对环境DNA的分类学赋值来解释遗传学定位
Isabelle Ewers1, Lubomír Rajter1,2, Lucas Czech3
1Eukaryotic Microbiology, Faculty of Biology, University of Duisburg-Essen, Essen, Germany.
The Journal of eukaryotic microbiology
|July 14, 2023
概括
通过比较环境DNA的分类学赋值方法,这项研究发现,操作分类学单位 (OTU) 和参考数据库之间的低相似性解释了对对对齐和基因排列的不同结果. 通过GAPPA进行进一步的分析,对多次安置的任务进行了细化.
科学领域:
- 生物信息学是一种生物信息学.
- 微生物生态学 微生物生态学
- 计算生物学 计算生物学
背景情况:
- 操作分类单位 (OTU) 的准确分类对分析环境测序数据至关重要.
- 配对对齐和族系定位是用于分类学赋值的常见生物信息学方法,但可以产生不同的结果.
研究的目的:
- 用VSEARCH (对对齐) 和EPA-ng (家族遗传定位) 来比较来自森林土壤的科尔波德状动物OTU的分类学分配.
- 在不同生物信息学方法之间出现差异时,评估分类学赋值的方法.
- 使用GAPPA.ng来展示EPA-ng输出的综合分析工作流程.
主要方法:
- 对由VSEARCH和EPA-ng生成的鱼类OTU产生的分类学赋值进行比较分析.
- 基于对比相似性对参考数据库的分类学赋值差异的评估.
- 应用GAPPA来通过考虑多个位置的概率权重和分支距离来完善EPA-ng分配.
主要成果:
- 在分类层层面上对对对齐和族系学定位之间的分类学分配的差异与OTU与参考数据库的低对对相似性相关.
- GAPPA有效地通过量化多个同样可能的位置的概率和系遗传距离来评估分类学赋值.
- 根据其精细的遗传学位置,推断了colpodean OTUs的进化和生态特征.
结论:
- 与参考数据库的低OTU相似性是对对齐和放置方法之间的分类学赋值差异的一个关键因素.
- EPA-ng和GAPPA的结合为准确的分类学分配和下游生态/进化分析提供了一个强大的框架.
- 了解分类特异性多样性对于充分解释分类遗传定位结果至关重要.
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