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2021-05-14 — Actualizado el 2021-11-25

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Molecular characterization of Iranian dromedaries using microsatellite markers

Caracterización molecular de dromedarios iraníes usando marcadores microsatélites

DOI:

https://doi.org/10.15446/acag.v69n4.64487

Palabras clave:

Genetic diversity, Iranian dromedary populations, Microsatellites, Population genetic structure (en)
Diversidad genética, Estructura genética de poblaciones, Microsatélites, Poblaciones de dromedarios iraníes (es)

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Considering the importance of maintaining the genetic diversity in native animals, this study conducted to analyse genetic diversity in dromedary populations in the north of Kerman province, Iran, using eight autosomal microsatellite markers. Eighty-one blood samples were collected from five different populations and DNA was extracted. The highest and the lowest allele number and effective alleles were shown in YWLL08 (21 and 4) and VOLP32 (14.97 and 3.11), respectively. The expected heterozygosity varied from 0.778 in Sahra-e Jahad population to 0.847 in Nogh population. The test for Hardy-Weinberg equilibrium showed significant deviations in most loci. The mean multilocus FST value (0.057) suggested that differentiation is moderate between populations. From total genetic diversity, only 6% were due to differentiation among populations, while the remaining 94% corresponded to differences among individuals within each population. The results of the current study indicated that the Camelus dromedarius populations in the north of Kerman province have a relativity high genetic variation and the data could be useful for designing the breeding strategies and conservation. The degree of variability demonstrated implies that studied populations are rich reservoirs of genetic diversity that must be preserved. A future direction to our study can be studying all of the Iranian Camelus dromedarius populations to better evaluate the level of inbreeding and establish the appropriate conservation strategies aimed to avoid losses of genetic diversity.

Considerando la importancia de mantener la diversidad genética en los animales nativos, este estudio se realizó para analizar la diversidad genética en poblaciones de dromedarios en el norte de la provincia de Kerman, Irán, utilizando ocho marcadores microsatélites autosómicos. Se recolectaron 81 muestras de sangre de cinco poblaciones diferentes y se extrajo el ADN. El número de alelos más alto y más bajo y los alelos efectivos se mostraron en YWLL08 (21 y 4) y VOLP32 (14,97 y 3,11), respectivamente. La heterocigosidad esperada varió de 0,778 en la población de Sahra-e Jahad a 0,847 en la población de Nogh. La prueba de equilibrio de Hardy-Weinberg mostró desviaciones significativas en la mayoría de los loci. El valor medio de FST multilocus (0,057) sugirió que la diferenciación es moderada entre poblaciones. De la diversidad genética total, solo el 6% se debió a diferenciación entre poblaciones, mientras que el 94% restante correspondió a diferencias entre individuos dentro de cada población. Los resultados del estudio actual indicaron que las poblaciones de Camelus dromedarius en el norte de la provincia de Kerman tienen una variación genética relativamente alta y los datos podrían ser útiles para diseñar las estrategias de reproducción y conservación. El grado de variabilidad demostrado implica que las poblaciones estudiadas son ricos reservorios de diversidad genética que deben ser preservados. Una dirección futura de nuestro estudio puede ser estudiar todas las poblaciones de Camelus dromedarius iraníes para evaluar mejor el nivel de endogamia y establecer las estrategias de conservación adecuadas destinadas a evitar pérdidas de diversidad genética.

Referencias

Abadi, M.R.M.; Askari, N.; Baghizadeh, A.; Esmailizadeh, A.K. 2009. A directed search around caprine candidate loci provided evidence for microsatellites linkage to growth and cashmere yield in Rayini goats. Small Ruminant Research, 81(2/3), 146-151. https://doi.org/10.1016/j.smallrumres.2008.12.012

Abdussamad, A.M.; Charruau, P.; Kalla, D.J.U.; Burger, P.A. 2015. Validating local knowledge on camels: Color phenotypes and genetic variation of dromedaries in the Nigeria-Niger corridor. Livestock Science, 181, 131-136. https://doi.org/10.1016/j.livsci.2015.07.008

