In silico identification of bacteriocin gene clusters in the gastrointestinal tract, based on the Human Microbiome Project’s reference genome database

dc.contributor.authorWalsh, Calum J.
dc.contributor.authorGuinane, Caitriona M.
dc.contributor.authorHill, Colin
dc.contributor.authorRoss, R. Paul
dc.contributor.authorO'Toole, Paul W.
dc.contributor.authorCotter, Paul D.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2016-01-13T16:49:53Z
dc.date.available2016-01-13T16:49:53Z
dc.date.issued2015-09-16
dc.description.abstractThe human gut microbiota comprises approximately 100 trillion microbial cells which significantly impact many aspects of human physiology - including metabolism, nutrient absorption and immune function. Disturbances in this population have been implicated in many conditions and diseases, including obesity, type-2 diabetes and inflammatory bowel disease. This suggests that targeted manipulation or shaping of the gut microbiota, by bacteriocins and other antimicrobials, has potential as a therapeutic tool for the prevention or treatment of these conditions. With this in mind, several studies have used traditional culture-dependent approaches to successfully identify bacteriocin-producers from the mammalian gut. In silico-based approaches to identify novel gene clusters are now also being utilised to take advantage of the vast amount of data currently being generated by next generation sequencing technologies. In this study, we employed an in silico screening approach to mine potential bacteriocin clusters in genome-sequenced isolates from the gastrointestinal tract (GIT). More specifically, the bacteriocin genome-mining tool BAGEL3 was used to identify potential bacteriocin producers in the genomes of the GIT subset of the Human Microbiome Project’s reference genome database. Each of the identified gene clusters were manually annotated and potential bacteriocin-associated genes were evaluated.en
dc.description.sponsorshipScience Foundation Ireland (SFI PI award to PDC “Obesibiotics” (11/PI/1137))en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid183
dc.identifier.citationWALSH, C. J., GUINANE, C. M., HILL, C., ROSS, R. P., O’TOOLE, P. W. & COTTER, P. D. 2015. In silico identification of bacteriocin gene clusters in the gastrointestinal tract, based on the Human Microbiome Project’s reference genome database. BMC Microbiology, 15:183, 1-11. http://dx.doi.org/10.1186/s12866-015-0515-4en
dc.identifier.doi10.1186/s12866-015-0515-4
dc.identifier.endpage11en
dc.identifier.issn1471-2180
dc.identifier.issued1en
dc.identifier.journaltitleBMC Microbiologyen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/2182
dc.identifier.volume15en
dc.language.isoenen
dc.publisherBiomed Central Ltd.en
dc.rights© Walsh et al. 2015. ; licensee BioMed Central Ltd. 2015. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBacteriocinen
dc.subjectBacteriolysinen
dc.subjectLantibioticen
dc.subjectSactipeptideen
dc.subjectUnclassified drugen
dc.subjectActinobacteriaen
dc.subjectBacterial genomeen
dc.subjectBacteriocin geneen
dc.subjectBacteriumen
dc.subjectBacterium isolateen
dc.subjectBacteroidetesen
dc.subjectBifidobacteriumen
dc.subjectFirmicutesen
dc.subjectFusobacteriaen
dc.subjectGene clusteren
dc.subjectGram positive bacteriumen
dc.subjectIntestine floraen
dc.subjectProteobacteriaen
dc.subjectRoseburiaen
dc.subjectRuminococcusen
dc.subjectSynergistetesen
dc.subjectHuman Microbiome Projecten
dc.subjectHuman gut microbiotaen
dc.titleIn silico identification of bacteriocin gene clusters in the gastrointestinal tract, based on the Human Microbiome Project’s reference genome databaseen
dc.typeArticle (peer-reviewed)en
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