European Molecular Biology Laboratory, Meyerhofstr. 1, 69117, Heidelberg, Germany.
Daniel K. Inouye Center for Microbial Oceanography Research and Education, University of Hawai'i at Mānoa, 1950 East West Road, Honolulu, USA, 96822, United States.
Nat Commun. 2019 Mar 4;10(1):1014. doi: 10.1038/s41467-019-08844-4.
Metagenomic sequencing has greatly improved our ability to profile the composition of environmental and host-associated microbial communities. However, the dependency of most methods on reference genomes, which are currently unavailable for a substantial fraction of microbial species, introduces estimation biases. We present an updated and functionally extended tool based on universal (i.e., reference-independent), phylogenetic marker gene (MG)-based operational taxonomic units (mOTUs) enabling the profiling of >7700 microbial species. As more than 30% of them could not previously be quantified at this taxonomic resolution, relative abundance estimates based on mOTUs are more accurate compared to other methods. As a new feature, we show that mOTUs, which are based on essential housekeeping genes, are demonstrably well-suited for quantification of basal transcriptional activity of community members. Furthermore, single nucleotide variation profiles estimated using mOTUs reflect those from whole genomes, which allows for comparing microbial strain populations (e.g., across different human body sites).
宏基因组测序极大地提高了我们对环境和宿主相关微生物群落组成进行分析的能力。然而,大多数方法依赖于参考基因组,而目前微生物物种的很大一部分都没有参考基因组,这引入了估计偏差。我们提出了一个更新的、功能扩展的工具,该工具基于通用(即无参考)的、基于系统发育标记基因(MG)的操作分类单元(mOTU),能够对>7700 种微生物物种进行分析。由于在此分类分辨率下以前无法对其中超过 30%的物种进行定量,因此基于 mOTU 的相对丰度估计比其他方法更准确。作为一个新特性,我们表明,基于必需的管家基因的 mOTU 非常适合量化群落成员的基本转录活性。此外,使用 mOTU 估计的单核苷酸变异谱反映了来自全基因组的谱,这允许比较微生物菌株群体(例如,不同的人体部位)。