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.