Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr 7;11(1):7675.
doi: 10.1038/s41598-021-87296-7.

Genomic prediction for growth using a low-density SNP panel in dromedary camels

Affiliations

Genomic prediction for growth using a low-density SNP panel in dromedary camels

Morteza Bitaraf Sani et al. Sci Rep. .

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.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
The portable weighting scale (Company: Fuzhou Kejie Intelligent Technology Co.,Ltd. model: OCS-XZ-2, 2000 Weigh Capacity (Kg), Accuracy Class III, + /- 1 division (least count).This were made from 13 pieces of iron, hanging digital scale 2000 kg, and one chain crane.
Figure 2
Figure 2
Box plot of 255 body weight records (left plot) and growth trend (right plot) of 96 dromedary camels in five regions of the central desert of Iran.
Figure 3
Figure 3
Correlation coefficients among birth weight, daily gain, and body weight in dromedary camels.
Figure 4
Figure 4
Number of SNPs/Chromosome.
Figure 5
Figure 5
The Minor Allele Frequency distribution of 14,522 SNPs.
Figure 6
Figure 6
Manhattan plots and q-q plots of birth weight, daily gain, and body weight traits for Dromedary Camels. (A) birth weight; (B) daily gain; (C) body weight. The dotted horizontal line represents the set significant threshold (–log10 p value = 3). Red dots in the q–q plots represent the -log p-value of the entire study and the grey line represents the expected values under the null hypothesis of no association.
Figure 7
Figure 7
the Haplotype Blocks of the 99 associated SNPs with birth weight, daily gain, and body weight.
Figure 8
Figure 8
The accuracy of predicted GEBVs from the 99 SNPs using BGLR package.

Similar articles

Cited by

References

    1. Hashim WM, Galal MY, Ali AM, Khalafalla-Abdelmalik AI, Hamid SA, Mohamed KA. Dromedary camels in Sudan, types and sub types, distribution and movement. Int. J. Pharm. Res. Anal. 2015;5:8–12.
    1. Bernabucci U, Ronchi B, Lacetera N, Nardone A. Markers of Oxidative Status in Plasma and Erythrocytes of Transition Dairy Cows During Hot Season. J. Dairy Sci. 2002;85:2173–2179. doi: 10.3168/jds.S0022-0302(02)74296-3. - DOI - PubMed
    1. Abri MAA, Faye B. Genetic improvement in dromedary camels: challenges and opportunities. Front. Genet. 2019;10:167–171. doi: 10.3389/fgene.2019.00167. - DOI - PMC - PubMed
    1. Bitaraf Sani M, et al. Genome-Wide Diversity, Population Structure and Demographic History of Dromedaries in the Central Desert of Iran. Genes. 2020;11:599. doi: 10.3390/genes11060599. - DOI - PMC - PubMed
    1. Scienski K, et al. Genetic variability in a Holstein population using SNP markers and their use for monitoring mating strategies. Revista Mexicana de Ciencias Pecuarias. 2019;10:643–663. doi: 10.22319/rmcp.v10i3.4842. - DOI

Publication types