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Honey bee gene expression in response to Varroa mite
infestation
Yves Le Conte, Maria Navajas, Sandrine Cros-Arteil, Alain Migeon, Didier
Crauser, Jean-Marc Bécard, Charlie Whitfield, Gene E. Robinson
To cite this version:
Yves Le Conte, Maria Navajas, Sandrine Cros-Arteil, Alain Migeon, Didier Crauser, et al.. Honey bee gene expression in response to Varroa mite infestation. Honey bee genomics and biology, May 2007, New-York, United States. 1 p. �hal-02818342�
CSH Cold Spring Harbor Meeting “Honey bee genomics & Biology, New
York, USA, May 6 - 8, 2007 – ABSTRACT Yves Le Conte
HONEY BEE GENE EXPRESSION IN RESPONSE TO VARROA
MITE INFESTATION.
Yves Le Conte
1, Maria Navajas
2, Sandrine Cros-Arteil
2, Alain
Migeon
2, Didier Crauser
1, Jean-Marc Bécard
1, Charlie Whitfield and
Gene E. Robinson
31 INRA, UMR 406 Ecologie des invertébrés, Site Agroparc, 84914 Avignon
cedex 9, France
2 INRA, CBGP, UMR 1062, Campus Intern. Baillarguet, CS 30016, 34980
Montpellier-sur-Lez, France
3 Institute for Genomic Biology, Department of Entomology, University of
Illinois at Urbana-Champaign, 505 S. Goodwin Ave., Urbana, IL 61801, USA The effect of pathogens and pests on honey bee gene expression is a fundamental area of research, which can lead to new molecular tools for diagnostics and selective breeding in beekeeping. In that framework, we investigated whether the mite parasite Varroa destructor induces modifications in Apis. mellifera gene transcript levels, as a first step to identify pathways that are differentially expressed in bees in association with this parasite. As the reproduction of the mite can be modulated by the immature bees, we looked at gene expression in parasitized pupae. We compared parasitized and non-parasitized full-sister pupae, from two different genetic stocks: one susceptible and one resistant to Varroa. We used a honey bee cDNA microarray, which contained a total of ≈6,778 cDNAs representing ≈5,500 different genes, 40% of which have been annotated primarily by using comparisons to Drosophila genes and Gene Ontology. Confirmation of a selected set of functionally annotated bee transcripts obtained from microarray analysis was performed with real-time qRT-PCR. We identified a set of genes that showed differential expression as a function of parasitization, a different set that showed differential expression as a function of genotype, and a set of genes that were affected by both factors. These patterns, and some of these genes that define them, will be discussed.
This work was supported by FEOGA grant of the EC.