Zhang Binglin, Yang Ruiqi, Liu Yang, Guo Junming, Yang Junhua, Qin Xiang, Wang Shijin, Liu Junlin, Yang Xiaoying, Zhang Wei, Liu Guangxiu, Chen Tuo
Qilianshan Observation and Research Station of Cryosphere and Ecological Environment, Yulong Snow Station of Cryosphere and Sustainable Development, State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco, Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Key Laboratory of Extreme Environmental Microbial Resources and Engineering, Gansu Province 730000, China.
College of Environment and Urban Development, Lanzhou City University, Lanzhou 730070, China.
J Hazard Mater. 2025 Aug 15;494:138455. doi: 10.1016/j.jhazmat.2025.138455. Epub 2025 May 3.
Antibiotic resistance genes (ARGs) are biological pollutants widely present in glaciers, such as ice, snow, and melt water. However, it remains unclear whether ARGs in glaciers influence their distribution in human settlements within the glacier basins. Therefore, we investigated the distribution pattern and driving factors of ARGs in the Laohugou glacier basins on the Tibetan Plateau. Using high-throughput quantitative PCR, the total abundance of ARGs in the Laohugou glacier basins ranged from 7.53 × 10⁶ to 1.83 × 10⁹ copies/g, including 128 detected ARGs across 11 classes, with aminoglycoside resistance genes being the dominant group. The abundance of ARGs exhibited a U-shaped pattern along the elevational gradient, with higher levels in glacier regions and human settlements, and the lowest abundance at mid-elevations. While glacier melting and anthropogenic disturbance are likely major contributors to this pattern, other potential mechanisms may also be involved, such as elevation-dependent microbial community composition, atmospheric deposition and release of legacy ARGs from melting permafrost and glacial ice. Together, these processes likely interact to shape the observed ARG pattern in this alpine watershed. We further verified that the distribution of ARGs was strongly correlated with microbial community structure, especially bacterial communities (r > 0.50; p < 0.05). Network analysis showed that Nitrolancea negatively correlated with several core ARGs, suggesting its potential role in regulating the spread of ARGs. Random forest analysis and structural equation modeling (SEM) indicated that, after accounting for various driving factors, organic matter and bacterial biomass were the primary drivers of increased ARG abundance. This study provides a foundation for assessing the risks of ARGs in glacier basins under global climate change, offering insights into risk mitigation strategies and guiding future ecological and public health research.
抗生素抗性基因(ARGs)是广泛存在于冰川中的生物污染物,如冰、雪和融水。然而,冰川中的ARGs是否会影响其在冰川流域内人类住区的分布仍不清楚。因此,我们调查了青藏高原老虎沟冰川流域ARGs的分布模式及其驱动因素。通过高通量定量PCR技术,老虎沟冰川流域ARGs的总丰度范围为7.53×10⁶至1.83×10⁹拷贝/克,共检测到11类128种ARGs,其中氨基糖苷类抗性基因占主导地位。ARGs的丰度沿海拔梯度呈U形分布,在冰川区域和人类住区较高,在中等海拔处丰度最低。虽然冰川融化和人为干扰可能是这种模式的主要促成因素,但其他潜在机制也可能参与其中,如与海拔相关的微生物群落组成、大气沉降以及多年冻土和冰川冰融化释放的遗留ARGs。这些过程共同作用,可能塑造了这个高山流域中观察到的ARGs模式。我们进一步验证了ARGs的分布与微生物群落结构密切相关,尤其是细菌群落(r>0.50;p<0.05)。网络分析表明,硝化弧菌属与几种核心ARGs呈负相关,表明其在调节ARGs传播方面的潜在作用。随机森林分析和结构方程模型(SEM)表明,在考虑各种驱动因素后,有机质和细菌生物量是ARGs丰度增加的主要驱动因素。这项研究为评估全球气候变化下冰川流域ARGs的风险提供了基础,为风险缓解策略提供了见解,并为未来的生态和公共卫生研究提供了指导。