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采用宏基因组学方法探究河流水体和底泥中抗生素耐药基因谱的差异。

Exploring the differences of antibiotic resistance genes profiles between river surface water and sediments using metagenomic approach.

机构信息

School of Marine Sciences, Sun Yat-sen University, Guangzhou 510006, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China.

School of Marine Sciences, Sun Yat-sen University, Guangzhou 510006, China.

出版信息

Ecotoxicol Environ Saf. 2018 Oct;161:64-69. doi: 10.1016/j.ecoenv.2018.05.044. Epub 2018 May 30.

DOI:10.1016/j.ecoenv.2018.05.044
PMID:29859409
Abstract

To better understand the potential genic communication and dissemination of antibiotic resistance genes (ARGs) in different environmental matrices, the differences of ARG profiles between river surface water and sediments were explored. Metagenomic analysis was applied to investigate the comprehensive ARG profiles in water and sediment samples collected from the highly human-impacted catchment of the Beijiang River and its river source. A total of 135 ARG subtypes belonging to 18 ARG types were identified. Generally, ARGs in surface water were more diverse and abundant than those in sediments. ARG profiles in the surface water and sediment samples were distinct from each other, but some ARGs were shared by the surface water and sediments. Results revealed that multidrug and bacitracin resistance genes were the predominant ARGs types in both surface water (0.30, 0.17 copies/cell) and sediments (0.19, 0.15 copies/cell). 73 ARG subtypes were shared by the water and sediment samples and had taken over 90% of the total detected ARG abundance. Most of the shared ARGs are resistant to the clinically relevant antibiotics. Furthermore, significant correlations between the ARGs and 21 shared genera or mobile genetic elements (MGEs) (plasmids and integrons) were found in surface water and sediments, suggesting the important role of genera or MGEs in shaping ARGs profiles, propagation and distribution. These findings provide deeper insight into mitigating the propagation of ARGs and the associated risks to public health.

摘要

为了更好地理解抗生素耐药基因(ARGs)在不同环境基质中的潜在基因交流和传播,本研究探讨了河流水体和沉积物中 ARG 谱的差异。本研究应用宏基因组学分析方法,调查了来自受人类活动强烈影响的北江流域及其河源的水体和沉积物样本中的综合 ARG 谱。共鉴定出 135 种属于 18 种 ARG 类型的 ARG 亚型。一般来说,水体中的 ARG 比沉积物中的更丰富多样。水体和沉积物样本中的 ARG 谱彼此明显不同,但有些 ARG 是水体和沉积物共有的。结果表明,多药和杆菌肽耐药基因是水体(0.30、0.17 拷贝/细胞)和沉积物(0.19、0.15 拷贝/细胞)中主要的 ARG 类型。有 73 种 ARG 亚型在水和沉积物样本中共有,占总检测到的 ARG 丰度的 90%以上。大多数共有 ARG 对临床相关抗生素具有抗性。此外,在水体和沉积物中发现 ARGs 与 21 个共有属或移动遗传元件(MGEs)(质粒和整合子)之间存在显著相关性,这表明属或 MGEs 在塑造 ARGs 谱、传播和分布方面发挥了重要作用。这些发现为减轻 ARGs 的传播及其对公众健康的相关风险提供了更深入的认识。

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