Askari, N.; Baghizadeh, A.; Mohammadabadi, M.R. 2008. Analysis of the genetic structure of Iranian indigenous raeni cashmere goat populations using microsatellite markers. Biotechnology, 2(3), 1-4. https://www.tsijournals.com/abstract/analysis-of-the-genetic-structure-of-iranian-indigenous-raeni-cashmere-goat-populations-using-microsatellite-markers-1216.html

Barazandeh, A.; Mohammadabadi, M.R.; Ghaderi- Zefrehei, M.; Nezamabadi-pour, H. 2016. Genome-wide analysis of CpG islands in some livestock genomes and their relationship with genomic features. Czech Journal of Animal Science, 61, 487-495. https://doi.org/10.17221/78/2015-CJAS

Barazandeh, A.; Mohammadabadi, M.R.; Ghaderi-Zefrehei, M.; Rafeied, F.; Imumorin, I. G. 2019. Whole genome comparative analysis of CpG islands in camelid and other mammalian genomes. Mammalian Biology, 98, 73-79. https://doi.org/10.1016/j.mambio.2019.07.007

Burger, P. A. 2016. The history of Old World camelids in the light of molecular genetics. Tropical Animal Health and Production, 48, 905–913. https://dx.doi.org/10.1007%2Fs11250-016-1032-7

Ebrahimi, Z., Mohammadabadi, M.R.; Esmailizadeh- Koshkuieh, A.; Khezri, A.; Najmi-Noori, A. 2015. Association of PIT1 gene with milk fat percentage in Holstein cattle. Iranian Journal of Applied Animal Science, 5(3), 575-582. http://ijas.iaurasht.ac.ir/article_515867.html

Food and Agriculture Organization of the United Nations-FAO. 2011. Molecular genetic characterization of animal genetic resources. FAO Animal Production and Health Guidelines. No. 9. Rome. 100 p. http://www.fao.org/3/i2413e/i2413e00.htm

Ghasemi, M.; Baghizadeh, A.; Mohammad-Abadi, M.R. 2010. Determination of genetic polymorphism in Kerman Holstein and Jersey cattle population using ISSR markers. Australian Journal of Basic and Applied Sciences, 4(12), 5758-5760. http://www.ajbasweb.com/old/ajbas/2010/5758-5760.pdf

Goudet, J. 1995. FSTAT (Version 1.2): A computer program to calculate F-statistics. Journal of Heredity, 86(6), 485-486. https://doi.org/10.1093/oxfordjournals.jhered.a111627

Guichoux, E.; Lagache, L.; Wagner, S.; Chaumeil, P.; Léger, P.; Lepais, O.; Lepoittevin, C.; Malausa, T.; Revardel, E.; Salin, F.; Petit, R.J. 2011. Current trends in microsatellite genotyping. Molecular Ecology Resources, 11(4), 591-611. https://doi.org/10.1111/j.1755-0998.2011.03014.x

Javanmard, A.; Mohammadabadi, M.R.; Zarrigabayi, G.E.; Gharahedaghi, A.A.; Nassiry, M.R.; Javadmansh, A.; Asadzadeh, N. 2008. Polymorphism within the intron region of the bovine leptin gene in Iranian Sarabi cattle (Iranian Bos taurus). Russian Journal of Genetics, 44, 495-497. https://doi.org/10.1134/S1022795408040169

Kadim, I.T.; Mahgoub, O.; Purchas, R.W. 2008. A review of the growth, and of the carcass and meat quality characteristics of the one-humped camel (Camelus dromedaries). Meat Science, 80(3), 555–569. https://doi.org/10.1016/j.meatsci.2008.02.010

Lang, K. D. M.; Wang, Y.; Plante, Y. 1996. Fifteen polymorphic dinucleotide microsatellites in llamas and alpacas. Animal Genetics, 27(4), 293. https://doi.org/10.1111/j.1365-2052.1996.tb00502.x

Mahmoud, A. H.; AlShaikh, M. A.; Aljummah, R. S.; Mohammed, O. B. 2013. Genetic characterization of Majaheem camel population in Saudi Arabia based on microsatellite markers. Research Journal of Biotechnology, 8(4), 26-30. https://worldresearchersassociations.com/Archives/RJBT/Vol(8)2013/April2013.aspx

