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MHC-linked microsatellite LEI0258 variability and population structure of chicken ecotypes in Iran | ||
| Iranian Journal of Veterinary Research | ||
| دوره 25، شماره 4 - شماره پیاپی 89، 2024، صفحه 312-318 اصل مقاله (330.67 K) | ||
| نوع مقاله: Full paper (Original article) | ||
| شناسه دیجیتال (DOI): 10.22099/ijvr.2024.50968.7544 | ||
| نویسندگان | ||
| A. Ramezani1؛ G. Nikbakht Brujeni* 2؛ N. Sheikhi3؛ K. Parvandar Asadollahi3 | ||
| 1Ph.D. Student in Immunology, Department of Pathobiology, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Microbiology and Immunology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran | ||
| 3Department of Clinical Science, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| Background: Investigation of chicken major histocompatibility complex (MHC) genes along with their diversity across native regions and populations, as a genetic resource, can be used in the breeding programs. Important characteristics of MHC genes, such as the association with immunological and production traits, make them exceptional candidates for marker assisted selection. Aims: The aim of this study was to characterize MHC based on the LEI0258 microsatellite marker to evaluate the genetic variability and diversity within and between Iranian chicken populations. Methods: Blood samples were collected from six indigenous ecotypes (n=633) and Ross 308 (n=216) as a commercial breed. The MHC variability was determined based on a microsatellite marker located within MHC, LEI0258. Polymerase chain reaction and fragment analysis was used for microsatellite polymorphism detection. Results: Based on the fragment analysis, 7 alleles were found in Ross 308 and 25 alleles across all 6 populations. The population with the maximum genetic diversity was Mazandaran (0.939), while the population with the minimum genetic diversity was Ross 308 (0.794). Out of the 6 Iranian chicken ecotypes, all except Arian and Khorasan, were in Hardy-Weinberg equilibrium (P<0.05). The genetic variations within (84.92%) and between (15.08%) populations were statistically significant (P<0.001). Conclusion: A significant genetic structure that is not completely homogeneous among the Iranian chicken populations can be considered as distinct genetic resources. This study highlights the value of using markers such as LEI0258 to investigate the diversity of genes that play dual roles in immunity and production. | ||
| کلیدواژهها | ||
| Chicken؛ Major histocompatibility complex؛ LEI0258؛ Iran | ||
| مراجع | ||
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Chang, CS; Chen, CF; Berthouly-Salazar, C; Chazara, O; Lee, YP; Chang, CM; Chang, KH; Bed’Hom, B and Tixier-Boichard, M (2012). A global analysis of molecular markers and phenotypic traits in local chicken breeds in Taiwan. Anim. Genet., 43: 172-182.
Esmailnejad, A; Nikbakht Brujeni, G and Badavam, M (2017). LEI0258 microsatellite variability and its association with humoral and cell mediated immune responses in broiler chickens. Mol. Immunol., 90: 22-26.
Fulton, JE (2020). Advances in methodologies for detecting MHC-B variability in chickens. Poult. Sci., 99: 1267-1274.
Fulton, JE; Juul-Madsen, HR; Ashwell, CM; McCarron, AM; Arthur, JA; O’Sullivan, NP and Taylor, RL (2006). Molecular genotype identification of the Gallus gallus major histocompatibility complex. Immunogenetics. 58: 407-421.
Izadi, F; Ritland, C and Cheng, KM (2011). Genetic diversity of the major histocompatibility complex region in commercial and noncommercial chicken flocks using the LEI0258 microsatellite marker. Poult. Sci., 90: 2711-2717.
Kannaki, TR; Reddy, MR; Raja Ravindra, KS and Chatterjee, RN (2017). Genetic diversity analysis of the major histocompatibility complex (MHC) region in Indian native chicken breeds and pureline chickens using the LEI0258 microsatellite marker. Indian J. Anim. Res., 51: 998-1001.
Levene, H (1949). On a matching problem arising in genetics. Ann. Math. Stat., 20: 91-94.
