Intrinsic soil properties and microbial controls on denitrification rates across contrasting agricultural soils.

IF 4.2 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Jingwen Li, Xulei Guo, Pengfei Zhang
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Abstract

Denitrification is a key microbial process in nitrogen cycling and a major source of N2O emissions from agricultural soils. In this study, we investigated denitrification rates and their intrinsic controls across four contrasting agricultural soils from China (black, yellow loessal, purple, and red soils) using anaerobic microcosm incubations with the acetylene inhibition method. Denitrification rate constants were derived from a pseudo-first-order kinetic model. Microbial community composition and the abundance of denitrification functional genes (narG, napA, nirK, nirS, norB, and nosZ) were characterized using 16S rRNA gene sequencing and quantitative polymerase chain reaction (qPCR), respectively. Denitrification rate constants differed significantly among soils, decreasing from 12.0 ± 1.3 to 0.1 ± 0.1 d-1 in the order black > yellow loessal > purple > red. Soil type explained 92.1% of the variation in bacterial community composition (PERMANOVA, p < 0.001), demonstrating pronounced soil-specific microbial assemblages. Soil physicochemical properties, especially pH, soil organic carbon (SOC), and cation exchange capacity (CEC), were strongly associated with microbial community structure and denitrification potential. Microbial diversity correlated positively with denitrification rates, and norB abundance closely tracked differences in denitrification activity across soils. However, functional gene abundance did not always correspond to the microbial structure or denitrification rates, as illustrated by the high abundance but non-significant relationship of narG with denitrification rate constants. Together, these results highlight the integrated roles of intrinsic soil properties, microbial community characteristics, and functional potential in explaining denitrification variability among soils. By providing a quantitative baseline, this study offers a reference framework for future investigations assessing how external environmental disturbances may alter soil nitrogen cycling.

不同农业土壤的内在土壤特性和微生物对反硝化速率的控制。
反硝化作用是氮循环中的一个关键微生物过程,也是农业土壤N2O排放的主要来源。在这项研究中,我们使用厌氧微生物培养和乙炔抑制法研究了中国四种不同农业土壤(黑土、黄土、紫土和红土)的反硝化速率及其内在控制因素。反硝化速率常数由准一级动力学模型推导。采用16S rRNA基因测序和定量聚合酶链反应(qPCR)技术分别对微生物群落组成和反硝化功能基因narG、napA、nirK、nirS、norB和nosZ的丰度进行了表征。不同土壤的反硝化速率常数差异显著,从12.0±1.3递减到0.1±0.1 d-1,依次为黑色>黄色黄土>紫色>红色。土壤类型解释了细菌群落组成变化的92.1% (PERMANOVA, p < 0.001),显示出明显的土壤特异性微生物组合。土壤理化性质,特别是pH、土壤有机碳(SOC)和阳离子交换容量(CEC)与微生物群落结构和反硝化潜力密切相关。微生物多样性与反硝化速率呈正相关,而norB丰度密切跟踪土壤反硝化活性的差异。然而,功能基因丰度并不总是与微生物结构或反硝化速率相对应,narG丰度高,但与反硝化速率常数的关系不显著。总之,这些结果强调了内在土壤特性、微生物群落特征和功能潜力在解释土壤反硝化变异中的综合作用。通过提供定量基线,本研究为未来研究评估外部环境干扰如何改变土壤氮循环提供了参考框架。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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