Abstract
AbstractCopy number variation (CNV) is one of the main sources of variation between different individuals that has recently attracted much researcher interest as a major source for heritable variation in complex traits. The aim of this study was to identify CNVs in Afghan indigenous sheep consisting of three Arab, Baluchi, and Gadik breeds using genomic arrays containing 53,862 single nucleotide polymorphism (SNP) markers. Data were analyzed using the Hidden Markov Model (HMM) of PennCNV software. In this study, out of 45 sheep studied, 97.8% (44 animals) have shown CNVs. In total, 411 CNVs were observed for autosomal chromosomes and the entire sequence length of around 144 Mb was identified across the genome. The average number of CNVs per each sheep was 9.13. The identified CNVs for Arab, Baluchi, and Gadik breeds were 306, 62, and 43, respectively. After merging overlapped regions, a total of 376 copy number variation regions (CNVR) were identified, which are 286, 50, and 40 for Arab, Baluchi, and Gadik breeds, respectively. Bioinformatics analysis was performed to identify the genes and QTLs reported in these regions and the biochemical pathways involved by these genes. The results showed that many of these CNVRs overlapped with the genes or QTLs that are associated with various pathways such as immune system development, growth, reproduction, and environmental adaptions. Furthermore, to determine a genome-wide pattern of selection signatures in Afghan sheep breeds, the unbiased estimates of FST was calculated and the results indicated that 37 of the 376 CNVRs (~ 10%) have been also under selection signature, most of those overlapped with the genes influencing production, reproduction and immune system. Finally, the statistical methods used in this study was applied in an external dataset including 96 individuals of the Iranian sheep breed. The results indicated that 20 of the 114 CNVRs (18%) identified in Iranian sheep breed were also identified in our study, most of those overlapped with the genes influencing production, reproduction and immune system. Overall, this is the first attempts to develop the genomic map of loss and gain variation in the genome of Afghan indigenous sheep breeds, and may be important to shed some light on the genomic regions associated with some economically important traits in these breeds.
Publisher
Springer Science and Business Media LLC
Reference101 articles.
1. Kijas, J. W. et al. Genome-wide analysis of the world’s sheep breeds reveals high levels of historic mixture and strong recent selection. PLoS Biol. 10, e1001258 (2012).
2. Moradi, M. H., Khaltabadi-Farahani, A. H., Khodaei-Motlagh, M., Kazemi-Bonchenari, M. & McEwan, J. Genome-wide selection of discriminant SNP markers for breed assignment in indigenous sheep breeds. Ann. Anim. Sci. 21, 807–831 (2021).
3. Rashiq, M. H. Building carbohydrates from a livestock nutrition perspective. Kabul Univ. J. 1, 15–24 (1995).
4. Khanzadeh, H., Ghavi Hossein-Zadeh, N. & Ghovvati, S. Genome wide association studies, next generation sequencing and their application in animal breeding and genetics: A review. Iran. J. Appl. Anim. Sci. 10, 395–404 (2020).
5. Zhu, H. & Zhou, X. Statistical methods for SNP heritability estimation and partition: A review. Comput. Struct. Biotechnol. J. 18, 1557–1568 (2020).
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献