Development of LAMP and droplet digital PCR methods for differentiation between Cydia pomonella (L.) and Grapholita molesta (Busck)

Author:

yang Li-feng1,Zhang Wan-min2,Zhang Hua-yue1,Chu Dong1

Affiliation:

1. Qingdao Agricultural University

2. Liaoning Technological Center of Green Agriculture

Abstract

Abstract

The codling moth, Cydia pomonella (L.), is an economically important key fruit pest worldwide. In China, C. pomonella was first discovered in 1953 and has since been introduced into at least eight provinces. The monitoring of C. pomonella using sex pheromones is essential for controlling this destructive pest and preventing its spread from infested areas. However, the sex pheromone of C. pomonella also has strong attractive effects on Grapholita molesta (Busck), which results in the mixture of the two pest insects. Furthermore, capturing individuals, especially during the early phase of spread, is challenging due to the limited number of introductions. Thus, it is crucial to provide an accurate and rapid diagnostic method to differentiate them. To develop such a method for distinguishing between C. pomonella and G. molesta, we initially selected a set of C. pomonella specific-LAMP primers from seven designed sets of candidate primers and its sensitivity was evaluated using DNA. Finally, the effectiveness of the method was proven using insect tissue and a temperature-controlled, insulated cup. Additionally, the optimal reaction temperature, specificity, and sensitivity of the C. pomonella ddPCR-primer were determined. The development of the C. pomonella LAMP and ddPCR methods provide tools for the monitoring of C. pomonella in China.

Publisher

Springer Science and Business Media LLC

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