单一实验室评估Q20+纳米孔测序套件用于细菌疫情调查
Maria Hoffmann1, Jay Hee Jang1, Sandra M Tallent1
1Genomics Development and Applications Branch, Division of Food Safety Genomics, Office of Applied Microbiology and Technology, Office of Laboratory Operations and Applied Science, Human Foods Program, Food & Drug Administration, College Park, MD 20740, USA.
International journal of molecular sciences
|November 27, 2024
概括
牛津纳米孔技术 (ONT) Q20+测序提供了一种快速,具有成本效益的方法,用于在食物传播疫情中识别产生Shiga毒素的大肠杆菌 (STEC). 这项技术显示了近乎实时的病原体识别潜力,改善了公共卫生监测.
科学领域:
- 食品安全微生物学 食品安全微生物学
- 基因组监测是指基因组的监测.
- 下一代测序技术是下一代的测序技术.
背景情况:
- 绿叶蔬菜是与农产品相关的滋果毒素产生大肠杆菌 (STEC) 爆发的常见来源.
- 目前的FDA疫情检测方法耗时且昂贵.
研究的目的:
- 评估牛津纳米孔技术 (ONT) Q20+化学作为一种快速,具有成本效益的方法,用于识别和聚类食源性病原体.
- 评估ONT在近乎实时的病原体识别方面的潜力,包括SNP差异,血清型和抗菌素耐药性基因.
主要方法:
- 试点研究使用五种经过良好表征的食物传播病原体菌株.
- 评估两个DNA提取方法 (马克斯韦尔RSC,君主) 和两个ONT库准备协议 (结合,快速条形码).
- 对物种,基因型和毒性因子识别的测序数据的in silico分析;家族基因组聚类.
主要成果:
- 从所有提取和测序套件组合中获得了高质量的,封闭的细菌基因组.
- ONT Q20+精确识别了物种,基因型和毒性因子,与Illumina测序相似.
- 基因组聚类显示了ONT组合与参考基因组组合在一起,观察到微小的indels/SNP差异.
结论:
- 在食品传播疫情调查中,ONT Q20+纳米孔测序化学表明了快速菌株识别的潜力.
- 需要进一步的研究和优化来解决局限性,并充分实现该技术的公共卫生益处.
- 该研究为评估用于食品传播病原体监测的新技术提供了一个框架.
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