Nanopore-based native RNA sequencing provides insights into prokaryotic transcription, operon structures, rRNA maturation and modifications
Grünberger, F.; Knüppel, R.; Jüttner, M.; Fenk, M.; Borst, A.; Reichelt, R.; Soppa, J.; Ferreira-Cerca, S.; Grohmann, D.
Show abstract
The prokaryotic transcriptome is shaped by transcriptional and posttranscriptional events that define the characteristics of an RNA, including transcript boundaries, the base modification status, and processing pathways to yield mature RNAs. Currently, a combination of several specialised short-read sequencing approaches and additional biochemical experiments are required to describe all transcriptomic features. In this study, we present native RNA sequencing of bacterial (E. coli) and archaeal (H. volcanii, P. furiosus) transcriptomes employing the Oxford Nanopore sequencing technology. Based on this approach, we could address multiple transcriptomic characteristics simultaneously with single-molecule resolution. Taking advantage of long RNA reads provided by the Nanopore platform, we could (re-)annotate large transcriptional units and boundaries. Our analysis of transcription termination sites suggests that diverse termination mechanisms are in place in archaea. Moreover, we shed additional light on the poorly understood rRNA processing pathway in Archaea. One of the key features of native RNA sequencing is that RNA modifications are retained. We could confirm this ability by analysing the well-known KsgA-dependent methylation sites and mapping of N4-acetylcytosines modifications in rRNAs. Notably, we were able to follow the relative timely order of the installation of these modifications in the rRNA processing pathway.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- INRI-seq enables global cell-free analysis of translation initiation and off-target effects of antisense inhibitors 96%
- MoDorado: Enhanced detection of tRNA modifications in nanopore sequencing by off-label use of modification callers 96%
- ModiDeC: a multi-RNA modification classifier for direct nanopore sequencing 96%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.