November 21, 2024
zahra roudbari

zahra roudbari

Academic rank: Associate professor
Address: University of Jiroft
Education: PhD. in علوم دامی
Phone: 09132483343
Faculty:

Research

Title
A genome-wide association study of morphometric traits in dromedaries
Type Article
Keywords
Camelus dromedarius, candidate genes, genotyping by sequencing, single nucleotide polymorphism (SNP)
Researchers Morteza Bitaraf Sani, Omid Karimi, Pamela Anna Burger, Arash Javanmard, zahra roudbari, Nader Asadzadeh, Javad Zare Harofte, Mokhtar Mohajer, Ali Kazemi, Ali Shafei Naderi

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