A Multiplex PCR System for the Specific Detection of Cylindrocarpon liriodendri, C. macrodidymum, and C. pauciseptatum from Grapevine

Author:

Alaniz Sandra1,Armengol Josep1,García-Jiménez José1,Abad-Campos Paloma1,León Maela1

Affiliation:

1. Instituto Agroforestal Mediterráneo, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022-Valencia, Spain

Abstract

Cylindrocarpon liriodendri and C. macrodidymum are the causal agents of grapevine black foot disease. Recently, a third species, C. pauciseptatum, has been isolated from roots of grapevine showing decline symptoms. Currently, reliable identification of isolates of these species through phenotypical characteristics has not been possible. The polymerase chain reaction (PCR)-based method developed in this study allows a quick and easy detection of Cylindrocarpon spp. associated with grapevine. Three primer pairs annealing to variable, partly species-specific sites of the internal transcribed spacer regions amplified species-specific PCR fragments of different sizes in C. liriodendri, C. macrodidymum, and C. pauciseptatum in a multiplex assay with DNA obtained with both quick and traditional extraction methods. They did not generate any PCR product in other fungal trunk pathogens or contaminants commonly associated with grapevines. When universal fungal ITS primers were used in a nested multiplex PCR, the three primer pairs also detected C. liriodendri, C. macrodidymum, and C. pauciseptatum in total DNA extracted from roots of inoculated grapevines. The designed methods can be used for the diagnosis of these fungi from pure culture or infected grapevines.

Publisher

Scientific Societies

Subject

Plant Science,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