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通过使用深度学习技术,在用再生水补充的湖泊中识别携带ARG的菌体

Donglin Wang¹, Jiayu Shang², Hui Lin¹

¹Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.

|November 17, 2023

概括

菌体将抗生素耐药性基因 (ARG) 传递给病原体. 一个新的深度学习管道识别了携带ARG的菌体及其宿主,揭示了水生环境中ARG转移潜力的显著季节性变化.

科学领域:

环境微生物学环境微生物学
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

菌体 (菌体) 是横向基因转移的关键载体,包括抗生素耐药性基因 (ARG).
以前的方法很难量化菌体介导的ARG转移,特别是在病原体发育过程中.
了解菌体与宿主相互作用对于跟踪和减轻抗生素耐药性至关重要.

研究的目的:

开发基于深度学习的生物信息管道,用于识别携带ARG的菌体和预测它们的宿主,重点关注病原体.
为了研究再生水源湖中的菌体携带的ARG类型.
评估菌体将ARG转移到宿主病原体的潜力,并分析季节性变化.

主要方法:

开发一种新的深度学习管道,用于ARG携带的菌体和宿主预测.
对水生环境的metagenomic和metaviromic分析.
在的相关性分析和定量PCR (qPCR) 验证.
在菌体,染色体和等离子体上评估ARG的季节性丰度.

主要成果:

该管道确定了与多药性耐药性和温带菌体携带的β-乳糖抗生素相关的主要ARG.
具有毒性因子的元基因组组装基因组 (MAG) 被预测为宿主,表明ARG转移潜力.
证实了温带菌体和宿主病原体之间的显著正相关性.
观察到ARG携带菌体和染色体的季节性变化,而等离子体携带的ARG则保持稳定.

结论:

深度学习提供了一种强大的方法来分析菌体介导的ARG转移.
菌体有助于抗生素耐药性病原体的潜在发展.
通过这条管道增强的元基因组分析,为微生物风险评估和追踪ARG提供了有价值的工具.

关键词:

在 ARG 中,有 ARG 的存在.深度学习是一种深度学习.转基因组学是指转基因组学.菌体菌体是一种菌体.回收的水是回收的水.

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