Candidacy of genes associated with economic traits for Madura cattle in Sonok area

Nugroho, T; Maharani, Dyah; Widi, Tri Satya Mastuti

doi:10.1088/1755-1315/1001/1/012018

Cited by 2 publications

(8 citation statements)

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“…A set of genes potentially responsible for economic traits of Madura Cattle used in this study were taken from the previous study [4]. Gene symbol and gene ID were retrieved from National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/gene/), including IGF1 (109559448), GH1 (280804), GHR (280805), MSTN (281187), and LEP (280836).…”

Section: Methodsmentioning

confidence: 99%

“…Our previous study found five candidates' genes which potentially associated to four economic traits for Madura Cattle, including Insulin-like Growth Factor-1 (IGF1), Growth Hormone (GH1), Growth Hormone Receptor (GHR), Myostatin (MSTN), and Leptin (LEP). Economic traits used in the study include body conformation to determine the growth, carcass, reproduction and milk [4]. This shows that [5].…”

Section: Introductionmentioning

confidence: 99%

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Protein-to-protein interaction of genes responsible for the economic trait of Madura Cattle: an in silico analysis

Nugroho

Prastowo

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Our previous study found five genes consist of Insulin-like growth factor-1 (IGF-1), Growth hormone (GH1), Growth hormone receptor (GHR), Myostatin (MSTN), and Leptin (LEP) are responsible for the economic traits of Madura Cattle. This paper aimed to identify the protein-to-protein interaction of genes responsible for the economic traits of Madura Cattle. In silico study was done using STRING v.11.5 with Bos taurus IGF1, GH1, GHR, MSTN, and LEP as input analysis. Results show 24 biological processes, 3 molecular functions, and 6 KEGG pathways as potential protein interactions between genes. All genes are involved in six biological processes i.e. response to the hormone, response to oxygen-containing compound, cell surface receptor signalling pathway, regulation of signal transduction, positive regulation of the cellular metabolic process, and positive regulation of the macromolecule metabolic process. Five genes were predicted as functional partner genes, namely Leptin receptor (LEPR), Tyrosine-protein kinase receptor (INSR), Activin receptor type-2b precursor (ACVR2B), Insulin-like growth factor 1 receptor (IGF1R), and Insulin-like growth factor-binding protein 3 (IGFBP3). Based on the results, we can demonstrate the protein-to-protein interaction of IGF-1, GH, GHR, MSTN, and LEP genes which are potentially related to each other. Further experimental study is required to validate the interaction.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Protein-to-protein interaction of genes responsible for the economic trait of Madura Cattle: an in silico analysis

Nugroho

Prastowo

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…The promoter region of the IGF-I gene contains several single nucleotide polymorphisms (SNPs), which regulate transcriptional activity and association with growth performance [ 7 ]. Studies have shown that several IGF-I -SNPs were associated with growth performance, carcass traits, and milk yield in dairy cattle [ 18 – 20 ]. Cattle with specific IGF-I -SNPs have superior growth performance and higher milk yield [ 9 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, a variant of the GH gene called the A allele is associated with higher milk production in Holstein cows [ 28 ]. Several investigations reported that specific GH -SNPs have increased feed efficiency and growth rates [ 20 , 29 ]. In cattle, a SNP in the GH gene was associated with a carcass weight increase of 4 kg and a 2.3% increase in feed efficiency.…”

Section: Introductionmentioning

confidence: 99%

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IGF-I and GH Genes polymorphism and their association with milk yields, composition and reproductive performance in Holstein–Friesian dairy cattle

Saleh,

Hassan,

EL-Hedainy

et al. 2024

BMC Vet Res

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Background The insulin-like growth factor (IGF-I) and growth hormone (GH) genes have been identified as major regulators of milk yield and composition, and reproductive performance in cattle. Genetic variations/polymorphism in these genes have been found to influence milk production, yield and quality. This investigation aimed to explore the association between IGF-I and GH polymorphisms and milk yield and composition, and reproductive performance in a herd consisting of 1000 Holstein–Friesian (HF) dairy cattle from El-Alamia farm. The experimental animals were 76 ± 7.25 months in age, with an average live weight of 750 ± 50.49 kg, and raised under the same conditions of feeding and weather. The studied animals were divided into three categories; high producers (n = 280), medium producers (n = 318) and low producers (n = 402). Results The digestion of 249 bp for IGF-I-SnaBI using the Restriction-fragment-length-polymorphism (RFLP) technique yielded two alleles; T (0.59) and C (0.41) and three genotypes; TT (0.52), TC (0.39) and CC (0.09) and this agrees with the results of DNA/gene sequencing technique. The sequencing analysis of the IGF-I gene revealed polymorphism in position 472 (C > T). Nucleotide sequencing of the amplified fragment of the IGF-I gene of different genotypes was done and submitted to the NCBI GenBank with Accession no. MH156812.1 and MH156811.1. While the digestion of 432 bp for GH-AluI using the RFLP technique yielded two alleles; A (0.81) and G (0.19) and two genotypes; AA (0.77) and AG (0.23) and this agrees with the results of DNA/gene sequencing technique. The sequencing analysis of the GH gene revealed polymorphism in the position 1758 C > G and in turn led to changes in amino acid sequence as Alanine for (A) compared to Glycine for (G). Nucleotide sequencing of the amplified fragment of the GH gene was done and submitted to the NCBI GenBank with Accession no. MH156810.1. The results of this study demonstrate the effects of variants of the GH-IGF-I somatotrophic axis on milk production and composition traits in commercial HF cattle. The greatest values of milk yield and reproductive performance were observed on IGF-I-SnaBI-TC and GH-AluI-AG genotypes. While the greatest % fat and % protein values were observed on IGF-I-SnaBI-CC and GH-AluI-AA genotyped individuals. Conclusion The genetic variation of the studied genes can be utilized in selecting animals with superior milk yield, composition and reproductive performance in Holstein–Friesian Dairy Cattle under subtropical conditions.

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Candidacy of genes associated with economic traits for Madura cattle in Sonok area

Cited by 2 publications

References 50 publications

Protein-to-protein interaction of genes responsible for the economic trait of Madura Cattle: an in silico analysis

Protein-to-protein interaction of genes responsible for the economic trait of Madura Cattle: an in silico analysis

IGF-I and GH Genes polymorphism and their association with milk yields, composition and reproductive performance in Holstein–Friesian dairy cattle

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