Suppr超能文献

用于苹果组培苗离体繁殖过程中苹果锈果类病毒灵敏检测的逆转录液滴数字PCR检测方法的建立与应用

Development and application of reverse transcription droplet digital PCR assay for sensitive detection of apple scar skin viroid during in vitro propagation of apple plantlets.

作者信息

Lee Hyo-Jeong, Han Yeon Soo, Cho In-Sook, Jeong Rae-Dong

机构信息

Department of Applied Biology and Institute of Environmentally Friendly Agriculture, Chonnam National University, Gwangju, 61185, South Korea.

Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, RDA, Wanju, 55365, South Korea.

出版信息

Mol Cell Probes. 2022 Feb;61:101789. doi: 10.1016/j.mcp.2021.101789. Epub 2021 Dec 26.

Abstract

Apple scar skin viroid (ASSVd), of the genus Apscaviroid, causes serious pome fruit diseases, such as apple scar skin, dapple apple, pear rusty skin, pear fruit crinkle, and pear dimple fruit. This study aimed at establishing a sensitive and accurate method for quantification of ASSVd in apple leaves and plantlets using a reverse transcription droplet digital polymerase chain reaction (RT-ddPCR) assay. The specificity was analyzed using other apple viruses, and the negative amplification of the cross-reaction assay demonstrated the high specificity of RT-ddPCR. The detection limit of ASSVd by RT-ddPCR was 1.75 × 10 copies/μL (0.14 concentration), and the sensitivity was ten-fold higher than that of RT-qPCR. Similarly, positive detection in apple plantlet samples by RT-ddPCR was higher than that by RT-qPCR. The RT-ddPCR assay represents a promising alternative for accurate quantitative detection and diagnosis of ASSVd infection in ASSVd-free certification programs.

摘要

苹果锈果类病毒(ASSVd)属于苹果锈果类病毒属,可引发严重的梨果病害,如苹果锈果病、花脸苹果病、梨锈皮病、梨果皱缩病和梨缩果病。本研究旨在建立一种灵敏且准确的方法,利用逆转录液滴数字聚合酶链反应(RT-ddPCR)检测法对苹果叶片和组培苗中的ASSVd进行定量分析。通过使用其他苹果病毒分析其特异性,交叉反应检测的阴性扩增结果证明了RT-ddPCR具有高度特异性。RT-ddPCR对ASSVd的检测限为1.75×10拷贝/微升(浓度为0.14),灵敏度比RT-qPCR高10倍。同样,RT-ddPCR对苹果组培苗样品的阳性检测率高于RT-qPCR。RT-ddPCR检测法是在无ASSVd认证项目中对ASSVd感染进行准确定量检测和诊断的一种有前景的替代方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验