Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.
Nat Biotechnol. 2018 Feb;36(2):190-195. doi: 10.1038/nbt.4045. Epub 2018 Jan 1.
Small subunit ribosomal RNA (SSU rRNA) genes, 16S in bacteria and 18S in eukaryotes, have been the standard phylogenetic markers used to characterize microbial diversity and evolution for decades. However, the reference databases of full-length SSU rRNA gene sequences are skewed to well-studied ecosystems and subject to primer bias and chimerism, which results in an incomplete view of the diversity present in a sample. We combine poly(A)-tailing and reverse transcription of SSU rRNA molecules with synthetic long-read sequencing to generate high-quality, full-length SSU rRNA sequences, without primer bias, at high throughput. We apply our approach to samples from seven different ecosystems and obtain more than a million SSU rRNA sequences from all domains of life, with an estimated raw error rate of 0.17%. We observe a large proportion of novel diversity, including several deeply branching phylum-level lineages putatively related to the Asgard Archaea. Our approach will enable expansion of the SSU rRNA reference databases by orders of magnitude, and contribute to a comprehensive census of the tree of life.
小亚基核糖体 RNA(SSU rRNA)基因,细菌中的 16S 和真核生物中的 18S,几十年来一直是用于描述微生物多样性和进化的标准系统发育标记物。然而,全长 SSU rRNA 基因序列的参考数据库偏向于研究充分的生态系统,并且受到引物偏好和嵌合体的影响,这导致对样本中存在的多样性的观察不完整。我们将 SSU rRNA 分子的 poly(A)加尾和反转录与合成长读测序相结合,以高通量生成无引物偏好、高质量的全长 SSU rRNA 序列。我们将我们的方法应用于来自七个不同生态系统的样本,并从所有生命领域获得了超过一百万个 SSU rRNA 序列,估计原始错误率为 0.17%。我们观察到大量新的多样性,包括几个与 Asgard 古菌可能相关的深分支门级谱系。我们的方法将使 SSU rRNA 参考数据库的数量级扩展,并有助于全面普查生命之树。