来自安大略省的废水样本中的SARS-CoV-2突变频率的时空结构
Paula Magbor1, William Z Wang1, Gopi Gugan1
1Department of Pathology and Laboratory Medicine, Western University, London, Canada.
PloS one
|October 16, 2025
概括
这项研究引入了一种新的方法,使用废水监测中的突变频率来追踪SARS-CoV-2 (严重急性呼吸系统综合征冠状病毒2) 的进化. 该方法有效地揭示了整个安大略省病毒变异的时间和空间模式.
科学领域:
- 环境微生物学环境微生物学
- 基因组学就是基因组学.
- 流行病学 流行病学
背景情况:
- 废水监测对于监测SARS-CoV-2等传染病至关重要.
- 下一代测序 (NGS) 提供了有价值的数据,但碎片化的序列给分析带来了挑战.
- 现有的方法通常需要全长的基因组,限制对异质废水数据的分析.
研究的目的:
- 评估突变频率载体的内部产物作为分析SARS-CoV-2废水监测数据的方法.
- 使用这种新的方法量化病毒基因组变异的时间和空间结构.
- 评估在省级范围内测量SARS-CoV-2废水样本中的基因差异化的可行性.
主要方法:
- 从2021年10月到2023年6月使用NGS处理了1,619个SARS-CoV-2废水样本.
- 过的序列数据质量,覆盖率 (>100次阅读) 和突变频率 (>1%).
- 基于样本对之间的突变频率向量的内乘积计算的共弦距离.
主要成果:
- 鉴定了病毒进化中的显著时间结构,这是由令人担忧的变种传播所驱动的.
- 证明了基因相似性和地理距离之间的负相关性,表明空间差异化.
- 在安大略省的SARS-CoV-2废水中成功测量了基因组变异模式.
结论:
- 突变频率的内部产物是分析废水中碎片化的SARS-CoV-2基因组数据的可行方法.
- 这种方法可以有效地捕捉病毒传播的时间动态和空间模式.
- 使用突变频率分析的废水监测提供了对区域一级病原体演变的见解.
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