Metabolic and ecological responses of denitrifying consortia to different carbon source strategies under fluctuating C/N conditions

IF 7.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Research Pub Date : 2025-06-01 Epub Date: 2025-03-04 DOI:10.1016/j.envres.2025.121292
Rui-Zhe Sun , Yuan Pan , Jun Wang , Tong Gao , Han-Qing Yu , Jin Wang
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Abstract

Frequent fluctuations in the carbon-to-nitrogen (C/N) ratio of urban wastewater influent can undermine denitrification performance, posing challenges for stable nitrogen removal. Although supplying additional carbon sources is a recognized strategy to mitigate these issues, the underlying microbial interactions and metabolic reconfigurations triggered by changing C/N ratios remain incompletely understood. Here, we employed methanol, glycerol, sodium acetate, and glucose in long-term denitrification reactors and integrated denitrification kinetics, 16S rRNA gene amplicon sequencing, metagenomic binning, and metabolic modeling to elucidate how these systems respond to a declining C/N ratio. Our results show that lower C/N ratios diminished denitrification efficiency in all treatments, with each carbon source eliciting distinct shifts in microbial assemblages. Fluctuations in the C/N ratio determine the extent of directional selection of microbial communities based on carbon source metabolism and induce significant changes in non-dominant microorganisms. Throughout the process, the synthesis potential of PHA is closely linked to the system's ability to withstand fluctuations. Notably, metabolic modeling indicated that heightened tricarboxylic acid (TCA) cycle activity in the methanol- and glucose-fed communities was associated with suboptimal nitrogen removal. These findings offer novel insights into the metabolic and ecological mechanisms governing carbon source–driven denitrification under fluctuating C/N conditions, providing a valuable framework for optimizing nitrogen removal in urban wastewater treatment systems.

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碳氮比波动条件下反硝化菌群对不同碳源策略的代谢和生态响应
城市污水中碳氮比(C/N)的频繁波动会破坏反硝化性能,给稳定脱氮带来挑战。虽然提供额外的碳源是一种公认的缓解这些问题的策略,但潜在的微生物相互作用和由碳氮比变化引发的代谢重组仍然不完全清楚。在这里,我们使用甲醇、甘油、乙酸钠和葡萄糖在长期反硝化反应器中,并集成反硝化动力学、16S rRNA基因扩增子测序、宏基因组分类和代谢模型,以阐明这些系统如何响应下降的C/N比。我们的研究结果表明,较低的碳氮比降低了所有处理的反硝化效率,每种碳源都会引起微生物组合的不同变化。碳氮比的波动决定了微生物群落基于碳源代谢的定向选择程度,并引起非优势微生物的显著变化。在整个过程中,PHA的合成潜力与系统承受波动的能力密切相关。值得注意的是,代谢模型表明,在甲醇和葡萄糖喂养的群落中,三羧酸(TCA)循环活性的提高与氮去除不理想有关。这些发现为波动C/N条件下碳源驱动反硝化的代谢和生态机制提供了新的见解,为优化城市污水处理系统的脱氮提供了有价值的框架。
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来源期刊
Environmental Research
Environmental Research 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
12.60
自引率
8.40%
发文量
2480
审稿时长
4.7 months
期刊介绍: The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.
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