共 46 条
Metabolic network flux analysis for engineering plant systems
被引:32
作者:

Shachar-Hill, Yair
论文数: 0 引用数: 0
h-index: 0
机构:
Michigan State Univ, Dept Plant Biol, E Lansing, MI 48864 USA Michigan State Univ, Dept Plant Biol, E Lansing, MI 48864 USA
机构:
[1] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48864 USA
关键词:
GENOME-SCALE;
AMINO-ACIDS;
INFORMATION;
COMPARTMENTATION;
RECONSTRUCTION;
CATABOLISM;
STABILITY;
ENDOSPERM;
PATHWAYS;
INSIGHTS;
D O I:
10.1016/j.copbio.2013.01.004
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Metabolic network flux analysis (NFA) tools have proven themselves to be powerful aids to metabolic engineering of microbes by providing quantitative insights into the flows of material and energy through cellular systems. The development and application of NFA tools to plant systems has advanced in recent years and are yielding significant insights and testable predictions. Plants present substantial opportunities for the practical application of NFA but they also pose serious challenges related to the complexity of plant metabolic networks and to deficiencies in our knowledge of their structure and regulation. By considering the tools available and selected examples, this article attempts to assess where and how NFA is most likely to have a real impact on plant biotechnology.
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页码:247 / 255
页数:9
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