Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes
Background and Aim: Coat color variations in cattle are known to be influenced by the melanocortin 1 receptor (MC1R) and receptor tyrosine kinase (KIT) genes. The presence of coat color abnormalities, such as white spots and albinism, in Bali cattle was the focus of this study. This study aimed to i...
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Veterinary World
2023-06-01
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Series: | Veterinary World |
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Online Access: | https://www.veterinaryworld.org/Vol.16/June-2023/18.pdf |
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author | Jakaria Jakaria Kholijah Kholijah Sri Darwati Qonita Rahman Winni Liani Daulay Ikhsan Suhendro I. Made Londra Mokhamad Fakhrul Ulum Ronny Rachman Noor |
author_facet | Jakaria Jakaria Kholijah Kholijah Sri Darwati Qonita Rahman Winni Liani Daulay Ikhsan Suhendro I. Made Londra Mokhamad Fakhrul Ulum Ronny Rachman Noor |
author_sort | Jakaria Jakaria |
collection | DOAJ |
description | Background and Aim: Coat color variations in cattle are known to be influenced by the melanocortin 1 receptor (MC1R) and receptor tyrosine kinase (KIT) genes. The presence of coat color abnormalities, such as white spots and albinism, in Bali cattle was the focus of this study. This study aimed to identify single nucleotide polymorphisms (SNPs) in the coding region of MC1R and exons 2 and 3 of KIT associated with coat color abnormalities in Bali cattle.
Materials and Methods: The study included the analysis of 48 Bali cattle, including 20 individuals with standard coat color, 15 with white spots, and 13 with albinism. Total DNA was extracted using a DNA Extraction Kit, and MC1R (coding region) and KIT (exons 2 and 3) gene amplifications were analyzed using forward and reverse primers with polymerase chain reaction product lengths of 1071, 234, and 448 bp, respectively. The determination of MC1R and KIT gene diversity was analyzed through direct sequencing. Melanocortin 1 receptor and KIT gene sequence data were analyzed using BioEdit and MEGA6 to identify SNPs associated with standard and abnormal coat color phenotypes (white-spotted and albino) in Bali cattle.
Results: No SNPs associated with coat color abnormalities were found in the coding region of MC1R and exons 2 and 3 of KIT genes in Bali cattle. However, the intron two regions of KIT contained the SNP g.70208534A>G, which showed a high degree of diversity. The AA genotype frequency was highest in albino Bali cattle, whereas the G allele frequency was highest and the A allele frequency was lowest in white-spotted Bali cattle.
Conclusion: The results indicated that standard, white-spotted, and albino coat colors in Bali cattle could not be distinguished by analyzing the MC1R and KIT genes. |
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spelling | doaj.art-0113e48f9c014f9ca4222e02b1c9dc6e2023-07-06T08:55:26ZengVeterinary WorldVeterinary World0972-89882231-09162023-06-011661312131810.14202/vetworld.2023.1312-1318Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genesJakaria Jakaria0https://orcid.org/0000-0001-7921-8528Kholijah Kholijah1https://orcid.org/0009-0001-0700-6750Sri Darwati2https://orcid.org/0000-0002-4882-3722Qonita Rahman3https://orcid.org/0009-0007-6470-3062Winni Liani Daulay4https://orcid.org/0000-0001-8632-031XIkhsan Suhendro5https://orcid.org/0000-0002-7339-5707I. Made Londra6https://orcid.org/0009-0001-4317-8402Mokhamad Fakhrul Ulum7https://orcid.org/0000-0003-2092-9645Ronny Rachman Noor8https://orcid.org/0000-0001-8795-2992Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Agricultural Technology Study Center (BPTP), JL. By Pass Ngurah Rai, Pesanggaran, Denpasar Selatan 80222, Bali, Indonesia.Division of Reproduction and Obstetrics, School of Veterinary Medicine and Biomedical Sciences, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia.Background and Aim: Coat color variations in cattle are known to be influenced by the melanocortin 1 receptor (MC1R) and receptor tyrosine kinase (KIT) genes. The presence of coat color abnormalities, such as white spots and albinism, in Bali cattle was the focus of this study. This study aimed to identify single nucleotide polymorphisms (SNPs) in the coding region of MC1R and exons 2 and 3 of KIT associated with coat color abnormalities in Bali cattle. Materials and Methods: The study included the analysis of 48 Bali cattle, including 20 individuals with standard coat color, 15 with white spots, and 13 with albinism. Total DNA was extracted using a DNA Extraction Kit, and MC1R (coding region) and KIT (exons 2 and 3) gene amplifications were analyzed using forward and reverse primers with polymerase chain reaction product lengths of 1071, 234, and 448 bp, respectively. The determination of MC1R and KIT gene diversity was analyzed through direct sequencing. Melanocortin 1 receptor and KIT gene sequence data were analyzed using BioEdit and MEGA6 to identify SNPs associated with standard and abnormal coat color phenotypes (white-spotted and albino) in Bali cattle. Results: No SNPs associated with coat color abnormalities were found in the coding region of MC1R and exons 2 and 3 of KIT genes in Bali cattle. However, the intron two regions of KIT contained the SNP g.70208534A>G, which showed a high degree of diversity. The AA genotype frequency was highest in albino Bali cattle, whereas the G allele frequency was highest and the A allele frequency was lowest in white-spotted Bali cattle. Conclusion: The results indicated that standard, white-spotted, and albino coat colors in Bali cattle could not be distinguished by analyzing the MC1R and KIT genes.https://www.veterinaryworld.org/Vol.16/June-2023/18.pdfbali cattlecoat colorkit genemelanocortin 1 receptor genesingle-nucleotide polymorphism |
spellingShingle | Jakaria Jakaria Kholijah Kholijah Sri Darwati Qonita Rahman Winni Liani Daulay Ikhsan Suhendro I. Made Londra Mokhamad Fakhrul Ulum Ronny Rachman Noor Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes Veterinary World bali cattle coat color kit gene melanocortin 1 receptor gene single-nucleotide polymorphism |
title | Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes |
title_full | Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes |
title_fullStr | Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes |
title_full_unstemmed | Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes |
title_short | Lack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes |
title_sort | lack of association between coat color abnormalities in bali cattle bos javanicus and the coding regions of the mc1r and kit genes |
topic | bali cattle coat color kit gene melanocortin 1 receptor gene single-nucleotide polymorphism |
url | https://www.veterinaryworld.org/Vol.16/June-2023/18.pdf |
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