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Fungi and Archaea Control Soil N(2)O Production Potential in Chinese Grasslands Rather Than Bacteria

Nitrous oxide (N(2)O) is a powerful greenhouse gas and the predominant stratospheric ozone-depleting substance. Soil is a major source of N(2)O but remains largely uncertain due to the complicated processes of nitrification and denitrification performed by various groups of microbes such as bacteria...

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Detalles Bibliográficos
Autores principales: Zhong, Lei, Qing, Jinwu, Liu, Min, Cai, Xiaoxian, Li, Gaoyuan, Li, Frank yonghong, Chen, Guanyi, Xu, Xingliang, Xue, Kai, Wang, Yanfen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149426/
https://www.ncbi.nlm.nih.gov/pubmed/35651488
http://dx.doi.org/10.3389/fmicb.2022.844663
Descripción
Sumario:Nitrous oxide (N(2)O) is a powerful greenhouse gas and the predominant stratospheric ozone-depleting substance. Soil is a major source of N(2)O but remains largely uncertain due to the complicated processes of nitrification and denitrification performed by various groups of microbes such as bacteria, fungi, and archaea. We used incubation experiments to measure the total fungal, archaeal, and bacterial N(2)O production potential and the microbial functional genes in soils along 3,000 km Chinese grassland transect, including meadow steppe, typical steppe, desert steppe, alpine meadow, and alpine steppe. The results indicated that fungi, archaea, and bacteria contributed 25, 34, and 19% to nitrification and 46, 29, and 15% to denitrification, respectively. The AOA and AOB genes were notably correlated with the total nitrification enzyme activity (TNEA), whereas both narG and nirK genes were significantly correlated with total denitrification enzyme activity (TDEA) at p < 0.01. The correlations between AOA and ANEA (archaeal nitrification enzyme activity), AOB and BNEA (bacterial nitrification enzyme activity), and narG, nirK, and BDEA (bacterial denitrification enzyme activity) showed higher coefficients than those between the functional genes and TNEA/TDEA. The structural equation modeling (SEM) results showed that fungi are dominant in N(2)O production processes, followed by archaea in the northern Chinese grasslands. Our findings indicate that the microbial functional genes are powerful predictors of the N(2)O production potential, after distinguishing bacterial, fungal, and archaeal processes. The key variables of N(2)O production and the nitrogen (N) cycle depend on the dominant microbial functional groups in the N-cycle in soils.