Li Liangliang, Luo Zhuzhu, Nian Lili, Li Lingling, Niu Yining, Zhang Yaoquan, He Renyuan, Liu Jiahe
Grassland Science College, Gansu Agricultural University, Lanzhou, China.
College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou, China.
Front Microbiol. 2025 Jun 19;16:1517296. doi: 10.3389/fmicb.2025.1517296. eCollection 2025.
To investigate the effects of long-term alfalfa planting on the structure and diversity of soil ammonia-oxidizing microbial communities, this study conducted a field experiment in the semi-arid region of the Loess Plateau. Alfalfa fields planted in 2019 (L2019), 2012 (L2012), and 2003 (L2003) were studied, with farmland corn serving as the control (CK). High-throughput sequencing was used to examine the ammonia-oxidizing microbial communities and their interactions in alfalfa with varying planting durations. The results demonstrated that alfalfa planting significantly increased the levels of total nitrogen, and organic carbon compared to CK. The gene abundance of ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB) increased with longer alfalfa planting durations. The ecological network analysis showed that at low planting years, species in the AOA community were mainly in a collaborative relationship, while species in the AOB community were mainly in a competitive relationship. This relationship changed at high planting years. Structural equation modeling indicated that planting duration was significantly correlated with Soil water content, total nitrogen, and ammonium nitrogen. Additionally, AOB communities were significantly positively correlated with -N and negatively correlated with nitrate nitrogen. Ecological null model analysis revealed that the assembly of AOA and AOB communities was primarily governed by stochastic processes, with uncertainty being a key factor in the random assembly process. Furthermore, the β-nearest taxon index (βNTI) of AOB was significantly correlated with Soil water content. This suggests that long-term alfalfa planting forms a stable soil environment, enhancing stochastic processes, which is conducive to maintaining the sustainability and stability of the artificial grassland ecosystem function.
为了研究长期种植苜蓿对土壤氨氧化微生物群落结构和多样性的影响,本研究在黄土高原半干旱地区进行了田间试验。研究了2019年(L2019)、2012年(L2012)和2003年(L2003)种植的苜蓿田,并以农田玉米作为对照(CK)。采用高通量测序技术研究了不同种植年限苜蓿中氨氧化微生物群落及其相互作用。结果表明,与对照相比,种植苜蓿显著提高了土壤总氮和有机碳含量。氨氧化古菌(AOA)和氨氧化细菌(AOB)的基因丰度随着苜蓿种植年限的延长而增加。生态网络分析表明,在种植年限较低时,AOA群落中的物种主要处于协作关系,而AOB群落中的物种主要处于竞争关系。这种关系在种植年限较高时发生了变化。结构方程模型表明,种植年限与土壤含水量、总氮和铵态氮显著相关。此外,AOB群落与铵态氮显著正相关,与硝态氮显著负相关。生态零模型分析表明,AOA和AOB群落的组装主要受随机过程控制,不确定性是随机组装过程中的关键因素。此外,AOB的β-最近分类单元指数(βNTI)与土壤含水量显著相关。这表明长期种植苜蓿形成了稳定的土壤环境,增强了随机过程,有利于维持人工草地生态系统功能的可持续性和稳定性。