Genome-wide association studies for conformation traits in the Turkish Holstein cattle population

Document Type : Full paper (Original article)

Authors

1 Department of Animal Science, Faculty of Agriculture, Ankara University, Ankara, Turkey

2 Ph.D. Student in Animal Breeding and Genetics, Department of Animal Science, Graduate School of Natural and Applied Sciences, Ankara University, Ankara, Turkey

3 Ph.D. in Animal Science, International Center for Livestock Research and Training, Ankara, Turkey

4 Ph.D. in Animal Nutrition, Ministry of Agriculture and Forestry, Ankara, Turkey

5 Department of Animal Science, Faculty of Agriculture, Van Yüzüncü Yıl University, Van, Turkey

6 MSc in Animal Breeding, Cattle Breeder Association of Turkey, Ankara, Turkey

10.22099/ijvr.2025.50205.7407

Abstract

Background: Conformation traits (CNTs) are part of the selection goals that significantly affect cow economic efficiency, health, welfare, and productive life in the dairy industry. Aims: This study focused on a genome-wide association study (GWAS) and genetic parameters estimation for 21 CNTs, including udder, leg-foot, body, type, and final classification traits in the Turkish Holstein (THol) dairy cattle population. Methods: A restricted maximum likelihood with a univariate model including the fixed effects of herd-year-season and days in milk was used. The total dataset consisted of CNTs records and Affymetrix BovineSNP54K data for 3,008 THol cows that calved from 2019 to 2022. The gene ontology and Kyoto Encyclopedia of genes and genome pathway databases were used to assign genes to functional categories. The biological pathways were performed in BioMart databases. Results: The heritability of these 21 CNTs ranged from 0.01 (udder index) to 0.133 (udder depth). A total of 16 significant single nucleotide polymorphisms (SNP) associated with 13 CNTs was identified. Significant SNP overlap in the candidate genes, which include ITGB1, TNN, and SEMA3D, have potential for researchers and breeders for CNTs in cattle breeding. Conclusion: These results provide valuable knowledge and contribute to the elucidation of the genetic factors responsible for conformation traits in dairy cattle populations.

