ZhiHe Environmental Science and Technology Co., Ltd., Zhengzhou, 450001, China.
College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China.
Environ Pollut. 2024 Nov 15;361:124789. doi: 10.1016/j.envpol.2024.124789. Epub 2024 Aug 23.
Enriched microbial communities and their metabolic function were investigated from the three wastewater treatment plants (WWTPs), which were CWWTP (coking wastewater), MWWTP1 (domestic wastewater), and MWWTP2 (mixed wastewater with domestic wastewater and effluent from various industrial WWTPs that contained the mentioned CWWTP). Pollutant types and concentrations differed among the three WWTPs and the reaction units in each WWTP. CWWTP had a higher TCN and phenol concentrations than the MWWTPs, however, in MWWTP2 no phenol was discovered but 0.72 mg/L TCN was found in its anaerobic unit. RDA results revealed that COD, TN, TP, TCN, NO-N, and phenol were the main factors influencing the microbial communities (P < 0.05). CPCoA confirmed the microbial community difference driven by pollutant types and concentrations (65.1% of variance, P = 0.006). They provided diverse growth environments and ecological niches for microorganisms, shaping unique bacterial community in each WWTP, as: Thiobacillus, Tepidiphilus, Soehngenia, Diaphorobacter in CWWTP; Saccharibacteria, Acidovorax, Flavobacterium, Gp4 in MWWTP1; and Mesorhizobium, Terrimicrobium, Shinella, Oscillochloris in MWWTP2. Group comparative was analyzed and indicated that these unique bacteria exhibited statistically significant difference (P < 0.01) among the WWTPs, and they were the biomarkers in each WWTP respectively. Co-occurrence and coexclusion patterns of bacteria revealed that the most of dominant bacteria in each WWTP were assigned to different modules respectively, and these microorganisms had a closer positive relationship in each module. Consistent with the functional profile prediction, xenobiotics biodegradation and metabolism were higher in CWWTP (3.86%) than other WWTPs. The distinct functional bacteria metabolized particular xenobiotics via oxidoreductases, isomerases, lyases, transferases, decarboxylase, hydroxylase, and hydrolase in each unit or WWTP. These results provided the evidences to support the idea that the pollutant types and concentration put selection stress on microorganisms in the activated sludge, shaping the distinct microbial community structure and function.
从三个污水处理厂(CWWTP、MWWTP1 和 MWWTP2)中研究了富微生物群落及其代谢功能,CWWTP 是焦化废水,MWWTP1 是生活污水,MWWTP2 是生活污水和各种工业污水处理厂(包括上述 CWWTP)的出水的混合废水。三个污水处理厂和每个污水处理厂的反应单元中的污染物类型和浓度都有所不同。CWWTP 的 TCN 和苯酚浓度高于 MWWTP,但在 MWWTP2 中未发现苯酚,但在其厌氧单元中发现了 0.72mg/L 的 TCN。RDA 结果表明,COD、TN、TP、TCN、NO-N 和苯酚是影响微生物群落的主要因素(P<0.05)。CPCoA 证实了由污染物类型和浓度驱动的微生物群落差异(65.1%的方差,P=0.006)。它们为微生物提供了多样化的生长环境和生态位,在每个污水处理厂形成了独特的细菌群落,如 CWWTP 中的硫杆菌属、嗜热菌属、Soehngenia 属、Diaphorobacter 属;MWWTP1 中的 Saccharibacteria 属、 Acidovorax 属、Flavobacterium 属、Gp4 属;MWWTP2 中的 Mesorhizobium 属、Terrimicrobium 属、Shinella 属、Oscillochloris 属。对菌群进行了组间比较分析,结果表明,这些独特的细菌在污水处理厂之间存在显著差异(P<0.01),并分别成为每个污水处理厂的生物标志物。细菌的共生和排斥模式表明,每个污水处理厂的大多数优势菌分别属于不同的模块,这些微生物在每个模块中具有更密切的正相关关系。与功能谱预测一致,CWWTP(3.86%)的异生物质生物降解和代谢能力高于其他污水处理厂。在每个单元或污水处理厂中,不同功能的细菌通过氧化还原酶、异构酶、裂解酶、转移酶、脱羧酶、羟化酶和水解酶来代谢特定的异生物质。这些结果为支持以下观点提供了证据,即污染物类型和浓度对活性污泥中的微生物施加选择压力,形成独特的微生物群落结构和功能。