Single Nucleotide Polymorphisms in the Promoter of CYP19 Gene in Cattle Bred in Iraq

Authors

  • Salah H. Faraj Department of Biology, College of Science, University of Misan
  • Asaad Y. Ayied Department of Animal Production, College of Agriculture, University of Basrah
  • Khalaf A. H. Al-Rishdy Department of Animal Production, College of Agriculture, University of Basrah

DOI:

https://doi.org/10.37077/25200860.2020.33.1.07

Keywords:

CYP19 gene, Iraqi cattle, single nucleotide polymorphism, Genetic Diversity, Phylogenetic tree

Abstract

The present study was undertaken to characterize the genetic diversity of the aromatase cytochrome P450 (CYP19) gene in 34 cows (15 local, 14 Holstein, and 5 Crosses) in Iraq. The objectives of the present study are to detect SNPs (mutations) in promoter p1.1 of the CYP19 gene in cattle bred in Iraq using sequencing techniques. We identified five single-nucleotide polymorphisms (SNP) loci of the CYP19 gene that were detected, namely G933T, G994C, A1044G, A1062T, and C1468A. The results showed the presence of 3, 4, and 2 polymorphic sites leading to the construction of 4, 5, and 3 different haplotypes for Holstein, local, and crosses respectively. Haplotype diversity were 0.791, 0.752, and 0.700 respectively. While nucleotide diversity was 0.0017, 0.0022, and 0.0013 respectively. Besides, we carried out a phylogenetic analysis of these sequences to address the evolutionary relationship between the animal species. These fragments were assigned in the GenBank database under the accession numbers: LC490756, LC490757, LC491437, LC491438, LC491439, LC491588, and LC491589.

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References

Aken, B.L.; Achuthan, P.; Akanni, W.M.; Amode, R.; Bernsdorff, F.; Bhai, J.; Billis, K.; Carvalho-Silva, D.; Cummins, C.; Clapham, P et (2016). The ensemble gene annotation system. Database., 1-19. https://doi.org/10.1093%2Fdatabase%2Fbaw093.

Amitosh, K. (2018). Molecular characterization of CYP19, FSHR and LHR genes and its association with reproductive traits in Indigenous cattle. Ph.D. Thesis. Coll. Vet. Anim. Sci., Univ. Rajasthan: 141pp. http://krishikosh.egranth.ac.in/handle/1/5810055058

Amitosh, K.; Gahlot, G.C.; Joshi, R.; Ashraf, M. & Ganguly, S. (2017). DNA polymorphism of the CYP19 (Aromatase) gene in Rathi cattle. J. Entomol. Zool. Stud.; 5(6): 1944-1946. https://www.researchgate.net/publication/321825089_DNA_polymorphism_of_Cyp19_Aromatase_gene_in_Rathi_cattle

Ayied, A.Y. & Zaqeer, B.F. (2019). Relationship between ND5 genetic polymorphisms and milk production and the growth of lambs before weaning of Awassi sheep. IJSR, 8(1): 810-814. https://www.ijsr.net/search_index_results_paperid.php?id=ART20194226

Ayied, A.Y.; Al-Badran, A.I.; & Al-Zaalan, A.R. (2018). Assessment of genetic diversity in Iraqi camel breeds using cytochrome b. JAAVS, 6(7): 273-277. http://doi.org/10.17582/journal.aavs/2018/6.7.273.277

Bandelt, H.J.; Forster, P. & Rohl, A. (1999). Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol., 16(1): 37-48. https://academic.oup.com/mbe/article-abstract/16/1/37/993192

Damiani, D. & Damiani, D. (2007). Manejo farmacológico da baixa estatura: o papel dos inibidores da aromatase: Revisão. Jornal de Pediatria, 83(5): 172-177. https://doi.org/10.1590/S0021-75572007000700008

Edea, Z.; Dadi, H.; Kim, S.W.; Dessie, T.; Lee, T.; Kim, H.; Kim, J.J. & Kim, K.S. (2013). Genetic diversity, population structure, and relationships in indigenous cattle populations of Ethiopia and Korean Hanwoo breeds using SNP markers. Front. Genet. 4(35): 1-9. https://doi.org/10.3389/fgene.2013.00035

