Tetrasphaera富集的强化生物除磷微生物组的时间动态和效能关联

王慧, 王玉波, 张国庆, 赵泽, 鞠峰

工程(英文) ›› 2023, Vol. 29 ›› Issue (10) : 168-178.

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工程(英文) ›› 2023, Vol. 29 ›› Issue (10) : 168-178. DOI: 10.1016/j.eng.2022.10.016
研究论文
Article

Tetrasphaera富集的强化生物除磷微生物组的时间动态和效能关联

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Temporal Dynamics and Performance Association of the Tetrasphaera-Enriched Microbiome for Enhanced Biological Phosphorus Removal

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Highlight

• A novel putative Tetrasphaera PAOs species (EBPR-ASV0001) was enriched.

• Short-term bio-stimulation with 1 mg⋅L-1 allylthiourea promoted Tetrasphaera-enriched microbiome establishment.

Microlunatus participated the Tetrasphaera-enriched microbiome establishment and function.

Tetrasphaera-enriched microbiome showed high potential in P resource recovery.

摘要

基于16S rRNA扩增子测序技术对全球污水处理厂(WWTP)强化生物除磷(EBPR)工艺中微生物群落的研究表明Tetrasphaera是丰度最高的聚磷菌(PAOs)。然而,目前对于Tetrasphaera 如何在 EBPR 中进行选择性富集尚不清楚。本文通过“自上而下”的方法利用复合碳源和低浓度烯丙基硫脲构建了Tetrasphaera富集的EBPR微生物组,其16S序列的丰度在第 113 天可达 40%。Tetrasphaera富集的微生物组具有高的营养物去除效率,可以实现约85% 的磷(P)去除和约80%的氮(N)去除,其污泥灰分中的P回收率相较于普通污水处理厂活性污泥提高了 23.2 倍。研究表明,添加1 mg·L−1 烯丙基硫脲同时促进了 Tetrasphaera PAOs 和 Microlunatus PAOs 的增加,并且显着降低了氨氧细菌Nitrosomonas和PAOs的潜在竞争者 BrevundimonasParacoccus 的相对丰度,促进了 EBPR 微生物组的建立。16S rRNA 基因分析表明,体系中的EBPR-ASV0001与 Tetrasphaera japonica 的亲缘关系最为相近,其可能代表了一种新的PAOs。本研究为通过烯丙基硫脲促进Tetrasphaera富集的微生物组建立提供了新的认知,或可用于指导未来污水处理系统工艺的升级和优化,从而帮助实现高浓度废水的同步脱氮除磷。

Abstract

Tetrasphaera have been recently identified based on the 16S ribosomal RNA (rRNA) gene as among the most abundant polyphosphate-accumulating organisms (PAOs) in global full-scale wastewater treatment plants (WWTPs) with enhanced biological phosphorus removal (EBPR). However, it is unclear how Tetrasphaera PAOs are selectively enriched in the context of the EBPR microbiome. In this study, an EBPR microbiome enriched with Tetrasphaera (accounting for 40% of 16S sequences on day 113) was built using a top-down design approach featuring multicarbon sources and a low dosage of allylthiourea. The microbiome showed enhanced nutrient removal (phosphorus removal ∼85% and nitrogen removal ∼80%) and increased phosphorus recovery (up to 23.2 times) compared with the seeding activated sludge from a local full-scale WWTP. The supply of 1 mg·L−1 allylthiourea promoted the coselection of Tetrasphaera PAOs and Microlunatus PAOs and sharply reduced the relative abundance of both ammonia oxidizer Nitrosomonas and putative competitors Brevundimonas and Paracoccus, facilitating the establishment of the EBPR microbiome. Based on 16S rRNA gene analysis, a putative novel PAO species, EBPR-ASV0001, was identified with Tetrasphaera japonica as its closest relative. This study provides new knowledge on the establishment of a Tetrasphaera-enriched microbiome facilitated by allylthiourea, which can be further exploited to guide future process upgrading and optimization to achieve and/or enhance simultaneous biological phosphorus and nitrogen removal from high-strength wastewater.

关键词

强化生物除磷(EBPR) / 聚磷微生物 (PAOs) / Tetrasphaera / 微生物组 / 磷回收

Keywords

Enhanced biological phosphorus removal (EBPR) / Polyphosphate-accumulating organisms (PAOs) / Tetrasphaera / Microbiome / Phosphorus recovery

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王慧, 王玉波, 张国庆. Tetrasphaera富集的强化生物除磷微生物组的时间动态和效能关联. Engineering. 2023, 29(10): 168-178 https://doi.org/10.1016/j.eng.2022.10.016

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This work was supported by the Key Research and Development Program of Zhejiang (2022C03075), National Natural Science Foundation of China (22241603), and Zhejiang Provincial Natural Science Foundation of China (LR22D010001). We would like to thank Dr. Xiao Yang and Dr. Xiangyu Yang for the helpful discussion and technical advice. The author would like to thank Yisong Xu for her professional support in equipment procurement and lab management. We thank the Microscopy Core Facility of Westlake University for the facility support and thank technician Fang Xiao for technical assistance. We thank the Research Center for Industries of the Future (RCIF), the Instrumentation and Service Center for Molecular Sciences and Physical Sciences, and The Westlake University-Muyuan Group Joint Research Institute at Westlake University for support. We thank the Westlake University High-Performance Computing Center for computation support.

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