Mahmoud, A.H.; Abu-Tarbush, F.M.; Alshaik, M.; Aljumaah, R.; Saleh, A. 2019. Genetic diversity and population genetic structure of six dromedary camel (Camelus dromedarius) populations in Saudi Arabia. Saudi Journal of Biological Sciences, 27(5), 1384-1389. https://doi.org/10.1016/j.sjbs.2019.11.041

Mahrous, K. F.; Ramadan, H. A. I.; Abdel-Aziem, S. H.; Mordy, M. A.; Hemdan, D. 2011. Genetic variations between camel breeds using microsatellite markers and RAPD techniques. Journal of Applied Biosciences, 39, 2626-2634. http://m.elewa.org/JABS/2011/39/5.pdf

Markert, J. A.; Champlin, D. M.; Gutjahr-Gobell, R.; Grear, J. S.; Kuhn, A.; McGreevy, T. J.; Roth, A.; Bagley, M. J.; Nacci; D. E. 2010. Population genetic diversity and fitness in multiple environments. BMC Evolutionary Biology, 10, 205. https://doi.org/10.1186/1471-2148-10-205

Mburu, D. N.; Ochieng, J. W.; Kuria, S. G.; Jianlin, H.; Kaufmann, B.; Rege, J.E.O.; Hanotte, O. 2003. Genetic diversity and relationships of indigenous Kenyan camel (Camelus dromedarius) populations: Implications for their classification. Animal Genetics. 34 (1), 26-32. https://doi.org/10.1046/j.1365-2052.2003.00937.x

Meymandi, M. G.; Mohammadabadi, M. R.; Esmailizadeh, A. K. 2015. Genetic variation of camels in north of Kerman province using microsatellite markers. Animal Production Research, 4(1), 35-45. https://ar.guilan.ac.ir/article_211.html?lang=en

Mohammadabadi, M.R.; Nikbakhti, M.; Mirzaee, H.R.; Shandi, A.; Saghi, D.A.; Romanov, M.N.; Moiseyeva, I.G. 2010a. Genetic variability in three native Iranian chicken populations of the Khorasan province based on microsatellite markers. Russian Journal of Genetics, 46, 505-509. https://doi.org/10.1134/S1022795410040198

Mohammadabadi, M.R.; Torabi, A.; Tahmourespoor, M.; Baghizadeh, A.; Esmailizadeh, A.K.; Mohammadi, A. 2010b. Analysis of bovine growth hormone gene polymorphism of local and Holstein cattle breeds in Kerman province of Iran using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). African Journal of Biotechnology, 9(41), 6848-685. https://www.ajol.info/index.php/ajb/article/view/130242

Mohammadi, A.; Nassiry, M. R.; Mosafer, J.; Mohammadabadi, M.R.; Sulimova, G. E. 2009. Distribution of BoLA-DRB3 allelic frequencies and identification of a new allele in the Iranian cattle breed Sistani (Bos indicus). Russian Journal of Genetics, 45, 198-202. https://doi.org/10.1134/S1022795409020100

Mohammadifar, A.; Amirnia, S.; Omrani, H.; Mirzaei, H.R.; Mohammadabadi, M. R. 2009. Analysis of genetic variation in quail population from Meybod Research Station using microsatellite markers. Animal Sciences Journal (Pajouhesh and Sazandegi), 82(1) 72-79. https://agris.fao.org/agris-search/search.do?recordID=IR2012005156

Mousavizadeh, A.; Mohammad-Abadi, M.R.; Torabi, A.; Nassiry, M.R.; Ghiasi, H.; Ali-Esmailizadeh, A.K. 2009. Genetic polymorphism at the growth hormone locus in Iranian Talli goats by polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP). Iranian Journal of Biotechnology, 7(1), 51-53. http://www.ijbiotech.com/article_7064.html

Nei, M. 1972. Genetic distance between populations. The American Naturalist, 106(949), 283-292. https://www.journals.uchicago.edu/doi/10.1086/282771

