Polymorphisms in INHA, IGF1, and MSTN genes show no significant association with morphometric traits in Madura cattle https://doi.org/10.12982/VIS.2026.087

Main Article Content

Irida Novianti
Rizal Rinaldi
Habib Asshidiq Syah
Emmanuela Jennifer Sharon Dolorosa Purwanto Junior
Veronica Margareta Ani Nurgiartiningsih
Suyadi
Ari Ardiantoro
Rafika Febriani Putri
Muhammad Pramujo
Wike Andre Septian
Kuswati

Abstract

This research aimed to investigate the association of Polymorphisms in Inhibin Alpha (INHA), Insulin-like Growth Factor 1 (IGF1), and Myostatin (MSTN) genes as well as morphometric traits in local cattle. A total of 57 Madura bulls traditionally reared (under the supervision of the Department of Food Security and Agriculture of Pamekasan Regency) Pamekasan, Indonesia, were use. The morphometric traits analyzed were body length (BL), chest girth (CG), chest width (CW), wither height (WH), hip height (HH), and hip length (HL). Furthermore, DNA of the animals was extracted, amplified, and analyzed using Sanger sequencing to identify Single Nucleotide Polymorphisms (SNPs). Statistical association analyses were also performed through linear mixed models based on Restricted Maximum Likelihood (REML) method. The six SNPs identified were 1) one SNPs in IGF1 located in the 5′ upstream region of the IGF1 gene (ARS-UCD2.0: chr5:g.66191099G>T), 2) four SNPs in INHA in Exon 1,  including two missense mutations (INHA, chr2:g.107501905T>C and g.107502030G>A) and two synonymous mutations (g.107502020G>A and g.107502062C>G), and 3) one synonymous variant in MSTN (MSTN, chr2: g. 6279263G>A). The results showed that INHA SNP4 was established as a novel variant, without preceding reports. In addition, no significant associations were reported between SNPs and morphometric traits (p > 0.05). Although no significant associations were found with the studied morphometric traits, the genetic variability observed in MSTN, INHA, and IGF1 may hold potential relevance for other economically important characteristics. This baseline information could serve as a starting point for future studies aiming to evaluate their possible role in genetic improvement programs of Madura cattle.

Article Details

How to Cite
Novianti, I., Rinaldi, R., Syah, H. A. ., Junior, E. J. S. D. P., Nurgiartiningsih, V. M. A., Suyadi, Ardiantoro, A. ., Putri, R. F. ., Pramujo, M., Septian, W. A., & Kuswati. (2026). Polymorphisms in INHA, IGF1, and MSTN genes show no significant association with morphometric traits in Madura cattle: https://doi.org/10.12982/VIS.2026.087. Veterinary Integrative Sciences, 24(3), 1–16. retrieved from https://he02.tci-thaijo.org/index.php/vis/article/view/275819
Section
Research Articles

References

Abuzahra, M., Wijayanti, D., Effendi, M.H., Mustofa, I., Munyaneza, J.P., Eid, L.A., Ugbo, E.N., 2024. Association of INHA gene polymorphisms with litter size trait in Indonesian Thin-Tailed Sheep. Trop. Anim. Sci. J. 47, 273–279.

Ali, M., Zhang, Y., Rasheed, A., Wang, J., Zhang, L., 2020. Genomic prediction for grain yield and yield-related traits in Chinese winter wheat. Int. J. Mol. Sci. 21, 1342.

Babar, M.E., Ali, A., Nadeem, A., Jabeen, R., 2010. Potential and the scope of marker assisted selection for buffalo in Pakistan. Rev. Vet. 21, 61–65.

Bayraktar, M., Özdemir, M. 2022. A meta-analysis of the association between Growth Hormone (GH) gene polymorphism and growth traits in cattle breeds. Journal of the Hellenic Veterinary Medical Society. 73, 4657-4666.

Bortoluzzi, C., Bosse, M., Derks, M.F., Crooijmans, R.P., Groenen, M.A., Megens, H.J., 2020. The type of bottleneck matters: Insights into the deleterious variation landscape of small managed populations. Evol. Appl. 13, 330–341.

