Accurate characterization of Escherichia coli tRNA modifications with a simple method of deep-sequencing library preparation. Issue 1 (2nd January 2021)

• Record Type: Journal Article
• Authors: Wang, Ji; Toffano-Nioche, Claire; Lorieux, Florence; Gautheret, Daniel; Lehmann, Jean
• Is Part Of: RNA biology. Volume 18:Issue 1(2021)
• Page Start: 33
• Page End: 46
• Publication Date: 2021-01-02
• Subjects: tRNA sequencing -- deep-sequencing -- base modifications -- epitranscriptome; RNA -- Periodicals; Molecular biology -- Periodicals; Molecular biology; RNA; Periodicals; 572.8805
• DOI: 10.1080/15476286.2020.1790871
• Languages: English
• ISSNs: 1547-6286

Abstract

ABSTRACT: In conventional RNA high-throughput sequencing, modified bases prevent a large fraction of tRNA transcripts to be converted into cDNA libraries. Recent proposals aiming at resolving this issue take advantage of the interference of base modifications with RT enzymes to detect and identify them by establishing signals from aborted cDNA transcripts. Because some modifications, such as methyl groups, do almost not allow RT bypassing, demethylation and highly processive RT enzymes have been used to overcome these obstacles. Working with Escherichia coli as a model system, we show that with a conventional (albeit still engineered) RT enzyme and key optimizations in library preparation, all RT-impairing modifications can be highlighted along the entire tRNA length without demethylation procedure. This is achieved by combining deep-sequencing samples, which allows to establish aborted transcription signal of higher accuracy and reproducibility, with the potential for differentiating tiny differences in the state of modification of all cellular tRNAs. In addition, our protocol provides estimates of the relative tRNA abundance.