Effects of different environmental conditions on the cognitive function of honeybee (Apis mellifera L.) and mineral content of honey

Abstract

The aim of the present study was to determine the effect of local area inhabited by bee colonies on regional
efficiency, foraging behavior and the content of certain metal elements in honey. Bee colonies from the same genetic source in different
regions demonstrated significant variation (P<0.001) in behavior and performance. Initially, the number of forager worker bees exiting
and entering the hive was approximately equal to each other. However, over time a significant difference (P<0.001) occurred between
regions. Varying regional conditions caused considerable difference (P<0.001) in the average honey yields of colonies (between 28.60
± 3.27 and 0.571 ± 2.76 kg/colony). Significant differences (P<0.01) in the amount of wax produced were also observed between
regions. These regional differences were further reflected in concentrations of certain heavy metals in centrifugal honey samples.
Environmental effects were determined to be the most important reason for the differences in all phenotypes, such as behavior, honey
yield and heavy metal concentrations in honey. Those colonies inhabiting industrial or polluted areas died before the winter. Therefore,
colonies are only productive when provided with appropriate environments or conditions.  

Keywords

• Animal health,behavior,environment,honey,honeybee

References

1. 1. Akyol E, Kaftanoğlu O (2001): Colony characteristics and the performance of Caucasian (Apis mellifera caucasica) and Muğla bees and their reciprocal crosses. J Apic Res 40(3-4), 11-15.
2. 2. Amdam GV, Fennern E, Baker N, et al. (2010): Honeybee associative learning performance and metabolic stress resilience are positively associated. PLoS One 5(3), 9740-3.
3. 3. Arenas A, Farina WM (2008): Age and rearing environment interact in the retention of early olfactory memories in honeybees. J Comp Physiol A, 194, 629-640.
4. 4. Arenas A, Fernández VM, Farina WM (2009): Associative learning during early adulthood enhances later memory retention in honeybees. PLoS One 4(12), 8046-51.
5. 5. Badiou-Beneteau A, Carvalho SM, Brunet JL, et al. (2012): Development of biomarkers of exposure to xenobiotics in the honey bee Apis mellifera: Application to the systemic insecticide thiamethoxam. Ecotoxicol Environ Safe, 82, 22–31.
6. 6. Bogdanov S (2006): Contaminants of bee products. Apidologie, 37, 1-18.
7. 7. Demirezen D, Aksoy A (2005): Determination of heavy metals in bee honey using by inductively coupled plasma optical emission spectrometry. Journal of Science, 18(4), 569-575.
8. 8. Eckholm BJ, Anderson KE, Weiss M, et al. (2011): Intracolonial genetic diversity in honeybee (Apis mellifera) colonies increases pollen foraging efficiency. Behav Ecol Sociobiol, 65, 1037-1044.

9. 9. Fernandez VM, Arenas A, Farina WM (2009): Volatile exposure within the honeybee hive and its effect on olfactory discrimination. J Comp Physiol A, 195,759-768.
10. 10. Fredes C, Montenegro G (2006): Heavy metals and other trace elements contents in Chilean honey 1. Cien Inv Agr, 33(1), 50-58.
11. 11. Gil-Lebrero S, Quiles-Latorre FJ, Ortiz-López M, et al. (2017): Honey Bee Colonies Remote Monitoring System. Sensors, 17(1):55-58.
12. 12. Giurfa M (2007): Behavioral and neural analysis of associative learning in the honeybee: a taste from the magic well. J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 193(8), 801-824.
13. 13. Guler A (2008): The effects of the shook swarm technique on honey bee (Apis mellifera L.) colony productivity and honey quality. J Apic Res, 47(1), 27-34.
14. 14. Heinze J (2008): Social plasticity: ecology, genetics, and the structure of ant societies, colony of Social Evolution. Springer-Verlag Berlin Heidelberg, Germany. 129-150.
15. 15. Korczynski M, Hamieh A, Huh JH, et al. (2016): Hive oversight for network ıntrusion early warning using diamond: a bee-inspired method for fully distributed cyber defense. IEEE Communications Magazine, 54 (6), 60-67.
16. 16. Kravitz EA (2000): Serotonin and aggression: Insights gained from lobster model system and speculations on the role of amine neurons in a complex behavior. J Comp Physiol A, 186, 221-238.
17. 17. Luliana B, Cecilia G (2005): Chemical contamination of bee honey-identifying sensor of the environmental pollution. JCEA, 6, 467-470.
18. 18. Medici V, Sturniolo GC, Santon A, et al. (2005): Efficacy of zinc supplementation in preventing acute hepatitis in LEC rats. Liver Int, 25, 888–895.
19. 19. Mery F, Burns JG (2010): Behavioural plasticity: an interaction between evolution and experience. Evol Ecol, 24,571-583.
20. 20. Morgano MA, Teixeira martins MC, Rabonato LC, et al. (2010): Inorganic contaminants in bee pollen from south eastern Brazil. J Agric Food Chem, 58(11), 6876-6883.
21. 21. Munch D, Amdam GV (2010): The curious case of aging plasticity in honey bees. Febs Lett, 18, 584(12), 2496-2503.
22. 22. Perugini M, Manera M, Grotta L, et al. (2011): Heavy metal (Hg, Cr, Cd, and Pb) contamination in urban areas and wildlife reserves: honeybees as bioindicators. Biol Trace Elem Res, 140(2), 170-176.
23. 23. Porrini C, Sabatini AG, Girotti S, et al. (2003): Honey bees and bee products as monitors of the environmental contamination. Apiacta, 38, 63-70.
24. 24. Richard FJ, Aubert A, Grozinger CM (2008): Modulation of social interactions by immune stimulation in honey bee, Apis mellifera, workers. BMC Biol, 6 (50),1-13.
25. 25. Schulz DJ, Joseph P, Sullivan JP, et al. (2002): Juvenile hormone and octopamine in the regulation of division of labour in honey bee colonies. Horm and Behav, 42, 222- 231.
26. 26. SPSS. User’s guide. SPSS Inc. Chicago IL 60606–6412 (Customer ID: 361835), 2004.
27. 27. Vaidya OC, Rantala RT (1997): A comparative study of analytical methods: Determination of heavy metals in mussels (Mytilus edulis) from Eastern Canada. Int J Environ An Ch. 63, 179-185.
28. 28. Williams LH (2002): Cultivation of GM crops in the EU, farmland biodiversity and bees. Bee World, 83(3), 119-133. 29. Xu P, Shi M, Chen X (2009): Antimicrobial peptide evolution in the Asiatic honey bee Apis cerena. PLoS One, 4(1), 4239-42.
29. 30. Yap CK, Ismail A, Tan SG., et al. (2002): Correlations between speciation of Cd, Cu, Pb and Zn in sediment and their concentrations in total soft tissue of green-lipped mussel Perna viridis from the west coast of Peninsular Malaysia. Environ. Int, 28(1-2), 117-126