Covarrubias-Pazaran, G., 2016. Genome-Assisted prediction of quantitative traits using the R package sommer. PLoS ONE. 11, e0156744.

Cui, Z., Liu, L., Zhao, X., Ran, J., Wang, Y., Yin, H., Li, D., Zhu, Q., 2019. Analysis of expression and single nucleotide polymorphisms of INHA gene associated with reproductive traits in chickens. Biomed Res. Int. 2019, 8572837.

Deb, R., Mukhopadhyay, C.S., Sengar, G.S., da Cruz, A.S., Silva, D.C., Pinto, I.P., Minasi, L.B., Costa, E.O.A., da Cruz, A.D., 2020. Genetic markers for improving farm animals. In: Malik, Y.S., Barh, D., Azevedo, V., Khurana, S.M.P. (Eds.), Genomics and biotechnological advances in veterinary, poultry, and fisheries. Academic Press, London, pp. 107–129.

Deng, B., Zhang, F., Wen, J., Ye, S., Wang, L., Yang, Y., Gong, P., Jiang, S., 2017. The function of Myostatin in the regulation of fat mass in mammals. Nutr. Metab. 14, 1.

Eusebi, P.G., Martinez, A., Cortes, O., 2019. Genomic tools for effective conservation of livestock breed diversity. Diversity. 12, 8.

Fonseca P.A.D., Id-Lahoucine S., Reverter A., Medrano J.F., Fortes M.S., Casellas J., Miglior F., Brito L., Carvalho M.R.S., Schenkel F.S., Nguyen L.T., Porto-Neto L.R., Thomas M.G., Cánovas A., 2018. Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle. PLoS One. 13, e0205295.

Fosgate, G.T., 2009. Practical sample size calculations for surveillance and diagnostic investigations. J. Vet. Diagn. Investig. 21, 3–14.

Fragomeni, B.O., Lourenco, D.A.L., Tsuruta, S., Masuda, Y., Aguilar, I., Legarra, A., Lawlor, T.J., Misztal, I., 2015. Hot topic: Use of genomic recursions in single-step genomic BLUP with a large number of genotypes. J. Dairy Sci. 98, 4090–4094.

Frizzas, O.G., Grossi, D.A., Buzanskas, M.E., Paz, C.C.P., Bezerra, L.A.F., Lbo, R.B., Oliveira, J.A., Munari, D.P., 2009. Heritability estimates and genetic correlations for body weight and scrotal circumference in Nellore cattle. Anim. 3, 347–351.

Gaina, C.D., Amalo, F.A., 2022. Genetic polymorphism of Myostatin gene in Sumba Ongole cattle and its association with growth traits. J. Adv. Vet. Anim. Res. 9, 565–572.

Ge, W., Davis, M.E., Hines, H.C., Irvin, K.M., Simmen, R.C. 2001. Association of a genetic marker with blood serum insulin-like growth factor-I concentration and growth traits in Angus cattle. J. Anim. Sci. 79, 1757–1762.

Gibson, M., Hickson, R., Back, P., Dittmer, K., Schreurs, N., Rogers, C., 2021. The Effect of sex and age on bone morphology and strength in the metacarpus and humerus in beef-cross-dairy cattle. Animals. 11, 694.

Gorlov, I.P., Gorlova, O.Y., Sunyaev, S.R., Spitz, M.R., Amos, C.I., 2008. Shifting paradigm of association studies: value of rare SNPs. Am. J. Hum. Genet. 82, 100–112.

Han, Y.J., Chen, Y., Liu, Y., Liu, X.L., 2017. Sequence variants of the LCORL gene and its association with growth and carcass traits in Qinchuan cattle. J. Genet. 96, 9–17.

Han, Y., Jiang, T., Shi, J.A., Liu, A., Liu, L., 2023. Role and regulatory mechanism of inhibin in animal reproductive system. Theriogenology, 202, 10-20.

