Literature DB >> 24121133

Development and validation of a real-time two-step RT-qPCR TaqMan(®) assay for quantitation of Sacbrood virus (SBV) and its application to a field survey of symptomatic honey bee colonies.

Philippe Blanchard1, Sylvain Guillot2, Karina Antùnez3, Hemma Köglberger4, Per Kryger5, Joachim R de Miranda6, Stéphanie Franco2, Marie-Pierre Chauzat2, Richard Thiéry7, Magali Ribière2.   

Abstract

Sacbrood virus (SBV) is the causal agent of a disease of honey bee larvae, resulting in failure to pupate and causing death. The typical clinical symptom of SBV is an accumulation of SBV-rich fluid in swollen sub-cuticular pouches, forming the characteristic fluid-filled sac that gives its name to the disease. Outbreaks of the disease have been reported in different countries, affecting the development of the brood and causing losses in honey bee colonies. Today, few data are available on the SBV viral load in the case of overt disease in larvae, or for the behavioural changes of SBV-infected adult bees. A two-step real-time RT-PCR assay, based on TaqMan(®) technology using a fluorescent probe (FAM-TAMRA) was therefore developed to quantify Sacbrood virus in larvae, pupae and adult bees from symptomatic apiaries. This assay was first validated according to the recent XP-U47-600 standard issued by the French Standards Institute, where the reliability and the repeatability of the results and the performance of the assay were confirmed. The performance of the qPCR assay was validated over the 6 log range of the standard curve (i.e. from 10(2) to 10(8) copies per well) with a measurement uncertainty evaluated at 0.11log10. The detection and quantitation limits were established respectively at 50 copies and 100 copies of SBV genome, for a template volume of 5μl of cDNA. The RT-qPCR assay was applied during a French SBV outbreak in 2012 where larvae with typical SBV signs were collected, along with individuals without clinical signs. The SBV quantitation revealed that, in symptomatic larvae, the virus load was significantly higher than in samples without clinical signs. Combining quantitation with clinical data, a threshold of SBV viral load related to an overt disease was proposed (10(10) SBV genome copies per individual).
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Apis mellifera; Field survey; Real-time RT-PCR; Sacbrood virus (SBV); Validation

Mesh:

Year:  2013        PMID: 24121133     DOI: 10.1016/j.jviromet.2013.09.012

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


  15 in total

Review 1.  Molecular Detection and Differentiation of Arthropod, Fungal, Protozoan, Bacterial and Viral Pathogens of Honeybees.

Authors:  Lucas Lannutti; Fernanda Noemi Gonzales; Maria José Dus Santos; Mónica Florin-Christensen; Leonhard Schnittger
Journal:  Vet Sci       Date:  2022-05-02

2.  Evidence of Apis cerana Sacbrood virus Infection in Apis mellifera.

Authors:  Hong-Ri Gong; Xiu-Xian Chen; Yan Ping Chen; Fu-Liang Hu; Jiang-Lin Zhang; Zhe-Guang Lin; Ji-Wei Yu; Huo-Qing Zheng
Journal:  Appl Environ Microbiol       Date:  2016-04-04       Impact factor: 4.792

3.  A real-time PCR method for quantification of the total and major variant strains of the deformed wing virus.

Authors:  Emma L Bradford; Craig R Christie; Ewan M Campbell; Alan S Bowman
Journal:  PLoS One       Date:  2017-12-19       Impact factor: 3.240

4.  Cancer-derived Circulating MicroRNAs Promote Tumor Angiogenesis by Entering Dendritic Cells to Degrade Highly Complementary MicroRNAs.

Authors:  Jiaqi Wang; Huamao Ye; Dandan Zhang; Kai Cheng; Yijun Hu; Xiya Yu; Lei Lu; Jingjing Hu; Changjing Zuo; Baohua Qian; Yongwei Yu; Shupeng Liu; Geng Liu; Chuanbin Mao; Shanrong Liu
Journal:  Theranostics       Date:  2017-03-24       Impact factor: 11.556

5.  Quantitative patterns of vertical transmission of deformed wing virus in honey bees.

Authors:  Esmaeil Amiri; Per Kryger; Marina D Meixner; Micheline K Strand; David R Tarpy; Olav Rueppell
Journal:  PLoS One       Date:  2018-03-29       Impact factor: 3.240

6.  Iflavirus Covert Infection Increases Susceptibility to Nucleopolyhedrovirus Disease in Spodoptera exigua.

Authors:  Arkaitz Carballo; Trevor Williams; Rosa Murillo; Primitivo Caballero
Journal:  Viruses       Date:  2020-05-05       Impact factor: 5.048

7.  In-hive variation of the gut microbial composition of honey bee larvae and pupae from the same oviposition time.

Authors:  Zuzana Hroncova; Jiri Killer; Josef Hakl; Dalibor Titera; Jaroslav Havlik
Journal:  BMC Microbiol       Date:  2019-05-24       Impact factor: 3.605

8.  Health status of honey bee colonies (Apis mellifera) and disease-related risk factors for colony losses in Austria.

Authors:  Linde Morawetz; Hemma Köglberger; Antonia Griesbacher; Irmgard Derakhshifar; Karl Crailsheim; Robert Brodschneider; Rudolf Moosbeckhofer
Journal:  PLoS One       Date:  2019-07-09       Impact factor: 3.240

9.  Four Categories of Viral Infection Describe the Health Status of Honey Bee Colonies.

Authors:  Esmaeil Amiri; Marina Meixner; Steen Lykke Nielsen; Per Kryger
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

10.  The Iflaviruses Sacbrood virus and Deformed wing virus evoke different transcriptional responses in the honeybee which may facilitate their horizontal or vertical transmission.

Authors:  Eugene V Ryabov; Jessica M Fannon; Jonathan D Moore; Graham R Wood; David J Evans
Journal:  PeerJ       Date:  2016-01-18       Impact factor: 2.984

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