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宏基因组分析确定典型抗生素污染沉积物中抗生素抗性基因的特征。

Metagenomic analysis to determine the characteristics of antibiotic resistance genes in typical antibiotic-contaminated sediments.

机构信息

Engineering Research Center of Environmental DNA and Ecological Water Health Assessment, Centre for Research on Environmental Ecology and Fish Nutrient of the Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China.

Shanghai National Engineering Research Center for Urban Water Resources Co., Ltd., Shanghai 200082, China.

出版信息

J Environ Sci (China). 2023 Jun;128:12-25. doi: 10.1016/j.jes.2022.08.014. Epub 2022 Aug 20.

DOI:10.1016/j.jes.2022.08.014
PMID:36801028
Abstract

Comprehensive studies of the effects of various physical and chemical variables (including heavy metals), antibiotics, and microorganisms in the environment on antibiotic resistance genes are rare. We collected sediment samples from the Shatian Lake aquaculture area and surrounding lakes and rivers located in Shanghai, China. The spatial distribution of sediment ARGs was assessed by metagenomic analysis that revealed 26 ARG types (510 subtypes), dominated by Multidrug, β-lactam, Aminoglycoside, Glycopeptides, Fluoroquinolone, and Tetracyline. Redundancy discriminant analysis indicated that antibiotics (SAs and MLs) in the aqueous environment and sediment along with water TN and TP were the key variables affecting the abundance distribution of total ARGs. However, the main environmental drivers and key influences differed among the different ARGs. For total ARGs, the environmental subtypes affecting their structural composition and distribution characteristics were mainly antibiotic residues. Procrustes analysis showed a significant correlation between ARGs and microbial communities in the sediment in the survey area. Network analysis revealed that most of the target ARGs were significantly and positively correlated with microorganisms, and a small number of ARGs (e.g., rpoB, mdtC, and efpA) were highly significantly and positively correlated with microorganisms (e.g., Knoellia, Tetrasphaera, and Gemmatirosa). Potential hosts for the major ARGs included Actinobacteria, Proteobacteria, and Gemmatimonadetes. Our study provides new insight and a comprehensive assessment of the distribution and abundance of ARGs and the drivers of ARG occurrence and transmission.

摘要

综合研究各种物理和化学变量(包括重金属)、抗生素和环境中的微生物对抗生素抗性基因的影响很少见。我们采集了中国上海沙天湖水产养殖区及周边湖泊和河流的沉积物样本。通过宏基因组分析评估了沉积物中 ARG 的空间分布,结果共揭示了 26 种 ARG 类型(510 种亚型),以多药、β-内酰胺类、氨基糖苷类、糖肽类、氟喹诺酮类和四环素类为主。冗余判别分析表明,水体环境中的抗生素(磺胺类和大环内酯类)以及沉积物中 TN 和 TP 是影响总 ARG 丰度分布的关键变量。然而,不同的 ARG 受不同的环境驱动因素和关键影响因素的影响。对于总 ARGs,影响其结构组成和分布特征的环境亚型主要是抗生素残留。普罗克斯特斯分析显示,调查区域沉积物中的 ARGs 与微生物群落之间存在显著相关性。网络分析显示,大多数目标 ARGs 与微生物呈显著正相关,少数 ARGs(如 rpoB、md tC 和 efpA)与微生物呈高度显著正相关(如 Knoellia、Tetrasphaera 和 Gemmatirosa)。主要 ARGs 的潜在宿主包括放线菌、变形菌和 Gemmatimonadetes。本研究提供了有关 ARG 分布和丰度及其发生和传播驱动因素的新见解和综合评估。

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