A simplified strategy for sensitive detection of Rose rosette virus compatible with three RT-PCR chemistries

被引:28
作者
Dobhal, Shefali [1 ,2 ,4 ]
Olson, Jennifer D. [2 ]
Arif, Mohammad [1 ,2 ]
Suarez, Johnny A. Garcia [1 ,2 ,3 ]
Ochoa-Corona, Francisco M. [1 ,2 ]
机构
[1] Natl Inst Microbial Forens & Food & Agr Biosecur, Stillwater, OK USA
[2] Oklahoma State Univ, Dept Entomol & Plant Pathol, Stillwater, OK 74078 USA
[3] Univ Fuerzas Armadas ESPE, Dept Ciencias Vida & Agr, Sangolqui, Ecuador
[4] Kansas State Univ, Dept Plant Pathol, Throckmorton Hall, Manhattan, KS 66506 USA
基金
美国食品与农业研究所;
关键词
Diagnostics; TaqMan RT-qPCR; SYBR-Green RT-qPCR; High Resolution Melting; HRM; Biosecurity; QUANTITATIVE PCR; REAL-TIME; PHYMATOTRICHOPSIS-OMNIVORA; SYBR GREEN; DISEASE; MULTIFLORA; ASSAYS; RNA;
D O I
10.1016/j.jviromet.2016.01.013
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Rose rosette disease is a disorder associated with infection by Rose rosette virus (RRV), a pathogen of roses that causes devastating effects on most garden cultivated varieties, and the wild invasive rose especially Rosa multiflora. Reliable and sensitive detection of this disease in early phases is needed to implement proper control measures. This study assesses a single primer-set based detection method for RRV and demonstrates its application in three different chemistries: Endpoint RT-PCR, TaqMan-quantitative RT-PCR (RT-qPCR) and SYBR Green RT-qPCR with High Resolution Melting analyses. A primer set (RRV2F/2R) was designed from consensus sequences of the nucleocapsid protein gene p3 located in the RNA 3 region of RRV. The specificity of primer set RRV2F/2R was validated in silica against published GenBank sequences and in-vitro against infected plant samples and an exclusivity panel of near-neighbor and other viruses that commonly infect Rosa spp. The developed assay is sensitive with a detection limit of 1 fg from infected plant tissue. Thirty rose samples from 8 different states of the United States were tested using the developed methods. The developed methods are sensitive and reliable, and can be used by diagnostic laboratories for routine testing and disease management decisions. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:47 / 56
页数:10
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