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Tan W, Zhong Z, He Q, Yun X, Yang L, Wang X, Ji D, Wang G, Zhao J, Zhang X. Methane emission fluxes and associated microbial community characteristics in a temperate seagrass meadow. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 958:177991. [PMID: 39662403 DOI: 10.1016/j.scitotenv.2024.177991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2024] [Revised: 11/19/2024] [Accepted: 12/05/2024] [Indexed: 12/13/2024]
Abstract
Seagrass meadows are acknowledged as blue carbon ecosystems, yet they are also ideal habitats for methane (CH4) release, offsetting their ability to mitigate climate change. The global CH4 fluxes in seagrass meadows remain highly uncertain due to regional and species biases, and the microbial mechanisms driving methane release are poorly understood. Here, we investigated CH4 air-sea fluxes, sediment CH4 emission potential and microbes involved in CH4 release using geochemical techniques combined with qPCR and Illumina sequencing in a temperate Zostera japonica and Zostera marina mixed meadow. The CH4 air-sea fluxes fluctuated from -0.42 to 11.42 μmol·m-2·d-1, showing a strong seasonal variation. CH4 emission potential was significantly higher in seagrass vegetated sediments (10.34 ± 2.72 nmol·g-1·d-1) than in the adjacent bare sediments (1.55 ± 1.15 nmol·g-1·d-1), primarily attributed to variations in sediment organic matter content. Diverse methanogens occurred in the seagrass meadow, with Methanolobus dominating in seagrass sediments, while Methanococcoides, Methanosarcina, and Methanoculleus being prevalent in bare sediments. Meanwhile, a variety of methylotrophic groups were detected, including aerobic Gammaproteobacteria, anaerobic Desulfobacterota and Methylomirabilota, as well as archaea Candidatus Methanoperedens. The co-occurrence of these functional groups implied the presence of complex CH4 production and oxidation pathways, which regulated the CH4 budget in the seagrass ecosystems. Taken together, our findings enhance the comprehension of the methane emission process and driving mechanism in seagrass ecosystems.
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Affiliation(s)
- Wenwen Tan
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhihai Zhong
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qianling He
- School of Ocean, Yantai University, Yantai 264005, China
| | - Xin Yun
- Department of Bioengineering, School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China
| | - Lin Yang
- School of Ocean, Yantai University, Yantai 264005, China
| | - Xin Wang
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Daode Ji
- School of Ocean, Yantai University, Yantai 264005, China
| | - Guangyu Wang
- Department of Bioengineering, School of Marine Science and Technology, Harbin Institute of Technology, Weihai 264209, China
| | - Jianmin Zhao
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Xiaoli Zhang
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
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Handler ER, Andersen SDJ, Gradinger R, McGovern M, Vader A, Poste AE. Seasonality in land-ocean connectivity and local processes control sediment bacterial community structure and function in a High Arctic tidal flat. FEMS Microbiol Ecol 2024; 100:fiad162. [PMID: 38111220 PMCID: PMC10799726 DOI: 10.1093/femsec/fiad162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 10/26/2023] [Accepted: 12/14/2023] [Indexed: 12/20/2023] Open
Abstract
Climate change is altering patterns of precipitation, cryosphere thaw, and land-ocean influxes, affecting understudied Arctic estuarine tidal flats. These transitional zones between terrestrial and marine systems are hotspots for biogeochemical cycling, often driven by microbial processes. We investigated surface sediment bacterial community composition and function from May to September along a river-intertidal-subtidal-fjord gradient. We paired metabarcoding of in situ communities with in vitro carbon-source utilization assays. Bacterial communities differed in space and time, alongside varying environmental conditions driven by local seasonal processes and riverine inputs, with salinity emerging as the dominant structuring factor. Terrestrial and riverine taxa were found throughout the system, likely transported with runoff. In vitro assays revealed sediment bacteria utilized a broader range of organic matter substrates when incubated in fresh and brackish water compared to marine water. These results highlight the importance of salinity for ecosystem processes in these dynamic tidal flats, with the highest potential for utilization of terrestrially derived organic matter likely limited to tidal flat areas (and times) where sediments are permeated by freshwater. Our results demonstrate that intertidal flats must be included in future studies on impacts of increased riverine discharge and transport of terrestrial organic matter on coastal carbon cycling in a warming Arctic.
