Enrichment of comammox Nitrospira from three different seed sludges with addition of signaling molecules

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Peng Tang, Jun Li, Jing Zhang, Yuhan Zhu, Zhaoming Zheng, Xin Zhang, Peng Gao, Tao Liu, Jianhua Guo
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引用次数: 0

Abstract

Complete ammonia oxidation (comammox) bacteria have been detected in full-scale wastewater treatment plants. However, the slow growth rate limits the research and applications of comammox. Quorum sensing (QS) is an intercellular communication process to regulate microbial physiological metabolism, but its role in comammox Nitrospira has rarely been reported. In this study, denitrifying filter backwash, return and anoxic tank sludges were utilized as seeding inoculums to enrich comammox bacteria, with the addition of three types of signaling molecules (C6-HSL, C8-HSL and C12-HSL). Under ammonia- and dissolved oxygen (DO)-limited conditions, 12 lab-scale sequencing batch reactors (SBRs) were operated for 90 days. Quantitative polymerase chain reaction (qPCR) and 16S rRNA gene sequencing supported the enrichment of comammox Nitrospira in all SBRs. The highest absolute abundance of comammox Nitrospira amoA gene was detected in the anoxic tank sludge with exogenously added C8-HSL, reaching an average of 2.34×106 copies/(g sludge). In this condition, comammox Nitrospira and ammonia-oxidizing archaea contributed up to 94% of the total nitrification activity, with ammonia-oxidizing bacteria accounting for only 6%. Overall, the role of QS in comammox Nitrospira enrichment was confirmed, with signaling molecules significantly accelerating the growth of comammox Nitrospira, promoting functional enzyme activity, and strengthening nitrifying bacterial competitiveness. Among the signaling molecules tested, C8-HSL exhibited the most pronounced promotional effect, followed by C6-HSL and C12-HSL. Using anoxic tank sludge as the seed sludge with the addition of C8-HSL provides a rapid and reliable enrichment strategy for comammox Nitrospira. These findings offer insights into the role of QS in comammox bacteria enrichment, and might facilitate the development of biotechnologies for wastewater treatment based on comammox Nitrospira.

Abstract Image

通过添加信号分子从三种不同的种子淤泥中富集兼氧硝化菌
在大型污水处理厂中已经发现了完全氨氧化(comammox)细菌。然而,缓慢的生长速度限制了 comammox 的研究和应用。法定量感应(QS)是一种调节微生物生理代谢的细胞间通讯过程,但其在硝化氧化菌中的作用却鲜有报道。在本研究中,利用反硝化过滤器反冲洗污泥、回流污泥和缺氧池污泥作为播种接种物,添加三种信号分子(C6-HSL、C8-HSL 和 C12-HSL)来富集兼氧细菌。在氨和溶解氧(DO)受限的条件下,12 个实验室规模的序批式反应器(SBR)运行了 90 天。定量聚合酶链反应(qPCR)和 16S rRNA 基因测序证明,所有 SBR 中都富集了兼氧硝化螺菌。在外源添加了 C8-HSL 的缺氧池污泥中检测到的兼氧硝化螺菌 amoA 基因的绝对丰度最高,平均达到 2.34×106 个拷贝/(克污泥)。在这种条件下,复合氧化硝化弧菌和氨氧化古细菌贡献了总硝化活性的 94%,而氨氧化细菌仅占 6%。总体而言,QS 在富集 Comammox 硝螺菌中的作用得到了证实,信号分子显著加速了 Comammox 硝螺菌的生长,促进了功能酶的活性,增强了硝化细菌的竞争力。在测试的信号分子中,C8-HSL 的促进效果最明显,其次是 C6-HSL 和 C12-HSL。使用缺氧池污泥作为种子污泥并添加 C8-HSL 为硝化硝化菌提供了一种快速可靠的富集策略。这些发现有助于深入了解 QS 在富集兼氧细菌过程中的作用,并有助于开发基于兼氧硝化纤维菌的污水处理生物技术。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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