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dc.contributor.authorBell, AG
dc.contributor.authorThornber, K
dc.contributor.authorChaput, DL
dc.contributor.authorHasan, NA
dc.contributor.authorMehedi Alam, M
dc.contributor.authorHaque, MM
dc.contributor.authorCable, J
dc.contributor.authorTemperton, B
dc.contributor.authorTyler, CR
dc.date.accessioned2023-01-26T13:20:48Z
dc.date.issued2023-01-24
dc.date.updated2023-01-26T11:36:39Z
dc.description.abstractIn Bangladesh, fish provide over 60% of animal-source food with 56.2% of this coming from aquaculture produced predominantly in rural freshwater ponds. Increasing demand for fish products is driving intensification and resulting in higher disease prevalence, posing a risk to food security. Biosecurity is often absent in rural aquaculture practices in Bangladesh and antibiotics are commonly used to treat and prevent disease outbreaks. Antibiotics are often administered incorrectly - a key factor associated with the development of antimicrobial resistance (AMR). AMR can be disseminated rapidly within microbial ecosystems via mobile genetic elements, posing a risk for humans and animals infected with AMR pathogens as treatments with antibiotics become ineffective. Early AMR detection and understanding of the spread of antimicrobial resistance genes (ARGs) in rural aquaculture practices is critical for both food security, human health protection and food safety. Here, we apply a metagenomic approach to assess the ARG composition in pond water from six finfish (tilapia and pangasius) farms in the Mymensingh division of North-central Bangladesh. We found microbial communities within the ponds had similar alpha and beta diversities, with multiple ARGs predicted to confer resistance to eighteen different classes of antimicrobials. The most common ARGs conferred resistance to aminoglycosides and sulphonamides and were present in taxa associated with both fish and human pathogens. This ARG diversity potentially confers resistance to a wide variety of antibiotic classes and questions the effectiveness of current and future treatment of diseases with antibiotics in earthen aquaculture ponds. The microbial and ARG compositions between fish ponds within each farm were similar, which may relate to parallels in farming practices creating similar microbial selection pressures and thus comparable microbial populations. Without a more controlled approach towards antibiotic usage, we will inevitably further exacerbate the challenges in treating and preventing disease outbreaks as aquaculture production intensifies in Bangladesh.en_GB
dc.description.sponsorshipBiotechnology & Biological Sciences Research Council (BBSRC)en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.format.extent101462-101462
dc.identifier.citationVol. 29, article 101462en_GB
dc.identifier.doihttps://doi.org/10.1016/j.aqrep.2023.101462
dc.identifier.grantnumberBB/N00504X/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132344
dc.identifierORCID: 0000-0003-0198-2205 (Bell, Ashley G)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://github.com/ash-bell/Bangladesh_ARG_analysis/en_GB
dc.rights© 2023 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_GB
dc.subjectAntimicrobial resistanceen_GB
dc.subjectBangladeshen_GB
dc.subjectFish ponden_GB
dc.subjectMicrobiomeen_GB
dc.subjectAquacultureen_GB
dc.subjectPlasmiden_GB
dc.titleMetagenomic assessment of the diversity and ubiquity of antimicrobial resistance genes in Bangladeshi aquaculture pondsen_GB
dc.typeArticleen_GB
dc.date.available2023-01-26T13:20:48Z
dc.identifier.issn2352-5134
exeter.article-number101462
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData Availability: Raw sequencing reads were deposited in the ENA under BioProject PRJEB53918. Scripts for all bioinformatic processes are available on GitHub (https://github.com/ash-bell/Bangladesh_ARG_analysis/).en_GB
dc.identifier.journalAquaculture Reportsen_GB
dc.relation.ispartofAquaculture Reports, 29
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2023-01-04
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-01-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-01-26T13:19:02Z
refterms.versionFCDVoR
refterms.dateFOA2023-01-26T13:20:55Z
refterms.panelAen_GB


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© 2023 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's licence is described as © 2023 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).