Literature DB >> 18045445

Two different PCR approaches for universal diagnosis of brown rot and identification of Monilinia spp. in stone fruit trees.

I Gell1, J Cubero, P Melgarejo.   

Abstract

AIMS: To design a protocol for the universal diagnosis of brown rot by polymerase chain reaction (PCR) in plant material and subsequently Monilinia spp. identification. METHODS AND
RESULTS: Primers for discrimination of Monilinia spp. from other fungal genera by PCR were designed following a ribosomal DNA analysis. Discrimination among species of Monilinia was subsequently achieved by developing primers using SCAR (Sequence Characterised Amplified Region) markers obtained after a random amplified polymorphic DNA study. In addition, an internal control (IC) based on the utilization of a mimic plasmid was designed to be used in the diagnostic protocol of brown rot to recognize false negatives due to the inhibition of PCR.
CONCLUSIONS: The four sets of primers designed allowed detection and discrimination of all Monilinia spp. causing brown rot in fruit trees. Addition of an IC in each PCR reaction performed increased the reliability of the diagnostic protocol. SIGNIFICANCE AND IMPACT OF THE STUDY: The detection protocol presented here, that combined a set of universal primers and the inclusion of the plasmid pGMON as an IC for diagnosis of all Monilinia spp., and three sets of primers to discriminate the most important species of Monilinia, could be an useful and valuable tool for epidemiological studies. The method developed could be used in programmes to avoid the spread and introduction of this serious disease in new areas.

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Year:  2007        PMID: 18045445     DOI: 10.1111/j.1365-2672.2007.03495.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  7 in total

1.  Genera of phytopathogenic fungi: GOPHY 1.

Authors:  Y Marin-Felix; J Z Groenewald; L Cai; Q Chen; S Marincowitz; I Barnes; K Bensch; U Braun; E Camporesi; U Damm; Z W de Beer; A Dissanayake; J Edwards; A Giraldo; M Hernández-Restrepo; K D Hyde; R S Jayawardena; L Lombard; J Luangsa-Ard; A R McTaggart; A Y Rossman; M Sandoval-Denis; M Shen; R G Shivas; Y P Tan; E J van der Linde; M J Wingfield; A R Wood; J Q Zhang; Y Zhang; P W Crous
Journal:  Stud Mycol       Date:  2017-05-05       Impact factor: 16.097

2.  Monilinia species causing brown rot of peach in China.

Authors:  Meng-Jun Hu; Kerik D Cox; Guido Schnabel; Chao-Xi Luo
Journal:  PLoS One       Date:  2011-09-27       Impact factor: 3.240

3.  Expression of Five Endopolygalacturonase Genes and Demonstration that MfPG1 Overexpression Diminishes Virulence in the Brown Rot Pathogen Monilinia fructicola.

Authors:  Chien-Ming Chou; Fang-Yi Yu; Pei-Ling Yu; Jia-Fang Ho; Richard M Bostock; Kuang-Ren Chung; Jenn-Wen Huang; Miin-Huey Lee
Journal:  PLoS One       Date:  2015-06-29       Impact factor: 3.240

4.  Development of SCAR Primers for PCR Assay to Detect Diplodia seriata.

Authors:  M T Martín; M J Cuesta; L Martín
Journal:  Int Sch Res Notices       Date:  2014-09-28

5.  A Duplex-Droplet Digital PCR Assay for Simultaneous Quantitative Detection of Monilinia fructicola and Monilinia laxa on Stone Fruits.

Authors:  Celeste Raguseo; Donato Gerin; Stefania Pollastro; Caterina Rotolo; Palma Rosa Rotondo; Francesco Faretra; Rita Milvia De Miccolis Angelini
Journal:  Front Microbiol       Date:  2021-11-29       Impact factor: 5.640

6.  Epidemiological Studies of Brown Rot in Spanish Cherry Orchards in the Jerte Valley.

Authors:  Inmaculada Larena; Maria Villarino; Paloma Melgarejo; Antonieta De Cal
Journal:  J Fungi (Basel)       Date:  2021-03-10

7.  Impact of Postharvest Handling on Preharvest Latent Infections Caused by Monilinia spp. in Nectarines.

Authors:  Carlos Garcia-Benitez; Carla Casals; Josep Usall; Ismael Sánchez-Ramos; Paloma Melgarejo; Antonieta De Cal
Journal:  J Fungi (Basel)       Date:  2020-11-04
  7 in total

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