Abstract
Paenibacillus larvae is a Gram-positive spore forming bacterium and is the causative agent of American Foulbrood (AFB), a highly contagious infectious disease of Apis Mellifera (the European honey bee), which results in hive death and significant economic losses within the apiary industry world-wide. AFB is typically diagnosed by visual identification which is labour intensive and highly operator dependent. In the absence of a low cost, rapid and reliable industry surveillance tool targeting AFB, the disease has spread around the world. Real-time polymerase chain reaction (rtPCR) is a potential AFB surveillance tool with a demonstrated high sensitivity for the detection and quantification of Paenibacillus larvae infections in Apis Mellifera hives. Current techniques result in the disturbance of the internal hive microclimate by opening and deconstructing the hive. Our research aims to develop a new, non-invasive, rtPCR technique for the detection of AFB in beehives without the need to open the hive.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rossi, F., Amadoro, C., Ruberto, A., Ricchiuti, L.: Comparison of Quantitative PCR (qPCR) Paenibacillus Larvae Targeted Assays and Definition of Optimal Conditions for its Detection/Quantification in Honey & Hive Debris. Preprint (2018)
Govan, V., Allsopp, M., Davison, S.: A PCR detection method for rapid identification of paenibacillus larvae. J. Appl. Environ. Microbiol. 65, 2243–2245 (1999)
Rusenova, N., Parvanov, P., Stanilova, S.: Development of multiplex PCR for fast detection of paenibaciilus larvae in putrid massess and in isolated bacterial colonies. J. Appl. Biochem. Microbiol. 49, 88–93 (2013)
Bassi, S., Formato, G., Milito, M., Trevisiol, K., Salogni, C., Carra, E.: Phenotypic Characterization and ERIC-PCR based genotyping of Paenibacillus larvae isolates recovered from American foulbrood outbreaks in honey bees from Italy. J. Vet. Q. 35, 27–32 (2015)
Martinez, J., Simon, V., Gonzalez, B., Conget, P.: A real time PCR based strategy for the detection of Paenibacillus larvae vegetative cells and spores to improve the diagnosis and screening of American foulbrood. Lett. Appl. Microbiol. 50, 603–610 (2010)
Dainat, B., Grossar, D., Ecoffey, B., Haldemann, C.: Triplex real time PCR method for the qualitative detection of European and American foulbrood in honeybee. J. Microbiol. Methods 146, 61–63 (2018)
Schafer, M., Genersch, E., Funfhaus, A., Poppinga, L., Formella, N., Bettin, B., Karger, A.: Rapid identification of differentially virulent genotypes of Paenibacillus larvae, the causative organism of American foulbrood of honey bees, by whole cell MALDI-TOF mass spectrometry. J. Vet. Microbiol. 170, 291–297 (2014)
Knazovicka, V., Miluchova, M., Gabor, M., Kacaniova, M., Melich, M., Krocko, M., Trakovicka, A.: Using real time PCR for identification of paenibacillus larvae. J. Anim. Sci. Biotechnol. 44, 424–431 (2011)
Datta, S., Bull, J., Budge, G., Keeling, M.: Modelling the spread of American foulbrood in honeybees. J. R. Soc. Interface 10, 20130650 (2013)
Somerville, D.: American Foulbrood. NSW Department of Primary Industries, Prime Fact Sheet (2015)
Potts, S., Imperatriz-Fonseca, V., Ngo, H., Biesmeijer, J., Breeze, T., Dicks, L., Garibaldi, L., Hill, R., Settele, J., Vanbergen, A.: Editorial, Summary for policymakers of the thematic assessment of pollinators, pollination and food production. Biota. Neotrop. 16, e20160101 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Lyall, D., Hansbro, P., Horvat, J., Stanwell, P. (2020). Quantitative Nondestructive Assessment of Paenibacillus larvae in Apis mellifera Hives. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_88
Download citation
DOI: https://doi.org/10.1007/978-3-030-27928-8_88
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27927-1
Online ISBN: 978-3-030-27928-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)