Environmental Biotechnology and Genomics Division, CSIR-National Environmental Engineering Research Institute, Nehru Marg, Nagpur, 440020, India.
Arch Microbiol. 2020 Aug;202(6):1269-1274. doi: 10.1007/s00203-020-01839-6. Epub 2020 Mar 4.
Environmental factors and available nutrients influence microbial communities, and with that, there exists a dynamic shift in community structure and hierarchy in wastewater treatment systems. Of the various factors, the availability and gradient of oxygen selectively enrich a typical microbial community and also form the community stratification which could be established through metagenomics studies. In recent years, metagenomics with various sets of bioinformatics tools has assisted in exploration and better insight into the organization and relation of the taxonomical and functional composition and associate physiological intelligence of the microbial communities. The microbial communities, under defined conditions acquire a typical hierarchy with flexible but active network of the metabolic route, which ensures the survival needs of every member residing in that community and their abundance. This knowledge of community functional organization defines the rule in designing and improving biodegradation processes in case of both aerobic and anaerobic systems.
环境因素和可用营养物质会影响微生物群落，因此，在污水处理系统中，群落结构和层次会发生动态变化。在各种因素中，氧气的可用性和梯度选择性地富集典型的微生物群落，并且通过宏基因组学研究形成群落分层。近年来，宏基因组学与各种生物信息学工具一起，有助于探索和更好地了解微生物群落的分类和功能组成的组织和关系，以及相关的生理智能。在特定条件下，微生物群落获得了一个典型的层次结构，具有灵活但活跃的代谢途径网络，这确保了居住在该群落中的每个成员的生存需求及其丰度。群落功能组织的这一知识定义了在设计和改进好氧和厌氧系统中的生物降解过程的规则。
