Hendry John I, Prasannan Charulata, Ma Fangfang, Möllers K Benedikt, Jaiswal Damini, Digmurti Madhuri, Allen Doug K, Frigaard Niels-Ulrik, Dasgupta Santanu, Wangikar Pramod P
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
DBT-Pan IIT Center for Bioenergy, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Biotechnol Bioeng. 2017 Oct;114(10):2298-2308. doi: 10.1002/bit.26350. Epub 2017 Jun 29.
Cyanobacteria, which constitute a quantitatively dominant phylum, have attracted attention in biofuel applications due to favorable physiological characteristics, high photosynthetic efficiency and amenability to genetic manipulations. However, quantitative aspects of cyanobacterial metabolism have received limited attention. In the present study, we have performed isotopically non-stationary C metabolic flux analysis (INST- C-MFA) to analyze rerouting of carbon in a glycogen synthase deficient mutant strain (glgA-I glgA-II) of the model cyanobacterium Synechococcus sp. PCC 7002. During balanced photoautotrophic growth, 10-20% of the fixed carbon is stored in the form of glycogen via a pathway that is conserved across the cyanobacterial phylum. Our results show that deletion of glycogen synthase gene orchestrates cascading effects on carbon distribution in various parts of the metabolic network. Carbon that was originally destined to be incorporated into glycogen gets partially diverted toward alternate storage molecules such as glucosylglycerol and sucrose. The rest is partitioned within the metabolic network, primarily via glycolysis and tricarboxylic acid cycle. A lowered flux toward carbohydrate synthesis and an altered distribution at the glucose-1-phosphate node indicate flexibility in the network. Further, reversibility of glycogen biosynthesis reactions points toward the presence of futile cycles. Similar redistribution of carbon was also predicted by Flux Balance Analysis. The results are significant to metabolic engineering efforts with cyanobacteria where fixed carbon needs to be re-routed to products of interest. Biotechnol. Bioeng. 2017;114: 2298-2308. © 2017 Wiley Periodicals, Inc.
蓝藻细菌在数量上占主导地位,由于其良好的生理特性、高光合效率以及易于进行基因操作,在生物燃料应用方面备受关注。然而,蓝藻细菌代谢的定量研究却受到的关注有限。在本研究中,我们进行了同位素非稳态碳代谢通量分析(INST-C-MFA),以分析模式蓝藻聚球藻属PCC 7002的糖原合酶缺陷突变株(glgA-I glgA-II)中碳的重新分配。在光合自养平衡生长期间,10%-20%的固定碳通过整个蓝藻门保守的途径以糖原形式储存。我们的结果表明,糖原合酶基因的缺失对代谢网络各部分的碳分布产生了级联效应。原本注定要掺入糖原的碳部分转向替代储存分子,如葡糖基甘油和蔗糖。其余部分则在代谢网络内分配,主要通过糖酵解和三羧酸循环。碳水化合物合成通量降低以及葡萄糖-1-磷酸节点处分布改变表明网络具有灵活性。此外,糖原生物合成反应的可逆性表明存在无效循环。通量平衡分析也预测了类似的碳重新分配。这些结果对于蓝藻细菌的代谢工程研究具有重要意义,在这些研究中,需要将固定碳重新导向目标产物。《生物技术与生物工程》2017年;114:2298 - 2308。©2017威利期刊公司