Literature DB >> 31306092

Rapid Detection of Monilinia fructicola and Monilinia laxa on Peach and Nectarine using Loop-Mediated Isothermal Amplification.

Sara Franco Ortega1, Maria Del Pilar Bustos López1,2, Luca Nari3, Neil Boonham4, Maria Lodovica Gullino1,2, Davide Spadaro1,2.   

Abstract

Monilinia laxa and M. fructicola are two causal agents of brown rot, one of the most important diseases in stone fruit. Two species cause blight on blossoms and twigs and brown rot on fruit in pre- and postharvest. Both species are distributed worldwide in North and South America, Australia, and Japan. In Europe, M. laxa is endemic, while M. fructicola was introduced in 2001 and it is now widespread in several countries. Currently, both species coexist in European stone fruit orchards. Monilinia spp. overwinter in cankers and mummified fruit. Mummy monitoring during winter permits growers to understand which species of Monilinia will be prevalent in an orchard during the following season, permitting planning of an appropriate crop protection. Traditionally, the identification has been carried out using morphological features and even with polymerase chain reaction (PCR)-based assays that requires time and well-equipped laboratories. In this study, two isothermal-based methods were designed to identify these pathogens in a faster way than using traditional methods. The loop-mediated amplification (LAMP) assays were validated on some isolates of Monilinia spp. coming from the mummy monitoring according to the international European and Mediterranean Plant Protection Organization standard (PM7/98), taking into account specificity, sensitivity, repeatability, and reproducibility. The sensitivity of both assays was checked by monitoring (at different time points) two nectarine varieties artificially inoculated and stored at two different temperatures. The reliability of both LAMP assays against the quantification of the inoculum was compared with previously published quantitative PCR assays. Both LAMP methods were able to detect a low number of cells. These LAMP methods could be a useful tool for monitoring brown rot causal agents in the field and during postharvest.

Entities:  

Keywords:  LAMP; brown rot; field; molecular diagnostics; nectarine; peach; techniques

Mesh:

Year:  2019        PMID: 31306092     DOI: 10.1094/PDIS-01-19-0035-RE

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


  5 in total

Review 1.  Metagenomics Approaches for the Detection and Surveillance of Emerging and Recurrent Plant Pathogens.

Authors:  Edoardo Piombo; Ahmed Abdelfattah; Samir Droby; Michael Wisniewski; Davide Spadaro; Leonardo Schena
Journal:  Microorganisms       Date:  2021-01-16

2.  Development of PCR, LAMP and qPCR Assays for the Detection of Aflatoxigenic Strains of Aspergillus flavus and A. parasiticus in Hazelnut.

Authors:  Sara Franco Ortega; Ilenia Siciliano; Simona Prencipe; Maria Lodovica Gullino; Davide Spadaro
Journal:  Toxins (Basel)       Date:  2020-11-30       Impact factor: 4.546

3.  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

Review 4.  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

5.  First Multi-Target Application of Exclusion Net in Nectarine Orchards: Effectiveness against Pests and Impact on Beneficial Arthropods, Postharvest Rots and Fruit Quality.

Authors:  Valentina Candian; Marco Giuseppe Pansa; Karin Santoro; Davide Spadaro; Rossella Briano; Cristiana Peano; Luciana Tavella; Rosemarie Tedeschi
Journal:  Insects       Date:  2021-03-02       Impact factor: 2.769

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.