ISSR-Based Population Genetic Structure of Some Turkish Honeybee (Apis mellifera L., 1758) Populations

Abstract

Objective: Apis mellifera, in the order Hymenoptera, are social insects, also known as honey bees. Türkiye has many different honey bee ecotypes and subspecies. Examination of genetic diversity and evolutionary relationships of colonies in nine different locations in Türkiye was carried out using ISSR primers. Materials and Methods: Apis mellifera samples were collected from Çorum, Elazığ, Eskişehir, Kütahya, İzmir, Manisa, Antalya, Samsun, and Muğla. The Lifton method was used for DNA extraction from 180 honey bees. DNA samples were amplified using six ISSR primers. Results: From the amplification of 180 individuals with 6 ISSR primers, 283 polymorphic loci were identified. Genetic diversity data (Na, Ne, h, I) were obtained for nine populations from 283 loci. In all data on the calculated genetic diversity, the lowest values were found in the Samsun population, and the highest values were found in the Manisa population. The gene flow level calculated from the genetic differentiation value was found to be 0.22. Conclusion: Genetic diversity has a role in the adaptation of species to changing environmental conditions and it is one of the raw materials of evolution. Herein, we preferred ISSR markers to identify the genetic structure of honey bees. The genetic diversity of honey bees has been found to be lower compared to previous studies. This variability may be a result of the ecological, climatic conditions, and biogeographic differences of Anatolia. The studies to be carried out with more examples from more locations related to honey bees in Türkiye will contribute to the clear identification of the genetic structure of this organism. Additionally, using other marker systems will help to clarify the status of populations in Türkiye.

Keywords

• Apis mellifera
• Genetic diversity
• ISSR
• Türkiye

References

1. Ahmad, K.M.S. (2018). Genetic characterisation of honey bees (Apis mellifera) populations from Kurdistan Region of Iraq via ISSR markers. Annual Research & Review in Biology, 28(5), 1-9. https://doi.org/10.9734/ARRB/2018/42772 google scholar
2. Al-Otaibi, S.A. (2008). Genetic variability in mite-resistant honey bee using ISSR molecular markers. Arab Journal of Biotechnology, 11(2), 241-252. google scholar
3. Baysal, Ö., Mercati, F., Ikten, H., Yıldız, R.Ç., Carimi, F., Aysan, Y. & Silva, J.A.T. (2011). Clavibacter michiganensis subsp. michiganesis: Tracking strains using their genetic differentiations by ISSR markers in Southern Turkey. Physiological and Molecular Plant Pathology, 75, 113-119. http://doi.org/10.1016/j.pmpp.2010.10.002 google scholar
4. Bender, W., Spierer, P. & Hogness, D.S. (1983). Chromosomal walking and jumping to isolate DNA from the Ace and rosy loci and bithorax complex in Drosophila melanogaster. Journal of Molecular Biology, 168, 17-33. https://doi.org/10.1016/s0022-2836(83)80320-9 google scholar
5. Cane, J.H. (2008). Encyclopedia of Entomology. In J.H. Capinera (Eds), Bees (Hymenoptera:Apoidea:Apiformes) (pp. 419-434). New York, USA: Springer Science & Business Media. google scholar
6. Ceksteryte, V., Paplauskiene, V., Tamasauskiene, D., Pasakinskiene, I.& Mazeikiene, I. (2012). Genetic characterization of Lithuanian honeybee lines based on ISSR polymorphism. Apidologie, 43, 652-662. http://dx.doi.org/10.1007/s13592-012-0140-2 google scholar
7. Dusinsk, R., Kdela, M., Stloukalov, V & Jedlicka, L. (2006). Use of inter-simple sequence repeat (ISSR) markers for discrimination between and within species of blackflies (Diptera:Simulidae). Biologia, 61(3), 299-304. http://dx.doi.org/10.2478/s11756-006-0055-3 google scholar
8. Hamrick, J., Godt, M. & Shermen-Broyless, S. (1992). Factors influencing levels of genetic diversty in woody plant species. New Forests, 6, 95-124. https://doi.org/10.1007/BF00120641 google scholar

