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dc.contributor.authorFietz, Katharina
dc.contributor.authorGraves, Jefferson Alden
dc.contributor.authorOlsen, Morten Tange
dc.date.accessioned2014-07-10T14:31:10Z
dc.date.available2014-07-10T14:31:10Z
dc.date.issued2013-08-16
dc.identifier.citationFietz , K , Graves , J A & Olsen , M T 2013 , ' Control control control : a reassessment and comparison of GenBank and chromatogram mtDNA sequence variation in Baltic grey seals (Halichoerus grypus) ' PLoS One , vol. 8 , no. 8 , e72853 . DOI: 10.1371/journal.pone.0072853en
dc.identifier.issn1932-6203
dc.identifier.otherPURE: 131094337
dc.identifier.otherPURE UUID: 7e70ae67-a0c6-4911-9b58-b74c0d8e98c1
dc.identifier.otherWOS: 000323570200088
dc.identifier.otherScopus: 84881568095
dc.identifier.urihttp://hdl.handle.net/10023/5006
dc.descriptionThis study was funded by an ‘EU bonus’ award given to MTP Gilbert by the University of Copenhagen.en
dc.description.abstractGenetic data can provide a powerful tool for those interested in the biology, management and conservation of wildlife, but also lead to erroneous conclusions if appropriate controls are not taken at all steps of the analytical process. This particularly applies to data deposited in public repositories such as GenBank, whose utility relies heavily on the assumption of high data quality. Here we report on an in-depth reassessment and comparison of GenBank and chromatogram mtDNA sequence data generated in a previous study of Baltic grey seals. By re-editing the original chromatogram data we found that approximately 40% of the grey seal mtDNA haplotype sequences posted in GenBank contained errors. The re-analysis of the edited chromatogram data yielded overall similar results and conclusions as the original study. However, a significantly different outcome was observed when using the uncorrected dataset based on the GenBank haplotypes. We therefore suggest disregarding the existing GenBank data and instead using the correct haplotypes reported here. Our study serves as an illustrative example reiterating the importance of quality control through every step of a research project, from data generation to interpretation and submission to an online repository. Errors conducted in any step may lead to biased results and conclusions, and could impact management decisions.en
dc.format.extent7en
dc.language.isoeng
dc.relation.ispartofPLoS Oneen
dc.rightsCopyright: © 2013 Fietz 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. http://creativecommons.org/licenses/by/4.0/en
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleControl control control : a reassessment and comparison of GenBank and chromatogram mtDNA sequence variation in Baltic grey seals (Halichoerus grypus)en
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0072853
dc.description.statusPeer revieweden


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