EGFR gene methylation is not involved in Royalactin controlled phenotypic polymorphism in honey bees

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Kucharski, R ^a   Foret, S ^a   Maleszka, R ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR; GLYCOPROTEIN; INSECT PROTEIN; MRJP1 PROTEIN, APIS MELLIFERA;

ANATOMY AND HISTOLOGY; ANIMAL; BEE; CPG ISLAND; DNA METHYLATION; GENETIC ASSOCIATION STUDY; GENETICS; HIGH THROUGHPUT SEQUENCING; INSECT GENOME; OPEN READING FRAME; PHENOTYPE;

ANIMALS; BEES; CPG ISLANDS; DNA METHYLATION; GENETIC ASSOCIATION STUDIES; GENOME, INSECT; GLYCOPROTEINS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; INSECT PROTEINS; OPEN READING FRAMES; PHENOTYPE; RECEPTOR, EPIDERMAL GROWTH FACTOR;

EID: 84941367023     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep14070     Document Type: Article

References (29)

1. Maleszka, R. Epigenetic integration of environmental and genomic signals in honey bees: the critical interplay of nutritional, brain and reproductive networks. Epigenetics 3, 188-192 (2008).
2. Drapeau, M. D., Albert, S., Kucharski, R., Prusko, C. & Maleszka, R. Evolution of the Yellow/Major Royal Jelly Protein family and the emergence of social behavior in honey bees. Genome Res 16, 1385-1394 (2006).
3. Weaver, N. Rearing of Honeybee Larvae on Royal Jelly in the Laboratory. Science 121, 509-510 (1955).
4. Shuel, R. W. & Dixon, S. E. Studies in the mode of action of royal jelly in honeybee development II.Respiration of newly emerged larvae on various substrates. Can J Zoolog 37, 803-813 (1959).
5. Rembold, H. & Dietz, A. Biologically active substances in royal jelly. Vitamins & Hormones 23, 359-382 (1965).
6. Spannhoff, A. et al. Histone deacetylase inhibitor activity in royal jelly might facilitate caste switching in bees. Embo Reports 12, 238-243 (2011).
7. Maleszka, R. & Kucharski, R. Analysis of Drosophila yellow-B cDNA reveals a new family of proteins related to the royal jelly proteins in the honeybee and to an orphan protein in an unusual bacterium Deinococcus radiodurans. Biochem Biophys Res Commun 270, 773-776 (2000).
8. Foret, S., Kucharski, R., Pittelkow, Y., Lockett, G. A. & Maleszka, R. Epigenetic regulation of the honey bee transcriptome: unravelling the nature of methylated genes. BMC Genomics 10, 472 (2009).
9. Foret, S. et al. DNA methylation dynamics, metabolic fluxes, gene splicing, and alternative phenotypes in honey bees. P Natl Acad Sci USA 109, 4968-4973 (2012).
10. Metallo, C. M. & Vander Heiden, M. G. Metabolism strikes back: metabolic flux regulates cell signaling. Gene Dev 24, 2717-2722 (2010).
11. Wellen, K. E. et al. ATP-Citrate Lyase Links Cellular Metabolism to Histone Acetylation. Science 324, 1076-1080 (2009).
12. Kamakura, M. Royalactin induces queen differentiation in honeybees. Nature 473, 478-483 (2011).
13. Kucharski, R., Maleszka, J., Foret, S. & Maleszka, R. Nutritional control of reproductive status in honeybees via DNA methylation. Science 319, 1827-1830 (2008).
14. Lyko, F. & Maleszka, R. Insects as innovative models for functional studies of DNA methylation. Trends Genet 27, 127-131 (2011).
15. Lyko, F. et al. The Honey Bee Epigenomes: Differential Methylation of Brain DNA in Queens and Workers. Plos Biol 8, e1000506 (2010).
16. Herb, B. R. et al. Reversible switching between epigenetic states in honeybee behavioral subcastes. Nature Neuroscience 15, 1371-1373 (2012).
17. Miklos, G. L. G. & Maleszka, R. Epigenomic communication systems in humans and honey bees: From molecules to behavior. Horm Behav 59, 399-406 (2011).
18. Wang, Y. & Leung, F. C. C. In Silico Prediction of Two Classes of Honeybee Genes with CpG Deficiency or CpG Enrichment and Sorting According to Gene Ontology Classes. J Mol Evol 68, 700-705 (2009).
19. Tusnady, G. E., Simon, I., Varadi, A. & Aranyi, T. BiSearch: primer-design and search tool for PCR on bisulfite-treated genomes. Nucleic Acids Research 33, e9 (2005).
20. Warnecke, P. M. et al. Identification and resolution of artifacts in bisulfite sequencing. Methods 27, 101-107 (2002).
21. Lin, P., Foret, S., Wilson, S. R. & Burden, C. J. Estimation of the methylation pattern distribution from deep sequencing data. BMC Bioinformatics 16, 145 (2015).
22. Ji, L. et al. Methylated DNA is over-represented in whole-genome bisulfite sequencing data. Front Genet 5, 341 (2014).
23. Teleman, A. A. Privileged Signaling for Brain Growth. Cell 146, 346-347 (2011).
24. Patel, A. et al. The Making of a Queen: TOR Pathway Is a Key Player in Diphenic Caste Development. Plos One 2, e509 (2007).
25. Grandison, R. C., Piper, M. D. W. & Partridge, L. Amino-acid imbalance explains extension of lifespan by dietary restriction in Drosophila. Nature 462, 1061-1064 (2009).
26. Alvarado, S., Rajakumar, R., Abouheif, E. & Szyf, M. Epigenetic variation in the Egfr gene generates quantitative variation in a complex trait in ants. Nat Commun 6, 6513 (2015).
27. Maleszka, R., Mason, P. H. & Barron, A. B. Epigenomics and the concept of degeneracy in biological systems. Brief Funct Genomics 13, 191-202 (2014).
28. Wojciechowski, M. et al. Insights into DNA hydroxymethylation in the honeybee from in-depth analyses of TET dioxygenase. Open Biol 4, 140110 (2014).
29. Evans, J. D. et al. Standard methods for molecular research in Apis mellifera. J Apicult Res 52, 1-30 (2013).