Genetic diversity analysis by using Heterologous Microsatellite markers among cattle and buffalo breeds
Genetic diversity in cattle and buffalo breeds
DOI:
https://doi.org/10.62310/liab.v4i1.140Keywords:
Microsatellite markers, Genetic variation, Cattle, Buffalo, BottleneckAbstract
Microsatellite markers have become a reliable technique for genetic diversity studies, parentage analysis, and breed characterization in animals. The 18 amplified heterologous microsatellite markers out of 20 microsatellites were used for studying the genetic variation among cattle and buffalo. The estimated mean allelic diversity for cattle breeds was 12.50 for Sahiwal, 10.94 alleles in HF crossbred, and 10.444 and 10.944 alleles for Murrah and Nili Ravi breeds of buffalo, respectively. The Sahiwal breed had the highest allelic diversity compared to other studied breeds. A high level of genetic variability was observed for the observed heterozygosity (0.857±0.027) and expected heterozygosity (0.811±0.017) between the Sahiwal and HF crossbred breed of cattle. A low level of genetic variability was observed between the Murrahand Nili Ravi breeds of buffalo. The FIS values -0.156 to 0.065 depicted low inbreeding in the breeds. The Nei's genetic distance was measured for all the breeds which showed the genetic distance/divergence between the HF crossbred and Sahiwal was 1.070. The genetic difference based on Nei's genetic distance between the cattle HF crossbred and Nili Ravi breed of buffalo was 2.456. The genetic difference between the Nili Ravi breed of buffalo and the HF crossbred was the highest. The principal component analysis accurately reflected genetic distances, forming distinct groups for HF crossbred, Sahiwal, Murrah, and Nili Ravi. The HF crossbred and Sahiwal appeared in different coordinates, indicating the notable genetic distance between these breeds, while Nili Ravi and Murrah clustered together in a single coordinate. These groups showcased clear genetic distinctiveness. The bottleneck analysis exhibited the typical L-shaped pattern, implying that all breeds did not undergo a recent bottleneck and were not at risk of potential extinction.
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Ansari A, Sikarwar P, Lade S, Yadav H, Ranade SH. (2016). Genetic diversity clusters in germplasm of Cluster Bean (Cyamopsis tetragonoloba L., Taub), an important food and an industrial legume crop. Journal of Agricultural Science and Technology 18(5): 1393-1406.
Barker GC. (2002). Microsatellite DNA: a tool for population genetic analysis. Transactions of the Royal Society of Tropical Medicine and Hygiene 96: S21-S24. https://doi.org/10.1016/S0035-9203(02)90047-7
Behl R, Sheoran N, Behl J, Tantia MS, Vijh, RK. (2002). Microsatellite sequences of mammals and their applications in genome analysis in pigs - A review. Asian-Australasian Journal of Animal Sciences 15(12): 1822-1830.
Bora SK, Tessema TS, Girmay G. (2003). Genetic diversity and population structure of selected Ethiopian indigenous cattle breeds using microsatellite markers. Genetics Research 2023: 1106755. https://doi.org/10.1155/2023/1106755
Du J, Hou C, Chen X, Xiao J, Gul Y, Wang H. (2022). Morphometric analysis and fluorescent microsatellite markers to evaluate the genetic diversity of five populations of Penaeus japonicus in China. Aquaculture and Fisheries 7(3): 321-327. https://doi.org/10.1016/j.aaf.2020.10.005
Georges M, Massey JM. (1992). Polymorphic DNA Markers in Bovidae. (World Intellectual Property Organization, Geneva) WO Publ. No. 92/13102.
