Genetic variability of IGF1 and IGF2 and correlation to body weight in Kedu chicken of Indonesia

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Vol. 25 No. 12 (2024)
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ROSIDI ♥
Faculty of Animal Science, Universitas Jenderal Soedirman. Jl. Dr. Soeparno No. 60, Banyumas 53122, Central Java, Indonesia
IMAM SUSWOYO
Faculty of Animal Science, Universitas Jenderal Soedirman. Jl. Dr. Soeparno No. 60, Banyumas 53122, Central Java, Indonesia
SIGIT MUGIYONO
Faculty of Animal Science, Universitas Jenderal Soedirman. Jl. Dr. Soeparno No. 60, Banyumas 53122, Central Java, Indonesia
ISMOYOWATI
Faculty of Animal Science, Universitas Jenderal Soedirman. Jl. Dr. Soeparno No. 60, Banyumas 53122, Central Java, Indonesia
ELLY TUGIYANTI
Faculty of Animal Science, Universitas Jenderal Soedirman. Jl. Dr. Soeparno No. 60, Banyumas 53122, Central Java, Indonesia

Abstract

Abstract. Rosidi, Suswoyo I, Mugiyono S, Ismoyowati, Tugiyanti E. 2024. Genetic variability of IGF1 and IGF2 and correlation to body weight in Kedu chicken of Indonesia. Biodiversitas 25: 4846-4852. This study aims to examine differences in genetic variability using Insulin Growth Factors (IGF) to estimate the body weight of selected Kedu chickens. A total sample 37 chickens consist of 10 White Kedu, 10 Cemani Kedu, 10 Red Kedu, 5 Black Tongue Kedu, 1 Blorok Kedu, and 1 Lurik Walik Kedu. Next, their blood is taken from the chicken samples and analyzed in the laboratory. The identification of the IGF-1 and IGF-2 genes polymorphism was done by PCR and sequencing methods. The results showed two Single Nucleotide Polymorphism (SNP) of IGF1: c.166 T>A and c.169 A>G and IGF2: c.248 G>A and c.540 C>T. The frequency of genotypes was informed on GG, GA and AA with values of 0.71, 0.1 and 0.19, respectively. The base pair of 540 showed the existence of genotypes CC, CT and TT with values of 0.28, 0.62, and 0.1 respectively. The value of heterozygosity obtained at each base pair was c. 248 and the heterozygosity value was 0.3648, while the heterozygosity value of c. 540 was 0.4838. The correlation analysis showed that at c. 248 had a value of 0.57, which was relatively greater than that at c. 540, namely 0.15. The c. 248 genotypes of AA had greater body weight than the rest. In conclusion, AA genotypes in the IGF-1 and IGF-2 genes had a relatively high body weight compared to that of other genotypes, but IGF-1 had a relatively low association (correlation), so incompatible as a marker for future selection. An IGF marker can be used to estimate the body weight of the upcoming offspring of Kedu chickens.

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References
Abebe AS, Mikko S, Johansson AM. 2015. Genetic diversity of five local Swedish chicken breeds detected by microsatellite markers. PLoS One 10 (4): e0120580. DOI: 10.1371/journal.pone.0120580.
Abinawanto A, Sophian A, Lestari R, Bowolaksono A, Efendi PS, Afnan R. 2019. Analysis of IGF-1 gene in ayam ketawa (Gallus gallus domesticus) with dangdut and slow type vocal characteristics. Biodiversitas 20 (7): 2004-2010. DOI: 10.13057/biodiv/d200729.
Abubakar, Suprijatna E, Sutopo. 2014. Genotype distribution of local chicken crosbred in poultry breeding centre Temanggung Central Java. Intl Ref J Eng Sci 3 (3): 1-14.
Bailes J, Soloviev M. 2021. Insulin-Like Growth Factor-1 (IGF-1) and its monitoring in medical diagnostic and in sports. Biomolecules 11 (2): 217. DOI: 10.3390/biom11020217.
