Literature DB >> 23891873

Validation of high-throughput real time polymerase chain reaction assays for simultaneous detection of invasive citrus pathogens.

Maria Saponari1, Giuliana Loconsole, Hui-Hong Liao, Bo Jiang, Vito Savino, Raymond K Yokomi.   

Abstract

A number of important citrus pathogens are spread by graft propagation, arthropod vector transmission and inadvertent import and dissemination of infected plants. For these reasons, citrus disease management and clean stock programs require pathogen detection systems which are economical and sensitive to maintain a healthy industry. To this end, multiplex quantitative real-time PCR (qPCR) assays were developed allowing high-throughput and simultaneous detection of some major invasive citrus pathogens. Automated high-throughput extraction comparing several bead-based commercial extraction kits were tested and compared with tissue print and manual extraction to obtain nucleic acids from healthy and pathogen-infected citrus trees from greenhouse in planta collections and field. Total nucleic acids were used as templates for pathogen detection. Multiplex reverse transcription-qPCR (RT-qPCR) assays were developed for simultaneous detection of six targets including a virus, two viroids, a bacterium associated with huanglongbing and a citrus RNA internal control. Specifically, two one-step TaqMan-based multiplex RT-qPCR assays were developed and tested with target templates to determine sensitivity and detection efficiency. The first assay included primers and probes for 'Candidatus Liberibacter asiaticus' (CLas) and Citrus tristeza virus (CTV) broad spectrum detection and genotype differentiation (VT- and T3-like genotypes). The second assay contained primers and probes for Hop stunt viroid (HSVd), Citrus exocortis viroid (CEVd) and the mitochondrial NADH dehydrogenase (nad5) mRNA as an internal citrus host control. Primers and TaqMan probes for the viroids were designed in this work; whereas those for the other pathogens were from reports of others. Based on quantitation cycle values, automated high-throughput extraction of samples proved to be as suitable as manual extraction. The multiplex RT-qPCR assays detected both RNA and DNA pathogens in the same dilution series as singleplex assays and yielded similar quantitation cycle values. Taken together, high throughput extraction and multiplex RT-qPCR assays reported in this study provided a rapid and standardized method for routine and simultaneous diagnosis of different RNA and DNA citrus pathogens. Published by Elsevier B.V.

Entities:  

Keywords:  Citrus pathogens; Detection; Real time-PCR multiplex assay

Mesh:

Year:  2013        PMID: 23891873     DOI: 10.1016/j.jviromet.2013.07.002

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


  4 in total

1.  Responses of Passiflora spp. to cowpea aphid-borne mosaic virus reveal infection in asymptomatic plants and new species with probable immunity.

Authors:  Zanon Santana Gonçalves; Onildo Nunes Jesus; Lucas Kennedy Silva Lima; Ronan Xavier Corrêa
Journal:  Arch Virol       Date:  2021-06-16       Impact factor: 2.574

2.  Multiplex detection of "Candidatus Liberibacter asiaticus" and Spiroplasma citri by qPCR and droplet digital PCR.

Authors:  Yogita Maheshwari; Vijayanandraj Selvaraj; Kristine Godfrey; Subhas Hajeri; Raymond Yokomi
Journal:  PLoS One       Date:  2021-03-17       Impact factor: 3.240

3.  Real-time multiplex PCR for simultaneous detection of multiple species from environmental DNA: an application on two Japanese medaka species.

Authors:  Satsuki Tsuji; Yuka Iguchi; Naoki Shibata; Iori Teramura; Tadao Kitagawa; Hiroki Yamanaka
Journal:  Sci Rep       Date:  2018-06-14       Impact factor: 4.379

Review 4.  Viruses Infecting Trees and Herbs That Produce Edible Fleshy Fruits with a Prominent Value in the Global Market: An Evolutionary Perspective.

Authors:  Lizette Liliana Rodríguez-Verástegui; Candy Yuriria Ramírez-Zavaleta; María Fernanda Capilla-Hernández; Josefat Gregorio-Jorge
Journal:  Plants (Basel)       Date:  2022-01-13
  4 in total

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