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Effects of FASN gene polymorphism on milk production traits in Bangladeshi cattle: Insights from mutant protein function | ||
| Iranian Journal of Veterinary Research | ||
| دوره 26، شماره 1 - شماره پیاپی 90، 2025، صفحه 68-77 اصل مقاله (1.53 M) | ||
| نوع مقاله: Full paper (Original article) | ||
| شناسه دیجیتال (DOI): 10.22099/ijvr.2025.49855.7351 | ||
| نویسندگان | ||
| M. A. Alim* 1؛ M. M. K. Hossain1؛ N. Jahan1، 2؛ R. Rubaya3؛ A. A. Bhuyan1؛ J. Alam1؛ I. Ahammad4؛ M. S. R. Siddiki5؛ M. Moniruzzaman6 | ||
| 1Animal Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh | ||
| 2Department of Animal Nutrition, Genetics and Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka 1207, Bangladesh | ||
| 3Ph.D. in Animal Genetics, Animal Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh | ||
| 4Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh | ||
| 5Department of Dairy Science, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh | ||
| 6Molecular Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh | ||
| چکیده | ||
| Background: To meet up the demand gap of milk in Bangladesh, short-term, midterm, and long-term goal have been set up by the government through crossing with Bangladeshi local cattle and high-producing foreign cattle like Friesian, Jersey, Sahiwal, etc. Aims: The purpose of this study was to identify the single nucleotide polymorphisms (SNPs) in the FASN gene, to check the structural and functional impact of mutant proteins on milk production traits that are significantly associated. Methods: Four SNPs were identified in exons 26, 36, 38, and 41 of the FASN gene using pooled DNA sequencing, but only one SNP g.17924 A>G was a non-synonymous that changed the amino acid threonine to alanine in the FASN protein and the other three SNPs were silent mutations. Structural and functional prediction analysis were done with a series of techniques to detect remote protein homology and predict structures, structural integrity, structure quality, protein stability, protein motion, flexibility, and stability impact, conservation profile and finally molecular dynamics simulations for wild-type and mutant protein expression differences. Results: The non-synonymous g.17924 A>G mutation showed a clear difference between wild and mutant proteins, indicating the impact on the observed phenotype. Then, SNP g.17924 A>G was genotyped in 100 milking cows aiming to check the association effects. SNP g.17924 A>G was found to have significant allele substitution effects on milk yield traits. Conclusion: Our results suggest that the identified polymorphism affects milk yield traits in the studied population and could be used as genetic marker for cattle selection processes aiming to increase productivity. | ||
| کلیدواژهها | ||
| Association؛ Bangladeshi cattle؛ Candidate gene؛ FASN؛ Single nucleotide polymorphism | ||
| مراجع | ||
|
Abe, T; Saburi, J; Hasebe, H; Nakagawa, T; Misumi, S; Nade, T; Nakajima, H; Shoji, N; Kobayashi, M and Kobayashi, E (2009). Novel mutations of the FASN gene and their effect on fatty acid composition in Japanese Black beef. Biochem. Gen., 47: 397-411.
Abraham, MJ; Murtola, T; Schulz, R; Pall, SR; Smith, JC; Hess, B and Lindahl, E (2015). GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX. 1: 19-25.
Alim, MA; Wang, P; Wu, XP; Li, C; Cui, XG; Zhang, SL; Zhang, Q; Zhang, Y and Sun, DX (2013). Effect of FASN gene on milk yield and milk composition in the Chinese Holstein dairy population. Anim. Gen., 45: 111-113.
Apweiler, R; Attwood, TK; Bairoch, A; Bateman, A; Birney, E; Biswas, M; Bucher, P; Cerutti, L; Corpet, F and Croning, MDR (2001). The interPro database, an integrated documentation resource for protein families, domains and functional sites. Nucl. Aci. Res., 29: 37-40.
Ashkenazy, H; Abadi, S; Martz, E; Chay, O; Mayrose, I; Pupko, T and Ben-Tal, N (2016). ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucl. Aci. Res., 44: W344-W350.
