Genome-wide systematic identification of methyltransferase recognition and modification patterns

Torbjørn Ølshøj Jensen, Christian Tellgren-Roth, Stephanie Redl, Jérôme Maury, Simo Abdessamad Baallal Jacobsen, Lasse Ebdrup Pedersen and Alex Toftgaard Nielsen ()
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Torbjørn Ølshøj Jensen: Technical University of Denmark (DTU)
Christian Tellgren-Roth: National Genomics Infrastructure, SciLifeLab
Stephanie Redl: Technical University of Denmark (DTU)
Jérôme Maury: Technical University of Denmark (DTU)
Simo Abdessamad Baallal Jacobsen: Technical University of Denmark (DTU)
Lasse Ebdrup Pedersen: Technical University of Denmark (DTU)
Alex Toftgaard Nielsen: Technical University of Denmark (DTU)

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract Genome-wide analysis of DNA methylation patterns using single molecule real-time DNA sequencing has boosted the number of publicly available methylomes. However, there is a lack of tools coupling methylation patterns and the corresponding methyltransferase genes. Here we demonstrate a high-throughput method for coupling methyltransferases with their respective motifs, using automated cloning and analysing the methyltransferases in vectors carrying a strain-specific cassette containing all potential target sites. To validate the method, we analyse the genomes of the thermophile Moorella thermoacetica and the mesophile Acetobacterium woodii, two acetogenic bacteria having substantially modified genomes with 12 methylation motifs and a total of 23 methyltransferase genes. Using our method, we characterize the 23 methyltransferases, assign motifs to the respective enzymes and verify activity for 11 of the 12 motifs.

Date: 2019
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DOI: 10.1038/s41467-019-11179-9

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