使用深度测序基因组监测数据推断细菌传播动态
Madikay Senghore1, Hannah Read2, Priyali Oza2
1Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. msenghore@hsph.harvard.edu.
Nature communications
|November 1, 2023
概括
使用深度测序追踪病原体多样性有助于识别传染病传播对. 主体内部单核酸变体 (iSNVs) 的等位基频率准确地推断出传播链接,揭示了瓶效应.
科学领域:
- 微生物学 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:
- 识别传染病传播链对于控制至关重要.
- 主体内病原体变异是推断传播事件的未充分利用的标记.
- 存在有限的数据集,捕捉了捐赠者和接受者宿主中的病原体多样性.
研究的目的:
- 评估深度测序基因组监测对识别传播对的有用性.
- 开发一种模型,根据病原体遗传变异推断传播可能性.
- 调查宿主内部变异和传输瓶的作用.
主要方法:
- 利用小鼠模型对Citrobacter rodentium的受控传播进行了研究.
- 采用深度测序基因组监测来分析病原体多样性.
- 检查了宿主内部的单核酸变异 (iSNVs) 和它们的等位素频率.
主要成果:
- 宿主内部单核酸变体 (iSNVs) 在多个传播步骤中保持.
- 开发了一个模型,使用iSNV数据推断传输对的概率.
- 对iSNVs的等位基频率差异提供了比单独的存在/缺席更精确的传输对推断.
- 传输瓶被证明在保持宿主内部多样性方面发挥着关键作用.
结论:
- 深度测序基因组监测对于识别病原体传播对是有效的.
- 主体内部变异的等位频率提供了一个精确的方法来推断传输链接.
- 了解传播期间的病原体多样性动态对于疾病控制策略至关重要.
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