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Xiao W, Zhang Q, Zhao S, Chen D, Zhao Z, Gao N, Huang M, Ye X. Combined metabolomic and microbial community analyses reveal that biochar and organic manure alter soil C-N metabolism and greenhouse gas emissions. ENVIRONMENT INTERNATIONAL 2024; 192:109028. [PMID: 39307007 DOI: 10.1016/j.envint.2024.109028] [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: 07/19/2024] [Revised: 09/06/2024] [Accepted: 09/19/2024] [Indexed: 10/26/2024]
Abstract
The use of biochar to reduce the gas emissions from paddy soils is a promising approach. However, the manner in which biochar and soil microbial communities interact to affect CO2, CH4, and N2O emissions is not clearly understood, particularly when compared with other amendments. In this study, high-throughput sequencing, soil metabolomics, and quantitative real-time PCR were utilized to compare the effects of biochar (BC) and organic manure (OM) on soil microbial community structure, metabolomic profiles and functional genes, and ultimately CO2, CH4, and N2O emissions. Results indicated that BC and OM had opposite effects on soil CO2 and N2O emissions, with BC resulting in lower emissions and OM resulting in higher emissions, whereas BC, OM, and their combined amendments increased cumulative CH4 emissions by 19.5 %, 31.6 %, and 49.1 %, respectively. BC amendment increased the abundance of methanogens (Methanobacterium and Methanocella) and denitrifying bacteria (Anaerolinea and Gemmatimonas), resulting in an increase in the abundance of mcrA, amoA, amoB, and nosZ genes and the secretion of a flavonoid (chrysosplenetin), which caused the generation of CH4 and the reduction of N2O to N2, thereby accelerating CH4 emissions while reducing N2O emissions. Simultaneously, OM amendment increased the abundance of the methanogen Caldicoprobacter and denitrifying Acinetobacter, resulting in increased abundance of mcrA, amoA, amoB, nirK, and nirS genes and the catabolism of carbohydrates [maltotriose, D-(+)-melezitose, D-(+)-cellobiose, and maltotetraose], thereby enhancing CH4 and N2O emissions. Moreover, puerarin produced by Bacillus metabolism may contribute to the reduction in CO2 emissions by BC amendment, but increase in CO2 emissions by OM amendment. These findings reveal how BC and OM affect greenhouse gas emissions by modulating soil microbial communities, functional genes, and metabolomic profiles.
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Affiliation(s)
- Wendan Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Qi Zhang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Shouping Zhao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - De Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Zhen Zhao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Na Gao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Miaojie Huang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Xuezhu Ye
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Information Traceability for Agricultural Products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
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Markelova AN, Simonova GV, Kalashnikova DA, Volkov YV. Long-Term Variations of δ13С in Tree Ring Cellulose of the Ob-Tom Interfluve. CONTEMP PROBL ECOL+ 2022. [DOI: 10.1134/s1995425522030088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Wang YF, Ji XY, Xing LC, Wang PD, Liu J, Zhang TD, Zhao HN, He HT. Improved volume variable cluster model method for crystal-lattice optimization: effect on isotope fractionation factor. GEOCHEMICAL TRANSACTIONS 2022; 23:1. [PMID: 35598206 PMCID: PMC9124387 DOI: 10.1186/s12932-022-00078-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/31/2022] [Indexed: 06/15/2023]
Abstract
The isotopic fractionation factor and element partition coefficient can be calculated only after the geometric optimization of the molecular clusters is completed. Optimization directly affects the accuracy of some parameters, such as the average bond length, molecular volume, harmonic vibrational frequency, and other thermodynamic parameters. Here, we used the improved volume variable cluster model (VVCM) method to optimize the molecular clusters of a typical oxide, quartz. We documented the average bond length and relative volume change. Finally, we extracted the harmonic vibrational frequencies and calculated the equilibrium fractionation factor of the silicon and oxygen isotopes. Given its performance in geometrical optimization and isotope fractionation factor calculation, we further applied the improved VVCM method to calculate isotope equilibrium fractionation factors of Cd and Zn between the hydroxide (Zn-Al layered double hydroxide), carbonate (cadmium-containing calcite) and their aqueous solutions under superficial conditions. We summarized a detailed procedure and used it to re-evaluate published theoretical results for cadmium-containing hydroxyapatite, emphasizing the relative volume change for all clusters and confirming the optimal point charge arrangement (PCA). The results showed that the average bond length and isotope fractionation factor are consistent with those published in previous studies, and the relative volume changes are considerably lower than the results calculated using the periodic boundary method. Specifically, the average Si-O bond length of quartz was 1.63 Å, and the relative volume change of quartz centered on silicon atoms was - 0.39%. The average Zn-O bond length in the Zn-Al-layered double hydroxide was 2.10 Å, with a relative volume change of 1.96%. Cadmium-containing calcite had an average Cd-O bond length of 2.28 Å, with a relative volume change of 0.45%. At 298 K, the equilibrium fractionation factors between quartz, Zn-Al-layered double hydroxide, cadmium-containing calcite, and their corresponding aqueous solutions were [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] respectively. These results strongly support the reliability of the improved VVCM method for geometric optimization of molecular clusters.
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Affiliation(s)
- Yan-Fang Wang
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Xin-Yue Ji
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Le-Cai Xing
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
- Key Laboratory of Resource Survey and Research of Hebei Province, Hebei University of Engineering, Handan, 056038, China
| | - Peng-Dong Wang
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Jian Liu
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Tian-Di Zhang
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Hao-Nan Zhao
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China
| | - Hong-Tao He
- School of Earth Science and Engineering, Hebei University of Engineering, Handan, 056038, China.
- Key Laboratory of Resource Survey and Research of Hebei Province, Hebei University of Engineering, Handan, 056038, China.
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