微生物群
仿形(计算机编程)
计算生物学
计算机科学
人体微生物群
DNA测序
组合性原则
相对物种丰度
基因组
生物
生物信息学
丰度(生态学)
数据科学
数据挖掘
生态学
DNA
遗传学
人工智能
操作系统
基因
作者
Ching Jian,Panu K. Luukkonen,Hannele Yki‐Järvinen,Anne Salonen,Katri Korpela
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2020-01-15
卷期号:15 (1): e0227285-e0227285
被引量:300
标识
DOI:10.1371/journal.pone.0227285
摘要
The use of relative abundance data from next generation sequencing (NGS) can lead to misinterpretations of microbial community structures, as the increase of one taxon leads to the concurrent decrease of the other(s) in compositional data. Although different DNA- and cell-based methods as well as statistical approaches have been developed to overcome the compositionality problem, and the biological relevance of absolute bacterial abundances has been demonstrated, the human microbiome research has not yet adopted these methods, likely due to feasibility issues. Here, we describe how quantitative PCR (qPCR) done in parallel to NGS library preparation provides an accurate estimation of absolute taxon abundances from NGS data and hence provides an attainable solution to compositionality in high-throughput microbiome analyses. The advantages and potential challenges of the method are also discussed.
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