Hartati, H., Luthfi, M., Khrisna, N.H., Sukmasari, P.K., Fitrayady, H.P., Widiyawati, R., Dikman, D.M., 2021. The productivity evaluation of madura cattle under beef cattle research station breeding management. Kafkas Üniversitesi Veteriner Fakültesi Dergisi. 27, 649-653

Hata, A., Chen, Y.G., 2016. TGF-β signaling from receptors to Smads. Cold Spring Harb. Perspect. Biol. 8, a022061.

Hudcovicová, M., Šudyová, V., Šliková, S., Gregová, E., Kraic, J., Ordon, F., Mihálik, D., Horevaj, V., Šramková, Z., 2008. Marker-assisted selection for the development of improved barley and wheat lines. Acta Agron. Hung. 56, 385–392.

Itoh, S., ten Dijke, P., 2007. Negative regulation of TGF-β receptor/Smad signal transduction. Curr. Opin. Cell Biol. 19, 176–184.

Khasanah, H., Gunawan, A., Priyanto, R., Ulum, M.F., Jakaria, J., 2016. Polymorphism of Myostatin promoter gene and its association with growth traits in Bali cattle. Media Peternak. 39, 95–103.

Koenig, S., Simianer, H., 2008. Genomic selection-basics and perspectives for dairy cattle breeding programs. Anim. Genet. 39, 50–60.

Liang, W., Zhang, H.L., Liu, Y., Lu, B.C., Liu, X., Li, Q., Cao, Y., 2014. Investigation of H-FABP and PSMC1 genes with growth and carcass traits in Qinchuan cattle. Genet. Mol. Res. 13, 1876–1884.

Lirón, J.P., Prando, A.J., Fernández, M.E., Ripoli, M.V., Rogberg-Muñoz, A., Goszczynski, D.E., Posik, D.M., Peral-García, P., Baldo, A., Giovambattista, G., 2012. Association between GNRHR, LHR and IGF1 polymorphisms and timing of puberty in male Angus cattle. BMC Genet. 13, 1–6.

Liu, C.L., Guang-Xin, E., Ni, W.W., Wang, X., Cheng, S.-Z., Guo, Z.H., Yang, B.G., Duan, X.H., Huang, Y.F., 2023. Advances of MSTN genetic markers in domesticated animals. Indian J. Anim. Res. 57, 147–152.

Liu, Q.Y., He, Y.Q., Ge, Y., Chu, M.X., Jin, M., Zhang, Y.J., Wang, J.Y., Ma, X.K., Di, R., Huang, D.W., Li, N., 2017. Polymorphism of inhibin a gene and its relationship with litter size in goats. J. Anim. Plant Sci. 27, 1488–1495.

Madula, R., Visser, C., van Marle-Köster, E., 2024. The impact of Myostatin variants on growth traits in Bonsmara cattle. Trop. Anim. Health Prod. 56, 1–8.

Martínez-Castillero, M., López-Carbonell, D., Srihi, H., Hervás-Rivero, C., Altarriba, J., Martínez, P., Hermida, M., Varona, L., 2023. Genomic regions associated with reproductive longevity in Rubia Gallega cattle. Livest. Sci. 276, 105310.

Meuwissen, T.H.E., Hayes, B.J., Goddard, M.E., 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics. 157, 1819–1829.

Nietlisbach, P., Keller, L.F., Postma, E., 2016. Genetic variance components and heritability of multiallelic heterozygosity under inbreeding. Heredity. 116, 1–11.

Nijman, I.J., Otsen, M., Verkaar, E.L.C., De Ruijter, C., Hanekamp, E., Ochieng, J.W., Shamshad, S., Rege, J.E.O., Hanotte, O., Barwegen, M.W. Sulawati, T., 2003. Hybridization of banteng (Bos javanicus) and zebu (Bos indicus) revealed by mitochondrial DNA, satellite DNA, AFLP and microsatellites. Heredity. 90, 10-16.

Novianti, I., Nugraha, C.D., Putri, R.F., Furqon, A., Septian, W.A., Rahayu, S., Nurgiartiningsih, V.M.A., Suyadi, S., 2021. Single Nucleotide Polymorphisms (SNPs) Identification of Inhibin Sub Unit-α (INHA) gene on madura bulls. Ternak Tropika. 22, 77–81.

