Baroukh Caroline, Muñoz-Tamayo Rafael, Steyer Jean-Philippe, Bernard Olivier
INRA UR0050, Laboratoire des Biotechnologies de l׳Environnement, avenue des étangs, 11100 Narbonne, France; Inria, BIOCORE, 2004 route des lucioles, 06902 Sophia-Antipolis, France.
Inria, BIOCORE, 2004 route des lucioles, 06902 Sophia-Antipolis, France.
Metab Eng. 2015 Jul;30:49-60. doi: 10.1016/j.ymben.2015.03.019. Epub 2015 Apr 25.
The most promising and yet challenging application of microalgae and cyanobacteria is the production of renewable energy: biodiesel from microalgae triacylglycerols and bioethanol from cyanobacteria carbohydrates. A thorough understanding of microalgal and cyanobacterial metabolism is necessary to master and optimize biofuel production yields. To this end, systems biology and metabolic modeling have proven to be very efficient tools if supported by an accurate knowledge of the metabolic network. However, unlike heterotrophic microorganisms that utilize the same substrate for energy and as carbon source, microalgae and cyanobacteria require light for energy and inorganic carbon (CO2 or bicarbonate) as carbon source. This double specificity, together with the complex mechanisms of light capture, makes the representation of metabolic network nonstandard. Here, we review the existing metabolic networks of photoautotrophic microalgae and cyanobacteria. We highlight how these networks have been useful for gaining insight on photoautotrophic metabolism.
利用微藻三酰甘油生产生物柴油，利用蓝细菌碳水化合物生产生物乙醇。要掌握并优化生物燃料的产量，就必须深入了解微藻和蓝细菌的代谢过程。为此，如果有准确的代谢网络知识作为支撑，系统生物学和代谢建模已被证明是非常有效的工具。然而，与利用相同底物作为能量和碳源的异养微生物不同，微藻和蓝细菌需要光来获取能量，并以无机碳（二氧化碳或碳酸氢盐）作为碳源。这种双重特异性，再加上复杂的光捕获机制，使得代谢网络的表示方式不标准。在此，我们综述了光合自养微藻和蓝细菌现有的代谢网络。我们强调了这些网络如何有助于深入了解光合自养代谢。
