Microbial regulatory mechanisms underlying methane emission in rivers with different land covers

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-08-01 Epub Date: 2025-04-19 DOI:10.1016/j.watres.2025.123680
Yuan Xin , Qun Gao , Sibo Zhang , Zhuangzhuang Zhang , Junfeng Wang , Xinghui Xia
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Abstract

Inland rivers play a crucial role in regulating the methane (CH4) budget via microbial carbon cycling. CH4 emissions vary significantly among rivers with different land covers, yet the regulatory mechanisms of CH4-cycling microorganisms across different land covers remain less understood. This study intergrates in-situ CH4 measurements with amplicon and metagenomic sequencing to investigate CH4-cycling microbial community composition and metabolic functions in regulating CH4 emissions across rivers with different land covers. Our results show that agricultural and urban rivers significantly increase riverine CH4 emission fluxes by 14 and 34 times than forest rivers, respectively. Urban and agricultural river sediments exhibited higher methanogenic abundance, but lower methanotrophic abundance than forest river sediments. Acetoclastic methanogens dominate the methanogenic communities of agricultural rivers, enhanced by high NO3 and DOC concentrations. Furthermore, methanogenic metagenome-assembled genomes (MAGs) recovered from agricultural rivers, which affiliated to Methanosarcina, carried the complete set of genes encoding for the enzymes in acetoclastic methanogenesis. In contrast, hydrogenotrophic methanogens drive CH4 production in urban rivers, favored by low DOC: NH4+ ratios that enable methanogenesis independent of organic carbon. Lower CH4 emissions in agricultural rivers compared to urban rivers might be partly due to the greater sulfate-dependent anaerobic methane-oxidation. In forest rivers, type I methanotrophs outcompetes methanogens, aided by suitable sediment pH and larger sediment particle sizes, fostering oxic conditions that suppress CH4 emissions. This study reveals versatile microbial mechanisms underlying riverine CH4 emissions across land covers, enhancing understanding of microbial-mediated riverine CH4 cycling.

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不同土地覆盖下河流甲烷排放的微生物调控机制
内陆河通过微生物碳循环在调节甲烷(CH4)收支中起着至关重要的作用。不同土地覆盖下河流CH4排放差异显著,但不同土地覆盖下CH4循环微生物的调控机制尚不清楚。本研究将CH4原位测量与扩增子和宏基因组测序相结合,研究不同土地覆盖河流中CH4循环微生物群落组成和代谢功能对CH4排放的调节作用。结果表明,农业河流和城市河流的CH4排放通量分别是森林河流的14倍和34倍。城市和农业河流沉积物的产甲烷丰度高于森林河流沉积物,而产甲烷丰度低于森林河流沉积物。农业河流的产甲烷菌群落以醋酸型产甲烷菌为主,高浓度的NO3−和DOC对产甲烷菌的作用增强。此外,从隶属于甲烷菌的农业河流中回收的产甲烷宏基因组组装基因组(MAGs)携带了一套完整的编码醋酸制甲烷酶的基因。相比之下,氢化产甲烷菌驱动城市河流中CH4的产生,低DOC: NH4⁺的比例更有利于甲烷生成,使甲烷生成不依赖于有机碳。与城市河流相比,农业河流的CH4排放量较低,部分原因可能是依赖硫酸盐的厌氧甲烷氧化更大。在森林河流中,在合适的沉积物pH值和较大的沉积物粒径的帮助下,I型甲烷氧化菌胜过产甲烷菌,形成了抑制CH4排放的氧条件。本研究揭示了陆地覆盖下河流CH4排放的多种微生物机制,增强了对微生物介导的河流CH4循环的理解。
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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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