nanodisco

nanodisco identifies de novo DNA methylation motifs and methylation types (6-methyladenine (6mA), 5-methylcytosine (5mC), and 4-methylcytosine (4mC)) from nanopore sequencing data for bacterial isolates and microbiomes to enable methylome characterization and methylation-based metagenomic binning.


Key Features:

  • De Novo Methylation Motif Discovery: Identifies novel DNA methylation motifs across bacterial species from nanopore sequencing data.
  • Methylation Typing and Fine Mapping: Distinguishes 6mA, 5mC, and 4mC and pinpoints which position within a motif is methylated using a multi-label classification framework.
  • Metagenomic Binning Using Methylation Patterns: Uses methylation patterns as epigenetic barcodes to construct and cluster a methylation profile matrix for high-resolution metagenomic binning, host association of mobile genetic elements, and detection of misassembled contigs.
  • Integration for Comprehensive Analysis: Integrates motif discovery and metagenomic analysis to enable de novo methylation studies from complex microbial communities, including the mouse gut microbiome.

Scientific Applications:

  • De novo methylome discovery: Enables discovery of previously unknown bacterial methylomes from isolates and microbiomes.
  • Study of cellular defense and gene regulation: Supports investigation of restriction-modification systems, other cellular defense mechanisms, and methylation-linked gene regulation.
  • Metagenomic assembly curation and host association: Facilitates association of mobile genetic elements with host genomes and identification of misassembled metagenomic contigs.
  • Microbiome epigenomics: Applicable to complex microbial communities such as the mouse gut microbiome for community-level methylation analyses.

Methodology:

Performs de novo motif discovery from nanopore sequencing reads, applies a multi-label classification framework to type 6mA/5mC/4mC and map methylated positions within motifs, and constructs and clusters a methylation profile matrix for metagenomic binning and host association.

Topics

Details

License:
CC-BY-NC-SA-4.0
Tool Type:
library
Programming Languages:
R, Shell
Added:
10/25/2021
Last Updated:
10/25/2021

Operations

Publications

Tourancheau A, Mead EA, Zhang X, Fang G. Discovering multiple types of DNA methylation from bacteria and microbiome using nanopore sequencing. Nature Methods. 2021;18(5):491-498. doi:10.1038/s41592-021-01109-3. PMID:33820988. PMCID:PMC8107137.

PMID: 33820988
PMCID: PMC8107137
Funding: - U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences: R35GM139655

Links