Liu Jianming, Chan Siu Hung Joshua, Chen Jun, Solem Christian, Jensen Peter Ruhdal
National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
Front Microbiol. 2019 Apr 30;10:876. doi: 10.3389/fmicb.2019.00876. eCollection 2019.
Lactic Acid Bacteria (LAB) are extensively employed in the production of various fermented foods, due to their safe status, ability to affect texture and flavor and finally due to the beneficial effect they have on shelf-life. More recently, LAB have also gained interest as production hosts for various useful compounds, particularly compounds with sensitive applications, such as food ingredients and therapeutics. As for all industrial microorganisms, it is important to have a good understanding of the physiology and metabolism of LAB in order to fully exploit their potential, and for this purpose, many systems biology approaches are available. Systems metabolic engineering, an approach that combines optimization of metabolic enzymes/pathways at the systems level, synthetic biology as well as model simulation, has been used to build microbial cell factories for production of biofuels, food ingredients and biochemicals. When developing LAB for use in foods, genetic engineering is in general not an accepted approach. An alternative is to screen mutant libraries for candidates with desirable traits using high-throughput screening technologies or to use adaptive laboratory evolution to select for mutants with special properties. In both cases, by using omics data and data-driven technologies to scrutinize these, it is possible to find the underlying cause for the desired attributes of such mutants. This review aims to describe how systems biology tools can be used for obtaining both engineered as well as non-engineered LAB with novel and desired properties.
乳酸菌(LAB)因其安全特性、影响质地和风味的能力以及对保质期的有益作用,而被广泛应用于各种发酵食品的生产中。最近,乳酸菌作为各种有用化合物的生产宿主也受到了关注,特别是那些具有敏感应用的化合物,如食品成分和治疗剂。对于所有工业微生物来说,深入了解乳酸菌的生理学和代谢过程以充分发挥其潜力非常重要,为此,有许多系统生物学方法可供使用。系统代谢工程是一种在系统层面结合代谢酶/途径优化、合成生物学以及模型模拟的方法,已被用于构建生产生物燃料、食品成分和生物化学品的微生物细胞工厂。在开发用于食品的乳酸菌时,基因工程通常不是一种被认可的方法。一种替代方法是使用高通量筛选技术筛选突变文库以寻找具有理想性状的候选菌株,或者使用适应性实验室进化来选择具有特殊性质的突变体。在这两种情况下,通过使用组学数据和数据驱动技术来仔细研究这些突变体,有可能找到此类突变体所需特性的潜在原因。本综述旨在描述如何使用系统生物学工具来获得具有新颖和理想特性的工程化和非工程化乳酸菌。