Department of Plant Biology, Michigan State University, East Lansing, MI 48823, USA.
J Exp Bot. 2012 Mar;63(6):2343-51. doi: 10.1093/jxb/ers057. Epub 2012 Feb 29.
The efficiency of carbon and energy flows throughout metabolism defines the potential for growth and reproductive success of plants. Understanding the basis for metabolic efficiency requires relevant definitions of efficiency as well as measurements of biochemical functions through metabolism. Here insights into the basis of efficiency provided by (13)C-based metabolic flux analysis (MFA) as well as the uses and limitations of efficiency in predictive flux balance analysis (FBA) are highlighted. (13)C-MFA studies have revealed unusual features of central metabolism in developing green seeds for the efficient use of light to conserve carbon and identified metabolic inefficiencies in plant metabolism due to dissipation of ATP by substrate cycling. Constraints-based FBA has used efficiency to guide the prediction of the growth and actual internal flux distribution of plant systems. Comparisons in a few cases have been made between flux maps measured by (13)C-based MFA and those predicted by FBA assuming one or more maximal efficiency parameters. These studies suggest that developing plant seeds and photoautotrophic microorganisms may indeed have patterns of metabolic flux that maximize efficiency. MFA and FBA are synergistic toolsets for uncovering and explaining the metabolic basis of efficiencies and inefficiencies in plant systems.
碳和能量在整个新陈代谢中的流动效率决定了植物生长和繁殖成功的潜力。理解代谢效率的基础需要对效率进行相关定义,并通过新陈代谢测量生化功能。本文重点介绍了基于 (13)C 的代谢通量分析 (MFA) 提供的效率基础见解,以及预测通量平衡分析 (FBA) 中效率的用途和局限性。(13)C-MFA 研究揭示了绿色种子在有效利用光来保存碳方面的中心代谢的不寻常特征,并确定了由于底物循环消耗 ATP 导致的植物代谢中的代谢效率低下。基于约束的 FBA 已使用效率来指导对植物系统的生长和实际内部通量分布的预测。在少数情况下,已经对基于 (13)C 的 MFA 测量的通量图与假设一个或多个最大效率参数的 FBA 预测的通量图进行了比较。这些研究表明,发育中的植物种子和自养微生物的代谢通量模式确实可能最大化效率。MFA 和 FBA 是揭示和解释植物系统中效率和效率低下的代谢基础的协同工具集。