课题基金 / 基金详情

Photorespiration-centred metabolic modelling: reconstruction and structural analysis of the network of primary metabolism in cyanobacteria, comparison to eukaryotic energy and central carbon metabolism, metabolic engineering approach for optimisation of C

Photorespiration-centred metabolic modelling: reconstruction and structural analysis of the network of primary metabolism in cyanobacteria, comparison to eukaryotic energy and central carbon metabolism, metabolic engineering approach for optimisation of C
以光呼吸为中心的代谢模型:蓝藻初级代谢网络的重建和结构分析,与真核能量和中心碳代谢的比较,优化C的代谢工程方法
批准号:
134778053
负责人:
Professor Dr. Olaf Wolkenhauer
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Units
财政年份:
2009
资助国家:
德国
项目状态:
已结题
起止时间:
2008-12-31 至 2012-12-31

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中文摘要
翻译
在这个项目中,模型师和实验者合作的目的是应用计算方法来提高我们对光合作用碳代谢的理解,特别是它与光呼吸途径有关的效率和调节。我们既可以建立在我们之前对卡尔文-本森循环和相邻路径的研究基础上,也可以建立在我们与哈格曼小组合作的结果之上。本文以细长聚球藻PCC7942和聚球藻为研究对象,研究了长聚球藻和聚球藻从高二氧化碳到低二氧化碳后的碳通量重定向。PCC 6803。下一个资金期将集中于确定蓝藻和C3植物(以及可选的C4植物)运输链中的限速步骤和关键的代谢调节因子,这将需要多水平的建模方法,整合代谢和转录数据、光呼吸敲除突变体、标记实验和过度表达。建模工作将从非隔室表示开始,它将确定隔间和分离代谢物池之间的转运器链中可能的速率限制。最后,比较没有羧体、C3和C4碳固定的蓝藻光呼吸突变体,可以对碳代谢的效率提供新的见解。
英文摘要
The purpose of the cooperation between modelers and experimentalists in this project is to apply computational approaches to improve our understanding of photosynthetic carbon metabolism, particularly its efficiency and regulation in connection with the photorespiratory pathway. We can build both on our previous study of the Calvin-Benson cycle and adjacent pathways as well as on the results coming from our collaboration with Hagemann group. This work focuses on the redirection of carbon flux after changing from high to low CO2 in the case of Synechococcus elongatus PCC 7942 and Synechocystis sp. PCC 6803. The next funding period would concentrate on identifying the rate-limiting steps in the transport-chain and critical metabolic regulators in cyanobacteria and C3 plants (and optionally in C4 plants) which will require multi-level modeling approach, integrating metabolic and transcriptomic data, photorespiratory knockout mutants, labelling experiments and overexpression. The modeling efforts will start with non-compartmental representation which will identify possible rate limitations in the transporter-chain among compartments and separated pools of metabolites. Finally, comparison between cyanobacterial photorespiratory mutant without the carboxysome, C3 and C4 carbon fixations can provide new insight into efficiency of the carbon metabolism.
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