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HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities
Shotgun 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-...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947609/ https://www.ncbi.nlm.nih.gov/pubmed/35286304 http://dx.doi.org/10.1371/journal.pgen.1009776 |
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author | Kalmar, Lajos Gupta, Srishti Kean, Iain R. L. Ba, Xiaoliang Hadjirin, Nazreen Lay, Elizabeth M. de Vries, Stefan P. W. Bateman, Michael Bartlet, Harriet Hernandez-Garcia, Juan Tucker, Alexander W. Restif, Olivier Stevens, Mark P. Wood, James L. N. Maskell, Duncan J. Grant, Andrew J. Holmes, Mark A. |
author_facet | Kalmar, Lajos Gupta, Srishti Kean, Iain R. L. Ba, Xiaoliang Hadjirin, Nazreen Lay, Elizabeth M. de Vries, Stefan P. W. Bateman, Michael Bartlet, Harriet Hernandez-Garcia, Juan Tucker, Alexander W. Restif, Olivier Stevens, Mark P. Wood, James L. N. Maskell, Duncan J. Grant, Andrew J. Holmes, Mark A. |
author_sort | Kalmar, Lajos |
collection | PubMed |
description | Shotgun 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. |
format | Online Article Text |
id | pubmed-8947609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89476092022-03-25 HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities Kalmar, Lajos Gupta, Srishti Kean, Iain R. L. Ba, Xiaoliang Hadjirin, Nazreen Lay, Elizabeth M. de Vries, Stefan P. W. Bateman, Michael Bartlet, Harriet Hernandez-Garcia, Juan Tucker, Alexander W. Restif, Olivier Stevens, Mark P. Wood, James L. N. Maskell, Duncan J. Grant, Andrew J. Holmes, Mark A. PLoS Genet Research Article Shotgun 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. Public Library of Science 2022-03-14 /pmc/articles/PMC8947609/ /pubmed/35286304 http://dx.doi.org/10.1371/journal.pgen.1009776 Text en © 2022 Kalmar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kalmar, Lajos Gupta, Srishti Kean, Iain R. L. Ba, Xiaoliang Hadjirin, Nazreen Lay, Elizabeth M. de Vries, Stefan P. W. Bateman, Michael Bartlet, Harriet Hernandez-Garcia, Juan Tucker, Alexander W. Restif, Olivier Stevens, Mark P. Wood, James L. N. Maskell, Duncan J. Grant, Andrew J. Holmes, Mark A. HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
title | HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
title_full | HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
title_fullStr | HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
title_full_unstemmed | HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
title_short | HAM-ART: An optimised culture-free Hi-C metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
title_sort | ham-art: an optimised culture-free hi-c metagenomics pipeline for tracking antimicrobial resistance genes in complex microbial communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947609/ https://www.ncbi.nlm.nih.gov/pubmed/35286304 http://dx.doi.org/10.1371/journal.pgen.1009776 |
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