Genetic diversity of Bahmaei sheep breed using microsatellite analysis

Document Type : Research Paper

Authors

1 MSc graduate of Genetics and Animal Breeding, Department of Animal Science, Faculty of Agriculture, University of Yasouj, Yasouj, Iran

2 Assistant professor of Animal Science Department, Faculty of Agriculture Science, University of Yasouj, Yasouj, Iran

Abstract

Introduction In Iran, sheep are one of the important farm animals for a variety of products (milk, meat, and wool), and their important role as a sacrificial animal in many religious ceremonies. Genetic variation in economic traits is the basis of breeding programs in sheep and the lack of diversity in the base population has the limiting effect on selection power to meet unpredictable needs in the future. Generally, microsatellites are considered codominant and highly polymorphic markers and have quickly become one of the best molecular markers to estimate genetic diversity in different livestock species. In recent years, several studies have been reported the use of microsatellites to determine genetic diversity, population structure, genetic differentiation and phylogenetic reconstruction with the aim of identifying endangered populations and also developing genetic conservation strategies in sheep. Therefore, this study aimed to assess the genetic diversity and population genetic structure of the Bahmaei sheep breed in the Kuhgiloyeh and Boyer Ahmad province of Iran using 10 microsatellite markers.
Materials and methods In this study, blood samples were collected from 20 non-related animals of the Bahmaei sheep breed in Kohgiluyeh and Boyer Ahmad province. DNA was extracted from samples using the Takapouzist Kit (BiONEER), following the manufacturer’s instructions. The genetic variation of obtained samples was investigated using 10 different microsatellite markers. Microsatellite loci were selected from different chromosomes of the genome to reduce the possibility of linkage between the loci and to obtain an appropriate genetic variation estimation due to the same dispersion of markers on different chromosomes. PCR amplification was performed at a reaction volume of 25 µL. The final concentration of reaction mixtures contained 1 unit Taq DNA polymerase enzyme, 200 μM of each dNTP, 1.5 mM MgCl2, 18 pm of each primer, 50 ng DNA, and 2.5 mM 10× buffer, for all the microsatellite markers. After performing the PCR, the amplified DNA fragments were separated by 8% polyacrylamide gel electrophoresis. Then, the alleles were characterized by silver nitrate staining. The allele frequencies for all loci, observed (Na) and effective number of alleles (Ne) per locus, expected (He) and observed heterozygosity (Ho), Shannon's information index (I) as a measure of genetic variation, and Deviation from Hardy Weinberg's equilibrium were estimated by Chi-square test and Wright's index (F) using the GenAIEx 6.5 software. The polymorphism information content (PIC) for each locus was estimated using PowerMarker software.
Results and discussions
A total of 108 alleles were found in 10 microsatellite loci. The highest and lowest allele numbers were for BM6444 and ETH10 loci, respectively. In Qashqai Lak sheep, a total of 88 alleles were identified for the same number of 10 loci, and TGLA53 and ETH10 loci showed the maximum and minimum number of alleles with 15 and 2 alleles, respectively (Salehi and Muhaghegh, 2015).
The mean observed heterozygosity was more than expected for all loci. Based on the results, the observed heterozygosity at all loci was 1.0. The expected heterozygosity range in the 10 studied loci was from 0.55 to 0.91, the highest of which is related to BM6444, and the smallest is ETH10. The highest unbiased expected heterozygosity was for BM6444 and the lowest was for ETH10. The mean observed, expected, and unbiased expected heterozygosity were 1, 0.81, and 0.83, respectively, indicating a high level of heterozygosity in the analyzed population. The average value of polymorphism information content (PIC) for all loci was 0.79 for 10 microsatellites. The PIC for all investigated markers was higher than 0.5 in 7 breeds of Montenegrin sheep, ranging from 0.60 (INRA172a) to 0.93 (CP49a), so they can be considered to contain high PIC (Marković et al. 2022). In this study, by comparing the Shannon index among the 10 markers, all of which were polymorphic. The highest value of the Shannon index was related to the BM6444 marker with the highest allele number and the lowest value of the Shannon index was for the ETH10 marker with the lowest allele number. The average Shannon index was also high for all loci, indicating the high polymorphism of these loci and confirming the high genetic variation. In two breeds of Bulgarian sheep, the average Shannon index for both populations was 1.79, and the highest and lowest index values were obtained for McM042 and INRA005 loci, respectively (Odjakova et al. 2023). Negative or near zero values of Wright's index for loci indicate that there is a cross between animals whose kinship relationship is less than the average relative relationship of the corresponding population. Tests of genotype frequencies for deviation from the Hardy-Weinberg equilibrium (HWE) at each locus, revealed a significant departure from HWE for all loci (p<0.001). In 13 Colombian sheep breeds, Hardy-Weinberg equilibrium tests for 11 microsatellite markers showed significant deviations (P<0.05), which indicated heterozygous deficiency in each breed (Ocampo et al. 2016).
Conclusion In this research, the genetic diversity of Bahamei sheep breed was investigated using 10 microsatellite markers. The results of the present research indicate the basic information about the genetic diversity in the Bahamai sheep, one of the native sheep of Kohgiluyeh and Boyer Ahmad provinces. The studied population showed high genetic diversity through the high number of effective alleles, mean number of alleles, heterozygosity and PIC values. Therefore, the results reported in this study can provide useful indicators for developing more in-depth studies with more accurate sampling of sheep and increasing the sample size to determine appropriate conservation and breeding priorities, especially considering its potential economic and cultural importance.
Keywords: Bahmaei sheep, Genetic variation, microsatellite