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Affiliation(s)
- Eleanor R Handler
- Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Framstredet 39, 9019 Tromsø, Norway
- Department of Arctic Biology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Norway
- Norwegian Institute for Water Research, Fram Centre for High North Research, Hjalmar Johansensgate 14, 9007 Tromsø, Norway
| | - Sebastian D J Andersen
- Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Framstredet 39, 9019 Tromsø, Norway
- Department of Arctic Biology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Norway
- Norwegian Institute for Water Research, Fram Centre for High North Research, Hjalmar Johansensgate 14, 9007 Tromsø, Norway
| | - Rolf Gradinger
- Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Framstredet 39, 9019 Tromsø, Norway
| | - Maeve McGovern
- Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Framstredet 39, 9019 Tromsø, Norway
- Norwegian Institute for Water Research, Fram Centre for High North Research, Hjalmar Johansensgate 14, 9007 Tromsø, Norway
| | - Anna Vader
- Department of Arctic Biology, The University Centre in Svalbard, P.O. Box 156, 9171 Longyearbyen, Norway
| | - Amanda E Poste
- Department of Arctic and Marine Biology, UiT – The Arctic University of Norway, Framstredet 39, 9019 Tromsø, Norway
- Norwegian Institute for Water Research, Fram Centre for High North Research, Hjalmar Johansensgate 14, 9007 Tromsø, Norway
- Norwegian Institute for Nature Research, Fram Centre for High North Research, Hjalmar Johansensgate 14, 9007 Tromsø, Norway
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Niu Y, An Z, Gao D, Chen F, Zhou J, Liu B, Qi L, Wu L, Lin Z, Yin G, Liang X, Dong H, Liu M, Hou L, Zheng Y. Tidal dynamics regulates potential coupling of carbon‑nitrogen‑sulfur cycling microbes in intertidal flats. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 899:165663. [PMID: 37474052 DOI: 10.1016/j.scitotenv.2023.165663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/17/2023] [Accepted: 07/17/2023] [Indexed: 07/22/2023]
Abstract
Tide-driven hydrodynamic process causes significant geochemical gradients that influence biogeochemical cycling and ecological functioning of estuarine and coastal ecosystems. However, the effects of tidal dynamics on microbial communities, particularly at the functional gene level, remain unclear even though microorganisms play critical roles in biogeochemical carbon (C), nitrogen (N) and sulfur (S) cycling. Here, we used 16S rRNA gene amplicon sequencing and microarray-based approach to reveal the stratification of microorganisms related to C, N and S cycles along vertical redox gradients in intertidal wetlands. Alpha-diversity of bacteria and archaea was generally higher at the deep groundwater-sediment interface. Microbial compositions were markedly altered along the sediment profile, and these shifts were largely due to changes in nutrient availability and redox potential. Furthermore, functional genes exhibited redox partitioning between interfaces and transition layer, with abundant genes involved in C decomposition, methanogenesis, heterotrophic denitrification, sulfite reduction and sulfide oxidation existed in the middle anoxic zone. The influence of tidal dynamics on sediment function was highly associated with redox state, sediment texture, and substrates availability, leading to distinct distribution pattern of metabolic coupling of microbes involved in energy flux and elemental cycling in intertidal wetlands. These results indicate that tidal cycles are critical in determining microbial community and functional structure, and they provide new insights into sediment microbe-mediated biogeochemical cycling in intertidal habitats.
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Affiliation(s)
- Yuhui Niu
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China; Shanghai Academy of Landscape Architecture Science and Planning, Shanghai 200232, China
| | - Zhirui An
- 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
| | - Dengzhou Gao
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Feiyang Chen
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Jie Zhou
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Bolin Liu
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Lin Qi
- 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
| | - Li Wu
- 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
| | - Zhuke Lin
- 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
| | - 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
| | - Xia Liang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Hongpo Dong
- State Key Laboratory of Estuarine and Coastal Research, 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
| | - Lijun Hou
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Yanling Zheng
- State Key Laboratory of Estuarine and Coastal Research, 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.
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Gong X, Liu X, Li Y, Ma K, Song W, Zhou J, Tu Q. Distinct Ecological Processes Mediate Domain-Level Differentiation in Microbial Spatial Scaling. Appl Environ Microbiol 2023; 89:e0209622. [PMID: 36815790 PMCID: PMC10056974 DOI: 10.1128/aem.02096-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 01/26/2023] [Indexed: 02/24/2023] Open
Abstract
The spatial scaling of biodiversity, such as the taxa-area relationship (TAR) and distance-decay relationship (DDR), is a typical ecological pattern that is followed by both microbes and macrobes in natural ecosystems. Previous studies focusing on microbes mainly aimed to address whether and how different types of microbial taxa differ in spatial scaling patterns, leaving the underlying mechanisms largely untouched. In this study, the spatial scaling of different microbial domains and their associated ecological processes in an intertidal zone were comparatively investigated. The significant spatial scaling of biodiversity could be observed across all microbial domains, including archaea, bacteria, fungi, and protists. Among them, archaea and fungi were found with much stronger DDR slopes than those observed in bacteria and protists. For both TAR and DDR, rare subcommunities were mainly responsible for the observed spatial scaling patterns, except for the DDR of protists and bacteria. This was also evidenced by extending the TAR and DDR diversity metrics to Hill numbers. Further statistical analyses demonstrated that different microbial domains were influenced by different environmental factors and harbored distinct local community assembly processes. Of these, drift was mainly responsible for the compositional variations of bacteria and protists. Archaea were shaped by strong homogeneous selection, whereas fungi were more affected by dispersal limitation. Such differing ecological processes resulted in the domain-level differentiation of microbial spatial scaling. This study links ecological processes with microbial spatial scaling and provides novel mechanistic insights into the diversity patterns of microbes that belong to different trophic levels. IMPORTANCE As the most diverse and numerous life form on Earth, microorganisms play indispensable roles in natural ecological processes. Revealing their diversity patterns across space and through time is of essential importance to better understand the underlying ecological mechanisms controlling the distribution and assembly of microbial communities. However, the diversity patterns and their underlying ecological mechanisms for different microbial domains and/or trophic levels require further exploration. In this study, the spatial scaling of different microbial domains and their associated ecological processes in a mudflat intertidal zone were investigated. The results showed different spatial scaling patterns for different microbial domains. Different ecological processes underlie the domain-level differentiation of microbial spatial scaling. This study links ecological processes with microbial spatial scaling to provide novel mechanistic insights into the diversity patterns of microorganisms that belong to different trophic levels.
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Affiliation(s)
- Xiaofan Gong
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Xia Liu
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Yueyue Li
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Kai Ma
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Wen Song
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Jiayin Zhou
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Qichao Tu
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
- Joint Lab for Ocean Research and Education at Dalhousie University, Shandong University and Xiamen University, Qingdao, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangzhou, China
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