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[石家庄市城区与郊区河流沉积物中可移动遗传元件的时空差异及影响因素]

[Spatial and Temporal Differences and Influencing Factors of Mobile Genetic Elements in Urban and Suburban River Sediments in Shijiazhuang City].

作者信息

Chen Hao-da, Gao Sai, Wang Lin-Jing, Zhao Bo, Lu Meng-Qi, Song Yuan-Meng, Cui Jian-Sheng, Zhang Lu-Lu

机构信息

College of Environmental Sciences and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Hebei Key Laboratory of Pollution Prevention Biotechnology, Shijiazhuang 050018, China.

出版信息

Huan Jing Ke Xue. 2025 Apr 8;46(4):2250-2262. doi: 10.13227/j.hjkx.202403034.

Abstract

With the widespread use of antibiotics in medicine and agriculture, the spread of antibiotic resistance genes (ARGs) in the environment has become a serious threat to ecological balance and human health, particularly for its role in facilitating the emergence of multidrug-resistant pathogens. The study of riverine environments as a major transmission route for ARGs and closely related mobile genetic elements (MGEs) is of great importance. MGEs exacerbate the spread of resistance genes by facilitating the horizontal transfer of ARGs in bacterial populations. Although studies have been conducted to explore the interactions between MGEs and ARGs, there is still a relative lack of research on the spatial and temporal differences in the distribution of MGEs in rivers and their drivers. This study selected two rural rivers (with a total of six sampling points) and three urban rivers (with a total of nine sampling points) within Shijiazhuang as research subjects, and sediment samples were collected in December 2020 and April 2021. By employing metagenomic sequencing technology, this study comprehensively compared and analyzed the spatiotemporal distribution characteristics and influencing factors of MGEs in the sediment of urban and rural rivers. The results showed that: ① In December, 1 738 types of MGEs (60572 RPKM) and 1 604 types of MGEs (26916 RPKM) were detected in urban and rural rivers, respectively. In April, 1 790 types of MGEs (74354 RPKM) and 1 631 types of MGEs (32062 RPKM) were detected in urban and rural rivers, respectively. ② The types and abundance of MGEs in urban rivers were greater than those in rural rivers, and the types and abundance of MGEs in April were greater than those in December. ③ , , and were the most significantly different typical MGEs among the rivers in urban and suburban Shijiazhuang. ④ PCoA and NMDS analyses showed significant spatiotemporal differences in MGEs between urban and rural rivers. ⑤ Correlation analysis and co-occurrence results indicated that the abundance of MGEs in urban rivers was significantly positively correlated with antibiotic concentration, industrial enterprises, sewage treatment plants, total population, livestock farming, and aquaculture. In suburban rivers, the abundance of MGEs was mainly significantly positively correlated with antibiotic concentration, livestock farming, aquaculture, and total population. Overall, by comparing the spatiotemporal heterogeneity of MGEs in urban and rural rivers and identifying the main driving factors of MGEs in urban and suburban rivers, this study provides data support for subsequent risk management and control of antibiotic resistance in different rivers.

摘要

随着抗生素在医学和农业中的广泛使用,抗生素抗性基因(ARGs)在环境中的传播已成为对生态平衡和人类健康的严重威胁,特别是因其在促进多重耐药病原体出现方面所起的作用。将河流环境作为ARGs及密切相关的可移动遗传元件(MGEs)的主要传播途径进行研究具有重要意义。MGEs通过促进ARGs在细菌群体中的水平转移,加剧了抗性基因的传播。尽管已经开展了一些研究来探索MGEs与ARGs之间的相互作用,但对于河流中MGEs分布的时空差异及其驱动因素的研究仍然相对较少。本研究选取石家庄市境内的两条农村河流(共六个采样点)和三条城市河流(共九个采样点)作为研究对象,于2020年12月和2021年4月采集了沉积物样本。通过采用宏基因组测序技术,本研究全面比较并分析了城乡河流沉积物中MGEs的时空分布特征及其影响因素。结果表明:①12月,城市河流和农村河流分别检测到1738种MGEs(60572 RPKM)和1604种MGEs(26916 RPKM)。4月,城市河流和农村河流分别检测到1790种MGEs(74354 RPKM)和1631种MGEs(32062 RPKM)。②城市河流中MGEs的种类和丰度高于农村河流,4月MGEs的种类和丰度高于12月。③ 、 和 是石家庄市城乡河流中差异最为显著的典型MGEs。④主坐标分析(PCoA)和非度量多维尺度分析(NMDS)表明,城乡河流中MGEs存在显著的时空差异。⑤相关性分析和共现结果表明,城市河流中MGEs的丰度与抗生素浓度、工业企业、污水处理厂、总人口、畜牧业和水产养殖显著正相关。在郊区河流中,MGEs的丰度主要与抗生素浓度、畜牧业、水产养殖和总人口显著正相关。总体而言,通过比较城乡河流中MGEs的时空异质性,并确定城乡河流中MGEs的主要驱动因素,本研究为后续不同河流抗生素抗性的风险管理和控制提供了数据支持。

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