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Droplet Digital PCR Technology for Detection of Ilyonectria liriodendri from Grapevine Environmental Samples

机译:液滴数字PCR技术,用于从葡萄环境样本中检测Ilyonectria Liroyendri

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摘要

Black-foot disease is one of the most important soilborne diseases affecting planting material in grapevine nurseries and young vineyards. Accurate, early, and specific detection and quantification of black-foot disease causing fungi are essential to alert growers and nurseries to the presence of the pathogens in soil, and to prevent the spread of these pathogens through grapevines using certified pathogen-free planting material and development of resistance. We comparatively assessed the accuracy, efficiency, and specificity of droplet digital PCR (ddPCR) and real-time PCR (qPCR) techniques for the detection and quantification of Ilyonectria liriodendri in bulk and rhizosphere soils, as well as grapevine endorhizosphere. Fungal abundance was not affected by soil-plant fractions. Both techniques showed a high degree of correlation across the samples assessed (R-2 = 0.95) with ddPCR being more sensitive to lower target concentrations. Roots of asymptomatic vines were found to be a microbial niche that is inhabited by black-foot disease fungi.
机译:黑脚疾病是影响葡萄苗圃和幼葡萄园的种植材料的最重要的土壤疾病之一。对黑色疾病的准确,早期和特异性检测和定量导致真菌是针对土壤中病原体的存在,并防止这些病原体通过葡萄种使用认证的病原体种植材料的蔓延至关重要抵抗力的发展。我们相比评估了液滴数码PCR(DDPCR)和实时PCR(QPCR)技术的准确性,效率和特异性,用于散装和根际土壤中的Ilyonectria Liriodendri的检测和定量,以及葡萄末端圈。真菌丰度不受土壤植物级分的影响。两种技术在评估的样品(R-2 = 0.95)上显示出高度相关性(R-2 = 0.95),DDPCR对较低的目标浓度更敏感。发现无症状葡萄藤的根部是黑脚疾病真菌居住的微生物利基。

著录项

  • 来源
    《Plant Disease》 |2020年第4期|共7页
  • 作者单位

    Estn Viticultura &

    Enol Galicia AGACAL EVEGA Ponte San Clodio S-N Leiro Ourense 32428 Spain;

    Univ La Rioja Inst Ciencias Vid &

    Vino ICVV CSIC Gobierno La Rioja Ctra Burgos Km 6 Logrono 26007 Spain;

    Univ Politecn Valencia Inst Agroforestal Mediterraneo Camino Vera S-N Valencia 46022 Spain;

    Univ La Rioja Inst Ciencias Vid &

    Vino ICVV CSIC Gobierno La Rioja Ctra Burgos Km 6 Logrono 26007 Spain;

    Estn Viticultura &

    Enol Galicia AGACAL EVEGA Ponte San Clodio S-N Leiro Ourense 32428 Spain;

    Univ La Rioja Inst Ciencias Vid &

    Vino ICVV CSIC Gobierno La Rioja Ctra Burgos Km 6 Logrono 26007 Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 植物保护;
  • 关键词

    fungi; fruit; tree fruits; pathogen detection;

    机译:真菌;水果;树果;病原体检测;

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