LAMP‐based detection of Monilinia fructigena, Monilinia polystroma and Monilinia fructicola in latently infected apple fruit

Author:

Poniatowska Anna1ORCID,Michalecka Monika1ORCID,Puławska Joanna1ORCID

Affiliation:

1. The National Institute of Horticultural Research Skierniewice Poland

Abstract

AbstractBrown rot in apples is caused by fungi belonging to the genus Monilinia and occurs annually in orchards with varying severity. The symptoms of the disease on apple fruits may occur during harvest and can also develop much later in storage. Therefore, from a practical point of view, it is very important to be able to test a sample of asymptomatic apples before putting them in storage or sending them to distant markets. Thus, there is a need to develop a quick and sensitive method of detecting disease causal agents in asymptomatically infected fruit. For this purpose, a procedure for DNA isolation from the skin of apples was developed, and a set of primers for the loop‐mediated isothermal amplification (LAMP) reaction was designed based on a fragment of the hsp60 gene encoding heat shock protein 60 of Monilinia fungi that are pathogenic to apple: M. fructigena, M. fructicola and M. polystroma. The method was validated by reactions with DNA from infected apple fruit exhibiting brown rot symptoms and DNA from infected apple fruit without visible brown rot symptoms (latent infection). To increase the sensitivity of detection before the LAMP reaction, preamplification of the target DNA was carried out. The sensitivity of detection in the LAMP assay for the DNA of all three tested species of fungi was 2 pg. The DNA preamplification significantly increased the sensitivity of Monilinia DNA detection to 0.1 pg. This study shows that the developed LAMP method can be used to detect Monilinia fungi in asymptomatically infected apples.

Funder

National Center for Research and Development

Publisher

Wiley

Subject

Horticulture,Plant Science,Genetics,Agronomy and Crop Science

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