Systems Biology for Biofuels Group, International Centre for Genetic Engineering and Biotechnology, ICGEB Campus, Aruna Asaf Ali Marg, New Delhi 110067, India.
Department of Chemistry, Purdue University, West Lafayette, IN 47907, United States.
Bioresour Technol. 2022 Jan;343:126007. doi: 10.1016/j.biortech.2021.126007. Epub 2021 Sep 22.
Cyanobacteria are oxygenic photoautotrophs whose metabolism contains key biochemical pathways to fix atmospheric CO and synthesize various metabolites. The development of bioengineering tools has enabled the manipulation of cyanobacterial chassis to produce various valuable bioproducts photosynthetically. However, effective utilization of cyanobacteria as photosynthetic cell factories needs a detailed understanding of their metabolism and its interaction with other cellular processes. Implementing systems and synthetic biology tools has generated a wealth of information on various metabolic pathways. However, to design effective engineering strategies for further improvement in growth, photosynthetic efficiency, and enhanced production of target biochemicals, in-depth knowledge of their carbon/nitrogen metabolism, pathway fluxe distribution, genetic regulation and integrative analyses are necessary. In this review, we discuss the recent advances in the development of genome-scale metabolic models (GSMMs), omics analyses (metabolomics, transcriptomics, proteomics, fluxomics), and integrative modeling approaches to showcase the current understanding of cyanobacterial metabolism.
蓝藻是产氧光合作用自养生物,其新陈代谢包含固定大气 CO 和合成各种代谢物的关键生化途径。生物工程工具的发展使操纵蓝藻底盘以光合作用方式生产各种有价值的生物制品成为可能。然而,要有效地将蓝藻用作光合细胞工厂,需要详细了解它们的新陈代谢及其与其他细胞过程的相互作用。实施系统和合成生物学工具已经产生了大量关于各种代谢途径的信息。然而,为了设计有效的工程策略,进一步提高生长、光合作用效率和目标生物化学物质的产量,需要深入了解其碳/氮代谢、途径通量分布、遗传调控和综合分析。在这篇综述中,我们讨论了基因组规模代谢模型 (GSMM)、组学分析(代谢组学、转录组学、蛋白质组学、通量组学)和综合建模方法的最新进展,以展示对蓝藻代谢的当前理解。