针对Enterococcus faecium和Enterococcus lactis的病毒性寻找器:通过使用全基因组测序数据来检测假定病毒性标记物的增强数据库
Louise Roer1, Hülya Kaya1, Ana P Tedim2,3
1Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.
Microbiology spectrum
|February 8, 2024
概括
一个包含27种毒性标记的新数据库有助于区分与医院相关的菌菌和乳糖菌. 该工具增强了用于公共卫生应用的WGS数据分析.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 传染性疾病 传染性疾病
背景情况:
- 肠球菌 (Enterococcus faecium,Efm) 是医院相关感染的主要原因,通常与特定的毒性标志物有关.
- 最近发现的一种类型,Enterococcus lactis (Elts),通常缺乏这些标记物,使物种识别复杂化.
- 现有的毒性标记数据库是不完整的,并且混合了来自不同肠球菌物种的基因.
研究的目的:
- 为Efm和Elts建立和验证一个包含27个假定毒性标记 (PVM) 的综合数据库.
- 为了能够使用全基因组测序 (WGS) 数据,精确地区分Efm和Elts.
- 支持公共卫生倡议,如诊断和疫情调查.
主要方法:
- 使用Efm和Elts的参考基因组构建了27个PVM的精心策划的数据库.
- 该数据库与参考基因组进行了验证,并描述了Efm (n=43) 和Elts (n=7) 菌株.
- 基于单核酸多态的基因组系构造与in silico PVM发现进行了比较.
主要成果:
- 在基因组分化和PVM资料之间观察到很高的一致性.
- 埃尔特人菌株分别聚集,主要携带埃尔特人特有的PVM基因变异.
- 建议使用数据库进行原始读取,而不是组装,以捕获基因变异.
结论:
- 新的27-PVM数据库提供了一个可扩展和全面的工具,用于通过WGS来表征Efm和Elts.
- 这种资源对公共卫生有价值,有助于诊断,疫情调查和风险评估.
- 该数据库有助于区分致病性和非致病性肠球菌.
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