Nolte, M.; Kotze, A.; van der Bank, F. H.; Grobler, J. P. 2005. Microsatellite markers reveal low genetic differentiation among southern African Camelus dromedarius populations. South African Journal of Animal Science, 35(3), 152-162. https://doi.org/10.4314/sajas.v35i3.4054

Norouzy, A.; Nassiry, M. R.; Shahrody, F. E.; Javadmanesh, A.; Mohammad-Abadi, M. R.; Sulimova, G. E. 2005. Identification of bovine leucocyte adhesion deficiency (BLAD) carriers in Holstein and Brown Swiss AI bulls in Iran. Genetika, 41(12), 1697-1701. https://pubmed.ncbi.nlm.nih.gov/16396457/ DOI: https://doi.org/10.1007/s11177-006-0014-7

Obreque, V.; Coogle, L.; Henney, P. J.; Bailey, E.; Mancilla, R.; García-Huidobro, J.; Hinrichsen, P.; Cothran, E. G. 1998. Characterization of 10 polymorphic alpaca dinucleotide microsatellites. Animal Genetics, 29(6), 460-467. https://europepmc.org/article/med/9883512

Peakall, R.; Smouse, P. E. 2006. GENEALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes, 6(1), 288-295. https://doi.org/10.1111/j.1471-8286.2005.01155.x

R Development Core Team, 2014. R: A language and environment for statistical computing. Vienna, Austria: the R foundation for statistical computing. https://www.R-project.org

Schulz, U.; Tupac-Yupanqui, I.; Martínez, A.; Méndez, S.; Vicente-Delgado, J.; Gómez, M.; Dunner, S.; Cañón, J. 2010. The Canarian Camel: A traditional dromedary population. Diversity, 2(4), 561-571. https://doi.org/10.3390/d2040561

Shamsalddini, S.; Mohammadabadi, M. R.; Esmailizadeh, A. K. 2016. Polymorphism of the prolactin gene and its effect on fiber traits in goat. Russian Journal of Genetics, 52, 405–408. https://doi.org/10.1134/S1022795416040098

Slatkin, M., Barton, N.H. 1989. A comparison of three indirect methods for estimating average levels of gene flow. Evolution, 43(7), 1349-1368. https://doi.org/10.2307/2409452

Sneath, P.H., Sokal, R.R. 1973. Numerical Taxonomy. Freeman, San Francisco, CA, USA. 573 p.

Talle, S. B.; Chenyabuga, W. S.; Fimland, E.; Syrstad, O.; Meuwissen, T.; Klungland, H. 2005. Use of DNA technologies for the conservation of animal genetic resources: A review. Acta Agriculturae Scandinavica, 55(1), 1-8. https://doi.org/10.1080/09064700510009315

Vajed Ebrahimi, M.T.; Mohammadabadi, M.R.; Esmailizadeh, A.K. 2016. Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran. Archives Animal Breeding, 60(4), 183-189. https://doi.org/10.5194/aab-60-183-2017

VanRaden, P. M. 2008. Efficient Methods to Compute Genomic Predictions. Journal of Dairy Science, 91(11), 4414-4423. https://doi.org/10.3168/jds.2007-0980

Vijh, R. K.; Tantia, M. S.; Mishra, B.; Bharani-Kumar, S.T. 2007. Genetic diversity and differentiation of dromedarian camel of india. Animal Biotechnology, 18(2), 81-90. https://doi.org/10.1080/10495390600648741

Yeh, F.C.; Yang, R.; Boyle, T.; Edomonton, A.B. 1999. POPGENE. Microsoft Window-based Freeware for Population Genetic Analysis, version 1.31. University of Alberta, Edomonton, AB, Canada. https://sites.ualberta.ca/~fyeh/popgene.pdf

Zajc, I.; Mellersh, C. S.; Sampson, J. 1997. Variability of canine microsatellites within and between different dog breeds. Mammalian Genome, 8, 182-185. https://doi.org/10.1007/s003359900386

