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dc.contributor.authorKalmar, Lajos
dc.contributor.authorGupta, Srishti
dc.contributor.authorKean, Iain
dc.contributor.authorBa, Xiaoliang
dc.contributor.authorHadjirin, Nazreen
dc.contributor.authorLay, Elizabeth M
dc.contributor.authorde Vries, Stefan PW
dc.contributor.authorBateman, Michael
dc.contributor.authorBartlet, Harriet
dc.contributor.authorHernandez-Garcia, Juan
dc.contributor.authorTucker, Alexander
dc.contributor.authorRestif, Olivier
dc.contributor.authorStevens, Mark P
dc.contributor.authorWood, James
dc.contributor.authorMaskell, Duncan J
dc.contributor.authorGrant, Andrew
dc.contributor.authorHolmes, Mark
dc.date.accessioned2022-04-19T13:16:27Z
dc.date.available2022-04-19T13:16:27Z
dc.date.issued2022-03
dc.identifier.issn1553-7390
dc.identifier.other35286304
dc.identifier.otherPMC8947609
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/336144
dc.description.abstractShotgun metagenomics is a powerful tool to identify antimicrobial resistance (AMR) genes in microbiomes but has the limitation that extrachromosomal DNA, such as plasmids, cannot be linked with the host bacterial chromosome. Here we present a comprehensive laboratory and bioinformatics pipeline HAM-ART (Hi-C Assisted Metagenomics for Antimicrobial Resistance Tracking) optimised for the generation of metagenome-assembled genomes including both chromosomal and extrachromosomal AMR genes. We demonstrate the performance of the pipeline in a study comparing 100 pig faecal microbiomes from low- and high-antimicrobial use pig farms (organic and conventional farms). We found significant differences in the distribution of AMR genes between low- and high-antimicrobial use farms including a plasmid-borne lincosamide resistance gene exclusive to high-antimicrobial use farms in three species of Lactobacilli. The bioinformatics pipeline code is available at https://github.com/lkalmar/HAM-ART.
dc.languageeng
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 1553-7404
dc.sourcenlmid: 101239074
dc.titleHAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities.
dc.typeArticle
dc.date.updated2022-04-19T13:16:27Z
prism.issueIdentifier3
prism.publicationNamePLoS Genet
prism.volume18
dc.identifier.doi10.17863/CAM.83569
dcterms.dateAccepted2022-02-07
rioxxterms.versionofrecord10.1371/journal.pgen.1009776
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidKalmar, Lajos [0000-0003-3691-8350]
dc.contributor.orcidGupta, Srishti [0000-0001-6721-1783]
dc.contributor.orcidKean, Iain [0000-0003-1066-8285]
dc.contributor.orcidBa, Xiaoliang [0000-0002-3882-3585]
dc.contributor.orcidde Vries, Stefan PW [0000-0002-0823-208X]
dc.contributor.orcidBartlet, Harriet [0000-0002-7389-8785]
dc.contributor.orcidHernandez-Garcia, Juan [0000-0001-5932-9327]
dc.contributor.orcidTucker, Alexander [0000-0003-0062-0843]
dc.contributor.orcidRestif, Olivier [0000-0001-9158-853X]
dc.contributor.orcidWood, James [0000-0002-0258-3188]
dc.contributor.orcidMaskell, Duncan J [0000-0002-5065-653X]
dc.contributor.orcidGrant, Andrew [0000-0001-9746-2989]
dc.contributor.orcidHolmes, Mark [0000-0002-5454-1625]
dc.identifier.eissn1553-7404
pubs.funder-project-idMedical Research Council (MR/N002660/1)
cam.issuedOnline2022-03-14


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International