Department of Biology, Brookhaven National Laboratory Upton, NY, USA.
Front Plant Sci. 2011 Oct 10;2:63. doi: 10.3389/fpls.2011.00063. eCollection 2011.
Metabolic flux is a fundamental property of living organisms. In recent years, methods for measuring metabolic flux in plants on a network scale have evolved further. One major challenge in studying flux in plants is the complexity of the plant's metabolism. In particular, in the presence of parallel pathways in multiple cellular compartments, the core of plant central metabolism constitutes a complex network. Hence, a common problem with the reliability of the contemporary results of (13)C-Metabolic Flux Analysis in plants is the substantial reduction in complexity that must be included in the simulated networks; this omission partly is due to limitations in computational simulations. Here, I discuss recent emerging strategies that will better address these shortcomings.
代谢通量是生物体的基本特性。近年来，在网络尺度上测量植物代谢通量的方法又有了进一步的发展。研究植物通量的一个主要挑战是植物代谢的复杂性。特别是在多个细胞区室中存在平行途径的情况下，植物中心代谢的核心构成了一个复杂的网络。因此，（13）C-代谢通量分析在植物中的当代结果的可靠性的一个常见问题是必须包括在模拟网络中的复杂性的大量减少；这种省略部分是由于计算模拟的限制。在这里，我将讨论最近出现的一些策略，这些策略将更好地解决这些缺点。
