Population diversity, admixture, and demographic trend of the Sumba Ongole cattle based on genomic data
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Objective: Sumba Ongole (SO) cattle are valuable breed due to their important role in the development of Indonesian cattle. Despite rapid advances in molecular technology, no genomic studies on SO cattle have been conducted to date. The aim of this study is to provide genomic profile related to the population diversity, admixture, and demographic trends of SO cattle.Methods: Genomic information was gathered from 79 SO cattle using the Illumina Bovine SNP50 v3 Beadchip, and for comparative purposes, additional genotypes from 209 cattle populations worldwide were included. The expected and observed heterozygosity, inbreeding coefficient, pairwise fixation indices between-population, and Nei's genetic distance were examined. Multidimensional scaling, admixture, and treemix analyses were used to investigate the population structure. Based on linkage disequilibrium and effective population size calculations, the demographic trend was observed.Results: The findings indicated that the genetic diversity of SO cattle was similar to that of other indicine breeds. SO cattle were genetically related to indicines but not to taurines or Bali cattle. The study further confirmed the close relationship between SO, Ongole, and Nellore cattle. Additionally, a small portion of the Ongole mixture were identified dominant in the SO population at the moment. The study also discovered that SO and Bali cattle (<i>Bos javanicus</i>) could have been ancestors in the development of Ongole Grade cattle, which corresponds to the documented history of Ongolization. Our finding indicate that SO cattle have maintained stability and possess unique traits separate from their ancestors.Conclusion: In conclusion, the genetic diversity of the SO cattle has been conserved as a result of the growing significance of the present demographic trend. Consistent endeavors are necessary to uphold the fitness of the breed.
Abstract
Objective: Sumba Ongole (SO) cattle are valuable breed due to their important role in the development of Indonesian cattle. Despite rapid advances in molecular technology, no genomic studies on SO cattle have been conducted to date. The aim of this study is to provide genomic profile related to the population diversity, admixture, and demographic trends of SO cattle. Methods: Genomic information was gathered from 79 SO cattle using the Illumina Bovine SNP50 v3 Beadchip, and for comparative purposes, additional genotypes from 209 cattle populations worldwide were included. The expected and observed heterozygosity, inbreeding coefficient, pairwise fixation indices between-population, and Nei's genetic distance were examined. Multidimensional scaling, admixture, and treemix analyses were used to investigate the population structure. Based on linkage disequilibrium and effective population size calculations, the demographic trend was observed. Results: The findings indicated that the genetic diversity of SO cattle was similar to that of other indicine breeds. SO cattle were genetically related to indicines but not to taurines or Bali cattle. The study further confirmed the close relationship between SO, Ongole, and Nellore cattle. Additionally, a small portion of the Ongole mixture were identified dominant in the SO population at the moment. The study also discovered that SO and Bali cattle (Bos javanicus) could have been ancestors in the development of Ongole Grade cattle, which corresponds to the documented history of Ongolization. Our finding indicate that SO cattle have maintained stability and possess unique traits separate from their ancestors. Conclusion: In conclusion, the genetic diversity of the SO cattle has been conserved as a result of the growing significance of the present demographic trend. Consistent endeavors are necessary to uphold the fitness of the breed.
