Selective genes expression and metabolites transformation drive a robust nitrite accumulation during nitrate reduction under alternating feast-famine condition

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Duanyuan Xu , Rui Du , Shouyou Gao , Shenbin Cao , Yongzhen Peng
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Abstract

Nitrite production via denitrification has been regarded as a key approach for survival of anaerobic ammonium oxidation (anammox) bacteria. Despite the important carbon substrate, little is known about the role of differential genes expression and extracellular metabolite regulation among diverse microbial communities. In this study, a novel alternating feast-famine strategy was proposed and demonstrated to efficiently accumulate nitrite in a low-nitrogen loading rate (NLR) (0.2∼0.8 kg N/m3/d) denitrification system. Highly selective expression of denitrifying genes was revealed as key regulators. Interestingly, in absence of carbon source (ACS) condition, the expression of narG and narI/V genes responsible for reduction of nitrate to nitrite jumped to 2.5 and 5.1 times higher than that in presence of carbon source (PCS) condition with carbon to nitrate ratio of 3.0. This fortunately facilitated a rapid nitrite accumulation once acetate was added, despite a significantly down-regulated narG and narI/narV and up-regulated nirS/nirK. This strategy selected Thauera as the most dominant denitrifier (50.2 %) with the highest contribution to narG and narI/narV genes, responsible for the high nitrite accumulation. Additionally, extracellular xylose, pyruvate, and glucose jointly promoted carbon-central metabolic pathway of key denitrifiers in ACS stage, playing an important role in the process of self-growth and selective enrichment of functional bacteria. The relatively rapid establishment and robust performance obtained in this study shows an engineering-feasible and economically-favorable solution for the regulation of partial denitrification in practical application.

Abstract Image

盛宴-饥饿交替条件下硝酸盐还原过程中,选择性基因表达和代谢物转化推动了亚硝酸盐的大量积累
亚硝酸盐生成反硝化作用一直被认为是厌氧氨氧化(anammox)细菌生存的关键方法。尽管亚硝酸盐是重要的碳底物,但人们对不同微生物群落中不同基因表达和胞外代谢物调控的作用知之甚少。本研究提出并证明了一种新颖的 "盛宴-饥饿 "交替策略,可在低氮负荷率(NLR)(0.2∼0.8 kg N/m/d)反硝化系统中有效积累亚硝酸盐。研究发现,反硝化基因的高选择性表达是关键的调节因子。有趣的是,在无碳源(ACS)条件下,负责将硝酸盐还原为亚硝酸盐的基因和基因的表达量分别跃升至有碳源(PCS)条件下(碳硝比为 3.0)的 2.5 倍和 5.1 倍。这种策略选择了最主要的反硝化物(50.2%),其中对和基因的贡献最大,这些基因对亚硝酸盐的高积累负有责任。此外,细胞外木糖、丙酮酸和葡萄糖共同促进了 ACS 阶段关键反硝化细菌的碳中心代谢途径,在功能菌的自我生长和选择性富集过程中发挥了重要作用。本研究中获得的相对快速的建立和稳健的性能表明,在实际应用中,部分反硝化的调控是一种工程上可行、经济上有利的解决方案。
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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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