用于研究环境中的抗生素耐药性基因的甲基因组下一代测序
1Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI, United States.
Advances in applied microbiology
|July 3, 2023
概括
抗微生物耐药性基因 (ARG) 构成了重大威胁. 下一代测序 (NGS) 和生物信息学工具提供了强大的方法来跟踪环境样本中的ARG,帮助风险评估和控制.
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:
- 细菌抗微生物药物耐药性 (AMR) 是一个日益严重的全球健康问题.
- 在环境中对抗生素耐药性基因 (ARG) 的表征对于管理微生物风险至关重要.
- 现有的监测方法在多样性,丰富性,宿主连接,吞吐量,移动性评估和决定性识别方面面临挑战.
研究的目的:
- 讨论基于下一代测序 (NGS) 的策略,用于在环境样本中识别和描述ARG.
- 突出计算和生物信息工具在ARG分析中的作用.
- 为研究环境ARG提供当前方法的概述.
主要方法:
- 综述各种基于NGS的策略:安普利康测序,全基因组测序,向的元基因组测序,元基因组NGS,定量元基因组测序和功能/表型元基因组测序.
- 讨论用于分析测序数据的生物信息工具.
- 专注于环境样本分析.
主要成果:
- NGS技术和生物信息学工具有助于快速识别和描述ARG.
- 各种NGS方法可以在复杂的环境微生物组中全面研究ARG.
- 生物信息工具对于解释大规模测序数据至关重要.
结论:
- 基于NGS的策略为环境ARG监测提供了可靠的方法.
- 测序和生物信息学的进步对于理解和控制ARG相关风险至关重要.
- 需要综合的方法来克服ARG表征的现有挑战.
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