Zhang Ni, Jiang Hongchen, Zhou Zhiyun, Wang Yijun, Qi Desheng, Zhou Shijia, Ma Jing, Chen Kelong
Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining, China.
Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education), Qinghai Normal University, Xining, China.
Front Microbiol. 2025 Apr 24;16:1581432. doi: 10.3389/fmicb.2025.1581432. eCollection 2025.
The impact of climate change on the global hydrological cycle is becoming increasingly significant, with changes in precipitation patterns emerging as a key factor influencing the carbon and nitrogen cycling processes in alpine wetland ecosystems. However, the response of the nosZ-type denitrifying microbial community and its metabolic characteristics in the source wetland to precipitation changes remains unclear. In this study, high-throughput sequencing of the nosZ gene and LC-MS-based metabolomics were used to investigate the response of the nosZ-type denitrifying microbial community and its metabolic characteristics to precipitation changes (4 years) in the source wetland of Qinghai Lake. The results showed that was the key bacterial group in the source wetland of Qinghai Lake, and was sensitive to changes in precipitation ( < 0.05). The 50% rainfall enhancement treatment significantly increased soil moisture, and the total carbon content showed an increasing trend with the increase in precipitation ( < 0.05). pH was the most important explanatory factor for community structure, while total nitrogen content was the key explanatory factor for community diversity. Deterministic processes dominated the assemblage of the nosZ-type denitrifying microbial community in the source wetland of Qinghai Lake. Soil metabolomics analysis showed that the differential metabolites in the Source Wetland mostly exhibited significant positive correlations. Precipitation changes significantly affected the relative abundance of N-Acetylaspartic acid. In summary, lower precipitation is more favorable for maintaining carbon storage in the source wetlands of Qinghai Lake. Precipitation variation disrupted the existing nitrogen balance within the ecosystem and altered the structure of the nosZ-type denitrifying microbial community and soil metabolic characteristics. These findings imply that climate change-driven shifts in precipitation patterns may impact carbon and nitrogen dynamics in alpine wetlands, alter ecosystem stability, and have profound effects on microbial communities and biogeochemical cycles.
气候变化对全球水文循环的影响日益显著,降水模式的变化已成为影响高寒湿地生态系统碳氮循环过程的关键因素。然而,源湿地中nosZ型反硝化微生物群落对降水变化的响应及其代谢特征仍不清楚。本研究利用nosZ基因高通量测序和基于液相色谱-质谱联用的代谢组学技术,研究了青海湖源湿地中nosZ型反硝化微生物群落及其代谢特征对降水变化(4年)的响应。结果表明,[具体细菌类群]是青海湖源湿地的关键细菌类群,且对降水变化敏感(P<0.05)。50%降雨增强处理显著增加了土壤湿度,总碳含量随降水量增加呈上升趋势(P<0.05)。pH是群落结构最重要的解释因子,而总氮含量是群落多样性关键解释因子。确定性过程主导了青海湖源湿地中nosZ型反硝化微生物群落的组装。土壤代谢组学分析表明源湿地中的差异代谢物大多呈显著正相关。降水变化显著影响N-乙酰天门冬氨酸的相对丰度。综上所述,较低降水量更有利于维持青海湖源湿地的碳储存。降水变化扰乱了生态系统内现有的氮平衡,并改变了nosZ型反硝化微生物群落结构和土壤代谢特征。这些发现意味着气候变化驱动的降水模式转变可能影响高寒湿地的碳氮动态,改变生态系统稳定性,并对微生物群落和生物地球化学循环产生深远影响。