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سلیمانی ب، چهارآیین ب و رحیمی میانجی ق، 1391. بررسی چند شکلی نشانگر‌های ریزماهواره‌ ایBM6444، INRA135 و oarhh35 مرتبط با ژن‌ اینهیبین در گوسفند سنجابی. پژوهشهای علوم دامی ایران، جلد4 شماره1، صفحه های 90-84.‎
سید شریفی ب, هدایت ایوریق ن, سیف دواتی ج , ساور س، 1399. بررسی ساختار ژنتیکی گوسفند سنجابی با استفاده از نشانگرهای ریزماهواره. فصلنامه علمی فیزیولوژی و تکوین جانوری، جلد 13 شماره 4، صفحه های 70-61.
صالحی ز و محقق دولت آبادی م، 1395. تنوع ژنتیکی گوسفند نژاد لک قشقایی در استان کهگیلویه و بویراحمد با استفاده از نشانگرهای ریزماهواره. نشریه پژوهش‌ در نشخوار کنندگان، جلد4 شماره3، صفحه های 6-1.
کسرایی ک، رافت س، شجاع غیاث ج و جوانمرد آ، 1395. آزمون انساب در جمعیت گوسفندهای آمیخته به کمک نشانگرهای ریزماهواره. پژوهش های علوم دامی (دانش کشاورزی)، جلد24 شماره 2، صفحه های 150-141.
غلامی ح، 1394 . راهنمای پرورش گوسفند و بز ویژه طرح بسیج همگام با کشاورز./گوسفند بهمئی https://sabokdam.com/
نقویان س،  حسنی س، آهنی آذری م، خان احمدی ع، ساقی دع، مامیزاده ن، 1393 مطالعه تنوع ژنتیکی گوسفند کردی شیروان با استفاده از نشانگرهای ریزماهواره و مقایسه ضریب همخونی بدست آمده با استفاده از اطلاعات شجره‌ای. پژوهش های علوم دامی (دانش کشاورزی)، جلد 24 شماره 1، صفحه های 105-93.‎
Ahmed Z, Babar ME, Hussain T, Nadeem A, Awan FI, Wajid A, Shah, SA and Ali MM, 2014. Genetic diversity analysis of Kail sheep by using microsatellite markers. The Journal of Animal and Plant Sciences 24(5): 1329-1333.
Al-Barzinji YMS, Lababidi S, Rischkowsky B, Al-Rawi AA, Tibbo M, Hassen H and Baum M, 2011. Assessing genetic diversity of Hamdani sheep breed in Kurdistan region of Iraq using microsatellite markers. African Journal of Biotechnology 10: 15109- 15116.
Alberto FJ, Boyer F, Orozco-terWengel P, Streeter I, Servin B, de Villemereuil P, Benjelloun B, Librado P, Biscarini F, Colli L and Barbato M, 2018.Convergent genomic signatures of domestication in sheep and goats. Nature Communications 9:813.
Arranz JJ, Bayon Y and Primitivo FS, 2001. Genetic variation at microsatellite loci in Spanish sheep. Small Ruminant Research 39:3-10.
Babar ME, Hussain T, Nadeem N, Jabeen R and Javed M, 2009. Genetic Characterization of Azakheli Buffalo Breed of Pakistan Using Microsatellites DNA Markers. Pakistan Journal of Zoology 9: 361-366.
Barker JFS, 2001. Conservation and management of genetic diversity: a domestic animal perspective. Canadian Journal of Forest Research 31(4):588–595.
Baumung R, Simianer H and Hoffmann I, 2004. Genetic diversity studies in farmanimals—a survey. Journal of Animal Breeding and Genetics 121: 361-373.
Beketov SV, Deniskova TE, Dotsev AV, Nikolaeva EA, Zinovieva NA, Selionova MI and Stolpovsky YA, 2024. Populations of Tuvan Shot Fat-Tailed Sheep in the Gene Pool Structure of the Sheep Breeds of the Russian Federation. Russian Journal of Genetics 60(1):87-99.