Bhuiyan, MSA; Yu, SL; Jeon, JT; Yoon, D; Cho, YM; Park, EW; Kim, NK; Kim, KS and Lee, JH (2009). DNA polymorphisms in SREBF1 and FASN genes affect fatty acid composition in Korean cattle (Hanwoo). Asi-Aus. J. Anim. Sci., 22: 765-773.
Chakravarty, B; Gu, Z; Chirala, SS; Wakil, SJ and Quiocho, FA (2004). Human fatty acid synthase: structure and substrate selectivity of the thioesterase domain. Proc. Nat. Aca. Sci., 101: 15567-15572.
Chilliard, Y; Ferlay, A; Rouel, J and Lamberet, G (2003). A review of nutritional and physiological factors affecting goat milk lipid synthesis and lipolysis. J. Dairy Sci., 86: 1751-1770.
Conte, G; Mele, M; Chessa, S; Castiglioni, B; Serra, A; Pagnacco, G and Secchiari, P (2010). Diacylglycerol acyltransferase 1, stearoyl-CoA desaturase 1, and sterol regulatory element binding protein 1 gene polymorphisms and milk fatty acid composition in Italian Brown cattle. J. Dairy Sci., 93: 753-763.
DLS and Director, G (2021). https://www.dls.gov.bd/site/ page/22b1143b-9323-44f8-bfd8-647087828c9b/Livestock-Economy. PP: 1-5.
Falconer, DS and Mackay, TFC (1996). Introduction to quantitative genetics. 4th Edn., New York, Longman Scientific and Technical. PP: 24-47.
Gibson, DM; Titchener, EB and Wakil, SJ (1958). Studies on the mechanism of fatty acid synthesis V. Bicarbonate requirement for the synthesis of long-chain fatty acids. Biochim. Biophy. Act., 30: 376-383.
Hamid, M; Rahman, A; Zaman, MA and Hossain, KM (2017). Cattle genetic resources and their conservation in Bangladesh. Asian J. Anim. Sci., 11: 54-64.
Hossain, KB; Takayanagi, S; Miyake, T; Moriya, K; Bhuiyan, A and Sasaki, Y (2002). Statistical genetic studies on cattle breeding for dairy productivity in Bangladesh: I. Genetic improvement for milk performance of local cattle populations. Asi-Aus. J. Anim. Sci., 15: 627-632.
Inoue, K; Shoji, N and Kobayashi, M (2008). Genetic relations among fat melting point, fatty acid composition and carcass traits in Japanese Black cattle. Anim. Sci. J. (Japan), 79: 1-8.
Kale, DS; Singh, J; Sathe, YB and Patil, DV (2021). FASN gene and its role in bovine milk production. Int. J. Biotech. Trends Technol., 11: 20-25.
Li, C; Aldai, N; Vinsky, M; Dugan, MER and McAllister, TA (2011). Association analyses of single nucleotide polymorphisms in bovine stearoyl-CoA desaturase and fatty acid synthase genes with fatty acid composition in commercial crossbred beef steers. Anim. Gen., 43: 93-97.
Li, C; Sun, D; Zhang, S; Yang, S; Alim, MA; Zhang, Q; Li, Y and Liu, L (2016). Genetic effects of FASN, PPARGC1A, ABCG2 and IGF1 revealing the association with milk fatty acids in a Chinese Holstein cattle population based on a post genome-wide association study. BMC Genet., 17: 1-16.
Lynch, M and Walsh, B (1997). Genetics and analysis of quantitative traits. 1st Edn., Sunderland, MA, USA, Sinauer Associates, Inc., PP: 35-48.
Maharani, D; Jung, Y; Jung, WY; Jo, C; Ryoo, SH; Lee, SH; Yeon, SH and Lee, JH (2012). Association of five candidate genes with fatty acid composition in Korean cattle. Mol. Bio. Rep., 1: 1-9.
