Veterinary Medicine and Science (Jul 2023)

A genome‐wide association study of morphometric traits in dromedaries

  • Morteza Bitaraf sani,
  • Omid Karimi,
  • Pamela Anna Burger,
  • Arash Javanmard,
  • Zahra Roudbari,
  • Mokhtar Mohajer,
  • Nader Asadzadeh,
  • Javad Zareh Harofteh,
  • Ali Kazemi,
  • Ali Shafei Naderi

DOI
https://doi.org/10.1002/vms3.1151
Journal volume & issue
Vol. 9, no. 4
pp. 1781 – 1790

Abstract

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Abstract Background Investigating genomic regions associated with morphometric traits in camels is valuable, because it allows a better understanding of adaptive and productive features to implement a sustainable management and a customised breeding program for dromedaries. Objectives With a genome‐wide association study (GWAS) including 96 Iranian dromedaries phenotyped for 12 morphometric traits and genotyped‐by‐sequencing (GBS) with 14,522 SNPs, we aimed at identifying associated candidate genes. Methods The association between SNPs and morphometric traits was investigated using a linear mixed model with principal component analysis (PCA) and kinship matrix. Results With this approach, we detected 59 SNPs located in 37 candidate genes potentially associated to morphometric traits in dromedaries. The top associated SNPs were related to pin width, whither to pin length, height at whither, muzzle girth, and tail length. Interestingly, the results highlight the association between whither height, muzzle circumference, tail length, whither to pin length. The identified candidate genes were associated with growth, body size, and immune system in other species. Conclusions We identified three key hub genes in the gene network analysis including ACTB, SOCS1 and ARFGEF1. In the central position of gene network, ACTB was detected as the most important gene related to muscle function. With this initial GWAS using GBS on dromedary camels for morphometric traits, we show that this SNP panel can be effective for genetic evaluation of growth in dromedaries. However, we suggest a higher‐density SNP array may greatly improve the reliability of the results.

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