Genome-wide systematic identification of methyltransferase recognition and modification patternsShow others and affiliations
2019 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 10, article id 3311Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2019. Vol. 10, article id 3311
National Category
Medical Genetics and Genomics
Identifiers
URN: urn:nbn:se:uu:diva-393731DOI: 10.1038/s41467-019-11179-9ISI: 000481606300001PubMedID: 31427571OAI: oai:DiVA.org:uu-393731DiVA, id: diva2:1355551
Funder
EU, Horizon 2020Swedish Research CouncilNovo NordiskScience for Life Laboratory - a national resource center for high-throughput molecular bioscience2019-09-302019-09-302025-02-10Bibliographically approved