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Maps for when the living gets tough: Maneuvering through a hostile energy landscape

机译:当生活变得艰难时的地图:在敌对的能源环境中进行机动

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With genome sequencing of thousands of organisms, a scaffold has become available for data integration: molecular information can now be organized by attaching it to the genes and their gene-expression products. It is however, the genome that is selfish not the gene, making it necessary to organize the information into maps that enable functional interpretation of the fitness of the genome. Using flux balance analysis one can calculate the theoretical capabilities of the living organism. Here we examine whether according to this genome organized information, organisms such as the ones present when life on Earth began, are able to assimilate the Gibbs energy and carbon that life needs for its reproduction and maintenance, from a relatively poor Gibbs-energy environment. We shall address how Clostridium ljungdahlii may use at least two special features and one special pathway to this end: gear-shifting, electron bifurcation and the Wood-Ljungdahl pathway. Additionally, we examined whether the C. ljungdahlii map can also help solve the problem of waste management. We find that there is a definite effect of the choices of redox equivalents in the Wood-Ljungdahl pathway and the hydrogenase on the yield of interesting products like hydroxybutyrate. We provide a drawing of a subset of the metabolic network that may be utilized to project flux distributions onto by the community in future works. Furthermore, we make all the code leading to the results discussed here publicly available for the benefit of future work.
机译:随着成千上万种生物的基因组测序,支架已经可以用于数据集成:现在可以通过将分子信息附加到基因及其基因表达产物上来组织分子信息。但是,基因组是自私的而不是基因,因此有必要将信息组织成能对基因组适应性进行功能解释的图谱。使用通量平衡分析,可以计算出生物体的理论能力。在这里,我们检查根据该基因组组织的信息,是否存在诸如地球生命开始时所存在的生物之类的生物能够从相对较差的吉布斯能量环境中吸收生命为其繁殖和维持所需的吉布斯能量和碳。我们将讨论梭菌梭菌如何至少使用两个特殊功能和一个为此目的的特殊途径:变速,电子分叉和伍德-隆达尔途径。此外,我们检查了C. ljungdahlii地图是否也可以帮助解决废物管理问题。我们发现,Wood-Ljungdahl途径中的氧化还原当量的选择和氢化酶对有趣的产品(如羟基丁酸酯)的产率产生了确定的影响。我们提供了新陈代谢网络的子集的图形,可用于在未来的工作中将流量分布分配给社区。此外,为了将来的工作,我们公开了所有导致此处讨论的结果的代码。

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