Veyel Daniel, Erban Alexander, Fehrle Ines, Kopka Joachim, Schroda Michael
Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, D-14476 Potsdam-Golm, Germany.
Molecular Biotechnology & Systems Biology, Technical University of Kaiserslautern, Paul-Ehrlich-Str. 23, D-67663 Kaiserslautern, Germany.
Metabolites. 2014 Apr 11;4(2):184-217. doi: 10.3390/metabo4020184.
The generation of efficient production strains is essential for the use of eukaryotic microalgae for biofuel production. Systems biology approaches including metabolite profiling on promising microalgal strains, will provide a better understanding of their metabolic networks, which is crucial for metabolic engineering efforts. Chlamydomonas reinhardtii represents a suited model system for this purpose. We give an overview to genetically amenable microalgal strains with the potential for biofuel production and provide a critical review of currently used protocols for metabolite profiling on Chlamydomonas. We provide our own experimental data to underpin the validity of the conclusions drawn.
对于利用真核微藻生产生物燃料而言,高效生产菌株的产生至关重要。系统生物学方法,包括对有前景的微藻菌株进行代谢物分析,将有助于更好地理解其代谢网络,这对于代谢工程研究至关重要。莱茵衣藻是适用于此目的的模型系统。我们概述了具有生物燃料生产潜力且易于进行基因操作的微藻菌株,并对目前用于莱茵衣藻代谢物分析的方案进行了批判性综述。我们提供了自己的实验数据来支持所得结论的有效性。