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

文献类型： 外文期刊

第一作者： Peng, Chunlin

作者： Peng, Chunlin;Fan, Benyi;Zhu, Hui;Liu, Liyun;Huang, Liyun;Peng, Chunlin;Zhao, Zhengwu

作者机构：

期刊名称：PLOS ONE （ 影响因子：2.6； 五年影响因子：3.2 ）

ISSN： 1932-6203

年卷期： 2024 年 19 卷 6 期

页码：

收录情况： SCI

摘要： 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.

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