Botstein R, White L, Skolnik M and Davis RW, 1980. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. The American Journal of Human Genetics 32: 314-331.
Chen RJ, Yang ZP, Ji DJ, Qu DY, Li YL, Mao YJ and Huang DL, 2009. Analysis of genetic polymorphism in six meat sheep breeds and genetic distances between them. Czech Journal of Animal Science 54:461-467.
Demirci S, Koban Baştanlar E, Dağtaş ND, Pişkin E, Engin A, Özer F, Yüncü, E, Doğan, ŞA and Togan, I, 2013. Mitochondrial DNA diversity of modern, ancient and wild sheep (Ovis gmelinii anatolica) from Turkey: new insights on the evolutionary history of sheep. PLoS One 8:e81952.
Dossybayev K, Orazymbetova Z, Mussayeva A, Saitou N, Zhapbasov R, Makhatov B and Bekmanov B, 2019. Genetic diversity of different breeds of Kazakh sheep using microsatellite analysis. Archives Animal Breeding 62(1):305-12.
Frankham R, Briscoe DA and Ballou JD, 2002. Introduction to Conservation Genetics, Cambridge University Press.
Fuks D and Marom N. 2021. Sheep and wheat domestication in southwest Asia: a meta-trajectory of intensifcation and loss. Animal Frontier: 11:20–9.
Gandini GC and Villa E, 2003. Analysis of the cultural value of local livestock breeds: A methodology. Journal of Animal Breeding and Genetics 120(1): 1–11.
Groeneveld, LF, Lenstra JA, Eding H, Toro MA, Scherf B, Pilling D, Negrini R, Finlay EK, Jianlin H, Groeneveld E and Weigend S, 2010. Genetic diversity in farm animals–a review. Animal Genetics, 41: 6-31.
Hedrick PW, 1995. Gene flow and genetic restoration: The Florida panther as a case study. Conservation Biology 9: 996-1007.
Jawasreh, KI, Ababneh MM, Ismail ZB, Younes AMEB and Al Sukhni I, 2018. Genetic diversity and population structure of local and exotic sheep breeds in Jordan using microsatellites markers. Veterinary World 11(6): 778.
Jyotsana B, Jakhesara S, Prakash V, Rank DN and Vataliya PH, 2010. Genetic features of Patanwadi, Marwari and Dumba sheep breeds (India) inferred by microsatellite markers. Small Ruminant Research 93(1): 57-60.
Kabasakal A, 2023. Intra-Breed Genetic Diversity and Genetic Bottleneck Tests in a Karacabey Merino Sheep Breeding Farm Using Microsatellite Markers. KAFKAS Kafkas Universitesi Veteriner Fakultesi Dergisi, 29(3).
Khan MA, Husain SS, Alam MR, Teneva A, Han JL and Faruque MO, 2009. Genetic relationship in different sheep populations of Bangladesh based on microsatellite markers. Journal of Bangladesh Agricultural University 7: 291-294
Li MH, Zhao SH, Bian C, Wang HS, Wei H, Liu B, Yu M, Fan B, Chen SL, Zhu MJ and Li SJ, 2002. Genetic relationships among twelve Chinese indigenous goat populations based on microsatellite analysis. Genetics Selection Evolution 34:1-6.
Loukovitis D, Siasiou A, Mitsopoulos I, Lymberopoulos AG, Laga V and Chatziplis D, 2016. Genetic diversity of Greek sheep breeds and transhumant populations utilizing microsatellite markers. Small Ruminant Research 136:238-42.
