Rapid detection of 5 fungal diseases in sunflower (Helianthus annuus) using dual priming oligonucleotide system-based multiplex PCR and capillary electrophoresis.

Capillary electrophoresis DPO primers Fungal disease diagnosis Multiplex PCR Sunflower

Journal

SLAS technology
ISSN: 2472-6311
Titre abrégé: SLAS Technol
Pays: United States
ID NLM: 101697564

Informations de publication

Date de publication:
08 2022
Historique:
received: 29 10 2021
revised: 23 03 2022
accepted: 24 03 2022
pubmed: 4 4 2022
medline: 9 8 2022
entrez: 3 4 2022
Statut: ppublish

Résumé

Rapid and accurate diagnosis of fungal pathogens is essential for disease control in sunflower. In the present study, a multiplex PCR assay was developed based on the dual priming oligonucleotide (DPO) system, which was used to simultaneously detect and identify five major sunflower fungal pathogens. There was no cross-reactivity among the pathogens tested. In each reaction, 0.1 ng genomic DNA templates were sufficient to ensure specificity and accuracy. The system exhibited high adaptability over a wide range of annealing temperatures. No mismatch or nonspecific amplification was observed in the annealing temperatures tested. In combination with capillary electrophoresis, the DPO-primer-based multiplex PCR system provides a rapid, reliable and cost-efficient solution for the diagnosis of fungal pathogens in sunflower.

Identifiants

pubmed: 35367401
pii: S2472-6303(22)05097-X
doi: 10.1016/j.slast.2022.03.004
pii:
doi:

Substances chimiques

Oligonucleotides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

253-260

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interests The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Yike Qian reports financial support was provided by National Key R & D Projects of China. Yike Qian reports financial support was provided by Special Fund Project for Transformation of Scientific and Research Achievements of Xinjiang Science and Technology Department.

Auteurs

Yike Qian (Y)

Hubei Province Engineering Research Centre of Legume Plants, College of Life Sciences, Jianghan University, Wuhan, China.

Shuang Wei (S)

Guangzhou Customs Technology Center, Guangzhou, China.

Na Zhang (N)

Hubei Province Engineering Research Centre of Legume Plants, College of Life Sciences, Jianghan University, Wuhan, China.

Qianqian Yang (Q)

Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China.

Weimin Chen (W)

Yili Vocational and Technical College, Yining, China.

Xiaoqin Zhang (X)

Zhejiang Province Center for the Quality and Safety of Agricultural Products, Hangzhou, China.

Huixia Zhao (H)

Hubei Province Engineering Research Centre of Legume Plants, College of Life Sciences, Jianghan University, Wuhan, China. Electronic address: 121333271@qq.com.

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Classifications MeSH