微生物病原体流行病学全基因组短读和长读测序的比较
Andrea M Schiffer1, Arafat Rahman1, Wendy Sutton1
1Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon, USA.
mSystems
|November 12, 2025
概括
牛津纳米孔长读数为病原体基因组学和流行病学提供准确的全基因组测序. 长读数的碎片化提高了变量调用准确度,使它们与人口研究中的短读数相比较.
科学领域:
- 微生物基因组学 微生物基因组学
- 病原体的进化 病原体的进化
- 基因组流行病学 基因组流行病学
背景情况:
- 全基因组测序对于病原体的表征,进化和流行病学至关重要.
- 牛津纳米孔长读测序提供了改进基因组组件的潜力,但需要验证准确性.
- 现有的变量调用管道主要设计用于Illumina短读.
研究的目的:
- 为了比较牛津纳米孔长读数与Illumina短读数的精度,用于细菌基因组组装和变异调用.
- 评估不同的生物信息学管道来分析纳米孔数据.
- 确定在微生物种群研究中利用长读测序的最佳策略.
主要方法:
- 对于植物病原性 * Agrobacterium * 菌株,生成配对的短读 (Illumina) 和长读 (Oxford Nanopore) 数据.
- 使用多个已建立的短读和长读生物信息学管道分析数据.
- 在读取类型和管道之间比较基因组组装的完整性,准确性和变异调用/基因型化性能.
主要成果:
- 长读组合比短读组合更完整,错误也更少.
- 变体调用准确度在管道之间有所不同;碎片化长读数提高了性能.
- 短读管道,当应用到碎片长读时,显示出高精度的基因型恢复.
- 使用相同的管道对短读和长读数据进行组合分析是可行的.
结论:
- 牛津纳米孔测序对于微生物病原体基因组学和流行病学来说足够准确.
- 长时间阅读的计算碎片化提高了人口研究的变量调用准确性.
- 纳米孔技术为短读提供了可行的替代方案,改善了基因组组装和流行病学见解.
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