Cómo citar

APA

Mohammadabadi, M., Ghasemi Meymandi, M., Montazeri, M., Afanasenko, V. . & Kalashnyk, O. . (2021). Molecular characterization of Iranian dromedaries using microsatellite markers. Acta Agronómica, 69(4), 321–330. https://doi.org/10.15446/acag.v69n4.64487

ACM

[1]
Mohammadabadi, M., Ghasemi Meymandi, M., Montazeri, M., Afanasenko, V. y Kalashnyk, O. 2021. Molecular characterization of Iranian dromedaries using microsatellite markers. Acta Agronómica. 69, 4 (abr. 2021), 321–330. DOI:https://doi.org/10.15446/acag.v69n4.64487.

ACS

(1)
Mohammadabadi, M.; Ghasemi Meymandi, M.; Montazeri, M.; Afanasenko, V. .; Kalashnyk, O. . Molecular characterization of Iranian dromedaries using microsatellite markers. Acta Agron. 2021, 69, 321-330.

ABNT

MOHAMMADABADI, M.; GHASEMI MEYMANDI, M.; MONTAZERI, M.; AFANASENKO, V. .; KALASHNYK, O. . Molecular characterization of Iranian dromedaries using microsatellite markers. Acta Agronómica, [S. l.], v. 69, n. 4, p. 321–330, 2021. DOI: 10.15446/acag.v69n4.64487. Disponível em: https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/64487. Acesso em: 16 mar. 2026.

Chicago

Mohammadabadi, Mohammadreza, Mehrdad Ghasemi Meymandi, Mahdieh Montazeri, Volodymyr Afanasenko, y Oleksandr Kalashnyk. 2021. «Molecular characterization of Iranian dromedaries using microsatellite markers». Acta Agronómica 69 (4):321-30. https://doi.org/10.15446/acag.v69n4.64487.

Harvard

Mohammadabadi, M., Ghasemi Meymandi, M., Montazeri, M., Afanasenko, V. . y Kalashnyk, O. . (2021) «Molecular characterization of Iranian dromedaries using microsatellite markers», Acta Agronómica, 69(4), pp. 321–330. doi: 10.15446/acag.v69n4.64487.

IEEE

[1]
M. Mohammadabadi, M. Ghasemi Meymandi, M. Montazeri, V. . Afanasenko, y O. . Kalashnyk, «Molecular characterization of Iranian dromedaries using microsatellite markers», Acta Agron., vol. 69, n.º 4, pp. 321–330, abr. 2021.

MLA

Mohammadabadi, M., M. Ghasemi Meymandi, M. Montazeri, V. . Afanasenko, y O. . Kalashnyk. «Molecular characterization of Iranian dromedaries using microsatellite markers». Acta Agronómica, vol. 69, n.º 4, abril de 2021, pp. 321-30, doi:10.15446/acag.v69n4.64487.

Turabian

Mohammadabadi, Mohammadreza, Mehrdad Ghasemi Meymandi, Mahdieh Montazeri, Volodymyr Afanasenko, y Oleksandr Kalashnyk. «Molecular characterization of Iranian dromedaries using microsatellite markers». Acta Agronómica 69, no. 4 (abril 14, 2021): 321–330. Accedido marzo 16, 2026. https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/64487.

Vancouver

1.
Mohammadabadi M, Ghasemi Meymandi M, Montazeri M, Afanasenko V, Kalashnyk O. Molecular characterization of Iranian dromedaries using microsatellite markers. Acta Agron. [Internet]. 14 de abril de 2021 [citado 16 de marzo de 2026];69(4):321-30. Disponible en: https://revistas.unal.edu.co/index.php/acta_agronomica/article/view/64487

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1. Morteza Bitaraf sani, Omid Karimi, Pamela Anna Burger, Arash Javanmard, Zahra Roudbari, Mokhtar Mohajer, Nader Asadzadeh, Javad Zareh Harofteh, Ali Kazemi, Ali Shafei Naderi. (2023). A genome‐wide association study of morphometric traits in dromedaries. Veterinary Medicine and Science, 9(4), p.1781. https://doi.org/10.1002/vms3.1151.

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