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High-Resolution Melting (HRM) Curve Assay for the Identification of Eight Fusarium Species Causing Ear Rot in Maize
Maize plants are often infected with fungal pathogens of the genus . Taxonomic characterization of these species by microscopic examination of pure cultures or assignment to mating populations is time-consuming and requires specific expertise. Reliable taxonomic assignment may be strengthened by the...
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Published in: | Pathogens (Basel) 2020-04, Vol.9 (4), p.270 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Maize plants are often infected with fungal pathogens of the genus
. Taxonomic characterization of these species by microscopic examination of pure cultures or assignment to mating populations is time-consuming and requires specific expertise. Reliable taxonomic assignment may be strengthened by the analysis of DNA sequences. Species-specific PCR assays are available for most
pathogens, but the number of species that infect maize increases the labor and costs required for analysis. In this work, a diagnostic assay for major
pathogens of maize based on the analysis of melting curves of PCR amplicons was established. Short segments of genes
and
, which have been widely used in molecular taxonomy of
, were amplified with universal primers in a real-time thermocycler and high-resolution melting (HRM) curves of the products were recorded. Among major
pathogens of maize ears,
, and
, all species except for the pair
could be distinguished by HRM analysis of a 304 bp segment of the
gene. The latter two species could be differentiated by HRM analysis of a 247 bp segment of the
gene. The assay was validated with DNA extracted from pure cultures of fungal strains, successfully applied to total DNA extracted from infected maize ears and also to fungal mycelium that was added directly to the PCR master mix ("colony PCR"). HRM analysis thus offers a cost-efficient method suitable for the diagnosis of multiple fungal pathogens. |
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ISSN: | 2076-0817 2076-0817 |
DOI: | 10.3390/pathogens9040270 |