使用下一代测序预测来自食品和食品加工环境的Listeria monocytogenes中的抗生素耐药性:系统性审查
Patryk Wiśniewski1, Patryk Adamski1, Miłosz Trymers1
1Department of Food Microbiology, Meat Technology and Chemistry, Faculty of Food Science, University of Warmia and Mazury, Plac Cieszyński 1, 10-726 Olsztyn, Poland.
International journal of molecular sciences
|October 29, 2025
概括
下一代测序 (NGS) 能够有效地检测食物传播的Listeria monocytogenes中的抗生素耐药性基因. 虽然通常是准确的,但将NGS与表型测试相结合对于可靠的抗性预测至关重要.
科学领域:
- 食品安全 食品安全
- 微生物学 微生物学
- 基因组学就是基因组学.
背景情况:
- 李斯特菌 (Listeria monocytogenes) 是一种重要的食物传播病原体.
- 在L. monocytogenes中抗菌耐药性构成公共卫生风险.
- 下一代测序 (NGS) 是识别耐药基因的关键工具.
研究的目的:
- 系统地审查使用NGS来表征来自食品环境的L. monocytogenes的抗生素耐药性.
- 评估基于NGS的耐药性检测与表型数据的可靠性和一致性.
主要方法:
- 按照PRISMA 2020指南进行系统的文献搜索 (PubMed,科学网,Scopus).
- 包括2015-2024年期间发表的58项使用第二代和/或第三代测序的研究.
- 对抗性决定因素,一致率和常见生物信息学工具的分析.
主要成果:
- NGS可靠地检测到复发性和获得性耐药性决定因素,如fosX,lin,norB和四环素基因 (tetM).
- 对于大多数获得的抗药性,观察到高基因型-表型一致性 (>99%),但需要注意例外情况.
- 通常使用的NGS平台包括Illumina短读,随着长读技术的日益使用.
结论:
- NGS是监测和追踪L. monocytogenes抗生素耐药性的强大工具.
- 准确预测表型耐药性需要与表型测试和标准化报告进行整合.
- 在表型报告,数据库覆盖和基因表达分析方面的差距需要解决.
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