Mannen, H (2011). Identification and utilization of genes associated with beef qualities. Anim. Sci. J., 82: 1-7.
Matsumoto, H; Inada, S; Kobayashi, E; Abe, T; Hasebe, H; Sasazaki, S; Oyama, K and Mannen, H (2012). Identification of SNPs in the FASN gene and their effect on fatty acid milk composition in Holstein cattle. Liv. Sci., 144: 281-284.
Mauriae, M; Masek, T; Beniae, M; Spehar, M and Stareeviae, K (2017). Effect of DGAT1, FASN and PRL genes on milk production and milk composition traits in Simmental and crossbred Holstein cattle. Ind. J. Anim. Sci., 87: 859-863. Mauric, M; Masek, T; Ljoljic, DB; Grbavac, J and Starcevic, K (2019). Effects of different variants of the FASN gene on production performance and milk fatty acid composition in Holstein Simmental dairy cows. Vet. Med., 64: 101-108.
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.
Morris, CA; Cullen, NG; Glass, BC; Hyndman, DL; Manley, TR; Hickey, SM; McEwan, JC; Pitchford, WS; Bottema, CDK and Lee, MAH (2007). Fatty acid synthase effects on bovine adipose fat and milk fat. Mamm. Geno., 18: 64-74.
NLDP and Director, G (2007). National livestock development policy, Ministry of Fisheries and Livestock, Government of the People’s Republic of Bangladesh. PP: 1-115.
Ordovas, L; Roy, R; Pampin, S; Zaragoza, P; Osta, R; Rodriguez-Rey, JC and Rodellar, C (2008). The g.763 G>C SNP of the bovine FASN gene affects its promoter activity via Sp-mediated regulation: implications for the bovine lactating mammary gland. Physio. Geno., 34: 144-148.
Pereira, PC (2014). Milk nutritional composition and its role in human health. Nutrition. 30: 619-627.
Przybylska, P and Kuczaj, M (2024). The effects of two selected single nucleotide polymorphisms of the fatty acid synthase gene on the fat content and fatty acid profile of cow’s milk from the Polish Holstein Friesian Red-and-White breed versus two Polish Red-and-White and Polish Red conservation breeds kept in Poland. Animals. 14: 2268-2275.
Rodrigues, CHM; Pires, DEV and Ascher, DB (2021). DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations. Prot. Sci., 30: 60-69.
Roy, R; Ordovas, L; Zaragoza, P; Romero, A; Moreno, C; Altarriba, J and Rodellar, C (2006). Association of polymorphisms in the bovine FASN gene with milk-fat content. Anim. Gen., 37: 215-218.
Rozario, LT; Sharker, T and Nila, TA (2021). In silico analysis of deleterious SNPs of human MTUS1 gene and their impacts on subsequent protein structure and function. PloS One. 16: e0252932-e0252945.
Schennink, A; Bovenhuis, H; LeonKloosterziel, KM; Van Arendonk, J.A.M and Visker, MHPW (2009). Effect of polymorphisms in the FASN, OLR1, PPARGC1A, PRL and STAT5A genes on bovine milk fat composition. Anim. Gen., 40: 909-916.
Stoop, WM; Schennink, A; Visker, M; Mullaart, E; Van Arendonk, JAM and Bovenhuis, H (2009). Genome-wide scan for bovine milk-fat composition. I. Quantitative trait loci for short- and medium-chain fatty acids. J. Dairy Sci., 92: 4664-4675.
Wickramasinghe, S; Rincon, G; Islas-Trejo, A and Medrano, JF (2012). Transcriptional profiling of bovine milk using RNA sequencing. BMC Geno., 13: 1-14.
Yudin, NS and Voevoda, MI (2015). Molecular genetic markers of economically important traits in dairy cattle. Rus. J. Gen., 51: 506-517.
Zhang, S; Knight, TJ; Reecy, JM and Beitz, DC (2008). DNA polymorphisms in bovine fatty acid synthase are associated with beef fatty acid composition. Anim. Gen., 39: 62-70. | ||
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