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Establishment of a quadruplex real-time PCR assay to distinguish the fungal pathogens Diaporthe longicolla, D. caulivora, D. eres, and D. novem on soybean.
Hosseini, Behnoush; Voegele, Ralf T; Link, Tobias I.
Afiliação
  • Hosseini B; Faculty of Agricultural Sciences, Department of Phytopathology, Institute of Phytomedicine, University of Hohenheim, Stuttgart, Germany.
  • Voegele RT; Faculty of Agricultural Sciences, Department of Phytopathology, Institute of Phytomedicine, University of Hohenheim, Stuttgart, Germany.
  • Link TI; Faculty of Agricultural Sciences, Department of Phytopathology, Institute of Phytomedicine, University of Hohenheim, Stuttgart, Germany.
PLoS One ; 16(9): e0257225, 2021.
Article em En | MEDLINE | ID: mdl-34506590
Diaporthe species are fungal plant pathogens of many important crops. Seed decay is one of the most important diseases on soybean. It is caused by various species of the genus Diaporthe and responsible for significant economic damage. In central Europe the four species D. longicolla, D. caulivora, D. eres, and D. novem are considered the principal species of Diaporthe on soybean. Fast and accurate detection of these pathogens is of utmost importance. In this study four species-specific TaqMan primer-probe sets that can be combined into a quadruplex assay were designed based on TEF sequences. The specificity and efficiency of the primer-probe sets were tested using PCR products and genomic DNA from pure cultures of the four Diaporthe species and other soybean fungal pathogens. Our results indicate that the primer-probe sets DPCL, DPCC, DPCE, and DPCN allow discrimination of D. longicolla, D. caulivora, D. eres, and D. novem, respectively, and can be used to detect and quantify these four Diaporthe species in parallel using quadruplex real-time PCR. In addition, the quadruplex real-time PCR assay was evaluated on different plant materials including healthy and infected soybean seeds or seed lots, soybean stems, and soybean leaves. This assay is a rapid and effective method to detect and quantify Diaporthe species from samples relevant for disease control.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Ascomicetos / Glycine max / Reação em Cadeia da Polimerase em Tempo Real Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Ascomicetos / Glycine max / Reação em Cadeia da Polimerase em Tempo Real Idioma: En Ano de publicação: 2021 Tipo de documento: Article