ArticleScientific reports2021
Genomic prediction for growth using a low-density SNP panel in dromedary camels.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- A genome-wide investigation of insidious uveitis in Appaloosa horses.BMC genomics · 2025Article
- The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries.BMC genomics · 2025Article
- Genomic scans for selection and runs of homozygosity in southern Italian turkey populations.Poultry science · 2025Article
- Identification of novel genetic loci related to dromedary camel (Camelus dromedarius) morphometrics, biomechanics, and behavior by genome-wide association studies.BMC veterinary research · 2024Article
- Genome-wide scan for runs of homozygosity in South American Camelids.BMC genomics · 2023Article
- Genome wide association study for growth in Pakistani dromedary camels using genotyping-by-sequencing.Animal bioscience · 2023Article
- Article
- Gene-Set Enrichment Analysis for Identifying Genes and Biological Activities Associated with Growth Traits in Dromedaries.Animals : an open access journal from MDPI · 2022Article
- Aspects of Molecular Genetics in Dromedary Camel.Frontiers in genetics · 2021Review
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Authors and funding
14 authors at 5 institutions in 3 countries.
Funding
Abstract
For thousands of years, camels have produced meat, milk, and fiber in harsh desert conditions. For a sustainable development to provide protein resources from desert areas, it is necessary to pay attention to genetic improvement in camel breeding. By using genotyping-by-sequencing (GBS) method we produced over 14,500 genome wide markers to conduct a genome- wide association study (GWAS) for investigating the birth weight, daily gain, and body weight of 96 dromedaries in the Iranian central desert. A total of 99 SNPs were associated with birth weight, daily gain, and body weight (p-value < 0.002). Genomic breeding values (GEBVs) were estimated with the BGLR package using (i) all 14,522 SNPs and (ii) the 99 SNPs by GWAS. Twenty-eight SNPs were associated with birth weight, daily gain, and body weight (p-value < 0.001). Annotation of the genomic region (s) within ± 100 kb of the associated SNPs facilitated prediction of 36 candidate genes. The accuracy of GEBVs was more than 0.65 based on all 14,522 SNPs, but the regression coefficients for birth weight, daily gain, and body weight were 0.39, 0.20, and 0.23, respectively. Because of low sample size, the GEBVs were predicted using the associated SNPs from GWAS. The accuracy of GEBVs based on the 99 associated SNPs was 0.62, 0.82, and 0.57 for birth weight, daily gain, and body weight. This report is the first GWAS using GBS on dromedary camels and identifies markers associated with growth traits that could help to plan breeding program to genetic improvement. Further researches using larger sample size and collaboration of the camel farmers and more profound understanding will permit verification of the associated SNPs identified in this project. The preliminary results of study show that genomic selection could be the appropriate way to genetic improvement of body weight in dromedary camels, which is challenging due to a long generation interval, seasonal reproduction, and lack of records and pedigrees.
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