Applied Microbial and Health Biotechnology Institute (AMBHI), Bellville Campus, Symphony Way Cape Peninsula University of Technology, Cape Town, 7530, South Africa; Ekurhuleni Water Care Company (ERWAT), Hartebeestfontein Office Park, Kempton Park NU, Kempton Park, 1512, South Africa.
Ekurhuleni Water Care Company (ERWAT), Hartebeestfontein Office Park, Kempton Park NU, Kempton Park, 1512, South Africa.
Environ Res. 2023 Apr 1;222:115394. doi: 10.1016/j.envres.2023.115394. Epub 2023 Jan 30.
This is the first comprehensive study that focusses on the correlation between the bacterial community composition and a range of previously identified selective criteria in activated sludge wastewater treatment plants on the African continent. Multivariate statistical analyses were used to determine the relative significance of the geographical location (factor: site), wastewater treatment plant process (factor: configuration), seasonality (factor: season), and environmental parameters on the bacterial communities in nine wastewater treatments plants from two sites in South Africa using terminal restriction fragment length polymorphism as a screening tool to rationalize the number of samples (to 50 samples) for high throughput (Illumina MiSeq) sequencing. Site was the most significant factor (Global ANOSIM R value = 0.91, p = 0.001), and it was established that the inter-site differences were not climatic in origin but related to differences in the composition of the influent and activated sludge. Previous studies that have reported associations between microbial community structure and environmental parameters have measured influent chemistry, and this is the first time, to our knowledge, that the comprehensive chemical character of activated sludge itself has been included in this type of study. It was found using BEST analysis that the activated sludge ammonia, activated sludge total phosphate and influent chemical oxygen demand were the most significant (p < 0.001) drivers for inter-site bacterial community selection (ANOSIM Global R values of 0.862, 0.782 and 0.428, respectively). This link would not have been established with only influent chemical analyses as there was no significant difference (t-test, p > 0.05) in the average influent phosphate concentrations between the 2 sites, but there was a highly significant difference (p < 0.001, t (15.5)>t-crit (2.01)) in the activated sludge total phosphate concentrations (20.8 ± 17.0 and 127.8 ± 40.2 mg/L). This is notable for all future studies on a global level aimed at identifying factors for selection of microbial communities in activated sludge.
这是第一项针对非洲大陆活性污泥废水处理厂中细菌群落组成与先前确定的一系列选择标准之间相关性的综合研究。使用多元统计分析来确定地理位置(因子:地点)、废水处理厂工艺(因子:配置)、季节性(因子:季节)和环境参数对来自南非两个地点的九个废水处理厂的细菌群落的相对重要性,使用末端限制性片段长度多态性(T-RFLP)作为筛选工具,将样品数量合理化(至 50 个样品),以便进行高通量(Illumina MiSeq)测序。地点是最重要的因素(全局 ANOSIM R 值= 0.91,p = 0.001),结果表明,站点之间的差异不是由气候引起的,而是与进水和活性污泥的组成差异有关。以前的研究报告了微生物群落结构与环境参数之间的关联,这些研究都测量了进水化学性质,而这是第一次,据我们所知,将活性污泥本身的综合化学性质包含在这种类型的研究中。通过 BEST 分析发现,活性污泥氨、活性污泥总磷和进水化学需氧量是站点间细菌群落选择的最显著(p < 0.001)驱动因素(ANOSIM 全局 R 值分别为 0.862、0.782 和 0.428)。如果仅进行进水化学分析,就不会建立这种联系,因为两个站点之间的平均进水磷酸盐浓度没有显著差异(t 检验,p > 0.05),但活性污泥总磷浓度有非常显著的差异(p < 0.001,t (15.5)>t-crit (2.01))(20.8 ± 17.0 和 127.8 ± 40.2 mg/L)。这对于未来所有旨在确定活性污泥中微生物群落选择因素的全球研究都具有重要意义。