A highly specific tool for identification of Xanthomonas vasicola pv. musacearum based on five Xvm-specific coding sequences
dc.contributor.author | Nakato, Gloria Valentine | |
dc.contributor.author | Wicker, Emmanuel | |
dc.contributor.author | Coutinho, Teresa A. | |
dc.contributor.author | Mahuku, George | |
dc.contributor.author | Studholme, David J. | |
dc.date.accessioned | 2019-09-30T12:00:37Z | |
dc.date.available | 2019-09-30T12:00:37Z | |
dc.date.issued | 2018-12 | |
dc.description.abstract | Xanthomonas 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 Xvmspecific primers amplifying only Xvm strains. | en_ZA |
dc.description.department | Forestry and Agricultural Biotechnology Institute (FABI) | en_ZA |
dc.description.department | Microbiology and Plant Pathology | en_ZA |
dc.description.librarian | am2019 | en_ZA |
dc.description.sponsorship | Agropolis Fondation under the reference ID 1605-025 through the « Investissements d’avenir » program (Labex Agro: ANR-10-LABX-0001-01), under the frame of I-SITE MUSE (ANR-16-IDEX-0006). Additional financial support came from the CRP-Roots Tubers and Banana. | en_ZA |
dc.description.uri | https://www.heliyon.com | en_ZA |
dc.identifier.citation | Gloria Valentine Nakato, Emmanuel Wicker, Teresa A. Coutinho, George Mahuku, David J. Studholme. A highly specific tool for identification of Xanthomonas vasicola pv. musacearum based on five Xvm-specific coding sequences. Heliyon 4 (2018) e01080. DOI: 10.1016/j.heliyon.2018.e01080. | en_ZA |
dc.identifier.issn | 2405-8440 | |
dc.identifier.other | 10.1016/j.heliyon.2018.e01080 | |
dc.identifier.uri | http://hdl.handle.net/2263/71500 | |
dc.language.iso | en | en_ZA |
dc.publisher | Elsevier | en_ZA |
dc.rights | © 2018 The Author. This is an open access article under the CC BY license. | en_ZA |
dc.subject | Bioinformatics | en_ZA |
dc.subject | Microbiology | en_ZA |
dc.subject | Molecular biology | en_ZA |
dc.subject | Plant biology | en_ZA |
dc.subject | Xanthomonas wilt disease | en_ZA |
dc.subject | Banana crops | en_ZA |
dc.subject | Enset crops | en_ZA |
dc.subject | Bacterial pathogen | en_ZA |
dc.subject | Polymerase chain reaction (PCR) | en_ZA |
dc.subject | Xanthomonas vasicola pv. musacearum (Xvm) | en_ZA |
dc.title | A highly specific tool for identification of Xanthomonas vasicola pv. musacearum based on five Xvm-specific coding sequences | en_ZA |
dc.type | Article | en_ZA |