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水稻代谢中的代谢可塑性与区室间相互作用:基于反应缺失研究的分析

Metabolic Plasticity and Inter-Compartmental Interactions in Rice Metabolism: An Analysis from Reaction Deletion Study.

作者信息

Shaw Rahul, Kundu Sudip

机构信息

Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92 APC Road, Kolkata 700009, West Bengal, India.

Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92 APC Road, Kolkata 700009, West Bengal, India; Centre of Excellence in Systems Biology & Biomedical Engineering, (TEQIP, Phase-II), University of Calcutta, 92 APC Road, Kolkata 700009, West Bengal, India.

出版信息

PLoS One. 2015 Jul 29;10(7):e0133899. doi: 10.1371/journal.pone.0133899. eCollection 2015.

Abstract

More than 20% of the total caloric intake of human population comes from rice. The expression of rice genes and hence, the concentration of enzymatic proteins might vary due to several biotic and abiotic stresses. It in turn, can influence the overall metabolism and survivability of rice plant. Thus, understanding the rice cellular metabolism, its plasticity and potential readjustments under different perturbations can help rice biotechnologists to design efficient rice cultivars. Here, using the flux balance analysis (FBA) method, with the help of in-silico reaction deletion strategy, we study the metabolic plasticity of genome-scale metabolic model of rice leaf. A set of 131 reactions, essential for the production of primary biomass precursors is identified; deletion of any of them can inhibit the overall biomass production. Usability Index (IU) for the rest of the reactions are estimated and based on this parameter, they are classified into three categories-maximally-favourable, quasi-favourable and unfavourable for the primary biomass production. The lower value of 1 - IU of a reaction suggests that the cell cannot easily bypass it for biomass production. While some of the alternative paths are energetically equally efficient, others demand for higher photon. The variations in (i) ATP/NADPH ratio, (ii) exchange of metabolites through chloroplastic transporters and (iii) total biomass production are also presented here. Mutual metabolic dependencies of different cellular compartments are also demonstrated.

摘要

人类总热量摄入的20%以上来自水稻。由于多种生物和非生物胁迫,水稻基因的表达以及酶蛋白的浓度可能会有所不同。这进而会影响水稻植株的整体代谢和生存能力。因此,了解水稻细胞代谢、其可塑性以及在不同扰动下的潜在调整,有助于水稻生物技术专家设计出高效的水稻品种。在此,我们使用通量平衡分析(FBA)方法,借助计算机模拟反应删除策略,研究水稻叶片基因组规模代谢模型的代谢可塑性。确定了一组131个对初级生物量前体生产至关重要的反应;删除其中任何一个反应都可能抑制整体生物量生产。估算了其余反应的可用性指数(IU),并基于此参数将它们分为三类——对初级生物量生产最有利、准有利和不利。一个反应的1 - IU值越低,表明细胞在生物量生产中不容易绕过该反应。虽然一些替代途径在能量上同样高效,但其他途径需要更高的光子。这里还展示了(i)ATP/NADPH比值、(ii)通过叶绿体转运体的代谢物交换以及(iii)总生物量生产的变化。还证明了不同细胞区室之间的相互代谢依赖性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e420/4519304/79ed81fcc732/pone.0133899.g001.jpg

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