Establishment of dual reverse transcriptase-polymerase chain reaction for detection system for Areca palm velarivirus 1.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 19 12 2023
accepted: 03 05 2024
medline: 5 6 2024
pubmed: 5 6 2024
entrez: 5 6 2024
Statut: epublish

Résumé

Areca palm velarivirus 1 (APV1) is one of the main pathogen causing yellow leaf disease, and leading to considerable losses in the Areca palm industry. The detection methods for APV1 are primarily based on phenotype determination and molecular techniques, such as polymerase chain reaction (PCR). However, a single PCR has limitations in accuracy and sensitivity. Therefore, in the present study, we established a dual RT-PCR APV1-detection system with enhanced accuracy and sensitivity using two pairs of specific primers, YLDV2-F/YLDV2-R and YLDV4-F/YLDV4-R. Moreover, two cDNA fragments covering different regions of the viral genome were simultaneously amplified, with PCR amplicon of 311 and 499 bp, respectively. The dual RT-PCR detection system successfully amplified the two target regions of the APV1, demonstrating high specificity and sensitivity and compensating for the limitations of single-primer detection methods. We tested 60 Areca palm samples from different geographical regions, highlighting its advantages in that the dual RT-PCR system efficiently and accurately detected APV1 in samples across diverse areas. The dual RT-PCR APV1 detection system provides a rapid, accurate, and sensitive method for detecting the virus and offers valuable technical support for research in preventing and managing yellow leaf diseases caused by APV1 in Areca palms. Moreover, the findings of this study can serve as a reference for establishing similar plants viral detection systems in the future.

Identifiants

pubmed: 38838001
doi: 10.1371/journal.pone.0303941
pii: PONE-D-23-42800
doi:

Substances chimiques

DNA Primers 0
RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0303941

Informations de copyright

Copyright: © 2024 Peng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

no competing interests exist.

Auteurs

Chunlin Peng (C)

Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, China.
College of Life Sciences, Chongqing Normal University, Chongqing, China.

Benyi Fan (B)

Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, China.

Hui Zhu (H)

Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, China.

Liyun Liu (L)

Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, China.

Zhengwu Zhao (Z)

College of Life Sciences, Chongqing Normal University, Chongqing, China.

Liyun Huang (L)

Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, China.

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Classifications MeSH