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Genome-Wide Profiling of tRNA Using an Unexplored Reverse Transcriptase with High Processivity

Nakano, Y.; Gamper, H.; McGuigan, H.; Maharjan, S.; Sun, Z.; Krishnan, K.; Yigit, E.; Li, N.-S.; Piccirilli, J. A.; Kleiner, R. E.; Nichols, N.; Hou, Y.-M.

2023-12-09 genomics
10.1101/2023.12.09.569604 bioRxiv
Show abstract

Monitoring the dynamic changes of cellular tRNA pools is challenging, due to the extensive post-transcriptional modifications of individual species. The most critical component in tRNAseq is a processive reverse transcriptase (RT) that can read through each modification with high efficiency. Here we show that the recently developed group-II intron RT Induro has the processivity and efficiency necessary to profile tRNA dynamics. Using our Induro-tRNAseq, simpler and more comprehensive than the best methods to date, we show that Induro progressively increases readthrough of tRNA over time and that the mechanism of increase is selective removal of RT stops, without altering the misincorporation frequency. We provide a parallel dataset of the misincorporation profile of Induro relative to the related TGIRT RT to facilitate the prediction of non-annotated modifications. We report an unexpected modification profile among human proline isoacceptors, absent from mouse and lower eukaryotes, that indicates new biology of decoding proline codons.

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