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Liu J, Pei R, Liu R, Jing C, Liu W. Arsenic methylation and microbial communities in paddy soils under alternating anoxic and oxic conditions. J Environ Sci (China) 2025; 148:468-475. [PMID: 39095181 DOI: 10.1016/j.jes.2023.10.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/27/2023] [Accepted: 10/27/2023] [Indexed: 08/04/2024]
Abstract
Arsenic (As) methylation in soils affects the environmental behavior of As, excessive accumulation of dimethylarsenate (DMA) in rice plants leads to straighthead disease and a serious drop in crop yield. Understanding the mobility and transformation of methylated arsenic in redox-changing paddy fields is crucial for food security. Here, soils including un-arsenic contaminated (N-As), low-arsenic (L-As), medium-arsenic (M-As), and high-arsenic (H-As) soils were incubated under continuous anoxic, continuous oxic, and consecutive anoxic/oxic treatments respectively, to profile arsenic methylating process and microbial species involved in the As cycle. Under anoxic-oxic (A-O) treatment, methylated arsenic was significantly increased once oxygen was introduced into the incubation system. The methylated arsenic concentrations were up to 2-24 times higher than those in anoxic (A), oxic (O), and oxic-anoxic (O-A) treatments, under which arsenic was methylated slightly and then decreased in all four As concentration soils. In fact, the most plentiful arsenite S-adenosylmethionine methyltransferase genes (arsM) contributed to the increase in As methylation. Proteobacteria (40.8%-62.4%), Firmicutes (3.5%-15.7%), and Desulfobacterota (5.3%-13.3%) were the major microorganisms related to this process. These microbial increased markedly and played more important roles after oxygen was introduced, indicating that they were potential keystone microbial groups for As methylation in the alternating anoxic (flooding) and oxic (drainage) environment. The novel findings provided new insights into the reoxidation-driven arsenic methylation processes and the model could be used for further risk estimation in periodically flooded paddy fields.
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Affiliation(s)
- Jing Liu
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Rui Pei
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Runzeng Liu
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Chuanyong Jing
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Wenjing Liu
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China.
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Lai JL, Li ZG, Han MW, Huang Y, Xi HL, Luo XG. Analysis of environmental biological effects and OBT accumulation potential of microalgae in freshwater systems exposed to tritium pollution. WATER RESEARCH 2024; 250:121013. [PMID: 38118252 DOI: 10.1016/j.watres.2023.121013] [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: 06/01/2023] [Revised: 12/07/2023] [Accepted: 12/10/2023] [Indexed: 12/22/2023]
Abstract
The ecological risk of tritiated wastewater into the environment has attracted much attention. Assessing the ecological risk of tritium-containing pollution is crucial by studying low-activity tritium exposure's environmental and biological effects on freshwater micro-environment and the enrichment potential of organically bound tritium (OBT) in microalgae and aquatic plants. The impact of tritium-contaminated wastewater on the microenvironment of freshwater systems was analyzed using microcosm experiments to simulate tritium pollution in freshwater systems. Low activity tritium pollution (105 Bq/L) induced differences in microbial abundance, with Proteobacteria, Bacteroidota, and Desulfobacterota occupying important ecological niches in the water system. Low activity tritium (105-107 Bq/L) did not affect the growth of microalgae and aquatic plants, but OBT was significantly enriched in microalgae and two aquatic plants (Pistia stratiotes, Spirodela polyrrhiza), with the enrichment coefficients of 2.08-3.39 and 1.71-2.13, respectively. At the transcriptional level, low-activity tritium (105 Bq/L) has the risk of interfering with gene expression in aquatic plants. Four dominant cyanobacterial strains (Leptolyngbya sp., Synechococcus elongatus, Nostoc sp., and Anabaena sp.) were isolated and demonstrated good environmental adaptability to tritium pollution. Environmental factors can modify the tritium accumulation potential in cyanobacteria and microalgae, theoretically enhancing food chain transfer.
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Affiliation(s)
- Jin-Long Lai
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, China; State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Zhan-Guo Li
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Meng-Wei Han
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Yan Huang
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, China
| | - Hai-Ling Xi
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
| | - Xue-Gang Luo
- School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, 621010, China.
