Expression of Sir2, Hdac1 and Ash2 in Honey Bee (Apis Mellifera L.) Queens and Workers

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The queen and worker bees have the same genetic makeup. However, the queen differs dramatically from the workers in anatomy, physiology, behavior, and lifespan. Three genes (sir2, ash2, and hdac1) have been shown to be associated with histone methylation and acetylation as well as longevity in worms and flies. The relative expression level of these genes was examined in the heads of queens and workers at different developmental stages. The sir2, ash2, and hdac1 expression levels in newly emerged queens, egg-laying queens, and egg-laying workers were significantly higher than those in newly emerged workers, nurses, and foragers. We conclude that these genes are possibly “queen-like” genes.

Barchuk A. R., Cristino A. S., Kucharski R., Costa L. F., Simões Z. L., Maleszka R. (2007) - Molecular determinants of caste differentiation in the highly eusocial honeybee Apis mellifera. BMC Dev Biol., 7: 70.

Beltran S., Angulo M., Pignatelli M., Serras F., Corominas M. (2007) - Functional dissection of the ash2 and ash1 transcriptomes provides insights into the transcriptional basis of wing phenotypes and reveals conserved protein interactions. Genome Biol., 8(4): R67.

Blander G., Guarente L. (2004) - The Sir2 family of protein deacetylases. Annu. Rev. Biochem., 73: 417-435.

Corona M., Velarde R. A., Remolina S., Moran-Lauter A., Wang Y., Hughes K. A., Robinson G. E. (2007) - Vitellogenin, juvenile hormone, insulin signaling, and queen honey bee longevity. Proc. Natl. Acad. Sci. U.S.A., 104(17): 7128-7133.

Dadant and sons (1979) - The hive and the honey bee, Dadant, Hamilton, pp. 50.

Dang W., Steffen K. K., Perry R., Dorsey J. A., Johnson F. B., Shilatifard A., Kaeberlein M., Kennedy B. K., Berger S. L. (2009) - Histone H4 lysine 16 acetylation regulates cellular lifespan. Nature, 459(7248): 802-807.

Foret S., Kucharski R., Pellegrini M., Feng S., Jacobsen S. E., Robinson G.E., Maleszka R. (2012) - DNA methylation dynamics, metabolic fluxes, gene splicing, and alternative phenotypes in honey bees. Proc. Nat. Acad. Sci. U. S. A., 109(13): 4968-4973.

Greer E. L., Maures T. J., Hauswirth A. G., Green E. M., Leeman D. S., Maro G. S., Han S., Banko M. R., Gozani O., Brunet A. (2010) - Members of the H3K4 trimethylation complex regulate lifespan in a germlinedependent manner in C. elegans. Nature, 466(7304): 383-387.

Grozinger C. M., Fan Y., Hoover S. E. R., Winston M. L. (2007) - Genome wide analysis reveals differences in brain gene expression patterns associated with caste and reproductive status in honey bees (Apis mellifera). Mol. Ecol., 16(22): 4837-4848.

Guidugli-Lazzarini K. R., do Nascimento A. M., Tanaka E. D., Piulachs M. D., Hartfelder K., Bitondi M. G., Simões Z. L. (2008) - Expression analysis of putative vitellogenin and lipophorin receptors in honey bee (Apismellifera L.) queens and workers. J. InsectPhysiol., 54(7): 1138-1147.

Hartfelder K., Tozetto S. O., Rachinsky A. (1993) - Sex-specific developmental profiles of juvenile hormone synthesis in honey bee larvae. Roux’s Arch. Dev. Biol., 202(3): 176-180.

Koywiwattrakul P., Sittipraneed S. (2009) - Expression of Vitellogenin and Transferrin in Activated Ovaries of Worker Honey Bees. Apis mellifera, Biochem. Genet., 47(1-2): 19-26.

Kucharski R., Maleszka J., Foret S., Maleszka R.(2008) - Nutritional control of reproductive status in honeybees via DNA methylation. Science, 319(5871): 1827-1830.

Liu W., Saint D. A. (2002) - A new quantitative method of real time reverse transcription polymerase chain reaction assay based on simulation of polymerase chain reaction kinetics. Anal. Biochem., 302(1): 52-59.

Lourenço A. P., Mackert A., Cristino A.S., Simões Z. L. P. (2008) - Validation of reference genes for gene expression studies in the honey bee, Apismellifera, by quantitative real-time RT-PCR. Apidologie, 39(3): 372-385.

Lyko F., Foret S., Kucharski R., Wolf S., Falckenhayn C., Maleszka R. (2010) - The honey bee epigenomes: differential methylation of brain DNA in queens and workers. PLoS Biol., 8(11): e1000506.

Münch D., Amdam G., Wolschin F. (2008) - Ageing in a eusocial insect: molecular and physiological characteristics of life span plasticity in the honey bee. Funct. Ecol., 22(3): 407-421.

Nelson C. M., Ihle K. E., Fondrk M. K., Page R. E., Amdam G. V. (2007) - The gene vitellogenin has multiple coordinating effects on social organization. PLoS Biol., 5(3): e62.

Rogina B, Helfand S. L. (2004) - Sir2 mediates longevity in the fly through a pathway related to calorie restriction. Proc. Nat. Acad. Sci. U. S. A., 101(45): 15998-6003.

Rogina B, Helfand S. L., Frankel S. (2002) - Longevity regulation by Drosophila Rpd3 deacetylase and caloric restriction. Science, 298(5599): 1745.

Schäfer M., Dietemann V., Pirk C. W. W., Neumann P., Crewe R., Hepburn H., Tautz J., Crailsheim K. (2006) - Individual versus social pathway to honeybee worker reproduction (Apismellifera): pollen or jelly as protein source for oogenesis? J. Comp. Physiol. A. Neuroethol. Sens. Neural. Behav. Physiol., 192(7): 761-768.

Seehuus S. C., Norberg K., Gimsa U., Krekling T., Amdam G. V. (2006) - Reproductive protein protects sterile honey bee workers from oxidative stress. Proc. Natl. Acad. Sci. U.S.A., 103(4): 962-967.

Siebold A.P., Banerjee R., Tie F., Kiss D. L., Moskowitz J., Harte P. J. (2010) - Polycomb Repressive Complex 2 and Trithorax modulate Drosophila longevity and stress resistance. Proc. Nat. Acad. Sci. U. S. A., 107(1): 169-174.

Spannhoff A., Kim Y. K., Noel J., Raynal M., Gharibyan V., Su M. B., Zhou Y. Y., Li J., Castellano S., Sbardella G. (2011) - Histone deacetylase inhibitor activity in royal jelly might facilitate caste switching in bees. EMBO. Rep., 12(3): 238-243.

Winston M. L. (1987) - Biology of the honey bee. Harvard University Press, Cambridge, pp. 1-4, 59-69, 127, 296.

Journal of Apicultural Science

The Journal of Research Institute of Horticulture and Apicultural Research Association

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