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盐刺激硫化物驱动的自养反硝化:微生物网络和宏基因组学分析。

Salt stimulates sulfide-driven autotrophic denitrification: Microbial network and metagenomics analyses.

机构信息

State Key Laboratory of Pollution Control and Resources Reuse, Shanghai Institute of Pollution Control and Ecological Security, College of Environmental Science and Engineering, Tongji University, Siping Road, Shanghai 200092, PR China.

State Key Laboratory of Pollution Control and Resources Reuse, Shanghai Institute of Pollution Control and Ecological Security, College of Environmental Science and Engineering, Tongji University, Siping Road, Shanghai 200092, PR China.

出版信息

Water Res. 2024 Jun 15;257:121742. doi: 10.1016/j.watres.2024.121742. Epub 2024 May 7.

Abstract

Sulfur autotrophic denitrification (SADN) is a promising biological wastewater treatment technology for nitrogen removal, and its performance highly relies on the collective activities of the microbial community. However, the effect of salt (a prevailing characteristic of some nitrogen-containing industrial wastewaters) on the microbial community of SADN is still unclear. In this study, the response of the sulfide-SADN process to different salinities (i.e., 1.5 % salinity, 0.5 % salinity, and without salinity) as well as the involved microbial mechanisms were investigated by molecular ecological network and metagenomics analyses. Results showed that the satisfactory nitrogen removal efficiency (>97 %) was achieved in the sulfide-SADN process (S/N molar ratio of 0.88) with 1.5 % salinity. In salinity scenarios, the genus Thiobacillus significantly proliferated and was detected as the dominant sulfur-oxidizing bacteria in the sulfide-SADN system, occupying a relative abundance of 29.4 %. Network analysis further elucidated that 1.5 % salinity had enabled the microbial community to form a more densely clustered network, which intensified the interactions between microorganisms and effectively improved the nitrogen removal performance of the sulfide-SADN. Metagenomics sequencing revealed that the abundance of functional genes encoding for key enzymes involved in SADN, dissimilatory nitrate reduction to ammonium, and nitrification was up-regulated in the 1.5 % salinity scenario compared to that without salinity, stimulating the occurrence of multiple nitrogen transformation pathways. These multi-paths contributed to a robust SADN process (i.e., nitrogen removal efficiency >97 %, effluent nitrogen <2.5 mg N/L). This study deepens our understanding of the effect of salt on the SADN system at the community and functional level, and favors to advance the application of this sustainable bioprocess in saline wastewater treatment.

摘要

硫自养反硝化(SADN)是一种很有前途的生物脱氮废水处理技术,其性能高度依赖于微生物群落的集体活动。然而,盐(一些含氮工业废水的普遍特征)对 SADN 微生物群落的影响尚不清楚。本研究通过分子生态网络和宏基因组学分析,考察了不同盐度(即 1.5%盐度、0.5%盐度和无盐度)对 SADN 过程的影响及相关微生物机制。结果表明,在 1.5%盐度下(S/N 摩尔比为 0.88),SADN 过程(>97%的氮去除效率)取得了令人满意的效果。在盐度条件下,硫杆菌属显著增殖,并被检测为 SADN 系统中的优势硫氧化菌,相对丰度为 29.4%。网络分析进一步表明,1.5%盐度使微生物群落形成了更密集的网络,加强了微生物之间的相互作用,有效提高了 SADN 的氮去除性能。宏基因组测序揭示,与无盐度相比,1.5%盐度条件下参与 SADN、异化硝酸盐还原为铵和硝化作用的关键酶的功能基因丰度上调,刺激了多种氮转化途径的发生。这些多途径有助于实现强大的 SADN 过程(即氮去除效率>97%,出水氮<2.5mgN/L)。本研究加深了我们对盐度对 SADN 系统在群落和功能水平上影响的理解,有利于推进该可持续生物过程在含盐废水处理中的应用。

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