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Guo Z, Lu W, Minpeng S, Liyuan S, Zhenlin L, Wenjing C, Xiaoyong L, Bo Z, Jeong Ha K, Zhaoyang J. Seasonal dynamics response mechanism of benthic microbial community to artificial reef habitats. ENVIRONMENTAL RESEARCH 2024; 243:117867. [PMID: 38070848 DOI: 10.1016/j.envres.2023.117867] [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: 11/03/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 02/06/2024]
Abstract
Artificial reefs (ARs) have been globally deployed to enhance and restore coastal resource and ecosystems. Microorganisms play an essential role in marine ecosystems, while the knowledge regarding the impact of ARs on microecology is still limited, particularly data concerning the response of benthic microbial community to AR habitats. In this study, the seasonal dynamics of benthic microbial community in AR and adjacent non-artificial reef (NAR) areas surrounding Xiaoshi Island were investigated with high-throughput sequencing technology. The results revealed that the diversity and structure of microbial community between AR and NAR both displayed pronounced seasonal dynamics. There was a greater influence of season factors on microbial communities than that of habitat type. The microbial communities in AR and NAR habitats were characterized by a limited number of abundant taxa (ranging from 5 to 12 ASVs) with high relative abundance (8.35-25.53%) and numerous rare taxa (from 5994 to 12412 ASVs) with low relative abundance (11.91%-24.91%). Proteobacteria, Bacteroidota and Desulfobacterota were the common predominant phyla, with the relative abundances ranging from 50.94% to 76.76%. A total of 52 biomarkers were discovered, with 15, 4, 6, and 27 biomarkers identified in spring, summer, autumn and winter, respectively. Co-occurrence network analysis indicated that AR displayed a more complex interaction pattern and higher susceptibility to external disturbances. Furthermore, the neutral model and βNTI analyses revealed that the assembly of microbial communities in both AR and NAR is significantly influenced by stochastic processes. This study could provide valuable insights into the impact of ARs construction on the benthic ecosystems and would greatly facilitate the development and implementation of the future AR projects.
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Affiliation(s)
- Zhansheng Guo
- Marine College, Shandong University, Weihai, Shandong, 264209, China; Key Laboratory of Modern Marine Ranching Technology of Weihai, Weihai, 264209, China
| | - Wang Lu
- Marine College, Shandong University, Weihai, Shandong, 264209, China; Key Laboratory of Modern Marine Ranching Technology of Weihai, Weihai, 264209, China
| | - Song Minpeng
- Marine College, Shandong University, Weihai, Shandong, 264209, China; Key Laboratory of Modern Marine Ranching Technology of Weihai, Weihai, 264209, China
| | - Sun Liyuan
- Shandong Fisheries Development and Resources Conservation Center, Yantai, 264003, China
| | - Liang Zhenlin
- Marine College, Shandong University, Weihai, Shandong, 264209, China; Key Laboratory of Modern Marine Ranching Technology of Weihai, Weihai, 264209, China
| | - Chen Wenjing
- Marine College, Shandong University, Weihai, Shandong, 264209, China; Key Laboratory of Modern Marine Ranching Technology of Weihai, Weihai, 264209, China
| | - Liu Xiaoyong
- Shandong Haizhibao Ocean Science and Technology Co., Ltd, Weihai, 264300, China
| | - Zhang Bo
- Shandong Haizhibao Ocean Science and Technology Co., Ltd, Weihai, 264300, China
| | - Kim Jeong Ha
- Department of Biological Science, College of Science, Sungkyunkwan University, Suwon, 16419, South Korea.
| | - Jiang Zhaoyang
- Marine College, Shandong University, Weihai, Shandong, 264209, China; Key Laboratory of Modern Marine Ranching Technology of Weihai, Weihai, 264209, China.
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Wu Z, Chen Z, Wang H, Liu H, Wei Z. Arsenic removal in flue gas through anaerobic denitrification and sulfate reduction cocoupled arsenic oxidation. CHEMOSPHERE 2023:139350. [PMID: 37399995 DOI: 10.1016/j.chemosphere.2023.139350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/12/2023] [Accepted: 06/25/2023] [Indexed: 07/05/2023]
Abstract
Arsenic in flue gas from municipal solid waste incineration can damage to human health and ecological environment. A sulfate-nitrate-reducing bioreactor (SNRBR) for flue gas arsenic removal was investigated. Arsenic removal efficiency attained 89.4%. An integrated metagenomic and metaproteomic investigation showed that three nitrate reductases (NapA, NapB and NarG), three sulfate reductases (Sat, AprAB and DsrAB), and arsenite oxidase (ArxA) regulated nitrate reduction, sulfate reduction and bacterial As(III)-oxidation, respectively. Citrobacter and Desulfobulbus could synthetically regulate the expression of arsenite-oxidizing gene, nitrate reductases and sulfate reducatases, which involved in As(III) oxidation, nitrate and sulfate reduction. A bacterial consortium containing Citrobacter, UG_Enterobacteriaceas, Desulfobulbus and Desulfovibrio could capable of simultaneously arsenic oxidation, sulfate reduction and denitrification. Anaerobic denitrification and sulfate reduction were cocoupled to arsenic oxidation. The biofilm was characterized by FTIR, XPS, XRD, EEM, and SEM. XRD and XPS spectra verified the formation of aarsenic species (As(V)) from flue gas As(III) conversion. Arsenic speciation in biofilms of SNRBR consisted of 77% residual arsenic, 15.9% organic matter-bound arsenic, and 4.3% strongly absorbed arsenic. Flue gas arsenic was bio-stabilized in the form of Fe-As-S and As-EPS through biodeposition, biosorption and biocomplexation. This provides a new way of flue gas arsenic removal using the sulfate-nitrate-reducing bioreactor.
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Affiliation(s)
- Zuotong Wu
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou, 510006, China.
| | - Zhuoyao Chen
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou, 510006, China.
| | - Huiying Wang
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou, 510006, China.
| | - Haixu Liu
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou, 510006, China.
| | - Zaishan Wei
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou, 510006, China.
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