TY - JOUR A1 - McMahon, Dino Peter A1 - Natsopoulou, M. E. A1 - Doublet, V. A1 - Fürst, M. A1 - Weging, S. A1 - Brown, M. J. F. A1 - Gogol-Döring, A. A1 - Paxton, R. J. T1 - Elevated virulence of an emerging viral genotype as a driver of honeybee loss JF - Proceedings of the Royal Society B: Biological Sciences N2 - Emerging infectious diseases (EIDs) have contributed significantly to the current biodiversity crisis, leading to widespread epidemics and population loss. Owing to genetic variation in pathogen virulence, a complete understanding of species decline requires the accurate identification and characterization of EIDs. We explore this issue in the Western honeybee, where increasing mortality of populations in the Northern Hemisphere has caused major concern. Specifically, we investigate the importance of genetic identity of the main suspect in mortality, deformed wing virus (DWV), in driving honeybee loss. Using laboratory experiments and a systematic field survey, we demonstrate that an emerging DWV genotype (DWV-B) is more virulent than the established DWV genotype (DWV-A) and is widespread in the landscape. Furthermore, we show in a simple model that colonies infected with DWV-B collapse sooner than colonies infected with DWV-A. We also identify potential for rapid DWV evolution by revealing extensive genome-wide recombination in vivo. The emergence of DWV-B in naive honeybee populations, including via recombination with DWV-A, could be of significant ecological and economic importance. Our findings emphasize that knowledge of pathogen genetic identity and diversity is critical to understanding drivers of species decline. KW - Virulence KW - Emerging infectious disease KW - Pollinator KW - Decline PY - 2016 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-368030 DO - https://doi.org/10.1098/rspb.2016.0811 SN - 0962-8452 VL - 283 IS - 1833 SP - Article 0811, 1 EP - 8 AN - OPUS4-36803 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Doublet, V. A1 - Poeschl, Y. A1 - Gogol-Döring, A. A1 - Alaux, C. A1 - Annoscia, D. A1 - Aurori, C. A1 - Barribeau, S. M. A1 - Bedoya-Reina, O. C. A1 - Brown, M. J. F. A1 - Bull, J. C. A1 - Flenniken, M. L. A1 - Galbraith, D. A. A1 - Genersch, E. A1 - Gisder, S. A1 - Grosse, I. A1 - Holt, H. L. A1 - Hultmark, D. A1 - Lattorff, H. M. G. A1 - Le Conte, Y. A1 - Manfredini, F. A1 - McMahon, Dino Peter A1 - Moritz, R. F. A. A1 - Nazzi, F. A1 - Niño, E. L. A1 - Nowick, K. A1 - Van Rij, R. P. A1 - Paxton, R. J. A1 - Grozinger, C. M. T1 - Unity in defence: honeybee workers exhibit conserved molecular responses to diverse pathogens JF - BMC Genomics N2 - Background: Organisms typically face infection by diverse pathogens, and hosts are thought to have developed specific responses to each type of pathogen they encounter. The advent of transcriptomics now makes it possible to test this hypothesis and compare host gene expression responses to multiple pathogens at a genome-wide scale. Here, we performed a meta-analysis of multiple published and new transcriptomes using a newly developed bioinformatics approach that filters genes based on their expression profile across datasets. Thereby, we identified common and unique molecular responses of a model host species, the honey bee (Apis mellifera), to its major pathogens and parasites: the Microsporidia Nosema apis and Nosema ceranae, RNA viruses, and the ectoparasitic mite Varroa destructor, which transmits viruses. Results: We identified a common suite of genes and conserved molecular pathways that respond to all investigated pathogens, a result that suggests a commonality in response mechanisms to diverse pathogens. We found that genes differentially expressed after infection exhibit a higher evolutionary rate than non-differentially expressed genes. Using our new bioinformatics approach, we unveiled additional pathogen-specific responses of honey bees; we found that apoptosis appeared to be an important response following microsporidian infection, while genes from the immune signalling pathways, Toll and Imd, were differentially expressed after Varroa/virus infection. Finally, we applied our bioinformatics approach and generated a gene co-expression network to identify highly connected (hub) genes that may represent important mediators and regulators of anti-pathogen responses. Conclusions: Our meta-analysis generated a comprehensive overview of the host metabolic and other biological processes that mediate interactions between insects and their pathogens. We identified key host genes and pathways that respond to phylogenetically diverse pathogens, representing an important source for future functional studies as well as offering new routes to identify or generate pathogen resilient honey bee stocks. The statistical and bioinformatics approaches that were developed for this study are broadly applicable to synthesize information across transcriptomic datasets. These approaches will likely have utility in addressing a variety of biological questions. KW - Coexpression KW - Apis mellifera KW - Nosema KW - Varroa destructor KW - DWV KW - IAPV KW - RNA virus KW - Meta-analysis KW - Transcriptomics PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-410439 DO - https://doi.org/10.1186/s12864-017-3597-6 SN - 1471-2164 VL - 18 SP - 207 EP - 224 AN - OPUS4-41043 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -