Colorado State University, Department of Civil and Environmental Engineering, USA.
Colorado State University, Proteomics and Metabolomics Facility, USA.
Water Res. 2017 Nov 15;125:227-236. doi: 10.1016/j.watres.2017.08.041. Epub 2017 Aug 21.
Limited knowledge of optimal microbial community composition for PPCP biotreatment, and of the microbial phylotypes that drive biotransformation within mixed microbial communities, has hindered the rational design and operation of effective and reliable biological PPCP treatment technologies. Herein, bacterial community composition was investigated as an isolated variable within batch biofilm reactors via comparison of PPCP removals for three distinct inocula. Inocula pre-acclimated to model PPCPs were derived from activated sludge (AS), ditch sediment historically-impacted by wastewater treatment plant effluent (Sd), and material from laboratory-scale soil aquifer treatment (SAT) columns. PPCP removals were found to be substantially higher for AS- and Sd-derived inocula compared to the SAT-derived inocula despite comparable biomass. Removal patterns differed among the 6 model compounds examined (diclofenac, 5-fluorouracil, gabapentin, gemfibrozil, ibuprofen, and triclosan) indicating differences in biotransformation mechanisms. Sphingomonas, Beijerinckia, Methylophilus, and unknown Cytophagaceae were linked with successful PPCP biodegradation via next-generation sequencing of 16S rRNA genes over time. Results indicate the criticality of applying engineering approaches to control bacterial community compositions in biotreatment systems.
由于对 PPCP 生物处理的最佳微生物群落组成以及驱动混合微生物群落中生物转化的微生物类群了解有限，这阻碍了有效和可靠的生物 PPCP 处理技术的合理设计和运行。在此，通过比较三种不同接种物的 PPCP 去除率，将细菌群落组成作为批式生物膜反应器中的一个孤立变量进行了研究。预先适应模型 PPCP 的接种物来自活性污泥（AS）、历史上受污水处理厂出水影响的沟渠沉积物（Sd）和实验室规模土壤-含水层处理（SAT）柱的材料。尽管生物量相当，但与 SAT 衍生接种物相比，AS 和 Sd 衍生接种物的 PPCP 去除率要高得多。在考察的 6 种模型化合物（双氯芬酸、5-氟尿嘧啶、加巴喷丁、吉非贝齐、布洛芬和三氯生）中，去除模式存在差异，表明生物转化机制存在差异。通过随时间推移对 16S rRNA 基因进行下一代测序，发现鞘氨醇单胞菌、拜叶林克氏菌、甲基杆菌和未知的噬细胞菌科与 PPCP 的生物降解密切相关。结果表明，在生物处理系统中应用工程方法控制细菌群落组成的重要性。
