Isazadeh Siavash, Jauffur Shameem, Frigon Dominic
Department of Civil Engineering and Applied Mechanics, McGill University, Montreal, Quebec, Canada.
Microbiologyopen. 2016 Dec;5(6):1050-1060. doi: 10.1002/mbo3.388. Epub 2016 Oct 19.
Effect of ecological variables on community assembly of heterotrophic bacteria at eight full-scale and two pilot-scale activated sludge wastewater treatment plants (AS-WWTPs) were explored by pyrosequencing of 16S rRNA gene amplicons. In total, 39 samples covering a range of abiotic factors spread over space and time were analyzed. A core bacterial community of 24 families detected in at least six of the eight AS-WWTPs was defined. In addition to the core families, plant-specific families (observed at <50% AS-WWTPs) were found to be also important in the community structure. Observed beta diversity was partitioned with respect to ecological variables. Specifically, the following variables were considered: influent wastewater characteristics, season (winter vs. summer), process operations (conventional, oxidation ditch, and sequence batch reactor), reactor sizes (pilot-scale vs. full-scale reactors), chemical stresses defined by ozonation of return activated sludge, interannual variation, and geographical locations. Among the assessed variables, influent wastewater characteristics and geographical locations contributed more in explaining the differences between AS-WWTP bacterial communities with a maximum of approximately 26% of the observed variations. Partitioning of beta diversity is necessary to interpret the inherent variability in microbial community assembly and identify the driving forces at play in engineered microbial ecosystem.
通过对16S rRNA基因扩增子进行焦磷酸测序,探究了生态变量对八个全尺寸和两个中试规模的活性污泥废水处理厂(AS-WWTPs)中异养细菌群落组装的影响。总共分析了39个样本,这些样本涵盖了一系列随空间和时间变化的非生物因素。定义了在八个AS-WWTPs中至少六个中检测到的24个科的核心细菌群落。除了核心科之外,还发现特定于工厂的科(在<50%的AS-WWTPs中观察到)在群落结构中也很重要。观察到的β多样性根据生态变量进行划分。具体而言,考虑了以下变量:进水废水特征、季节(冬季与夏季)、工艺操作(传统工艺、氧化沟和序批式反应器)、反应器尺寸(中试规模与全尺寸反应器)、由回流活性污泥臭氧化定义的化学胁迫、年际变化和地理位置。在评估的变量中,进水废水特征和地理位置在解释AS-WWTP细菌群落之间的差异方面贡献更大,最多可解释约26%的观察到的变异。划分β多样性对于解释微生物群落组装中的固有变异性以及识别工程微生物生态系统中起作用的驱动力是必要的。