Literature DB >> 30678588

A Method to Detect and Quantify Eutypa lata and Diplodia seriata-Complex DNA in Grapevine Pruning Wounds.

Jérôme Pouzoulet1, Philippe E Rolshausen2, Marco Schiavon2, Sebastiaan Bol2, Renaud Travadon3, Daniel P Lawrence3, Kendra Baumgartner4, Vanessa E Ashworth2, Gwénaëlle Comont5, Marie-France Corio-Costet5, Romain J G Pierron6, Xavier Besson7, Alban Jacques6.   

Abstract

Trunk diseases are factors that limit sustainability of vineyards worldwide. Botryosphaeria and Eutypa diebacks are caused by several fungi belonging to the Botryosphaeriaceae and Diatrypaceae, respectively, with Diplodia seriata and Eutypa lata being two of the most common species. Previous information indicated that the traditional isolation method used to detect these pathogens from plant samples could underestimate their incidence levels. In the present study, we designed two sets of primers that target the β-tubulin gene and that are amenable for quantitative real-time PCR (qPCR) Sybr-Green assays for the detection and quantification of D. seriata-complex (DseCQF/R) and E. lata (ElQF/R) DNA. The design of a species-specific assay was achieved for E. lata. For D. seriata, a species-specific assay could not be designed. The low interspecific diversity across β-tubulin genes resulted in an assay that could not discriminate D. seriata from some closely related species either not yet reported or presenting a low prevalence on grapevine, such as D. intermedia. We validated our technique on grapevine spur samples naturally and artificially infected with D. seriata and E. lata during the dormant season. Experimental grapevines were located in two counties of northern California where the incidence of both pathogens was previously reported. The qPCR assays revealed that a high frequency of pruning wound infections (65%) was achieved naturally by E. lata, while low infection frequency (less than 5%) was observed using the reisolation method. For D. seriata-complex, low (5%) to no natural infection frequencies were observed by the qPCR and the reisolation method, respectively. These results also provided evidence that our qPCR detection methods were more sensitive to assess the incidence of E. lata and D. seriata-complex in plant samples, than traditional isolation techniques. Benefits of molecular methods for the detection of canker pathogens in the field under natural conditions are discussed.

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Year:  2017        PMID: 30678588     DOI: 10.1094/PDIS-03-17-0362-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  3 in total

1.  DNA metabarcoding reveals high relative abundance of trunk disease fungi in grapevines from Marlborough, New Zealand.

Authors:  Bhanupratap R Vanga; Preeti Panda; Anish S Shah; Sarah Thompson; Rebecca H Woolley; Hayley J Ridgway; Dion C Mundy; Simon Bulman
Journal:  BMC Microbiol       Date:  2022-05-10       Impact factor: 4.465

Review 2.  The road to molecular identification and detection of fungal grapevine trunk diseases.

Authors:  Filipe Azevedo-Nogueira; Cecília Rego; Helena Maria Rodrigues Gonçalves; Ana Margarida Fortes; David Gramaje; Paula Martins-Lopes
Journal:  Front Plant Sci       Date:  2022-08-26       Impact factor: 6.627

Review 3.  A Panoramic View on Grapevine Trunk Diseases Threats: Case of Eutypa Dieback, Botryosphaeria Dieback, and Esca Disease.

Authors:  Jihane Kenfaoui; Nabil Radouane; Mohammed Mennani; Abdessalem Tahiri; Lahsen El Ghadraoui; Zineb Belabess; Florence Fontaine; Hajar El Hamss; Said Amiri; Rachid Lahlali; Essaid Ait Barka
Journal:  J Fungi (Basel)       Date:  2022-06-01
  3 in total

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