{"title":"三峡库区支流榆林河河岸带土壤中的反硝化厌氧甲烷氧化活性和微生物机理","authors":"Shushan Hu, Qiang He, Yunan Liu, Cheng Cheng","doi":"10.1016/j.watres.2024.122865","DOIUrl":null,"url":null,"abstract":"Riparian zones are recognized as major sources of greenhouse gas emissions, particularly methane (CH<sub>4</sub>). Denitrifying anaerobic methane oxidation (DAMO) has garnered growing attention due to its significant contribution to mitigating CH<sub>4</sub> emissions in wetland environments. Nonetheless, the specific role and microbial mechanisms of DAMO in controlling CH<sub>4</sub> release within riparian zones are still not well comprehended. This study employed isotopic labeling experiments to measure the nitrate-dependent anaerobic methane oxidation (NaDAMO) and nitrite-dependent anaerobic methane oxidation (NiDAMO) potential of soil samples from riparian zones that were collected during different hydrological cycles. Moreover, soil physicochemical properties, DAMO activity, and microbial abundance were integrated to analyze the key factors and mechanisms influencing DAMO in riparian zone soils. The isotope tracer results showed that NaDAMO activities (1.4–11.93 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>) were significantly higher than NiDAMO activities (0.66–9.19 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>) in the riparian zone (<em>p</em><0.05). NiDAMO activities were more strongly influenced by hydrological variations compared to NaDAMO activities, exhibiting higher levels during the discharge period (2.78–9.19 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>) compared to the impoundment period (0.66–4.10 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>). The qPCR analysis showed that the gene copies of NaDAMO archaeal <em>mcrA</em> (10<sup>7</sup> copies g<sup>-1</sup>) were approximately ten times greater than those of NiDAMO bacterial <em>pmoA</em> (10<sup>6</sup> copies g<sup>-1</sup>) in the majority of the sampling sites. Correlation analyses revealed that NiDAMO activity was influenced by soil pH (<em>p</em><0.05), while NaDAMO microbes were influenced by temperature, organic carbon, and ammonia nitrogen concentrations (<em>p</em><0.05). In summary, this research explored how hydrological changes in the riparian zone influence DAMO activities and their underlying mechanisms, providing a theoretical basis for mitigating CH<sub>4</sub> emissions in riparian zones of reservoir regions.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"258 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Denitrifying Anaerobic Methane Oxidation Activity and Microbial Mechanisms in Riparian Zone Soils of the Yulin River, a Tributary of the Three Gorges Reservoir\",\"authors\":\"Shushan Hu, Qiang He, Yunan Liu, Cheng Cheng\",\"doi\":\"10.1016/j.watres.2024.122865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Riparian zones are recognized as major sources of greenhouse gas emissions, particularly methane (CH<sub>4</sub>). Denitrifying anaerobic methane oxidation (DAMO) has garnered growing attention due to its significant contribution to mitigating CH<sub>4</sub> emissions in wetland environments. Nonetheless, the specific role and microbial mechanisms of DAMO in controlling CH<sub>4</sub> release within riparian zones are still not well comprehended. This study employed isotopic labeling experiments to measure the nitrate-dependent anaerobic methane oxidation (NaDAMO) and nitrite-dependent anaerobic methane oxidation (NiDAMO) potential of soil samples from riparian zones that were collected during different hydrological cycles. Moreover, soil physicochemical properties, DAMO activity, and microbial abundance were integrated to analyze the key factors and mechanisms influencing DAMO in riparian zone soils. The isotope tracer results showed that NaDAMO activities (1.4–11.93 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>) were significantly higher than NiDAMO activities (0.66–9.19 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>) in the riparian zone (<em>p</em><0.05). NiDAMO activities were more strongly influenced by hydrological variations compared to NaDAMO activities, exhibiting higher levels during the discharge period (2.78–9.19 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>) compared to the impoundment period (0.66–4.10 nmol <sup>13</sup>CO<sub>2</sub> g<sup>-1</sup>day<sup>-1</sup>). The qPCR analysis showed that the gene copies of NaDAMO archaeal <em>mcrA</em> (10<sup>7</sup> copies g<sup>-1</sup>) were approximately ten times greater than those of NiDAMO bacterial <em>pmoA</em> (10<sup>6</sup> copies g<sup>-1</sup>) in the majority of the sampling sites. Correlation analyses revealed that NiDAMO activity was influenced by soil pH (<em>p</em><0.05), while NaDAMO microbes were influenced by temperature, organic carbon, and ammonia nitrogen concentrations (<em>p</em><0.05). In summary, this research explored how hydrological changes in the riparian zone influence DAMO activities and their underlying mechanisms, providing a theoretical basis for mitigating CH<sub>4</sub> emissions in riparian zones of reservoir regions.\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"258 1\",\"pages\":\"\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2024-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.watres.2024.122865\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2024.122865","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Denitrifying Anaerobic Methane Oxidation Activity and Microbial Mechanisms in Riparian Zone Soils of the Yulin River, a Tributary of the Three Gorges Reservoir
Riparian zones are recognized as major sources of greenhouse gas emissions, particularly methane (CH4). Denitrifying anaerobic methane oxidation (DAMO) has garnered growing attention due to its significant contribution to mitigating CH4 emissions in wetland environments. Nonetheless, the specific role and microbial mechanisms of DAMO in controlling CH4 release within riparian zones are still not well comprehended. This study employed isotopic labeling experiments to measure the nitrate-dependent anaerobic methane oxidation (NaDAMO) and nitrite-dependent anaerobic methane oxidation (NiDAMO) potential of soil samples from riparian zones that were collected during different hydrological cycles. Moreover, soil physicochemical properties, DAMO activity, and microbial abundance were integrated to analyze the key factors and mechanisms influencing DAMO in riparian zone soils. The isotope tracer results showed that NaDAMO activities (1.4–11.93 nmol 13CO2 g-1day-1) were significantly higher than NiDAMO activities (0.66–9.19 nmol 13CO2 g-1day-1) in the riparian zone (p<0.05). NiDAMO activities were more strongly influenced by hydrological variations compared to NaDAMO activities, exhibiting higher levels during the discharge period (2.78–9.19 nmol 13CO2 g-1day-1) compared to the impoundment period (0.66–4.10 nmol 13CO2 g-1day-1). The qPCR analysis showed that the gene copies of NaDAMO archaeal mcrA (107 copies g-1) were approximately ten times greater than those of NiDAMO bacterial pmoA (106 copies g-1) in the majority of the sampling sites. Correlation analyses revealed that NiDAMO activity was influenced by soil pH (p<0.05), while NaDAMO microbes were influenced by temperature, organic carbon, and ammonia nitrogen concentrations (p<0.05). In summary, this research explored how hydrological changes in the riparian zone influence DAMO activities and their underlying mechanisms, providing a theoretical basis for mitigating CH4 emissions in riparian zones of reservoir regions.
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.