El-Bayomi, K.M.; Saleh, A.A.; Awad, A.; El-Tarabany, M.S.; El-Qaliouby, H.S.; Afifi, A.; El-Komy, S.; Essawi, W.M.; Almadaly, E.A. & El-Magd, M.A. (2018). Association of CYP19A1 gene polymorphisms with anoestrus in water buffaloes. Reprod. Fert. Develop., 30: 487- 497. https://doi.org/10.1071/RD16528

Faraj, S.H.; Ayied, A.S. & Al-Rishdy, K.A.H. (2019) FSHR gene polymorphisms and protein structure changes of cattle bred in Iraq. IJSTR, 8(11): 3325-3328. http://www.ijstr.org/research-paper-publishing.php?month=nov2019

Gororo, E.; Makuza, S.M.; Chatiza, F.P.; Chidzwondo, F. & Sanyika, T.W. (2018). Genetic diversity in Zimbabwean Sanga cattle breeds using microsatellite markers. S. Afr. J. Anim. Sci., 48(1): 128-141. https://doi.org/10.4314/sajas.v48i1.15

Hall, T.A. (1999). BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/ NT. Nucl. Acids Symp., 41: 95-98. https://bioedit.software.informer.com/

Jedrzejczak, M.; Grzesiak, W.; Szatkowska, I.; Dybus, A.; Muszy?ska, M. & Zaborski, D. (2011). Association between polymorphisms of CYP19, CYP21, and ER1 genes and milk production traits in Black and White cattle. Turk. J. Vet. Anim. Sci., 35(1): 41-49. https://www.researchgate.net/publication/228496295_Association_between_polymorphisms_of_CYP19_CYP21_and_ER1_genes_and_milk_production_traits_in_Black-and-White_cattle

Kalbe, C.; Furbass, R.; Schwerin, M.& Vanselow, J. (2000). Cis-acting elements regulating the placenta-specific promoter of the bovine Cyp19 gene. J. Mol. Endocrinal., 25: 265-273. https://doi.org/10.1677/jme.0.0250265

Keskin, A.; Öner, Y.; Yilmazba?-mecito?lu, G.; Güner, B.; Karakaya, E.; Elmaci, C. & Gümen, A. (2015). Distributions of CYP19, ER? and PGR allele frequencies between fertile and subfertile holstein-friesian heifers. Kafkas. Univ. Vet. Fak. Derg., 21(6): 893-898. https://doi.org/10.9775/kvfd.2013.8900

Kowalewska-Uczak, I. (2010). Polymorphism of the CYP19 gene and milk production traits of dairy cattle. Turk. J. Vet. Anim. Sci., 34(6): 493-496 . https://doi.org/10.3906/vet-0707-30

Kowalewska-Luczak, I.; Michniewicz, E. & Kulig, H. (2013). Effect of CYP19 SNPs on milk production traits of jersey cows. Acta Sci. Pol., Zootechnica, 12(1), 33-40. https://asp.zut.edu.pl/2013/12_1/asp-2013-12-1-170.pdf

Kuku?ková, V.; Morav?íková, N.; Curik, I.; Sim?i?, M.; Mészáros, G. & Kasarda, R. (2018). Genetic diversity of local cattle. Acta Bioch. Pol., 65(3): 421-424. https://doi.org/10.18388/abp.2017_2347

Kumar, S.; Stecher, G.; Li, M.; Knyaz, C. & Tamura, K. (2018). MEGA X: Molecular Evolutionary Genetics Analysis, across computing platforms. Mol. Biol. Evol., 35: 1547-1549. https://doi.org/10.1093/molbev/msy096

Lenstra, J.; Groeneveld, L.; Eding, H.; Kantanen, J.; Williams, J.; Taberlet, P.; Nicolazzi, E.; Sölkner, J.; Simianer, H. & Ciani, E. (2012). Molecular tools and analytical approaches for the characterization of farm animal genetic diversity. Anim. Genet., 43: 483-502. https://doi.org/10.1111/j.1365-2052.2011.02309.x

Librado, P. & Rozas, J. (2009). DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 25(11): 1451-1452. https://doi.org/10.1093/bioinformatics/btp187

