Veterinary World (Aug 2024)

Runs of homozygosity analysis and genomic inbreeding estimation in Sumba Ongole cattle (Bos indicus) using a BovineSNP50K BeadChip

  • Widya Pintaka Bayu Putra,
  • Hartati Hartati,
  • Redi Aditama,
  • Eko Handiwirawan,
  • Endang Tri Margawati,
  • Simon Elieser

DOI
https://doi.org/10.14202/vetworld.2024.1914-1919
Journal volume & issue
Vol. 17, no. 8
pp. 1914 – 1919

Abstract

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Background and Aim: Runs of homozygosity (ROH) is a biocomputational technique for identifying homozygous regions in the genomics of livestock. This study aimed to determine the ROH in Sumba Ongole (SO) bulls (n = 48) using the BovineSNP50K BeadChip. Materials and Methods: GenomeStudio 2.0 software was used to generate the BovineSNP50K BeadChip output. The ROH and ROH-based inbreeding coefficients (FROH) were determined using the detect RUNS R v4.1.0 package. Using the following filtering criteria, PLINK v1.90 software was used to perform genotype quality control: (1) Individuals and single-nucleotide polymorphism (SNPs) had call rates >0.95; (2) more than 0.05 was the minor allele frequency; (3) the list contained only SNPs linked to autosomes; and (4) SNPs that strongly deviated (p < 1e-6) from Hardy–Weinberg equilibrium were removed. Subsequently, 25,252 autosomal SNP markers were included in the ROH and FROH analyses. Results: In general, the number and length of ROH segments in pool animals were 149.77 ± 16.02 Mb and 486.13 ± 156.11 Mb, respectively. Furthermore, the ROH segments in the animals under study can be discriminated into two classes of 1–4 Mb (83.33%) and 4–8 Mb (16.67%). Subsequently, Bos taurus autosomes (BTA) 1, BTA6, and BTA14 had significant homozygous segments comprising 13 genes. Despite this, the average FROH in pool animals was 0.20 ± 0.06. Conclusion: These findings indicate that a recent inbreeding event in SO cattle occurred many generations ago. Furthermore, the candidate genes identified from the ROH analysis indicate phenotypic attributes associated with environmental adaptation and economic traits.

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