Oexle, K., Meitinger, T., 2011. Sampling GWAS subjects from risk populations. Genetic epidemiology. 35, 148–153.

Pantelić, V., Sretenović, L., Ostojić-Andrić, D., Trivunović, S., Petrović, M.M., Aleksić, S., Ružić-Muslić, D., 2011. Heritability and genetic correlation of production traits in Simmental cows. Afr. J. Biotechnol. 10, 7117–7121.

Perwitasari-Farajallah, D., Ummah, R.I., Nurjannah, R.A., Farajallah, A., 2019. Insulin-like growth factor 1 (IGF-1) gene polymorphisms in Madura karapan and beef cattle breed. Biodiv. J. Biological Diversity. 20, 1-11.

Prihandini, P.W., Maharani, D., Suparta, G., Sumadi, S., 2018. Estimates of heritability and breeding values for growth traits in Madura cattle. Asian J. Microbiol. Biotechnol. Environ. Sci. 20, 1040–1043.

Raidan, F.S.S., Porto-Neto, L.R., Li, Y., Lehnert, S.A., Reverter, A., 2018. Weighting genomic and genealogical info for genetic parameter estimation. J. Anim. Sci. 96, 612–617.

Rezende, F.M., 2013. Incorporation of genetic marker information in beef cattle breeding. Genet. Mol. Res. 12, 5172–5173.

Rogberg-Muñoz, A., Cantet, R.J.C., Fernández, M.E., Lirón, J.P., Prando, A., Birchmeier, A.N., Ripoli, M.V., Giovambattista, G., 2013. Effects of IGF1-SnaBI genotypes on growth curve of Angus bull calves. Livest. Sci. 154, 55–59.

Sang, L., Du, Q.Z., Yang, W.C., Tang, K.Q., Yu, J.N., Hua, G., Zhang, X.X., Yang, L.G., 2011. Polymorphisms in fertility-related genes and sperm quality. Anim. Reprod. Sci. 126, 151–156.

Sartori, R., Gregorevic, P., Sandri, M., 2014. TGFβ and BMP signaling in skeletal muscle: muscle-related disease. Trends Endocrinol. Metab. 25, 464–471.

Sivasamy, S., 2023. Sample size considerations in research. Endodontology. 35, 304–308.

Stinckens, A., Luyten, T., Bijttebier, J., Van Den Maagdenberg, K., Dieltiens, D., Janssens, S., De Smet, S., Georges, M., Buys, N., 2008. Characterization of the complete porcine MSTN gene. Anim. Genet. 39, 586–596.

Suchocki, T., Liu, Z., Żarnecki, A., Szyda, J., 2017. Interplay between genomic and pedigree data for milk yield prediction. Anim. Sci. Pap. Rep. 35, 193–198.

Sunde, H.F., Eftedal, N.H., Cheesman, R., Corfield, E.C., Kleppesto, T.H., Seierstad, A.C., Torvik, F.A., 2024. Genetic similarity between relatives. Nat. Commun. 15, 2641.

Thepa, T.L.P., Tyasi, T.L., 2024. A systematic review of MSTN variations in sheep. Adv. Anim. Vet. Sci. 12, 1199–1205.

Thomas, N., Anilkumar, K., 2008. Microsatellite markers associated with milk production traits in dairy cattle. Vet. World. 1, 245.

Tiezzi, F., Maltecca, C., 2015. Genomic predictions using a weighted realized relationship matrix. Genet. Sel. Evol. 47, 1.

VanRaden, P.M., 2008. Efficient methods to compute genomic predictions. J. Dairy Sci. 91, 4414–4423.

Widyas, N., Prastowo, S., Widi, T.S.M., Baliarti, E., 2018. Predicting Madura cattle growth curve using non-linear model. IOP Conf. Ser. Earth Environ. Sci. 142, 012006.

Zepeda-Batista, J.L., Núñez-Domínguez, R., Ramírez-Valverde, R., Jahuey-Martínez, F.J., Herrera-Ojeda, J.B., Parra-Bracamonte, G.M., 2021. Genomic variations associated with growth traits by GWAS in Braunvieh cattle. Genes. 12, 1166.