Hidayat C, Asmarasari SA. 2015. Native chicken production in Indonesia: A review. J Peternakan Indonesia 17 (1): 1-11. DOI: 10.25077/jpi.17.1.1-11.2015.
Hosnedlova B, Vernerova K, Kizek R, Bozzi R, Kadlec J, Curn V, Kouba F, Fernandez C, Machander V, Horna H. 2020. Associations between IGF1, IGFBP2 and TGFß3 genes polymorphisms and growth performance of Broiler chicken lines. Animals 10 (5): 800. DOI: 10.3390/ani10050800.
Karsli T, Balc?o?lu MS. 2019. Genetic characterization and population structure of six brown layer pure lines using microsatellite markers. Asian-Australas J Anim Sci 32 (1): 49-57. DOI: 10.5713/ajas.17.0870.
Loog L, Thomas MG, Barnett R, Allen R, Sykes N, Paxinos PD, Lebrasseur O, Dobney K, Peters J, Manica A, Larson G, Eriksson A. 2017. Inferring allele frequency trajectories from ancient DNA indicates that selection on a chicken gene coincided with changes in Medieval husbandry practices. Mol Biol Evol 34 (8): 1981-1990. DOI: 10.1093/molbev/msx142.
Ma M, Shen M, Qu L, Dou T, Guo J, Hu Y, Lu J, Li Y, Wang X, Wang K. 2019. Genome-wide association study for carcase traits in spent hens at 72 weeks old. Ital J Anim Sci 18 (1): 261-266. DOI: 10.1080/1828051X.2018.1507626.
Mu’in MA, Lumatauw S. 2019. Potency of papua local chickens as egg producers: A molecular review. IOP Conf Ser: Earth Environ Sci 247: 012032. DOI: 10.1088/1755-1315/247/1/012032.
Mustofa F, Fathoni A, Sari APZNL, Sasongko H, Maharani D. 2016. Body weight and body size measurement of five Indonesian local chicken. IOP Conf Ser: Earth Environ Sci 788: 012016. DOI: 10.1088/1755-1315/788/1/012016.
Nei M. 1987. Molecular Evolutionary Genetics. Columbia University Press, New York.
Nxumalo N, Ceccobelli S, Cardinali I, Lancioni H, Lasagna E, Kunene NW. 2020. Genetic diversity, population structure and ancestral origin of KwaZulu-Natal native chicken ecotypes using microsatellite and mitochondrial DNA markers. Ital J Anim Sci 19 (1): 1277-1290. DOI: 10.1080/1828051X.2020.1838350.
Obilor EI, Amadi EC. 2018. Test for significance of Pearson’s Correlation Coefficient (r). Intl J Innov Math Stat Energy Policies 6 (1): 11-23.
Purwantini D, Yuwanta T, Hartatik T, Ismoyowati. 2013. Morphology and genetic diversity of mitochondrial DNA D-loop region using PCR-RFLP analysis in Magelang duck and other native duck. J Indonesian Trop Anim Agric 38 (1): 1-9. DOI: 10.14710/jitaa.38.1.1-9.
Sambrook J, Fritsch EF, Maniatis T. 1989. Molecular Cloning: A Laboratory Manual. Eds 2. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York.
Sinpru P, Bunnom R, Poompramun C, Kaewsatuan P, Sornsan S, Kubota S, Molee W, Molee A. 2021. Association of growth hormone and insulin-like growth factor I genotype with body weight, dominance of body weight, and mRNA expression in Korat slow-growing chickens. Anim Biosci 34 (12): 1886-1894. DOI: 10.5713/ab.20.0729.
