1
|
An Z, Chen F, Zheng Y, Zhou J, Liu B, Qi L, Lin Z, Yao C, Wang B, Wang Y, Li X, Yin G, Dong H, Liang X, Liu M, Hou L. Role of n-DAMO in Mitigating Methane Emissions from Intertidal Wetlands Is Regulated by Saltmarsh Vegetations. Environ Sci Technol 2024; 58:1152-1163. [PMID: 38166438 DOI: 10.1021/acs.est.3c07882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Coastal wetlands are hotspots for methane (CH4) production, reducing their potential for global warming mitigation. Nitrite/nitrate-dependent anaerobic methane oxidation (n-DAMO) plays a crucial role in bridging carbon and nitrogen cycles, contributing significantly to CH4 consumption. However, the role of n-DAMO in reducing CH4 emissions in coastal wetlands is poorly understood. Here, the ecological functions of the n-DAMO process in different saltmarsh vegetation habitats as well as bare mudflats were quantified, and the underlying microbial mechanisms were explored. Results showed that n-DAMO rates were significantly higher in vegetated habitats (Scirpus mariqueter and Spartina alterniflora) than those in bare mudflats (P < 0.05), leading to an enhanced contribution to CH4 consumption. Compared with other habitats, the contribution of n-DAMO to the total anaerobic CH4 oxidation was significantly lower in the Phragmites australis wetland (15.0%), where the anaerobic CH4 oxidation was primarily driven by ferric iron (Fe3+). Genetic and statistical analyses suggested that the different roles of n-DAMO in various saltmarsh wetlands may be related to divergent n-DAMO microbial communities as well as environmental parameters such as sediment pH and total organic carbon. This study provides an important scientific basis for a more accurate estimation of the role of coastal wetlands in mitigating climate change.
Collapse
Affiliation(s)
- Zhirui An
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Feiyang Chen
- Research Center for Monitoring and Environmental Sciences, Taihu Basin & East China Sea Ecological Environment Supervision and Administration Authority, Ministry of Ecology and Environment, Shanghai 200125, China
| | - Yanling Zheng
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
- Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
| | - Jie Zhou
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Bolin Liu
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Lin Qi
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Zhuke Lin
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Cheng Yao
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Bin Wang
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Yixuan Wang
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Xiaofei Li
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Guoyu Yin
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
- Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
| | - Hongpo Dong
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Xia Liang
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| | - Min Liu
- School of Geographic Sciences, East China Normal University, Shanghai 200241, China
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
- Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China
| | - Lijun Hou
- State Key Laboratory of Estuarine and Coastal Research, Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai, East China Normal University, Shanghai 200241, China
| |
Collapse
|
2
|
Liu T, Hu S, Yuan Z, Guo J. Microbial Stratification Affects Conversions of Nitrogen and Methane in Biofilms Coupling Anammox and n-DAMO Processes. Environ Sci Technol 2023; 57:4608-4618. [PMID: 36826448 DOI: 10.1021/acs.est.2c07294] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
A methane-based membrane biofilm reactor (MBfR) has a suitable configuration to incorporate anammox and nitrite/nitrate-dependent anaerobic methane oxidation (n-DAMO) processes because of its high gas-transfer efficiency and efficient biomass retention. In this study, the spatial distribution of microorganisms along with the biofilm depth in methane-based MBfRs was experimentally revealed, showing the dominance of anammox bacteria, n-DAMO bacteria, and n-DAMO archaea in the outer layer, middle layer, and inner layer of biofilms, respectively. The long-term and short-term experimental investigations in conjunction with mathematical modeling collectively revealed that microorganisms living in the outer layer of biofilms tend to use substrates from wastewater, while microorganisms inhabiting the inner layer of biofilms tend to use substrates originating from biofilm substratum. Specifically, anammox bacteria dominating the biofilm surface preferentially removed the nitrite provided from wastewater, while n-DAMO bacteria mostly utilized the nitrite generated from n-DAMO archaea as these two methane-related populations spatially clustered together inside the biofilm. Likewise, the methane supplied from the membrane was mostly consumed by n-DAMO archaea, while the dissolved methane in wastewater would be primarily utilized by n-DAMO bacteria. This study offers novel insights into the impacts of microbial stratification in biofilm systems, not only expanding the fundamental understanding of biofilms and microbial interactions therein but also providing a rationale for the potential applications of methane-based MBfRs in sewage treatment.
Collapse
Affiliation(s)
- Tao Liu
- Australian Centre for Water and Environmental Biotechnology (ACWEB, Formerly AWMC), The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia
| | - Shihu Hu
- Australian Centre for Water and Environmental Biotechnology (ACWEB, Formerly AWMC), The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia
| | - Zhiguo Yuan
- Australian Centre for Water and Environmental Biotechnology (ACWEB, Formerly AWMC), The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia
| | - Jianhua Guo
- Australian Centre for Water and Environmental Biotechnology (ACWEB, Formerly AWMC), The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia
| |
Collapse
|