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Proteomic insight into the interaction of Paenibacillus larvae with honey bee larvae before capping collected from an American foulbrood outbreak: Pathogen proteins within the host,lysis signatures and interaction markers
Authors:Tomas Erban  Bruno Sopko  Miroslava Bodrinova  Pavel Talacko  Julie Chalupnikova  Martin Markovic  Martin Kamler
Affiliation:1. Proteomics and Metabolomics Laboratory, Crop Research Institute, Prague, Czechia;2. Proteomics Core Facility, Faculty of Science, Charles University, Prague, Czechia;3. Bee Research Institute at Dol, Libcice nad Vltavou, Czechia
Abstract:American foulbrood (AFB) is a devastating disease of honey bees. There remains a gap in the understanding of the interactions between the causative agent and host, so we used shotgun proteomics to gain new insights. Nano-LC–MS/MS analysis preceded visual description and Paenibacillus larvae identification in the same individual sample. A further critical part of our methodology was that larvae before capping were used as the model stage. The identification of the virulence factors SplA, PlCBP49, enolase, and DnaK in all P. larvae-positive samples was consistent with previous studies. Furthermore, the results were consistent with the array of virulence factors identified in an in vitro study of P. larvae exoprotein fractions. Although an S-layer protein and a putative bacteriocin were highlighted as important, the microbial collagenase ColA and InhA were not found in our samples. The most important virulence factor identified was isoform of neutral metalloproteinase (UniProt: V9WB82), a major protein marker responsible for the shift in the PCA biplot. This protein is associated with larval decay and together with other virulence factors (bacteriocin) can play a key role in protection against secondary invaders. Overall, this study provides new knowledge on host-pathogen interactions and a new methodical approach to study the disease.
Keywords:Apis mellifera  neutral metalloproteinase isoforms  host-pathogen interaction  diagnostics with mass spectrometry  label-free proteomics
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