Lima-Rosa, CA; Canal, CW; Vargas Fallavena, PR; Freitas, LB and Salzano, FM (2005). LEI0258 microsatellite variability and its relationship to B-F haplotypes in Brazilian (blue-egg Caipira) chickens. Genet. Mol. Biol., 28: 386-389.
Lwelamira, J; Kifaro, GC; Gwakisa, PS and Msoffe, PLM (2008). Association of LEI0258 microsatellite alleles with antibody response against newcastle disease virus vaccine and body weight in two Tanzania chicken ecotypes. Afr. J. Biotechnol., 7: 714-720.
McConnell, SKJ; Dawson, DA; Wardle, A and Burke, T (1999). The isolation and mapping of 19 tetranucleotide microsatellite markers in the chicken. Anim. Genet., 30: 183-189.
Mpenda, FN; Tiambo, CK; Kyallo, M; Juma, J; Pelle, R; Lyantagaye, SL and Buza, J (2020). Association of LEI0258 marker alleles and susceptibility to virulent Newcastle disease virus infection in Kuroiler; Sasso; and Local Tanzanian Chicken Embryos. J. Pathog., 8: 5187578.
Mustofa, F; Sari, APZNL; Fathoni, A; Sasongko, H; Hariyono, DNH; Manjula, P; Lee, JH and Maharani, D (2022). Microsatellite marker LEI0258 variability in six Indonesian local chicken populations. Proc. 2nd Int. Conf. Smart Innov. Agric., (ICoSIA 2021). 19: 1-3. Mwambene, PL; Kyallo, M; Machuka, E; Githae, D and Pelle, R (2019). Genetic diversity of 10 indigenous chicken ecotypes from southern highlands of Tanzania based on msajor histocompatibility complex-linked microsatellite LEI0258 marker typing. Poult. Sci., 98: 2734-2746.
Nei, M (1973). Analysis of gene diversity in subdivided populations. Proc. Natl. Acad. Sci. USA., 70: 3321-3323.
Nikbakht, G and Esmailnejad, A (2015). Chicken major histocompatibility complex polymorphism and its association with production traits. Immunogenetics. 67: 247-252.
Olufowobi, OT; Ilori, BM; Olowofeso, O; Sogun, OM and Omotoso, AO (2020). Genetic variation of the major histocompatibilty complex-B haplotypes in Nigerian local chicken populations. Agric. Trop. Subtrop., 53: 175-181.
Owen, JP; Delany, ME and Mullens, BA (2008). MHC haplotype involvement in avian resistance to an ectoparasite. Immunogenetics. 60: 621-631.
Shahbazi, S; Mirhosseini, SZ and Romanov, MN (2007). Genetic diversity in five Iranian native chicken populations estimated by microsatellite markers. Biochem. Genet., 45: 63-75.
Takezaki, N; Nei, M and Tamura, K (2014). POPTREEW: Web version of POPTREE for constructing population trees from allele frequency data and computing some other quantities. Mol. Biol. Evol., 31: 1622-1624.
Wang, H; Ma, T; Chang, G; Wan, F; Liu, X; Liu, L; Xu, L; Chen, J and Chen, G (2014). Molecular genotype identification of different chickens: Major histo-compatibility complex. Open Access J. Sci. Technol., 2: 1-7.
Weir, BS and Cockerham, CC (1984). Estimating F-statistics for the analysis of population structure. Evolution (N Y). 38: 1358-1370.
Yeh, F and Boyle, T (1997). Population genetic analysis of co-dominant and dominant markers and quantitative traits. Belg. J. Bot., 1: 157-163.
Yuan, Y; Zhang, H; Yi, G; You, Z; Zhao, C; Yuan, H; Wang, K; Li, J; Yang, N and Lian, L (2021). Genetic diversity of MHC B-F/B-L region in 21 chicken populations. Front. Genet., 12: 8-12.
Zheng, D; O’Keefe, G; Li, L; Johnson, LW and Ewald, SJ (1999). A PCR method for typing B-L II family (class II MHC) alleles in broiler chickens. Anim. Genet., 30: 109-119. | ||
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