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dc.contributor.authorNakato, GV
dc.contributor.authorWicker, E
dc.contributor.authorCoutinho, TA
dc.contributor.authorMahuku, G
dc.contributor.authorStudholme, DJ
dc.date.accessioned2019-02-04T10:21:25Z
dc.date.issued2018-12-27
dc.description.abstractXanthomonas vasicola pv. musacearum (Xvm) is a bacterial pathogen responsible for the economically important Xanthomonas wilt disease on banana and enset crops in Sub-Saharan Africa. Given that the symptoms are similar to those of other diseases, molecular diagnosis is essential to unambiguously identify this pathogen and distinguish it from closely related strains not pathogenic on these hosts. Currently, Xvm identification is based on polymerase chain reaction (PCR) with GspDm primers, targeting the gene encoding general secretory protein D. Experimental results and examination of genomic sequences revealed poor specificity of the GspDm PCR. Here, we present and validate five new Xvm-specific primers amplifying only Xvm strains.en_GB
dc.description.sponsorshipAgropolis Fondationen_GB
dc.identifier.citationVol. 4 (12), article e01080en_GB
dc.identifier.doi10.1016/j.heliyon.2018.e01080
dc.identifier.grantnumber1605-025en_GB
dc.identifier.urihttp://hdl.handle.net/10871/35705
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2018 Published by Elsevier Ltd. 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.subjectBioinformaticsen_GB
dc.subjectMicrobiologyen_GB
dc.subjectMolecular biologyen_GB
dc.subjectPlant biologyen_GB
dc.titleA highly specific tool for identification of Xanthomonas vasicola pv. musacearum based on five Xvm-specific coding sequencesen_GB
dc.typeArticleen_GB
dc.date.available2019-02-04T10:21:25Z
dc.identifier.issn2405-8440
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalHeliyonen_GB
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2018-12-18
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-12-18
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-02-04T10:17:39Z
refterms.versionFCDVoR
refterms.dateFOA2019-02-04T10:21:27Z
refterms.panelAen_GB


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© 2018 Published by Elsevier Ltd. 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 © 2018 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).