Strillacci MG, Cozzi MC, Gorla E, Mosca F, Schiavini F, Román-Ponce SI, Ruiz López FJ, Schiavone A, Marzoni M, Cerolini S, Bagnato A. 2017. Genomic and genetic variability of six chicken populations using single nucleotide polymorphism and copy number variants as markers. Animal 11 (5): 737-745. DOI: 10.1017/S1751731116002135.
Syafwan S, Noferdiman. 2020. Requirements of energy and protein for Arabic chicken during early egg production. Trop Anim Sci J 43 (4): 339-346. DOI: 10.5398/tasj.2020.43.4.339.
Thu HDT, Binh NTT, Duc LD, Huu DB, Nhung DT, Xuan CN, Viet LN, Thai AN, Quang ML, Pham DK, Hoang TN. 2020. Indigenous Lien Minh chicken of Vietnam: Phenotypic characteristics and single nucleotide polymorphisms of GH, IGFBP and PIT candidate genes related to growth traits. Biodiversitas 21 (11): 5344-5352. DOI: 10.13057/biodiv/d211140.
Ulfah M, Perwitasari D, Jakaria, Muladno, Farajallah A. 2015. Breed determination for Indonesian local chickens based on matrilineal evolution analysis. Intl J Poult Sci 14 (11): 615-621. DOI: 10.3923/ijps.2015.615.621.
Vaccaro LA, Porter TE, Ellestad LE. 2022. The effect of commercial genetic selection on somatotropic gene expression in broilers: A potential role for Insulin-Like Growth factor binding proteins in regulating broiler growth and body composition. Front Physiol
: 935311. DOI: 10.3389/fphys.2022.935311.
Wang K, Hu H, Tian Y et al. 2021. The chicken pan-Genome reveals gene content variation and a promoter region deletion in IGF2BP1 affecting body size. Mol Biol Evol 38 (11): 5066-5081. DOI: 10.1093/molbev/msab231.
Wang Y, Bu L, Cao X, Qu H, Zhang C, Ren J, Huang Z, Zhao Y, Luo C, Hu X, Shu D, Li N. 2020a. Genetic dissection of growth traits in a unique chicken advanced intercross line. Front Genet 11: 894. DOI: 10.3389/fgene.2020.00894.
Wang Y, Cao X, Luo C, Sheng Z, Zhang C, Bian C, Feng C, Li J, Gao F, Zhao Y, Jiang Z, Qu H, Shu D, Carlborg Ö, Hu X, Li N. 2020b. Multiple ancestral haplotypes harboring regulatory mutations cumulatively contribute to a QTL affecting chicken growth traits. Commun Biol 3 (1): 472. DOI: 10.1038/s42003-020-01199-3.
Yan W, Li J, Zheng D, Friedman C, Wang H. 2019. Analysis of genetic population structure and diversity in Mallotus oblongifolius using ISSR and SRAP markers. PeerJ 7: e7173. DOI: 10.7717/peerj.7173.
Zhang Y, Wang Y, Li Y, Wu J, Wang X, Bian C, Tian Y, Sun G, Han R, Liu X, Jiang R, Wang Y, Li G, Li W, Hu X, Kang X. 2022. Genome-wide association study reveals the genetic determinism of growth traits in a Gushi-Anka F2 chicken population. Heredity 126 (2): 293-307. DOI: 10.1038/s41437-020-00365-x.
Zhou Z, Li M, Cheng H et al. 2018. An intercross population study reveals genes associated with body size and plumage color in ducks. Nat Commun 9: 2648. DOI: 10.1038/s41467-018-04868-4.
Zhu F, Cui Q-Q, Hou Z-C. 2016. SNP discovery and genotyping using genotyping-by-sequencing in Pekin ducks. Sci Rep 6: 36223. DOI: 10.1038/srep36223.
Zimmerman SJ, Aldridge CL, Oyler-McCance SJ. 2020. An empirical comparison of population genetic analyses using microsatellite and SNP data for a species of conservation concern. BMC Genom 21 (1): 382. DOI: 10.1186/s12864-020-06783-9.