考虑到16SrRNA复制数预测的不确定性及其对细菌多样性分析的影响
1Department of Biology, University of Virginia, 485 McCormick Road, Charlottesville, VA, 22904, USA.
ISME communications
|June 10, 2023
概括
16S rRNA基因拷贝数 (16S GCN) 变异可能会导致微生物多样性研究的偏差. 我们的新方法RasperGade16S准确地预测了16S GCN,具有强大的信心,改进了社区分析.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 16S rRNA基因拷贝数 (16S GCN) 在不同细菌物种之间有所不同.
- 这种变异可以在依赖16S rRNA读数的微生物多样性分析中引入偏差.
- 预测16S GCN的现有方法可能具有很高的不确定性,质疑复制号码校正的实用性.
研究的目的:
- 开发一种新的方法和软件,RasperGade16S,用于改进16S GCN预测中的建模和捕捉不确定性.
- 为16S GCN预测提供可靠的信心估计.
- 评估16S GCN校正对微生物群体分析的影响.
主要方法:
- 实现了一个最大概率框架,使用脉冲进化模型.
- 显式解释了物种内GCN变化和异质GCN演变速率.
- 利用交叉验证进行性能评估,并对各种细菌群体进行了测试.
主要成果:
- RasperGade16S提供了可靠的信心估计,在精度和回忆方面超过现有方法.
- 发现99%的测试社区的预测不确定性很小,支持使用16S GCN校正.
- 16S GCN变异对β多样性分析的影响有限 (例如,PCoA,NMDS,PERMANOVA).
结论:
- RasperGade16S提供了一种可靠的方法来预测16S GCN,并解决微生物多样性研究中的偏见.
- 对于大多数社区来说,16S GCN 校正是合理的,并且可以改善组合和功能配置.
- 虽然对α-多样性和组成很重要,但GCN变异对常见β-多样性指标的影响很小.
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