Loukovitis D, Szabó M, Chatziplis D, Monori I and Kusza S, 2023. Genetic diversity and substructuring of the Hungarian merino sheep breed using microsatellite markers. Animal Biotechnology 34(4):1701-1709.
Mahmoudi B, 2010. Genetic Diversity of Lori Goat Population Based on Microsatrllite Marker. Asian Journal of Animal Science 4: 13-19.
Marković M, Radonjić D, Zorc M, Đokić M and Marković B, 2022. Genetic Diversity of Montenegrin Local Sheep Breeds Based on Microsatellite Markers. Animals 12(21): 3029.
Meuwissen TH, 1991. Reduction of selection differentials in finite populations with a nested full-half sib family structure. Biometrics 47(1): 195-203.
Mihailova Y, Rusanov K, Rusanova M, Vassileva P, Atanassov I, Nikolov V and Todorovska EG, 2023. Genetic Diversity and Population Structure of Bulgarian Autochthonous Sheep Breeds Revealed by Microsatellite Analysis. Animals 13(11):1878.
Miller JM, Malenfant RM, David P, Davis CS, Poissant J, Hogg JT, Festa-Bianchet M and Coltman D, 2014. Estimating genome-wide heterozygosity: effects of demographic history and marker type. Heredity 112(3):240-7.
Nanekarani SH, Amirinia C and Amirmozafari N, 2011. Genetic analyses of Karakul sheep breed using microsatellite markers. African Journal of Microbiology 5: 703- 707.
Ocampo R, Cardona H and Martínez R, 2016. Genetic diversity of Colombian sheep by microsatellite markers. Chilean Journal of Agricultural Research 76(1):40-7.
Odjakova T, Todorov P, Kalaydzhiev G, Salkova D, Dundarova H, Radoslavov G, Hristov P, 2023. A study on the genetic diversity and subpopulation structure of three Bulgarian mountainous sheep breeds, based on genotyping of microsatellite markers. Small Ruminant Research 226:107034.
Sharifi–Sidani E, Amirinia C, Lavaf A, Farasati C and Aminafshar A, 2009. Genetic variation among different ecotypes of the Iranian Sanjabi sheep. Journal of Animal Veterinary Advances 8: 1173- 1176.
Thimmappaiah W, Santhosh G, Shobha D and Melwyn GS, 2008. Assessment of genetic diversity in cashew germplasm using RAPD and ISSR markers. Sciatica Horticulture 118: 1-7.
Van der Westhuizen L, Magwaba T, Grobler JP, Bindeman H, du Plessis C, Van Marle-Köster E and Neser FWC, 2019. Genetic variability in a population of Letelle sheep in South Africa. South African Journal of Animal Science 49(2): 281-289.
Visser C, Marle-Köster EV and Friedrich H, 2011. Parentage verification of South African Angora goats, using microsatellite markers. South African Journal of Animal Science 41: 250- 255.
Yousif AN, Abdullah SM, Shaker AS, Ameen QA, Mohammed MS, Muhammad SJ, Mustafa SM and Aziz CR, 2023. Genetic diversity assessment of some Iraqi Sheep breeds using micro satellite DNA markers. Tikrit Journal for Agricultural Sciences 23(3):41-50.