In situ addition of layered double hydroxides promotes sulfate-dependent anaerobic methane oxidation and microbial community shifts in freshwater-influenced mangroves sediments

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Jijuan Ding, Fei Liu, Jing Huang, Ping Li, Junmao Zhang, Bo Wu, Longfei Shu, Zhili He, Cheng Wang
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Abstract

Freshwater-influenced mangrove wetlands are significant sources of methane emissions, potentially offsetting up to 27 % of their carbon storage. The targeted reduction of these emissions offers a critical avenue for enhancing climate resilience. While laboratory studies have shown that elevated sulfate concentrations can suppress methane emissions, the in situ-based effects on methane cycling and associated microbial communities remain poorly understood. To explore this, we introduced magnesium-aluminum layered double hydroxides (Mg-Al-SO4-LDH), a slow-release sulfate mineral, into freshwater-influenced mangrove sediments in Guangzhou, China, over a 74-day period, resulting in sulfate levels that were 8.9 times higher than those of the control. Isotope tracing, full-length 16S rDNA sequencing, and metagenomic analysis revealed that this sulfate augmentation significantly altered the methane cycling and functional microbial communities. Notably, we observed substantial stimulation of sulfate reduction coupled with anaerobic oxidation of methane (SR-AOM) within Mg-Al-SO4-LDH-attached microbial communities, characterized by a 6.9-fold increase of anaerobic methane-oxidizing archaea (ANME-1b subtype). Contrary to laboratory observations, the elevated sulfate conditions selectively promoted hydrogenotrophic methanogenesis in situ. These findings establish Mg-Al-SO4-LDH as a promising approach for enhancing SR-AOM activity while modulating methanogenic pathways, offering novel perspectives for methane management strategies and climate change mitigation within mangrove ecosystems.

Abstract Image

在受淡水影响的红树林沉积物中,原位添加层状双氢氧化物促进硫酸盐依赖的厌氧甲烷氧化和微生物群落转移
受淡水影响的红树林湿地是甲烷排放的重要来源,可能抵消高达27%的碳储量。有针对性地减少这些排放为增强气候适应能力提供了一条关键途径。虽然实验室研究表明,硫酸盐浓度升高可以抑制甲烷排放,但对甲烷循环和相关微生物群落的影响仍知之甚少。为了探究这一点,我们将镁铝层状双氢氧化物(Mg-Al-SO4-LDH),一种缓释硫酸盐矿物,引入中国广州受淡水影响的红树林沉积物中,为期74天,导致硫酸盐水平比对照高8.9倍。同位素示踪、16S rDNA全长测序和宏基因组分析显示,硫酸盐的增加显著改变了甲烷循环和功能微生物群落。值得注意的是,我们在mg - al - so4 - ldh附着的微生物群落中观察到硫酸盐还原和甲烷厌氧氧化(SR-AOM)的大量刺激,其特征是厌氧甲烷氧化古菌(ANME-1b亚型)增加了6.9倍。与实验室观察相反,升高的硫酸盐条件选择性地促进了原位氢营养化甲烷生成。这些发现表明Mg-Al-SO4-LDH是一种很有前途的方法,可以增强SR-AOM活性,同时调节甲烷生成途径,为红树林生态系统内的甲烷管理策略和气候变化缓解提供新的视角。
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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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