes of functional gene groups (anabolic, catabolic, aerobic, and anaerobic) is examined. In most regions of the genome, the Shannon and Gibbs entropies are anti-correlated. Around the terminus, there is an almost perfect anti-correlation with high Shannon and low Gibbs entropies, meaning that the sequence is more random and at the same time less stable. The other core finding is the very high similarity in the profiles of entropies and the distribution of anabolic genes.
机译:自从沃特森 - 克里克模型引入以来,已经进行了巨大的努力来分析和辨别DNA的数字信息含量,以后通过基因组数据的可用性来推动。然而,还存在与DNA的物理化学特性有关的模拟类型,表现为染色体的结构和拓扑变化。因此,研究基地序列中包含的数字信息与与其相关联的模拟参数之间的关系对于对DNA中的编码结构的一般理解非常重要。在本文中,我们通过热力学稳定性代表了模拟信息,并使用Shannon和Gibbs熵措施将其与数字信息进行比较细菌大肠杆菌(大肠杆菌)的完整基因组序列。此外,研究了对更广泛的功能基因组(代谢,分解代谢,有氧和厌氧)的链接。在基因组的大多数区域,Shannon和Gibbs Entroping是反相关的。周到末端,与高香农和低吉布斯熵有几乎完美的反相关,这意味着序列更随机,同时稳定。另一个核心发现是熵谱和合成代谢基因分布的高度相似性。

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