在医院疫情调查中识别Candida auris传播,使用全基因组测序和SNP遗传学分析
Brooks I Mitchell1,2, Kendall Kling1,2,3, Maureen K Bolon3,4
1Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Journal of clinical microbiology
|September 16, 2024
概括
在医院的Candida auris传播可以使用全基因组测序 (WGS) 和单核酸多态 (SNP) 分析来追踪. 一个0-13SNP变异范围有效地识别了在爆发期间相关的C. auris分离物.
科学领域:
- 医学微生物学 医学微生物学
- 基因组学就是基因组学.
- 传染病流行病学 传染病流行病学
背景情况:
- 黄是一种严重的全球健康威胁,导致频繁的医疗保健相关的疫情.
- 准确的菌株类型确定对于了解和控制C. auris传播至关重要.
- 目前,对于C. auris医院爆发的标准化遗传关系值缺乏.
研究的目的:
- 通过全基因组测序 (WGS) 和单核酸多态 (SNP) 遗传学分析,研究本地Candida auris分离物中的遗传变异.
- 建立可靠的SNP变异范围,用于在医院环境中识别C. auris传播.
- 评估WGS SNP分析在疫情调查中的有用性.
主要方法:
- 全基因组测序 (WGS) 在74个Candida auris分离物上进行.
- 使用QIAGEN CLC Genomics Workbench进行了单核酸多态 (SNP) 遗传学分析.
- 分析了患者群体内和之间的遗传多样性,包括与疫情相关的样本.
主要成果:
- 74个分离物中的71个属于Clade IV.
- 0-13个SNP的SNP变异范围被确定为相关C. auris分离物的指示.
- 最近一次疫情爆发期间的遗传学分析揭示了与流行病学数据相关的两个不同的群体.
结论:
- 确定特定的SNP变异范围对于将WGS SNP的遗传学分析应用于C. auris疫情调查至关重要.
- 使用CLC Genomics Workbench的WGS SNP遗传学分析是临床微生物学中C. auris类型的宝贵工具.
- 这种方法有助于准确识别医疗机构内Candida auris的传播途径.
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