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A Comprehensively Curated Genome-Scale Two-Cell Model for the Heterocystous Cyanobacterium Anabaena sp. PCC 7120

机译:一个综合治愈的基因组规模的两细胞模型的杂种蓝藻鱼腥藻。 PCC 7120

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摘要

Anabaena sp. PCC 7120 is a nitrogen-fixing filamentous cyanobacterium. Under nitrogen-limiting conditions, a fraction of the vegetative cells in each filament terminally differentiate to nongrowing heterocysts. Heterocysts are metabolically and structurally specialized to enable O2-sensitive nitrogen fixation. The functionality of the filament, as an association of vegetative cells and heterocysts, is postulated to depend on metabolic exchange of electrons, carbon, and fixed nitrogen. In this study, we compile and evaluate a comprehensive curated stoichiometric model of this two-cell system, with the objective function based on the growth of the filament under diazotrophic conditions. The predicted growth rate under nitrogen-replete and -deplete conditions, as well as the effect of external carbon and nitrogen sources, was thereafter verified. Furthermore, the model was utilized to comprehensively evaluate the optimality of putative metabolic exchange reactions between heterocysts and vegetative cells. The model suggested that optimal growth requires at least four exchange metabolites. Several combinations of exchange metabolites resulted in predicted growth rates that are higher than growth rates achieved by only considering exchange of metabolites previously suggested in the literature. The curated model of the metabolic network of Anabaena sp. PCC 7120 enhances our ability to understand the metabolic organization of multicellular cyanobacteria and provides a platform for further study and engineering of their metabolism.
机译:鱼腥藻PCC 7120是固氮丝状蓝细菌。在氮限制条件下,每根丝中的一部分营养细胞最终分化为未生长的异囊。异质囊在代谢和结构上都经过特殊处理,可以使O2敏感的氮固定。细丝的功能性,作为营养细胞和异型囊的关联,被认为取决于电子,碳和固定氮的代谢交换。在这项研究中,我们编译并评估了该双电池系统的综合化学计量模型,其目标函数基于重氮营养条件下长丝的生长。此后,验证了在富氮和富氮条件下的预测增长率以及外部碳源和氮源的影响。此外,该模型被用来全面评估异型囊和营养细胞之间假定的代谢交换反应的最佳性。该模型表明,最佳生长至少需要四种交换代谢产物。交换代谢物的几种组合产生的预测增长率高于仅考虑文献中先前建议的代谢物交换所实现的增长率。鱼腥藻代谢网络的策划模型。 PCC 7120增强了我们了解多细胞蓝细菌代谢组织的能力,并为进一步研究和工程化其代谢提供了平台。

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