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一个WGS工作流程,用于识别转基因和食源性病原菌菌的分离物

Maxime Godfroid¹, Alexander Van Uffelen^1,2,3, Marie-Alice Fraiture¹

¹Transversal activities in Applied Genomics, Sciensano, J. Wytmanstraat 14, 1050 Brussels, Belgium.

Food chemistry. Molecular sciences

|January 7, 2026

概括

一个新的生物信息工作流程使用全基因组测序 (WGS) 识别转基因微生物 (GMM) 和Bacillus属的食物传播病原体. 这种工具有助于监管合规,并通过准确表征细菌菌株来提高食品安全.

科学领域:

微生物学微生物学
生物信息学是一种生物信息学.
食品安全食品安全

背景情况:

食品和料中的细菌污染对公众健康构成重大风险.
转基因微生物 (GMM) 和产生毒素的细菌,如Bacillus cereus,可以在生产过程中污染食物.
全基因组测序 (WGS) 对于病原体检测至关重要,但它对转基因生物的应用需要专注的研究.

研究的目的:

开发和验证基于WGS的生物信息工作流程,用于表征Bacillus subtilis组 (包括GMM) 和Bacillus cereus组分离物.
通过识别转基因元素和宿主菌株,实施一种用于检测已知的转基因生物的新方法.
确保工作流程与EFSA在食品链中的微生物表征指南保持一致.

主要方法:

开发了一个基于WGS的生物信息工作流程,支持短读 (Illumina) 和长读 (牛津纳米孔技术) 数据.
工作流程包括质量检查,分类识别和查抗菌素耐药性,毒性基因和移动遗传元素.
创建了一个特定的模块,用于基于转基因元素和宿主菌株识别来检测已知的转基因生物.

主要成果:

工作流程准确地识别了已知的转基因细菌菌株,而没有错误地分类野生型菌株.
公开可用的数据集证实了工作流能够准确地描述和识别Bacillus cereus组内的亚种.
该系统有效地选抗微生物耐药性,毒性因素和移动遗传元素.

结论:

开发的自动化工作流提供了一种可靠的解决方案,用于检测已知的转基因生物和Bacillus属内的食源性病原体.
该工具支持监管合规,并通过增强微生物表征能力,有助于确保食品安全.
该工作流程代表了应用WGS在食品链中进行全面细菌分析的重大进步.

关键词:

细菌花的花类植物.这种细菌是 Bacillus subtilis.生物信息学工作流程食品安全食品安全转基因微生物 (GMM) 是一种转基因微生物.监督监督监督监督监督监督监督监督监督监督监督监督

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