Literature DB >> 30795316

Identification of Monilinia fructigena, M. fructicola, M. laxa, and Monilia polystroma on Inoculated and Naturally Infected Fruit Using Multiplex PCR.

Marie-José Côté1, Marie-Claude Tardif2, Allison J Meldrum1.   

Abstract

Monilinia fructigena, M. fructicola, M. laxa, and Monilia polystroma each have a different regulatory status. To monitor imported and exported fruit for the presence of quarantined Monilinia or Monilia species, a timely identification method is required. Random amplified polymorphic DNA analysis was used to generate an M. fructigena-specific band that was characterized by sequencing. Using the sequence obtained, primers were designed to amplify bands in the same genomic region of M. fructicola and M. laxa. These bands were also characterized by sequencing. From all three sequences, a multiplex polymerase chain reaction (PCR) method based on a common reverse primer (MO368-5) and three species-specific forward primers (MO368-8R, MO368-10R, and Laxa-R2) was established for the differentiation of the three Monilinia species. The multiplex PCR was tested with additional isolates and consistently produced a 402-bp PCR product for M. fructigena, a 535-bp product for M. fructicola, and a 351-bp product for M. laxa. The method was also used with isolates of the recently characterized Monilia polystroma, and all isolates amplified a 425-bp PCR product. The identification method was shown to amplify a PCR product directly from inoculated apples, and the PCR band produced was specific to the inoculated Monilinia or Monilia species. Furthermore, the multiplex PCR was used to identify Monilinia species on naturally infected stone fruits. The method correctly identified infections by both M. laxa and M. fructicola by successful amplification of corresponding PCR products for each species.

Entities:  

Keywords:  brown rot; sequence characterized amplified region

Year:  2004        PMID: 30795316     DOI: 10.1094/PDIS.2004.88.11.1219

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


  4 in total

1.  Phylogenetic divergences in brown rot fungal pathogens of Monilinia species from a worldwide collection: inferences based on the nuclear versus mitochondrial genes.

Authors:  Ece Silan; Hilal Ozkilinc
Journal:  BMC Ecol Evol       Date:  2022-10-21

2.  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 3.  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

4.  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

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.