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Abdalla, EA; Peñagaricano, F; Byrem, TM; Weigel, KA and Rosa, GJ (2016). Genome-wide association mapping and pathway analysis of leukosis incidence in a US Holstein cattle population. Anim. Genet., 47: 395-407.
Ali, TE; Burnside, EB and Schaeffer, LR (1984). Relationship between external body measurements and calving difficulties in Canadian Holstein-Friesian cattle. J. Dairy Sci., 67: 3034-3044.
Ashwell, MS; Heyen, DW; Weller, JI; Ron, M; Sonstegard, TS; Van Tassell, CP and Lewin, HA (2005). Detection of quantitative trait loci influencing conformation traits and calving ease in Holstein-Friesian cattle. J. Dairy Sci., 88: 4111-4119.
Boichard, D; Grohs, C; Bourgeois, F; Cerqueira, F; Faugeras, R; Neau, A; Rupp, R; Amigues, Y; Yvonne, MB and Levéziel, H (2003). Detection of genes influencing economic traits in three French dairy cattle breeds. Genet. Sel. Evol., 35: 77-101.
Campos, RV; Cobuci, JA; Kern, EL; Costa, CN and McManus, CM (2015). Genetic parameters for linear type traits and milk, fat, and protein production in Holstein cows in Brazil. Asian-Aus. J. Anim. Sci., 28: 476-484.
Caraviello, DZ; Weigel, KA and Gianola, D (2004). Analysis of the relationship between type traits and functional survival in US Holstein cattle using a Weibull proportional hazards model. J. Dairy Sci., 87: 2677-2686.
Cole, JB; Wiggans, GR; Ma, L; Sonstegard, TS; Lawlor, TJ; Crooker, BA; Van Tassel, CP; Yang, J; Wang, S; Matukumalli, LK and Da, Y (2011). Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary US Holstein cows. BMC Genomics, 12: 1-17.
Cue, RI; Monardes, HG and Hayes, JF (1990). Relationships of calving ease with type traits. J. Dairy Sci., 73: 3586-3590.
Dadati, E; Kennedy, BW and Burnside, EB (1985). Relationships between conformation and reproduction in Holstein cows: type and calving performance. J. Dairy Sci., 68: 2639-2645.
Djedovic, R; Vukasinovic, N; Stanojević, D; Bogdanović, V; Ismael, H; Janković, D; Gligović, N; Brka, M and Štrbac, L (2023). Genetic parameters for functional longevity, type traits, and production in the Serbian Holstein. Animals, 13: 534.
Erdoğan, M; Çinkaya, S; Brenig, B; Çelikeloğlu, K; Demirtaş, M; Sarıibrahimoğlu, S and Tekerli, M (2024). Genome-wide association studies for milk production traits and persistency of first calving Holstein cattle in Turkey. Front. Vet. Sci., 11: 1461075.
Gutiérrez-Reinoso, MA; Aponte, PM and García-Herreros, M (2023). Genomic and phenotypic udder evaluation for dairy cattle selection: A review. Animals. 13: 1588.
Jeong, JY; Ibrahim, M; Kim, MJ; So, K; Jeong, YD; Park, S; Kim, M and Lee, HJ (2017). Comparisons of extracellular matrix-related gene expression levels in different adipose tissues from Korean cattle. Liv. Sci., 198: 138-146.
Kang, HM; Sul, JH; Service, SK; Zaitlen, NA; Kong, SY; Freimer, NB; Sabatti, C and Eskin, E (2010). Variance component model to account for sample structure in genome-wide association studies. Nat. Genet., 42: 348-354.
Kang, HM; Ye, C and Eskin, E (2008). Accurate discovery of expression quantitative trait loci under confounding from spurious and genuine regulatory hotspots. Genetics, 180: 1909-1925.
Long, M; Wang, B; Yang, Z and Lu, X (2024). Genome-Wide association study as an efficacious approach to discover candidate genes associated with body linear type traits in dairy cattle. Animals, 14: 2181.
Lu, X; Abdalla, IM; Nazar, M; Fan, Y; Zhang, Z; Wu, X; Xu, T and Yang, Z (2021). Genome-wide association study on reproduction-related body-shape traits of Chinese Holstein cows. Animals, 11: 1927.
Lund, MS; Guldbrandtsen, B; Buitenhuis, AJ; Thomsen, B and Bendixen, C (2008). Detection of quantitative trait loci in Danish Holstein cattle affecting clinical mastitis, somatic cell score, udder conformation traits, and assessment of associated effects on milk yield. J. Dairy Sci., 91: 4028-4036.
Makgahlela, MI; Mostert, BE and Banga, CB (2009). Genetic relationships between calving interval and linear type traits in South African Holstein and Jersey cattle. SA. Soc. Anim. Sci., 39: 90-92.
