Department of Civil & Environmental Engineering, University of Macau, Macau, China.
School of Environmental Science and Engineering, Huazhong University of Science and Technology (HUST), Key Laboratory of Water and Wastewater Treatment (HUST), MOHURD, Wuhan, 430074, China.
Environ Res. 2022 Sep;212(Pt C):113373. doi: 10.1016/j.envres.2022.113373. Epub 2022 May 5.
Denitrifying sulfur conversion-assisted enhanced biological phosphorus removal (DS-EBPR) was recently developed for saline wastewater treatment. However, the main functional bacteria and the interrelationship of functional bacteria of the DS-EBPR have not been defined and identified so far. This study used metagenomics and multivariate statistics to deduce the functional microbial community and distribution of functional genes associated with the critical metabolic pathways of carbon (C), nitrogen (N), phosphorus (P) and sulfur (S), particularly regarding how they would behave under the alternating anaerobic-anoxic conditions inside a long-term DS-EBPR system. An analysis of the metagenomics and metabolic functions identified 11 major microbial species which were classifiable into four groups: sulfate reducing bacteria (SRB, 0.8-2.2%), sulfur oxidizing bacteria (SOB, 31.9-37.7%), denitrifying phosphate accumulating organisms (DPAOs, 10.0-15.8%) and glycogen accumulating organisms (GAOs, 3.7-7.7%). The four groups of microorganisms performed their respective metabolisms synergistically. In terms of distribution of functional genes, SRB (Desulfococcus and Desulfobacter) and SOB (Chromatiaceae and Thiobacillus) are not only encoded by the related sulfur conversion genes (sqr, dsrAB, aprAB and sat), but also encoded by the necessary ppx and ppk1 gene for P removal that they can be considered as the potential S-related PAOs. Between the anaerobic and anoxic conditions, the metagenome-based microbial community remained structurally similar, but the functional genes, which encode various key enzymes for the P, N, and S pathways, changed in abundance. This study contributes to our understanding on the interactions and competition between the SRB, SOB, DPAOs, and GAOs in a DS-EBPR system.
反硝化硫转化辅助强化生物除磷(DS-EBPR)最近被开发用于处理含盐废水。然而,到目前为止,DS-EBPR 的主要功能细菌及其功能细菌之间的相互关系尚未确定和识别。本研究使用宏基因组学和多元统计推断与碳(C)、氮(N)、磷(P)和硫(S)关键代谢途径相关的功能微生物群落和功能基因的分布,特别是在长期 DS-EBPR 系统内部交替的厌氧-缺氧条件下它们将如何表现。宏基因组学和代谢功能分析鉴定了 11 种主要微生物物种,它们可分为四类:硫酸盐还原菌(SRB,0.8-2.2%)、硫氧化菌(SOB,31.9-37.7%)、反硝化除磷菌(DPAOs,10.0-15.8%)和糖原积累菌(GAOs,3.7-7.7%)。这四组微生物协同进行各自的代谢。就功能基因的分布而言,SRB(脱硫球菌和脱硫杆菌)和 SOB(着色菌科和硫杆菌)不仅由相关的硫转化基因(sqr、dsrAB、aprAB 和 sat)编码,而且还由去除 P 所必需的 ppx 和 ppk1 基因编码,因此它们可以被视为潜在的 S 相关 PAOs。在厌氧和缺氧条件之间,基于宏基因组的微生物群落在结构上保持相似,但编码 P、N 和 S 途径各种关键酶的功能基因在丰度上发生了变化。本研究有助于我们理解 DS-EBPR 系统中 SRB、SOB、DPAOs 和 GAOs 之间的相互作用和竞争。