Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34597

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dc.contributor.authorFaria, José P.por
dc.contributor.authorEdirisinghe, Janaka N.por
dc.contributor.authorDavis, James J.por
dc.contributor.authorDisz, Terrencepor
dc.contributor.authorHausmann, Annapor
dc.contributor.authorHenry, Christopher S.por
dc.contributor.authorOlson, Robertpor
dc.contributor.authorOverbeek, Ross A.por
dc.contributor.authorPusch, Gordon D.por
dc.contributor.authorShukla, Maulikpor
dc.contributor.authorVonstein, Veronikapor
dc.contributor.authorWattam, Alice R.por
dc.date.accessioned2015-03-27T15:30:39Z-
dc.date.available2015-03-27T15:30:39Z-
dc.date.issued2015-02-
dc.identifier.citationFaria, J. P.; Edirisinghe, J. N.; Davis, J. J.; Disz, T.; Hausmann, A.; Henry, C. S.; Olson, R.; Overbeek, R. A.; Pusch, G. D.; Shukla, M.; Vonstein, V.; Wattam, A. R., Enabling comparative modeling of closely related genomes: example genus Brucella. 3 Biotech, 5(1), 101-105, 2015por
dc.identifier.issn2190-572Xpor
dc.identifier.urihttp://hdl.handle.net/1822/34597-
dc.description.abstractFor many scientific applications, it is highly desirable to be able to compare metabolic models of closely related genomes. In this short report, we attempt to raise awareness to the fact that taking annotated genomes from public repositories and using them for metabolic model reconstructions is far from being trivial due to annotation inconsistencies. We are proposing a protocol for comparative analysis of metabolic models on closely related genomes, using fifteen strains of genus Brucella, which contains pathogens of both humans and livestock. This study lead to the identification and subsequent correction of inconsistent annotations in the SEED database, as well as the identification of 31 biochemical reactions that are common to Brucella, which are not originally identified by automated metabolic reconstructions. We are currently implementing this protocol for improving automated annotations within the SEED database and these improvements have been propagated into PATRIC, Model-SEED, KBase and RAST. This method is an enabling step for the future creation of consistent annotation systems and high-quality model reconstructions that will support in predicting accurate phenotypes such as pathogenicity, media requirements or type of respiration.por
dc.description.sponsorshipWe thank Jean Jacques Letesson, Maite Iriarte, Stephan Kohler and David O'Callaghan for their input on improving specific annotations. This project has been funded by the United States National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN272200900040C, awarded to BW Sobral, and from the United States National Science Foundation under Grant MCB-1153357, awarded to CS Henry. J.P.F. acknowledges funding from [FRH/BD/70824/2010] of the FCT (Portuguese Foundation for Science and Technology) Ph.D. scholarship.por
dc.language.isoengpor
dc.publisherSpringer por
dc.rightsopenAccesspor
dc.titleEnabling comparative modeling of closely related genomes: Example genus Brucellapor
dc.typearticle-
dc.peerreviewedyespor
dc.relation.publisherversionhttp://www.springer.com/chemistry/biotechnology/journal/13205por
dc.commentsCEB18170por
sdum.publicationstatuspublishedpor
oaire.citationStartPage101por
oaire.citationEndPage105por
oaire.citationIssue1por
oaire.citationVolume5por
dc.date.updated2015-03-10T22:34:38Z-
dc.identifier.essn2190-5738-
dc.identifier.doi10.1007/s13205-014-0202-4por
dc.subject.wosScience & Technologypor
sdum.journal3 Biotechpor
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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