참고문헌 (29)
- Hardjosubroto W, "Alternative policies for the sustainable management of local beef cattle genetic resources within the national livestock breeding system", Wartazoa, 14, pp.93~97 (2004)
- Barwegen M, "Golden Horns: The History of Livestock Farming on Java, 1850–2000" (2020), ProQuest LLC
- Astuti M, "Potential and genetic resources diversity of Ongole Grade cattle", Wartazoa, 14, pp.98~106 (2004)
- Diwyanto K, "Utilization of local resources and technological innovation to support the development of beef cattle in Indonesia", Pengembangan Inovasi Pertanian, 1, pp.173~188 (2008)
- Sumadi, Siliwolu, "Research on the genetic quality of Ongole and Brahman cattle in East Sumba Regency, East Nusa Tenggara", Proceedings of National Beef Cattle Workshop, pp.31~41 (2004), Indonesian Center for Animal Research and Development
- Statistics of Sumba Timur, "Sumba Timur in Figures 2023", BPS-Statistics of Sumba Timur, ~ (2023)
- Lenstra JA, "Molecular tools and analytical approaches for the characterization of farm animal genetic diversity", Anim Genet, 43, pp.483~502 (2012)[DOI]
- Agung PP, "The potency of Sumba Ongole(SO)cattle : A study of genetic characterization and carcass productivity", J Indones Trop Anim Agric, 40, pp.71~78 (2015)[DOI]
- Jakaria J, "Diversity of D-loop mitochondrial DNA(mtDNA)sequence in Bali and Sumba Ongole cattle breeds", J Indones Trop Anim Agric, 44, pp.335~345 (2019)[DOI]
- Vignal A, "A review on SNP and other types of molecular markers and their use in animal genetics", Genet Sel Evol, 34, pp.275~ (2002)[DOI]
- Wilkinson S, "Population genomics: concepts, approaches and applications", pp.709~753 (2019), Springer Nature
- Sudrajad P, "An insight into the evolutionary history of Indonesian cattle assessed by whole genome data analysis", PLoS ONE, 15, pp.e0241038~ (2020)[DOI]
- Adinata Y, "Comparison of growth curve models for Ongole Grade cattle", Trop Anim Health Prod, 54, pp.252~ (2022)[DOI]
- Dixit SP, "Genome-wide Runs of Homozygosity revealed selection signatures in Bos indicus", Front Genet, 11, pp.92~ (2020)[DOI]
- Decker JE, "Worldwide patterns of ancestry, divergence, and admixture in domesticated cattle", PLoS Genet, 10, pp.e1004254~ (2014)[DOI]
- Chang CC, "Second-generation PLINK : rising to the challenge of larger and richer datasets", GigaScience, 4, pp.s13742–015–0047–8~ (2015)[DOI]
- "R: A language and environment for statistical computing" (2021)[URL]
- Yang J, "Genome-wide association studies and genomic prediction", pp.215~236 (2013), Springer Science+Business Media
- Raj A, "fastSTRUCTURE : Variational inference of population structure in large SNP data sets", Genetics, 197, pp.573~589 (2014)[DOI]
- Pickrell JK, "Inference of population splits and mixtures from genome-wide allele frequency data", PLoS Genet, 8, pp.e1002967~ (2012)[DOI]
- Reich D, "Reconstructing Indian population history", Nature, 461, pp.489~494 (2009)[DOI]
- Sved JA, "One hundred years of linkage disequilibrium", Genet, 209, pp.629~636 (2018)[DOI]
- Barbato M, "SNeP : a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data", Front Genet, 6, pp.109~ (2015)[DOI]
- Santiago E, "Recent demographic history inferred by high-resolution analysis of linkage disequilibrium", Mol Biol Evol, 37, pp.3642~3653 (2020)[DOI]
- Utsunomiya YT, "Genomic clues of the evolutionary history of Bos indicus cattle", Anim Genet, 50, pp.557~568 (2019)[DOI]
- Hegde NG, "Livestock development for sustainable livelihood of small farmers", Asian J Res Anim Vet Sci, 3, pp.1~17 (2019)
- Movahedin MR, "Detection of genetic variation in sample of Iranian proofed Holstein cattle by using microsatellite marker", Afr J Biotechnol, 9, pp.9042~9045 (2010)
- Watuwaya BK, "Analysis of the potential development of beef cattle in East Sumba Regency, East Nusa Tenggara Province, Indonesia", IOP Conf Ser : Earth Environ Sci, 492, pp.012153~ (2020)[DOI]
- Adepoju D, "Estimating the effective population size of Swedish native cattle", pp.2022
