<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yang W</submitter><funding>Bill &amp; Melinda Gates Foundation</funding><funding>Bill &amp;amp; Melinda Gates Foundation</funding><funding>NIAID NIH HHS</funding><funding>New England Biolabs, Inc.</funding><funding>NIH</funding><funding>NIH HHS</funding><pagination>gkaf226</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11954522</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>53(6)</volume><pubmed_abstract>Methylation patterns in bacteria can be used to study restriction-modification or other defense systems with novel properties. While m4C and m6A methylation are well characterized mainly through PacBio sequencing, the landscape of m5C methylation is under-characterized. To bridge this gap, we performed RIMS-seq2 (rapid identification of methyltransferase specificity sequencing) on microbiomes composed of resolved assemblies of distinct genomes through proximity ligation. This high-throughput approach enables the identification of m5C methylated motifs and links them to cognate methyltransferases directly on native microbiomes without the need to isolate bacterial strains. Methylation patterns can also be identified on bacteriophage DNA and compared with host DNA, strengthening evidence for</pubmed_abstract><journal>Nucleic acids research</journal><pubmed_title>Proxi-RIMS-seq2 applied to native microbiomes uncovers hundreds of known and novel m5C methyltransferase specificities.</pubmed_title><pmcid>PMC11954522</pmcid><funding_grant_id>R44 AI172703</funding_grant_id><funding_grant_id>R44AI172703</funding_grant_id><pubmed_authors>Yang W</pubmed_authors><pubmed_authors>Mangelson H</pubmed_authors><pubmed_authors>Auch B</pubmed_authors><pubmed_authors>Liachko I</pubmed_authors><pubmed_authors>Ettwiller L</pubmed_authors><pubmed_authors>Luyten Y</pubmed_authors><pubmed_authors>Reister E</pubmed_authors><pubmed_authors>Sisson Z</pubmed_authors><pubmed_authors>Roberts RJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Proxi-RIMS-seq2 applied to native microbiomes uncovers hundreds of known and novel m5C methyltransferase specificities.</name><description>Methylation patterns in bacteria can be used to study restriction-modification or other defense systems with novel properties. While m4C and m6A methylation are well characterized mainly through PacBio sequencing, the landscape of m5C methylation is under-characterized. To bridge this gap, we performed RIMS-seq2 (rapid identification of methyltransferase specificity sequencing) on microbiomes composed of resolved assemblies of distinct genomes through proximity ligation. This high-throughput approach enables the identification of m5C methylated motifs and links them to cognate methyltransferases directly on native microbiomes without the need to isolate bacterial strains. Methylation patterns can also be identified on bacteriophage DNA and compared with host DNA, strengthening evidence for</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2026-04-18T03:13:28.984Z</modification><creation>2025-07-12T03:04:16.466Z</creation></dates><accession>S-EPMC11954522</accession><cross_references><pubmed>40156868</pubmed><doi>10.1093/nar/gkaf226</doi></cross_references></HashMap>