HAM-ART

HAM-ART links extrachromosomal antimicrobial resistance (AMR) genes to their host bacterial genomes using Hi-C assisted metagenomics to enable comprehensive detection and tracking of AMR in complex microbial communities.


Key Features:

  • Hi-C integration: Utilizes Hi-C sequencing data to associate extrachromosomal DNA, including plasmids, with host bacterial genomes.
  • Addressing shotgun metagenomics limitation: Links plasmid-borne resistance genes to bacterial chromosomes, overcoming the inability of traditional shotgun metagenomics to assign extrachromosomal elements to hosts.
  • Metagenome-assembled genomes (MAGs): Optimized to generate high-quality MAGs that include both chromosomal and extrachromosomal AMR genes.
  • Integrated laboratory and computational pipeline: Combines laboratory Hi-C protocols with bioinformatics analysis to assemble genomes and identify AMR genes within their genomic context.

Scientific Applications:

  • Comparative farm microbiome analysis: Applied to 100 pig faecal microbiomes from organic (low-use) and conventional (high-use) farms to compare AMR gene distribution between environments.
  • Plasmid-borne resistance discovery: Enabled identification of a plasmid-borne lincosamide resistance gene exclusive to high-antimicrobial-use farms found within three species of Lactobacilli.

Methodology:

Hi-C assisted metagenomic sequencing data are processed through the HAM-ART pipeline to assemble genomes (including MAGs), identify AMR genes, and link extrachromosomal elements such as plasmids to their bacterial hosts.

Topics

Details

License:
BSD-3-Clause
Cost:
Free of charge
Tool Type:
workflow
Operating Systems:
Linux
Programming Languages:
Perl
Added:
6/27/2022
Last Updated:
11/24/2024

Operations

Publications

Kalmar L, Gupta S, Kean IRL, Ba X, Hadjirin N, Lay EM, de Vries SPW, Bateman M, Bartlet H, Hernandez-Garcia J, Tucker AW, Restif O, Stevens MP, Wood JLN, Maskell DJ, Grant AJ, Holmes MA. HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities. PLOS Genetics. 2022;18(3):e1009776. doi:10.1371/journal.pgen.1009776. PMID:35286304. PMCID:PMC8947609.

PMID: 35286304
PMCID: PMC8947609
Funding: - Medical Research Council: MR/N002660/1