pH-dependent microbial responses drive nitrous oxide mitigation by the nitrification inhibitor DMPP.

Sustainable microbiology Pub Date : 2025-12-04 eCollection Date: 2025-01-01 DOI:10.1093/sumbio/qvaf032
Maria Kyriakidou, Alexandros Phokas, Maria Panagiotou, Panayiota Pissaridou, Michalis Omirou
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Abstract

Nitrous oxide (N₂O) emissions from agricultural soils are a major environmental concern, largely driven by microbial nitrogen (N) transformations following fertilizer application. Nitrification inhibitors such as 3,4-dimethylpyrazole phosphate (DMPP) offer a promising strategy to mitigate these emissions, though their effectiveness is highly context-dependent. We conducted a laboratory microcosm experiment using four Cypriot soils spanning acidic to near-neutral pH to compare N₂O emissions, inorganic N dynamics, and N-cycling microbial communities under three treatments: (i) untreated soil (control), (ii) soil with commercial N-P-K fertilizer, and (iii) soil with a commercial N-P-K fertilizer containing DMPP. The inclusion of DMPP in fertilizer reduced cumulative N₂O emissions by 81%-96% in near-neutral soils, primarily through suppression of ammonia-oxidizing bacteria, with minimal effects on ammonia-oxidizing archaea. In acidic soil, however, DMPP failed to significantly alter emissions or microbial gene abundances. Multivariate analyses and machine learning models identified soil pH, NH4⁺ availability, and ammonia monooxygenase (amoA) gene abundance as key predictors of DMPP efficacy and N₂O fluxes. These findings underscore the critical role of soil properties particularly pH in determining inhibitor performance and highlight the need for site-specific N management strategies to optimize fertilizer use and mitigate greenhouse gas emissions.

ph依赖的微生物反应驱动氧化亚氮通过硝化抑制剂DMPP减缓。
农业土壤的氧化亚氮(N₂O)排放是一个主要的环境问题,主要是由施肥后微生物氮(N)转化驱动的。硝化抑制剂如3,4-二甲基吡唑磷酸盐(DMPP)提供了一种很有前途的策略来减少这些排放,尽管它们的有效性高度依赖于环境。我们对塞浦路斯四种pH值为酸性至接近中性的土壤进行了实验室微观实验,比较了三种处理下的N₂O排放、无机N动态和N循环微生物群落:(i)未经处理的土壤(对照),(ii)施用N- p - k商业肥料的土壤,(iii)施用含有DMPP的N- p - k商业肥料的土壤。在近中性土壤中,添加DMPP可使累积N₂O排放量减少81%-96%,这主要是通过抑制氨氧化细菌,对氨氧化古菌的影响最小。然而,在酸性土壤中,DMPP未能显著改变排放或微生物基因丰度。多变量分析和机器学习模型发现,土壤pH、NH4 +可用性和氨单加氧酶(amoA)基因丰度是DMPP效果和N₂O通量的关键预测因子。这些发现强调了土壤特性(特别是pH值)在决定抑制剂性能方面的关键作用,并强调了针对特定地点的氮管理策略的必要性,以优化肥料使用和减少温室气体排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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