来自食物传播疫情的Clostridium perfringens分离体的特征和比较基因组分析
Jiwei Liang1, Juping Shi2, Lan Xu2
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
International journal of food microbiology
|January 10, 2026
概括
这项研究调查了由Clostridium perfringens引起的食物传播疫情,使用全基因组测序 (WGS) 精确追踪来源. 粮食系统发现了粮食来源与临床病例之间的直接联系,改善了食品安全监督.
科学领域:
- 食品微生物学 食品微生物学
- 基因组学就是基因组学.
- 流行病学 流行病学
背景情况:
- 杆菌 (Clostridium perfringens) 是食物传播疾病的常见原因.
- 调查食源性疫情对公共卫生至关重要.
- 分子类型识别有助于识别病原体来源.
研究的目的:
- 为了调查与集体餐饮有关的食物传播疫情.
- 为了确定Clostridium perfringens分离的遗传关系.
- 评估全基因组测序 (WGS) 在疫情调查中的有效性.
主要方法:
- 收集了25个来自各种来源 (食物,环境,处理者,患者) 的Clostridium perfringens分离物.
- 进行了多位置序列类型化 (MLST),核心基因组MLST (cgMLST) 和单核酸多态化 (SNP) 分析.
- 使用全基因组测序 (WGS) 来进行高分辨率的类型化.
主要成果:
- MLST确定了18种序列类型 (ST),其中包括14种新型.
- WGS揭示了分离物之间的遗传多样性;F型菌株是同质的,A型菌株是异质的.
- 高分辨率cgSNP分析显示,食品和临床分离物之间存在密切的基因组联系 (15-50个SNP),特别是子和一个临床病例 (15个SNP).
结论:
- WGS为食品传播疫情调查和精确来源追踪提供了卓越的分辨率.
- 将基因组学整合到食品安全监测中可以改善疫情应对和公共卫生.
- 该研究确定了特定食品和临床病例之间的潜在流行病学联系.
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