Three highly sensitive monoclonal antibody-based serological assays for the detection of tomato mottle mosaic virus

Author:

Li Xue,Guo Liqian,Guo Mengmeng,Qi Duo,Zhou Xueping,Li Fan,Wu JianxiangORCID

Abstract

AbstractIn recent years, tomato mottle mosaic virus (ToMMV) has become one of the most important viral pathogens affecting solanaceous crop production in Yunnan, Hainan, and Shandong provinces of China, often causing huge yield reductions. To provide farmers and vegetable industry with reliable and easy-to-use ToMMV detection methods, we immunized BALB/c mice with purified ToMMV and obtained six hybridoma cell lines (i.e., 2D6, 9C12, 26A10, 3A4, 23A4 and 17B11) that secrete anti-ToMMV monoclonal antibodies (MAbs) through the hybridoma technology. Using these MAbs as the detection antibody, we developed three serological assays: antigen-coated-plate enzyme-linked immunosorbent assay (ACP-ELISA), dot enzyme-linked immunosorbent assay (dot-ELISA) and tissue print enzyme-linked immunosorbent assay (tissue print-ELISA) for ToMMV detection. Our test results showed that these three newly developed serological methods can be used to specifically detect ToMMV infection in plant samples, but not tobacco mosaic virus, tomato mosaic virus, cucumber green mottle mosaic virus and cucumber mosaic virus. Sensitivity analyses further showed that ACP-ELISA and dot-ELISA can be used to detect ToMMV infection in plant crude extracts diluted at 1:81,920 and 1:40,960 (weight/volume, g/mL), respectively. Surprisingly, the detection limit of the developed dot-ELISA was 26 times higher than that of traditional RT-PCR. Using field-collected plant samples, we have demonstrated that these three new serological methods are accurate and easy-to-use for large-scale detection of ToMMV in fields.

Funder

national key r & d program of china

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3