dc.contributor.author | Doublet, VBS | |
dc.contributor.author | Poeschl, Y | |
dc.contributor.author | Gogol-Döring, A | |
dc.contributor.author | Alaux, C | |
dc.contributor.author | Annoscia, D | |
dc.contributor.author | Aurori, C | |
dc.contributor.author | Barribeau, SM | |
dc.contributor.author | Bedoya-Reina, OC | |
dc.contributor.author | Brown, MJF | |
dc.contributor.author | Bull, JC | |
dc.contributor.author | Flenniken, ML | |
dc.contributor.author | Galbraith, DA | |
dc.contributor.author | Genersch, E | |
dc.contributor.author | Gisder, S | |
dc.contributor.author | Grosse, I | |
dc.contributor.author | Holt, HL | |
dc.contributor.author | Hultmark, D | |
dc.contributor.author | Lattorff, HMG | |
dc.contributor.author | Le Conte, Y | |
dc.contributor.author | Manfredini, F | |
dc.contributor.author | McMahon, DP | |
dc.contributor.author | Moritz, RFA | |
dc.contributor.author | Nazzi, F | |
dc.contributor.author | Niño, EL | |
dc.contributor.author | Nowick, K | |
dc.contributor.author | van Rij, RP | |
dc.contributor.author | Paxton, RJ | |
dc.contributor.author | Grozinger, CM | |
dc.date.accessioned | 2017-03-06T15:45:09Z | |
dc.date.issued | 2017-03-02 | |
dc.description.abstract | 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. | en_GB |
dc.description.sponsorship | This article is a joint effort of the working group TRANSBEE and an
outcome of two workshops kindly supported by sDiv, the Synthesis
Centre for Biodiversity Sciences within the German Centre for Integrative
Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Science
Foundation (FZT 118). New datasets were performed thanks to the Insect
Pollinators Initiative (IPI grant BB/I000100/1 and BB/I000151/1), with participation
of the UK-USA exchange funded by the BBSRC BB/I025220/1 (datasets #4,
11 and 14). The IPI is funded jointly by the Biotechnology and Biological
Sciences Research Council, the Department for Environment, Food and Rural
Affairs, the Natural Environment Research Council, the Scottish Government
and the Wellcome Trust, under the Living with Environmental Change
Partnership | en_GB |
dc.identifier.citation | Vol. 18: 207 | en_GB |
dc.identifier.doi | 10.1186/s12864-017-3597-6 | |
dc.identifier.uri | http://hdl.handle.net/10871/26261 | |
dc.language.iso | en | en_GB |
dc.publisher | BioMed Central | en_GB |
dc.rights | © The Author(s). 2017. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated | en_GB |
dc.subject | Apis mellifera | en_GB |
dc.subject | Nosema | en_GB |
dc.subject | Varroa destructor | en_GB |
dc.subject | DWV | en_GB |
dc.subject | IAPV | en_GB |
dc.subject | RNA virus | en_GB |
dc.subject | Meta-analysis | en_GB |
dc.subject | Transcriptomics | en_GB |
dc.subject | Co-expression network | en_GB |
dc.subject | Immunity | en_GB |
dc.title | Unity in defence: honeybee workers exhibit conserved molecular responses to diverse pathogens | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2017-03-06T15:45:09Z | |
dc.identifier.issn | 1471-2164 | |
pubs.declined | 2017-03-06T12:46:59.464+0000 | |
dc.description | This is the final version of the article. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | BMC Genomics | en_GB |