Snapper: a high-sensitive algorithm to detect methylation motifs based on Oxford Nanopore reads

Konanov, D. N.; Babenko, V. N.; Belova, A. M.; Madan, A. G.; Boldyreva, D. I.; Glushchenko, O. E.; Butenko, I. O.; Fedorov, D. E.; Manolov, A. I.; Lazarev, V. N.; Govorun, V. M.; Ilina, E. N.

doi:10.1101/2022.11.15.516621

bioRxiv · 10.1101/2022.11.15.516621

Snapper: a high-sensitive algorithm to detect methylation motifs based on Oxford Nanopore reads

Konanov, D. N.·Babenko, V. N.·Belova, A. M.·Madan, A. G.·Boldyreva, D. I.·Glushchenko, O. E.·Butenko, I. O.·Fedorov, D. E.·Manolov, A. I.·Lazarev, V. N.·Govorun, V. M.·Ilina, E. N.

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Abstract

The Oxford Nanopore technology has a great potential for the analysis of genome methylation, including full-genome methylome profiling. However, there are certain issues while identifying methylation motif sequences caused by low sensitivity of the currently available motif enrichment algorithms. Here, we present Snapper, a new highly-sensitive approach to extract methylation motif sequences based on a greedy motif selection algorithm. Snapper has shown higher enrichment sensitivity compared with the MEME tool coupled with Tombo or Nanodisco instruments, which was demonstrated on H. pylori strain J99 studied earlier using the PacBio technology. In addition, we used Snapper to characterize the total methylome of a new H.pylori strain A45. The analysis revealed the presence of at least 4 methylation sites that have not been described for H. pylori earlier. We experimentally confirmed a new CCAG-specific methyltransferase and indirectly inferred a new CCAAK-specific methyltransferase.

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Konanov, D. N., Babenko, V. N., Belova, A. M., Madan, A. G., Boldyreva, D. I., Glushchenko, O. E., Butenko, I. O., Fedorov, D. E., Manolov, A. I., Lazarev, V. N., Govorun, V. M., Ilina, E. N.. 2022-11-17. Snapper: a high-sensitive algorithm to detect methylation motifs based on Oxford Nanopore reads. https://doi.org/10.1101/2022.11.15.516621

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