9. Ilyasov, R.A., Lee, M.L., Takahashi, J.I., Kwon, H.W. & Nikolenko, A.G. (2020). A revision of subspecies structure of western honey bee Apis mellifera. Saudi Journal of Biological Sciences, 27(12), 3615-3621. http://dx.doi.org/10.1016/j.sjbs.2020.08.001 google scholar
10. Franck, P., Garnery, L., Solignac, M. & Cornuet, J.M. (2000). Molecular confirmation of a fourth lineage in honeybees from the near east. Apidologie, 31, 167-180. https://doi.org/10.1051/ apido:2000114 google scholar
11. Hundsdoerfer, A.K., Kitching, I. & Wink, M. (2005). The phylogeny of the Hyles euphorbiae complex (Lepidoptera: Sphingidae): Molecular evidence from sequence data and ISSR-PCR fingerprints. Organisms Diversity & Evolution, 5, 173-198. https://doi.org/10.1016/j.ode.2004.11.012 google scholar
12. Karakaş, E.G. 2013. Genetic impact of migratory beekeeping: Genetic variation between stationary and migratory populations of honey bees (Apis mellifera L.) in Turkey (Master thesis). Middle East Technical University, Department of Biology. google scholar
13. Kilani, M. (1999). Nosemosis. In M.E. Colin, B.V. Ball, M. Kilani (Eds.), Bee Disease Diagnosis: Zaragoza Ciheam (pp. 99 - 106). google scholar
14. Kimura, M. & Crow, J. (1978). Effect of overall phenotypic selection on genetic change at individual loci. Proceedings of the National Academy of Science, 75, 6168-6171. https://doi.org/10.1073/ pnas.75.12.6168 google scholar
15. Kükrer, M. 2013. Genetic Diversity of Honey Bee Populations in Turkey based on Microsatellite Markers: A Comparison between migratory versus Stationary Apiaries and Isolated Regions versus Regions Open to Migratory Beekeeping (Master thesis). Middle East Technical University, Graduate School of Natural and Applied Sciences. google scholar
16. Nei, M. (1987). Molecular Evolutionary Genetics. New York, Columbia University Press. google scholar
17. Paplauskiene, V, Ceksteryte, V., Tamasauskiene, D. & Racys, J. (2006). The use of ISSR method for the assessment of bee genetic diversity. Biologia, 3, 16-20. google scholar
18. Peakall, R. & Smouse, P.E. (2012). GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics, 28, 2537-2539. https://doi.org/10.1093/ bioinformatics/bts460 google scholar
19. Rahimi, A., Mirmoayedi, A., Kahrizi, D., Zarei, L. & Jamali, S. (2016). Genetic diversity of Iranian honey bee (Apis mellifera meda Skorikow, 1829) populations based on ISSR markers. Cellular and Molecular Biology, 62, 54-58. http://dx.doi. org/10.14715/cmb/2016.62.4.10 google scholar
20. Radjabi, R., Sarafrazi, A., Tarang, A., Kamali, K. & Tirgari, S. (2012). Intraspecific biodiversity of Iranian local races of silkworm Bombyx mori by Issr (Inter-Simple Sequence Repeat) molecular marker. World Journal of Zoology, 7(1), 17-22. google scholar
21. Ruttner, F. (1988). Biogeography and taxonomy of honeybees. New York, USA: Springer Science & Business Media. google scholar
22. Sheppard, W.S. & Smith, D.R. (2000). Identification of African-derived bees in Americas: a survey of methods. Annals of the Entomological Society of America, 93, 159-176. https://doi. org/10.1603/0013-8746(2000)093[0159:IOADBI]2.0.CO;2 google scholar
23. Shouhani, H., Dousti, A.F., Radjabi, R. & Zarei, M. (2014). Application of ISSR to study the genetic diversity of honeybee (Apis mellifera L.) populations in some areas of Iran. Journal of BioScience and Biotechnology, 3(2), 127-131. http://dx.doi. org/10.13140/2.1.1140.5448 google scholar
24. Slatkin, M. (1987). Gene flow and geographic structure of natural populations. Science, 236, 787- 792. google scholar
25. Tunca, R.I., Kence, M. (2011). Genetic diversity of honey bee (Apis mellifera L.: Hymenoptera: Apidae) populations in Turkey revealed by RAPD markers. African Journal of Agricultural Research, 6(29), 6217-6225. https://doi.org/10.5897/ AJAR10.386 google scholar
26. Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15, 323-354. google scholar
27. Yeh, F.C., Yang, R.C. & Boyle, T. (1999). POPGENE Version 1.32: Microsoft Window-Based Freeware for Population Genetics Analysis. Edmonton, University of Alberta. google scholar
28. Zietkiewicz, E., Rafalski, A., Labuda, D. (1994). Genome fingerprinting by simple sequence repeat (SSR)-anchored polymerase chain reaction amplification. Genomics, 20, 176183. https://doi.org/10.1006/geno.1994.1151 google scholar