Literature DB >> 28772274

A Review of Conventional PCR Assays for the Detection of Selected Phytopathogens of Wheat.

Adam Kuzdraliński1, Anna Kot, Hubert Szczerba, Michał Nowak, Marta Muszyńska.   

Abstract

Infection of phyllosphere (stems, leaves, husks, and grains) by pathogenic fungi reduces the wheat yield and grain quality. Detection of the main wheat pathogenic fungi provides information about species composition and allows effective and targeted plant treatment. Since conventional procedures for the detection of these organisms are unreliable and time consuming, diagnostic DNA-based methods are required. Nucleic acid amplification technologies are independent of the morphological and biochemical characteristics of fungi. Microorganisms do not need to be cultured. Therefore, a number of PCR-based methodologies have been developed for the identification of key pathogenic fungi, such as Fusarium spp., Puccinia spp., Zymoseptoria tritici, Parastagonospora nodorum, Blumeria graminis f. sp. tritici, and Pyrenophora tritici-repentis. This article reviews frequently used DNA regions for fungus identification and discusses already known PCR assays for detection of the aforementioned wheat pathogens. We demonstrate that PCR-based wheat pathogen identification assays require further research. In particular, the number of diagnostic tests for Fusarium graminearum, Puccinia spp., and P. tritici-repentis are insufficient.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Molecular identification; Phytopathology; Polymerase chain reaction; Wheat; Wheat pathogens

Mesh:

Substances:

Year:  2017        PMID: 28772274     DOI: 10.1159/000477544

Source DB:  PubMed          Journal:  J Mol Microbiol Biotechnol        ISSN: 1464-1801


  3 in total

1.  Varietal Screening of Durum Wheat Varieties for Resistance to Pyrenophora tritici-repentis (Tan Spot) under Field Conditions.

Authors:  Salma Tissaoui; Marwa Hassine; Amira Mougou-Hamdane; Ala Eddine Ben Araar; Romdhane Nasraoui; Bouzid Nasraoui
Journal:  Biomed Res Int       Date:  2022-05-27       Impact factor: 3.246

Review 2.  Loop-Mediated Isothermal Amplification for Detection of Plant Pathogens in Wheat (Triticum aestivum).

Authors:  Sandra V Gomez-Gutierrez; Stephen B Goodwin
Journal:  Front Plant Sci       Date:  2022-03-15       Impact factor: 5.753

Review 3.  Plant Pest Detection Using an Artificial Nose System: A Review.

Authors:  Shaoqing Cui; Peter Ling; Heping Zhu; Harold M Keener
Journal:  Sensors (Basel)       Date:  2018-01-28       Impact factor: 3.576

  3 in total

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