McClure, MC; Morsci, NS; Schnabel, RD; Kim, JW; Yao, P; Rolf, MM; McKay, SD; Gregg, SJ; Chapple, RH; Northcutt, SL and Taylor, JF (2010). A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle. Anim. Genet., 41: 597-607.
Michenet, A; Barbat, M; Saintilan, R; Venot, E and Phocas, F (2016). Detection of quantitative trait loci for maternal traits using high-density genotypes of Blonde d’Aquitaine beef cattle. BMC Genet., 17: 1-13.
Miglior, F; Fleming, A; Malchiodi, F; Brito, LF; Martin, P and Baes, CF (2017). A 100-Year review: Identification and genetic selection of economically important traits in dairy cattle. J. Dairy Sci., 100: 10251-10271.
Müller, MP; Rothammer, S; Seichter, D; Russ, I; Hinrichs, D; Tetens, J; Thaller, G and Medugorac, I (2017). Genome-wide mapping of 10 calving and fertility traits in Holstein dairy cattle with special regard to chromosome 18. J. Dairy Sci., 100: 1987-2006.
Nazar, M; Abdalla, IM; Chen, Z; Ullah, N; Liang, Y; Chu, S; Xu, T; Mao, Y; Yang, Z and Lu, X (2022). Genome-Wide association study for udder conformation traits in Chinese Holstein cattle. Animals. 12: 2542.
Olasege, B; Zhang, S; Zhao, Q; Liu, D; Sun, H; Wang, Q; Ma, P and Pan, Y (2019). Genetic parameter estimates for body conformation traits using composite index, principal component, and factor analysis. J. Dairy Sci., 102: 5219-5229.
R Core Team (2021). R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. https://www.R-project.org/.
Roveglia, C; Niero, G; Bobbo, T; Penasa, M; Finocchiaro, R; Visentin, G; Lopez-Villalobos, N and Cassandro, M (2019). Genetic parameters for linear type traits including locomotion in Italian Jersey cattle breed. Livest. Sci., 229: 131-136.
Schrooten, C; Bink, MCAM and Bovenhuis, H (2004). Whole genome scan to detect chromosomal regions affecting multiple traits in dairy cattle. J. Dairy Sci., 87: 3550-3560.
Schrooten, C; Bovenhuis, H; Coppieters, W and Van Arendonk, JAM (2000). Whole genome scan to detect quantitative trait loci for conformation and functional traits in dairy cattle. J. Dairy Sci., 83: 795-806.
Segura, V; Vilhjálmsson, BJ; Platt, A; Korte, A; Seren, Ü; Long, Q and Nordborg, M (2012). An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations. Nat. Genet., 44: 825-830.
Thomasen, JR; Guldbrandtsen, B; Sørensen, P; Thomsen, B and Lund, MS (2008). Quantitative trait loci affecting calving traits in Danish Holstein cattle. J. Dairy Sci., 91:
2098-2105.
Van Dorp, TE; Dekkers, JCM; Martin, SW and Noordhuizen, JPTM (1998). Genetic parameters of health disorders, and relationships with 305-day milk yield and conformation traits of registered Holstein cows. J. Dairy Sci., 81: 2264-2270.
VanRaden, PM (2004). Invited review: Selection on net merit to improve lifetime profit. J. Dairy Sci., 87: 3125-3131.
VanRaden, PM (2008). Efficient methods to compute genomic predictions. J. Dairy Sci., 91: 4414-4423.
Wall, E; White, IMS; Coffey, MP and Brotherstone, S (2005). The relationship between fertility, rump angle, and selected type information in Holstein-Friesian cows. J. Dairy Sci., 88: 1521-1528.
Weller, JI; Bickhart, DM; Wiggans, GR; Tooker, ME; O’Connell, JR; Jiang, J; Ron, M and VanRaden, PM (2018). Determination of quantitative trait nucleotides by concordance analysis between quantitative trait loci and marker genotypes of US Holsteins. J. Dairy Sci., 101: 9089-9107.
Wu, X; Fang, M; Liu, L; Wang, S; Liu, J; Ding, X; Shengli, Z; Qin, Z; Yuan, Z; Lv, Q; Mogens, SL; Guosheng, S and Sun, D (2013). Genome wide association studies for body conformation traits in the Chinese Holstein cattle population. BMC Genet., 14: 1-10.
Zhao, JY and Bass, KD (2018). Skeletal muscle regeneration by extracellular matrix biological scaffold: a case report. J. Wound Care. 27: 11-14.
Zhao, Z; Fu, X; Zhang, G; Li, Y; Wu, M and Tan, Y (2013). The influence of RAMP1 overexpression on CGRP-induced osteogenic differentiation of MG-63 cells in vitro: An experimental study. J. Cell. Biochem., 114: 314-322.