Liu Aiju, Rong Fangxu, Wang Guizhen, Hou Guoqin, Liu Jing, Li Mingyue, Liu Kai, Wazir Zafran Gul, Liu Hongliang, Xu Yuzhi
School of Resources and Environmental Engineering, Shandong University of Technology, Zibo, 255049, PR China.
School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, 255049, PR China.
J Environ Manage. 2025 Apr;379:124826. doi: 10.1016/j.jenvman.2025.124826. Epub 2025 Mar 9.
Numerous studies investigated the variation of soil ammonia oxidizing microorganisms along the geographic distance, but few highlighted the associated influence of agricultural practices on ammonia oxidizing communities and functions. To make up this gap, we determined the variation of ammonia-oxidizing archaea (AOA), bacteria (AOB), and soil nitrification within eight typical agricultural plots across China. The current study revealed significant variations in soil potential nitrification rates (PNRs) and the diversity and composition of AOA and AOB communities across various plots. Spearman correlation analysis revealed a significant link between soil PNRs and alpha diversity, specific AOA and AOB taxa, but no significant correlation was found with amoA gene abundance. Structural equation modeling and canonical correspondence analysis showed that factors like MAT, clay content, CEC, and soil carbon and nitrogen levels significantly influenced the diversity and composition of AOA. In contrast, AOB were more significantly impacted by soil pH and carbon- and nitrogen-related nutrients, but less associated with MAP and soil clay content. Notably, soil PNRs were found to be closely linked to AOB diversity, soil pH, and ammonium nitrogen (NH4N) levels. This research highlights the contributing role of AOB group in soil nitrification and the related driving factors from agricultural practices.
众多研究调查了土壤氨氧化微生物沿地理距离的变化,但很少有研究强调农业实践对氨氧化群落和功能的相关影响。为了弥补这一差距,我们测定了中国八个典型农业地块中氨氧化古菌(AOA)、细菌(AOB)的变化以及土壤硝化作用。当前研究揭示了不同地块间土壤潜在硝化速率(PNR)以及AOA和AOB群落的多样性与组成存在显著差异。Spearman相关性分析表明土壤PNR与α多样性、特定的AOA和AOB分类群之间存在显著联系,但与amoA基因丰度未发现显著相关性。结构方程模型和典范对应分析表明,年均气温(MAT)、黏粒含量、阳离子交换量(CEC)以及土壤碳氮水平等因素显著影响AOA的多样性和组成。相比之下,AOB受土壤pH值以及与碳氮相关的养分影响更为显著,但与年降水量(MAP)和土壤黏粒含量的相关性较小。值得注意的是,发现土壤PNR与AOB多样性、土壤pH值和铵态氮(NH4N)水平密切相关。本研究突出了AOB群体在土壤硝化作用中的贡献作用以及来自农业实践的相关驱动因素。