Issue |
Apidologie
Volume 39, Number 6, November-December 2008
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Page(s) | 607 - 617 | |
DOI | https://doi.org/10.1051/apido:2008040 | |
Published online | 08 October 2008 |
DOI: 10.1051/apido:2008040
Analytical sensitivity and specificity of a RT-PCR for the diagnosis and characterization of the spatial distribution of three Apis mellifera viral diseases in Spain
Deborah Kukielka1, Andrés M. Perez2, Mariano Higes3, María del Carmen Bulboa1 and Jose Manuel Sánchez-Vizcaíno11 Animal Health Department, Faculty of Veterinary Science, Universidad Complutense de Madrid, Avda/ Puerta de Hierro s/n. 28040, Madrid, Spain
2 Center for Animal Disease Modeling and Surveillance, Dept. of Medicine and Epidemiology, School of Veterinary Medicine, University of California in Davis, USA, and CONICET, Argentina
3 Centro Apícola Regional, Junta de Comunidades de Castilla La Mancha, Guadalajara, Spain
Received 15 April 2008 – Revised 6 June 2008 – Accepted 11 June 2008 - Published online 8 October 2008
Abstract - The occurrence and spatial distribution of deformed wing virus (DWV), black queen cell virus (BQCV), and Kashmir bee virus (KBV) were assessed in 294 honeybee colonies in Spain by employing a SYBR-Green based real time RT-PCR. 60% of them were positive for both DWV and BQCV, and those two viruses were detected in 84% and 68% of the samples, respectively. Conversely, KBV was detected in only 1.7% of the samples. Increments in the number of bee colonies per region, adjusted by the number of samples collected, were associated with increased risk of finding DWV, BQCV, and KBV, as estimated by mixed Bayesian regression models. The residual risk for DWV, BQCV, and KBV decreased northerly and westerly, suggesting that factors or forces that favour the presence of these viruses could be more prevalent in southern and eastern regions of Spain. Results will be useful in the design and implementation of effective honeybee viral disease control and surveillance programs in Spain.
Key words: real time RT-PCR / Apis mellifera / RNA viruses / associated risk
© INRA, DIB-AGIB, EDP Sciences 2008