Literature DB >> 21473885

Sampling and RNA quality for diagnosis of honey bee viruses using quantitative PCR.

Benjamin Dainat1, Jay D Evans, Yan Ping Chen, Peter Neumann.   

Abstract

Molecular diagnoses of pathogens via ribonucleic acid (RNA) signatures are used widely in honey bee pathology. Such diagnoses can be compromised by ubiquitous and endogenous RNA-degrading enzymes activated after the death of sampled bees. RNA degradation can be minimized by storage at ultra-cold temperatures or by immersion in high-salt buffers. However, these methods are not always available in the field or are costly, driving a search for alternative methods to store and transport bees for RNA analyses. While the impact of storage conditions on RNA integrity has been evaluated, the tolerance of standard RT-qPCR diagnostic methods of honey bee pathogens for suboptimal collection and storage is unknown. Given the short regions of RNA used for pathogen diagnosis (generally amplified regions of 100-200 nucleotides), it is conceivable that even degraded RNA will provide a template for precise diagnosis. In this study, the impact of the two most convenient sample storage and handling methods (+4°C and ambient temperature) for identifying honey bee virus infections was evaluated by RT-qPCR. The aim was to streamline the methods needed to collect, transport, and store honey bee samples destined for pathogen diagnosis. The data show that samples held at room temperature for times anticipated for sample transport for up to 5 days are suitable for diagnosis of two of the most common and prevalent honey bee viruses, deformed wing virus (DWV) and black queen cell virus (BQCV). The results will be useful for the standardisation of sampling methods across countries and laboratories.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21473885     DOI: 10.1016/j.jviromet.2011.03.029

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


  7 in total

1.  BeeDoctor, a versatile MLPA-based diagnostic tool for screening bee viruses.

Authors:  Lina De Smet; Jorgen Ravoet; Joachim R de Miranda; Tom Wenseleers; Matthias Y Mueller; Robin F A Moritz; Dirk C de Graaf
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

2.  Sequence recombination and conservation of Varroa destructor virus-1 and deformed wing virus in field collected honey bees (Apis mellifera).

Authors:  Hui Wang; Jiazheng Xie; Tim G Shreeve; Jinmin Ma; Denise W Pallett; Linda A King; Robert D Possee
Journal:  PLoS One       Date:  2013-09-18       Impact factor: 3.240

3.  Host sharing by the honey bee parasites Lotmaria passim and Nosema ceranae.

Authors:  Manuel Tritschler; Gina Retschnig; Orlando Yañez; Geoffrey R Williams; Peter Neumann
Journal:  Ecol Evol       Date:  2017-02-15       Impact factor: 2.912

4.  A Toolbox for Quantitative Gene Expression in Varroa destructor: RNA Degradation in Field Samples and Systematic Analysis of Reference Gene Stability.

Authors:  Ewan M Campbell; Catriona H McIntosh; Alan S Bowman
Journal:  PLoS One       Date:  2016-05-16       Impact factor: 3.240

5.  A Comparison of Wolbachia Infection Frequencies in Varroa With Prevalence of Deformed Wing Virus.

Authors:  Thorben Grau; Annely Brandt; Sara DeLeon; Marina Doris Meixner; Jakob Friedrich Strauß; Gerrit Joop; Arndt Telschow
Journal:  J Insect Sci       Date:  2017-05-01       Impact factor: 1.857

Review 6.  Bee Viruses: Routes of Infection in Hymenoptera.

Authors:  Orlando Yañez; Niels Piot; Anne Dalmon; Joachim R de Miranda; Panuwan Chantawannakul; Delphine Panziera; Esmaeil Amiri; Guy Smagghe; Declan Schroeder; Nor Chejanovsky
Journal:  Front Microbiol       Date:  2020-05-28       Impact factor: 5.640

7.  Molecular detection of black queen cell virus and Kashmir bee virus in honey.

Authors:  Vesna Milićević; Sonja Radojičić; Jasna Kureljušić; Milanko Šekler; Ksenija Nešić; Ljubiša Veljović; Jelena Maksimović Zorić; Vladimir Radosavljević
Journal:  AMB Express       Date:  2018-08-07       Impact factor: 3.298

  7 in total

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