Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, PR China; School of Environmental Studies, China University of Geosciences, Wuhan 430074, PR China.
Sci Total Environ. 2024 Jan 10;907:167779. doi: 10.1016/j.scitotenv.2023.167779. Epub 2023 Oct 14.
Antibiotic resistance genes (ARGs) are emerging environmental pollutants, influenced by complex regulatory factors. River-lake systems act as natural reservoirs for ARGs and provide an ideal model for studying their regulatory mechanisms. This study employed high-throughput quantitative PCR, high-throughput sequencing, correlation analyses, and model predictions to investigate the dynamics of ARGs and their influencing factors in Liangzi Lake, located in the mid-reaches of the Yangtze River. The research specifically centered on three environmental components: lake water, sediment, and river water. Results indicated that the ARGs from eight major antibiotic classes, displaying distinct seasonal distribution patterns. In comparison to the sediment, the water phase demonstrated a higher diversity of ARGs, with the highest level of ARGs sharing observed between lake and river waters (approximately 83.7 %). Furthermore, seasonal variations significantly influenced the distributions of both ARGs and bacterial communities. The diversity of ARGs was highest during the summer and autumn, and specific bacterial species exhibited robust correlations with ARGs (including matA/mel, aac (6')-Ib-03, and blaROB). It is worth noting that environmental attributes and bacterial diversity had the most substantial impact on the dynamic changes in ARGs. Lastly, source tracking analysis pinpointed that sediment as the primary source of ARGs in lake water, constituting 45 % to 48 % of the total ARGs. Our study provides a comprehensive analysis of ARGs and their influencing factors in the river-lake system of the middle reaches of the Yangtze River, with Liangzi Lake as a representative case.
抗生素耐药基因(ARGs)是新兴的环境污染物,受复杂调控因素的影响。河湖系统作为 ARGs 的天然储库,为研究其调控机制提供了理想的模型。本研究采用高通量定量 PCR、高通量测序、相关分析和模型预测,调查了位于长江中游的梁子湖 ARGs 的动态及其影响因素。研究特别关注了三个环境组成部分:湖水、沉积物和河水。结果表明,来自 8 大类抗生素的 ARGs 表现出明显的季节性分布模式。与沉积物相比,水相的 ARGs 多样性更高,湖水中河水中 ARGs 的最高水平共享度约为 83.7%。此外,季节性变化显著影响了 ARGs 和细菌群落的分布。夏季和秋季 ARGs 的多样性最高,特定细菌种类与 ARGs 之间存在强烈的相关性(包括 matA/mel、aac(6')-Ib-03 和 blaROB)。值得注意的是,环境属性和细菌多样性对 ARGs 的动态变化影响最大。最后,源追踪分析指出,沉积物是湖水中 ARGs 的主要来源,占总 ARGs 的 45%至 48%。本研究对长江中游河湖水系的 ARGs 及其影响因素进行了全面分析,以梁子湖为例。