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通过实时荧光定量PCR对土壤以及开心果的坚果和叶片中黄曲霉毒素生物防治菌株AF36进行定量分析。

Quantification of the Aflatoxin Biocontrol Strain AF36 in Soil and in Nuts and Leaves of Pistachio by Real-Time PCR.

作者信息

Garcia-Lopez M Teresa, Luo Yong, Ortega-Beltran Alejandro, Jaime Ramon, Moral Juan, Michailides Themis J

机构信息

Department of Agronomy (Maria de Maeztu Excellence Unit), University of Córdoba, Campus de Rabanales, 14071 Córdoba, Spain.

Department of Plant Pathology, University of California-Davis Kearney Agricultural Research and Extension Center, Parlier, CA 93648, U.S.A.

出版信息

Plant Dis. 2021 Jun;105(6):1657-1665. doi: 10.1094/PDIS-05-20-1097-RE. Epub 2021 Apr 26.

Abstract

The species and are commonly found in the soils of nut-growing areas in California. Several isolates can produce aflatoxins that occasionally contaminate nut kernels, conditioning their sale. Strain AF36 of , which does not produce aflatoxins, is registered as a biocontrol agent for use in almond, pistachio, and fig crops in California. After application in orchards, AF36 displaces aflatoxin-producing spp. and thus reduces aflatoxin contamination. Vegetative compatibility assays (VCAs) have traditionally been used to track AF36 in soils and crops where it has been applied. However, VCAs are labor intensive and time consuming. Here, we developed a quantitative real-time PCR (qPCR) protocol to quantify proportions of AF36 accurately and efficiently in different substrates. Specific primers to target AF36 and toxigenic strains of and were designed based on the sequence of , a gene essential for aflatoxin biosynthesis. Standard curves were generated to calculate proportions of AF36 based on threshold cycle values. Verification assays using pure DNA and conidial suspension mixtures demonstrated a significant relationship by regression analysis between known and qPCR-measured AF36 proportions in DNA ( = 0.974; < 0.001) and conidia mixtures ( = 0.950; < 0.001). Tests conducted by qPCR in pistachio leaves, nuts, and soil samples demonstrated the usefulness of the qPCR method to precisely quantify proportions of AF36 in diverse substrates, ensuring important time and cost savings. The outputs of this study will serve to design better aflatoxin management strategies for pistachio and other crops.

摘要

该物种和通常存在于加利福尼亚州坚果种植区的土壤中。几种分离株可产生黄曲霉毒素,偶尔会污染坚果果仁,影响其销售。不产生黄曲霉毒素的菌株AF36已注册为生物防治剂,用于加利福尼亚州的杏仁、开心果和无花果作物。在果园中施用后,AF36会取代产生黄曲霉毒素的物种,从而减少黄曲霉毒素污染。传统上,营养体亲和性测定(VCA)用于追踪施用AF36的土壤和作物中的AF36。然而,VCA劳动强度大且耗时。在此,我们开发了一种定量实时PCR(qPCR)方案,以准确、高效地定量不同底物中AF36的比例。基于黄曲霉毒素生物合成所必需的基因的序列,设计了靶向AF36以及和的产毒菌株的特异性引物。生成标准曲线以根据阈值循环值计算AF36的比例。使用纯DNA和分生孢子悬浮液混合物进行的验证试验通过回归分析表明,DNA中已知的和qPCR测量的AF36比例之间存在显著关系(=0.974;<0.001),分生孢子混合物中也是如此(=0.950;<0.001)。在开心果叶片、坚果和土壤样品中进行的qPCR测试证明了qPCR方法在精确定量不同底物中AF36比例方面的有用性,节省了大量时间和成本。本研究的结果将有助于为开心果和其他作物设计更好的黄曲霉毒素管理策略。

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