Unity in defence: honeybee workers exhibit conserved molecular responses to diverse pathogens

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Fältnamn	Indikatorer	Metadata
000		05459naa a2200781 4500
001		oai:DiVA.org:umu-133518
003		SwePub
008		170520s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1335182 URI
024	7	a https://doi.org/10.1186/s12864-017-3597-62 DOI
040		a (SwePub)umu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Doublet, Vincent4 aut
245	1 0	a Unity in defence :b honeybee workers exhibit conserved molecular responses to diverse pathogens
264		c 2017-03-02
264	1	b BIOMED CENTRAL LTD,c 2017
338		a electronic2 rdacarrier
500		a Errata BMC Genomics 2017 18:256 https://doi.org/10.1186/s12864-017-3624-7
520		a 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.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Cell- och molekylärbiologi0 (SwePub)301082 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Cell and Molecular Biology0 (SwePub)301082 hsv//eng
653		a Apis mellifera
653		a Nosema
653		a Varroa destructor
653		a DWV
653		a IAPV
653		a RNA virus
653		a Meta-analysis
653		a Transcriptomics
653		a Co-expression network
653		a Immunity
700	1	a Poeschl, Yvonne4 aut
700	1	a Gogol-Doering, Andreas4 aut
700	1	a Alaux, Cedric4 aut
700	1	a Annoscia, Desiderato4 aut
700	1	a Aurori, Christian4 aut
700	1	a Barribeau, Seth M.4 aut
700	1	a Bedoya-Reina, Oscar C.4 aut
700	1	a Brown, Mark J. F.4 aut
700	1	a Bull, James C.4 aut
700	1	a Flenniken, Michelle L.4 aut
700	1	a Galbraith, David A.4 aut
700	1	a Genersch, Elke4 aut
700	1	a Gisder, Sebastian4 aut
700	1	a Grosse, Ivo4 aut
700	1	a Holt, Holly L.4 aut
700	1	a Hultmark, Danu Umeå universitet,Institutionen för molekylärbiologi (Medicinska fakulteten)4 aut0 (Swepub:umu)dahu0001
700	1	a Lattorff, H. Michael G.4 aut
700	1	a Le Conte, Yves4 aut
700	1	a Manfredini, Fabio4 aut
700	1	a McMahon, Dino P.4 aut
700	1	a Moritz, Robin F. A.4 aut
700	1	a Nazzi, Francesco4 aut
700	1	a Nino, Elina L.4 aut
700	1	a Nowick, Katja4 aut
700	1	a van Rij, Ronald P.4 aut
700	1	a Paxton, Robert J.4 aut
700	1	a Grozinger, Christina M.4 aut
710	2	a Umeå universitetb Institutionen för molekylärbiologi (Medicinska fakulteten)4 org
773	0	t BMC Genomicsd : BIOMED CENTRAL LTDg 18q 18x 1471-2164
856	4	u https://doi.org/10.1186/s12864-017-3597-6y Fulltext
856	4	u https://umu.diva-portal.org/smash/get/diva2:1096962/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856	4	u https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-017-3597-6
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-133518
856	4 8	u https://doi.org/10.1186/s12864-017-3597-6

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