Green M R, Sambrook J. (2018). Isolation and Quantification of DNA. Cold Spring Harbor Protocols 2018(6). https://doi.org/10.1101/pdb.top093336
Groeneveld LF, Lenstra JA, Eding H, Toro MA, Scherf B, Pilling D, Negrini R, Finlay EK, Groeneveld JE, Weigend S, Globaldiv Consortium. (2010). Genetic diversity in farm animals – a review. Animal Genetics 41: 6-31. https://doi.org/10.1111/j.1365-2052.2010.02038.x
Gupta AK, Chauhan M, Tandon SN, Sonia. (2005). Genetic diversity and bottleneck studies in the Marwari horse breed. Journal of Genetics 84(3): 295–301. https://doi.org/10.1007/bf02715799
Hussain T, Babar ME, Ali A, Nadeem A, Rehman ZU, Musthafa MM, Marikar FM. (2017). Microsatellite-based genetic variation among the buffalo breed populations in Pakistan. Journal of Veterinary Research 61(4): 535-542. https://doi.org/10.1515/jvetres-2017-0057
ISAG Conference. (2006). Cattle Molecular Markers and Parentage Testing Workshop, Porto Seguro, Brazil. http://www.isag.org.uk/ISAG/all/ISAG2006_CMMPT.pdf
Kardos M, Taylor HR, Ellegren H, Luikart G, Allendorf FW. (2016). Genomics advances the study of inbreeding depression in the wild. Evolutionary Applications 9(10): 1205–1218. https://doi.org/10.1111/eva.12414
Karthickeyan SMK, Sivaselvam SN, Selvam R, Thangaraju P. (2009). Microsatellite analysis of Kangayam cattle (Bos indicus) of Tamil Nadu. Indian Journal of Science and Technology 2(10): 38-40.
Kataria RS, Sunder S, Malik G, Mukesh M, Kathiravan P, Mishra BP. (2009). Genetic diversity and bottleneck analysis of Nagpuri buffalo breed of India based on microsatellite data. Russian Journal of Genetics 45(7): 826-832. https://doi.org/10.1134/S1022795409070102
Kathiravan P, Mishra BP, Kataria RS, Goyal S, Tripathy K, Sadana DK. (2010). Short tandem repeat-based analysis of genetic variability in Kanarese buffalo of South India. Russian Journal of Genetics 46: 988-993. https://doi.org/10.1134/S1022795410080119
Kemp SJ, Hishida O, Wambugu J, Rink A, Teale AJ, Longeri ML, Teale AJ. (1995). A panel of polymorphic bovine, ovine, and caprine microsatellite markers. Animal Genetics 26(5): 299-306. https://doi.org/10.1111/j.1365-2052.1995.tb02663.x
Litt M, Luty JA. (1989). A hypervariable microsatellite revealed by in vitro amplification of a dinucleotide repeat within the cardiac muscle actin gene. American Journal of Human Genetics 44(3): 397 – 401.
Martinez MM, Costa M, Corva PM. (2021). Analysis of genetic variability in the Argentine polo horse with a panel of microsatellite markers. Journal of Equine Veterinary Science 96: 103320. https://doi.org/10.1016/j.jevs.2020.103320
Moore SS, Evans D, Byrne K, Barker JSF, Tan SG, Vankan D, Hetzel DJS. (1995). A set of polymorphic DNA microsatellites useful in swamp and river buffalo (Bubalus bubalis). Animal Genetics 26(5): 355-359. https://doi.org/10.1111/j.1365-2052.1995.tb02674.x
Radhika G, Aravindakshan T V, Anilkumar K, Manoj M, Thomas S. (2023). Genetic diversity analysis of cattle genetic groups of Kerala state using microsatellite data. Animal Biotechnology 34(4): 1154-1162. https://doi.org/10.1080/10495398.2021.2014857
Sharma PN, Diaz LM, Blair MW. (2013). Genetic diversity of two Indian common bean germplasm collections based on morphological and microsatellite markers. Plant Genetic Resources 11(2): 121-130. https://doi.org/10.1017/S1479262112000469
Sodhi M, Mukesh M, Prakash B, Mishra BP, Sobti RC, Singh KP, Ahlawat SPS. (2007). Microsatellite marker-based characterization of genetic diversity in Kankrej cattle. Journal of Applied Animal Research 31(2): 153-158. https://doi.org/10.1080/09712119.2007.9706651
Vaiman D, Mercier D, Moazami-Goudarzi K, Eggen A, Ciampolini R, Lepingle A, Guerin G. (1994). A set of 99 cattle microsatellites: characterization, synteny mapping, and polymorphism. Mammalian Genome 5: 288-297. https://doi.org/10.1007/BF00389543
Whitlock MC. (1999). Neutral additive genetic variance in a metapopulation. Genetics Research 74(3): 215-221.
Zhang Y, Wang Y, Sun D, Yu Y, Zhang Y. (2010). Validation of 17 microsatellite markers for parentage verification and identity test in Chinese Holstein cattle. Asian-Australasian Journal of Animal Sciences 23(4): 425-429.
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Accepted 2024-04-19
Published 2024-04-21