English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/218402
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Development of A Nested-MultiLocus Sequence Typing Approach for A Highly Sensitive and Specific Identification of Xylella fastidiosa Subspecies Directly from Plant Samples

AuthorsCesbron, Sophie; Dupas, Enora; Beaurepère, Quentin; Briand, Martial; Montes Borrego, Miguel ; Velasco-Amo, María Pilar; Landa, Blanca B. ; Jacques, M. A.
KeywordsXylella fastidiosa
Direct typing technique
Nested PCR
Issue Date2020
PublisherMultidisciplinary Digital Publishing Institute
CitationAgronomy 10(8): 1099 (2020)
AbstractIdentification of sequence types (ST) of Xylella fastidiosa based on direct MultiLocus Sequence Typing (MLST) of plant DNA samples is partly efficient. In order to improve the sensitivity of X. fastidiosa identification, we developed a direct nested-MLST assay on plant extracted DNA. This method was performed based on a largely used scheme targeting seven housekeeping gene (HKG) loci (cysG, gltT, holC, leuA, malF, nuoL, petC). Samples analyzed included 49 plant species and two insect species (Philaenus spumarius, Neophilaenus campestris) that were collected in 2017 (106 plant samples in France), in 2018 (162 plant samples in France, 40 plant samples and 26 insect samples in Spain), and in 2019 (30 plant samples in Spain). With the nested approach, a significant higher number of samples were amplified. The threshold was improved by 100 to 1000 times compared to conventional PCR. Using nested-MLST assay, plants that were not yet considered hosts tested positive and revealed novel alleles in France, whereas for Spanish samples it was possible to assign the subspecies or ST to samples considered as new hosts in Europe. Direct typing by nested-MLST from plant material has an increased sensitivity and may be useful for epidemiological purposes.
Description© 2020 by the authors.
Publisher version (URL)https://doi.org/10.3390/agronomy10081099
Appears in Collections:(IAS) Artículos
Files in This Item:
File Description SizeFormat 
Development_Cespron_Art2020.pdf973,68 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.