Literature DB >> 26850142

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

Shefali Dobhal1, Jennifer D Olson2, Mohammad Arif1, Johnny A Garcia Suarez3, Francisco M Ochoa-Corona4.   

Abstract

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 silico 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 1fg 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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biosecurity; Diagnostics; HRM; High Resolution Melting; SYBR-Green RT-qPCR; TaqMan RT-qPCR

Mesh:

Substances:

Year:  2016        PMID: 26850142     DOI: 10.1016/j.jviromet.2016.01.013

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  6 in total

1.  Identification of QTLs for Reduced Susceptibility to Rose Rosette Disease in Diploid Roses.

Authors:  Ellen L Young; Jeekin Lau; Nolan B Bentley; Zena Rawandoozi; Sara Collins; Mark T Windham; Patricia E Klein; David H Byrne; Oscar Riera-Lizarazu
Journal:  Pathogens       Date:  2022-06-08

2.  Genome-informed loop-mediated isothermal amplification assay for specific detection of Pectobacterium parmentieri in infected potato tissues and soil.

Authors:  Ryan Domingo; Cristian Perez; Diksha Klair; Huong Vu; Alika Candelario-Tochiki; Xupeng Wang; Amihan Camson; Jaclyn Nicole Uy; Mouauia Salameh; Dario Arizala; Shefali Dobhal; Gamze Boluk; Jon-Paul Bingham; Francisco Ochoa-Corona; Md Emran Ali; James P Stack; Jacqueline Fletcher; Jenee Odani; Daniel Jenkins; Anne M Alvarez; Mohammad Arif
Journal:  Sci Rep       Date:  2021-11-09       Impact factor: 4.379

3.  Probing Loop-Mediated Isothermal Amplification (LAMP) targeting two gene-fragments of rose rosette virus.

Authors:  Andrea Salazar; Francisco M Ochoa-Corona; Jennifer D Olson; Binoy Babu; Mathews Paret
Journal:  PLoS One       Date:  2021-11-29       Impact factor: 3.240

4.  Rose Rosette Disease Resistance Loci Detected in Two Interconnected Tetraploid Garden Rose Populations.

Authors:  Jeekin Lau; Ellen L Young; Sara Collins; Mark T Windham; Patricia E Klein; David H Byrne; Oscar Riera-Lizarazu
Journal:  Front Plant Sci       Date:  2022-07-07       Impact factor: 6.627

5.  Genome-informed diagnostics for specific and rapid detection of Pectobacterium species using recombinase polymerase amplification coupled with a lateral flow device.

Authors:  Firas A Ahmed; Adriana Larrea-Sarmiento; Anne M Alvarez; Mohammad Arif
Journal:  Sci Rep       Date:  2018-10-29       Impact factor: 4.379

6.  Development of a genome-informed loop-mediated isothermal amplification assay for rapid and specific detection of Xanthomonas euvesicatoria.

Authors:  Adriana Larrea-Sarmiento; Upasana Dhakal; Gamze Boluk; Lilly Fatdal; Anne Alvarez; Amanda Strayer-Scherer; Mathews Paret; Jeff Jones; Daniel Jenkins; Mohammad Arif
Journal:  Sci Rep       Date:  2018-09-24       Impact factor: 4.379

  6 in total

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