Literature DB >> 27247082

Identification and Differentiation of Monilinia Species Causing Brown Rot of Pome and Stone Fruit using High-Resolution Melting (HRM) Analysis.

Antonios Papavasileiou1, Panagiotis B Madesis1, George S Karaoglanidis1.   

Abstract

Brown rot is a devastating disease of stone fruit caused by Monilinia spp. Among these species, Monilinia fructicola is a quarantine pathogen in Europe but has recently been detected in several European countries. Identification of brown rot agents relies on morphological differences or use of molecular methods requiring fungal isolation. The current study was initiated to develop and validate a high-resolution melting (HRM) method for the identification of the Monilinia spp. and for the detection of M. fructicola among other brown rot pathogens. Based on the sequence of the cytb intron from M. laxa, M. fructicola, M. fructigena, M. mumecola, M. linhartiana, and M. yunnanensis isolates originating from several countries, a pair of universal primers for species identification and a pair of primers specific to M. fructicola were designed. The specificity of the primers was verified to ensure against cross-reaction with other fungal species. The melting curve analysis using the universal primers generated six different HRM curve profiles, each one specific for each species. Τhe HRM analysis primers specific to M. fructicola amplified a 120-bp region with a distinct melt profile corresponding to the presence of M. fructicola, regardless of the presence of other species. HRM analysis can be a useful tool for rapid identification and differentiation of the six Monilinia spp. using a single primer pair. This novel assay has the potential for simultaneous identification and differentiation of the closely related Monilinia spp. as well as for the differentiation of M. fructicola from other common pathogens or saprophytes that may occur on the diseased fruit.

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Keywords:  peach

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Year:  2016        PMID: 27247082     DOI: 10.1094/PHYTO-01-16-0016-R

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  7 in total

1.  Detection of sdhB Gene Mutations in SDHI-Resistant Isolates of Botrytis cinerea Using High Resolution Melting (HRM) Analysis.

Authors:  Anastasios Samaras; Panagiotis Madesis; George S Karaoglanidis
Journal:  Front Microbiol       Date:  2016-11-15       Impact factor: 5.640

2.  High-Resolution Melting (HRM) Curve Assay for the Identification of Eight Fusarium Species Causing Ear Rot in Maize.

Authors:  Simon Schiwek; Lukas Beule; Maria Vinas; Annette Pfordt; Andreas von Tiedemann; Petr Karlovsky
Journal:  Pathogens       Date:  2020-04-07

3.  Development of high-resolution melting PCR (HRM-PCR) assay to identify native fungal species associated with the wheat endosphere.

Authors:  Tomasz Cłapa; Katarzyna Mikołajczak; Lidia Błaszczyk; Dorota Narożna
Journal:  J Appl Genet       Date:  2020-08-23       Impact factor: 3.240

4.  Direct detection of Corynebacterium striatum, Corynebacterium propinquum, and Corynebacterium simulans in sputum samples by high-resolution melt curve analysis.

Authors:  Shuai Xu; Xiaotong Qiu; Xuexin Hou; Haijian Zhou; Dongke Chen; Xuebing Wang; Lichao Han; Dan Li; Lina Sun; Xingzhao Ji; Minghui Li; Jingshan Zhang; Mengtong Li; Zhenjun Li
Journal:  BMC Infect Dis       Date:  2021-01-07       Impact factor: 3.090

5.  Combination of Sodium Bicarbonate (SBC) with Bacterial Antagonists for the Control of Brown Rot Disease of Fruit.

Authors:  Nadia Lyousfi; Chaimaa Letrib; Ikram Legrifi; Abdelali Blenzar; Assia El Khetabi; Hajar El Hamss; Zineb Belabess; Essaid Ait Barka; Rachid Lahlali
Journal:  J Fungi (Basel)       Date:  2022-06-16

6.  The Diversity of Fungi Involved in Damage to Japanese Quince.

Authors:  Inta Jakobija; Biruta Bankina; Alise Klūga; Ance Roga; Edmunds Skinderskis; Dāvids Fridmanis
Journal:  Plants (Basel)       Date:  2022-09-29

Review 7.  DNA sequencing, genomes and genetic markers of microbes on fruits and vegetables.

Authors:  Youming Shen; Jiyun Nie; Lixue Kuang; Jianyi Zhang; Haifei Li
Journal:  Microb Biotechnol       Date:  2020-03-24       Impact factor: 5.813

  7 in total

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