牙斑块微生物群序列计数用于微生物分析和抗性基因检测
Laura Veschetti1, Salvatore Paiella2, Maria Carelli3
1Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Applied microbiology and biotechnology
|May 6, 2024
概括
优化猎枪元基因组测序对于准确的口腔微生物组分析至关重要. 这项研究表明,对分类学分析的读数为4000万次,对抗菌素耐药性基因识别的读数为2000万次,以最大限度地提高数据的意义.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 枪式转基因组学被广泛应用,但缺乏对分类分析和抗菌素耐药性基因 (ARG) 检测的测序深度的明确指导方针.
- 口腔微生物群研究需要足够的测序数据来可靠地识别微生物和ARG分析.
研究的目的:
- 在口腔微生物群分析中确定最佳测序深度,以实现射门甲基因组学.
- 评估测序量对分类学概况和ARG检测准确性的影响.
主要方法:
- 低采样高覆盖率 (大约. 人类斑块样本和微生物社区标准.
- 分析微生物物种识别,丰富度估计和ARG在不同读数的存在/缺席.
主要成果:
- 分类学概况显示了物种识别和丰度的差异,特别是低于4000万读数,表明了概况方法的局限性.
- 抗微生物药物耐药性基因检测受到显著影响,超过一半的读数不足2000万次,23%的读数显示存在/缺失不一致.
- 推序列号:40万用于微生物群分析,500万用于低丰度物种检测,20万用于ARG识别.
结论:
- 测序深度极大地影响了定性元基因组数据,特别是在4000万次阅读以下.
- 丰度估计对读数的敏感性较低,尽管低丰度物种的检测受益于更高的覆盖范围.
- 根据口腔微生物组中遗传学研究的主要分析目标,建议采用特定的测序深度.
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