Makina, S.O.; Whitacre, L.K.; Decker, J.E., Taylor, J.F.; MacNeil, M.D.; Scholtz, M.M.; Marle-Köster, E.; Muchadeyi, F.C.; Makgahlela, M.L. & Maiwashe, A. (2016). Insight into the genetic composition of South African Sanga cattle using SNP data from cattle breeds worldwide. Genet. Sel. Evol. (Paris), 48 (1): 88-94. https://doi.org/10.1186/s12711-016-0266-1

Mohamadnejad-Sangdehi, F.; Rahimi-Mianji, G.; Safdari-Shahroudi, M.; Razavi-Sheshdeh, S.A. & Gholami, M. (2015). Distribution of allele frequencies at 5?-flanking region of CYP19 and ER? genes between Iranian simmental and three indigenous cattle breeds. Iranian J. Appl. Anim. Sci., 5(2): 301-307. http://ijas.iaurasht.ac.ir/article_513309.html

Ngono-Ema, P.; Manjeli, Y.; Meutchieyié, F.; Keambou, C.; Wanjala, B.; Desta, A.; Ommeh, S.; Skilton, R. & Djikeng, A. (2014). Genetic diversity of four Cameroonian indigenous cattle breeds using microsatellite markers. J. Livest. Sci., 5: 9-17.

Öner, Y.; Y?lmaz, O.; Eri?, C.; Ata, N.; Ünal, C. & Koncagül, S. (2019). Genetic diversity and population structure of Turkish native cattle breeds. S. Afr. J. Anim. Sci., 49(4): 628-635. http://doi.org/10.4314/sajas.v49i4.4

Owaid, J.M.; Ayied, A.Y. & Ahmed, F.A. (2019). Genetic variation analysis of ATPase gene and its association with milk component in cattle. IJANS, 8(3): 55-60. https://www.iaset.us/journals/international-journals/international-journal-of-applied-and-natural-sciences

Saber, Y.H.; Seida, A.A.; Ragab, R.S.A.; Balabel, E.A.; Hanafi, E.M. & Wahid M.A. (2017). Oxidant/antioxidant status and CYP19 gene polymorphism in crossbred cows in relation to ovarian inactivity. Global Vet., 18(1): 14-19. https://www.idosi.org/gv/gv18(1)17.htm

Sanarana, Y.; Visser, C.; Bosman, L.; Nephawe, K.; Maiwashe, A. & Van Marle-Köster, E. (2016). Genetic diversity in South African Nguni cattle ecotypes based on microsatellite markers. Trop. Anim. Health Prod., 48, 379-385. https://doi.org/10.1007/s11250-015-0962-9

Simpson, E.R. & Davis, S.R. (2001). Minireview: Aromatase and the regulation of estrogen biosynthesis-some new perspectives. Endocrinology., 142: 4589-4594. https://doi.org/10.1210/endo.142.11.8547

Trakovická, A.; Morav?íková, N.; Miluchová, M. & Gábor, M. (2015). Analysis of CYP19 gene polymorphism as a factor affecting milk production of cattle. J. Microbiol. Biotechnol. Food Sci., 4(2): 111-113. https://doi.org/10.5513/JCEA01/19.4.2363

Vega, W.H.O.; Quirino, C.R.; Bartholazzi-Junior, A.; Rua, M.A.S.; Serapiao, R.V. & Oliveira, C.S. (2018). Variants in the CYP19A1 gene can affect in vitro embryo production traits in cattle. J. Assisted Reprod. Genet., 35(12): 2233-2241. https://doi.org/10.1007/s10815-018-1320-4

Yang, W.; Kang, X.; Yang, Q.; Lin, Y. & Fang, M. (2013). Review on the development of genotyping methods for assessing farm animal diversity. J. Anim. Sci. Biotechnol., 4(2): 1-6. https://doi.org/10.1186%2F2049-1891-4-2

Zaborski, D.; Grzesiak, W. & Pilarczyk, R. (2014). Detection of difficult calving’s in the Polish holstein-friesian black and white heifers. J. Appl. Anim. Res., 44(1): 42-53. https://doi.org/10.1080/09712119.2014.987293

Published

2020-06-27

How to Cite

Faraj, S. H., Ayied, A. Y., & Al-Rishdy, K. A. H. (2020). Single Nucleotide Polymorphisms in the Promoter of CYP19 Gene in Cattle Bred in Iraq. Basrah J. Agric. Sci., 33(1), 89-97. https://doi.org/10.37077/25200860.2020.33.1.07

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