Assessing the fecal microbiota: an optimized ion torrent 16S rRNA gene-based analysis protocol

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dc.contributor.author Milani, Christian
dc.contributor.author Hevia, Arancha
dc.contributor.author Foroni, Elena
dc.contributor.author Duranti, Sabrina
dc.contributor.author Turroni, Francesca
dc.contributor.author Lugli, Gabriele A.
dc.contributor.author Sanchez, Borja
dc.contributor.author Martin, Rebeca
dc.contributor.author Gueimonde, Miguel
dc.contributor.author van Sinderen, Douwe
dc.contributor.author Margolles, Abelardo
dc.contributor.author Ventura, Marco
dc.date.accessioned 2016-02-17T11:45:33Z
dc.date.available 2016-02-17T11:45:33Z
dc.date.issued 2013
dc.identifier.citation Milani C, Hevia A, Foroni E, Duranti S, Turroni F, Lugli GA, et al. (2013) Assessing the Fecal Microbiota: An Optimized Ion Torrent 16S rRNA Gene-Based Analysis Protocol. PLoS ONE 8(7): e68739. doi:10.1371/journal.pone.0068739 en
dc.identifier.volume 8 en
dc.identifier.issued 7 en
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10468/2372
dc.identifier.doi 10.1371/journal.pone.0068739
dc.description.abstract Assessing the distribution of 16S rRNA gene sequences within a biological sample represents the current state-of-the-art for determination of human gut microbiota composition. Advances in dissecting the microbial biodiversity of this ecosystem have very much been dependent on the development of novel high-throughput DNA sequencing technologies, like the Ion Torrent. However, the precise representation of this bacterial community may be affected by the protocols used for DNA extraction as well as by the PCR primers employed in the amplification reaction. Here, we describe an optimized protocol for 16S rRNA gene-based profiling of the fecal microbiota. en
dc.description.sponsorship GenProbio srl (Laboratory of Probiogenomics); Fondazione Cariparma; Federation of European Microbiological Societies (FEMS Advanced Fellowship 2011); Regione Emilia Romagna (Spinner 2013 PhD fellowship); Irish Research Council for Science Engineering and Technology (IRCSET Embark postdoctoral fellowship); Science Foundation Ireland (Alimentary Pharmabiotic Centre CSET); Irish Government (National Development Plan (Grant no. 02/CE/B124 and 07/CE/B1368)); Ministerio de Economía y Competitividad (MICINN Spanish Plan Nacional de I+D (grant AGL2010-14952), FPI grant, Juan de la Cierva postdoctoral contract) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Public Library of Science en
dc.rights © 2013 Milani et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Human intestinal tract en
dc.subject Gut microbiota en
dc.subject Phylogenetic microarray en
dc.subject Bacterial en
dc.subject Diversity en
dc.subject Communities en
dc.subject Sequence en
dc.subject Succession en
dc.subject Disease en
dc.subject Health en
dc.title Assessing the fecal microbiota: an optimized ion torrent 16S rRNA gene-based analysis protocol en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Dowe van Sinderen, Microbiology, University College Cork, Cork, Ireland. +353-21-490-3000 Email: d.vansinderen@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.internal.wokid WOS:000323110600029
dc.contributor.funder GenProbio srl, Italy en
dc.contributor.funder Fondazione Cariparma, Italy en
dc.contributor.funder Federation of European Microbiological Societies en
dc.contributor.funder Irish Research Council for Science Engineering and Technology en
dc.contributor.funder Regione Emilia Romagna, Italy en
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Irish Government en
dc.contributor.funder Ministerio de Economía y Competitividad, Spain en
dc.description.status Peer reviewed en
dc.identifier.journaltitle PLOS ONE en
dc.internal.IRISemailaddress d.vansinderen@ucc.ie en
dc.identifier.articleid e68739


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© 2013 Milani et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Except where otherwise noted, this item's license is described as © 2013 Milani et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
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