Whole genome sequencing analysis of horse populations inhabiting the Korean Peninsula and Przewalski's horse
- Authors
- Seong, Ha-Seung; Kim, Nam-Young; Kim, Dae Cheol; Hwang, Nam-Hyun; Son, Da-Hye; Shin, Jong Suh; Lee, Joon-Hee; Chung, Won-Hyong; Choi, Jung-Woo
- Issue Date
- Jun-2019
- Publisher
- SPRINGER
- Keywords
- Jeju horse; Przewalski's horse; Re-sequencing; Single-nucleotide polymorphism
- Citation
- GENES & GENOMICS, v.41, no.6, pp 621 - 628
- Pages
- 8
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- GENES & GENOMICS
- Volume
- 41
- Number
- 6
- Start Page
- 621
- End Page
- 628
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/9120
- DOI
- 10.1007/s13258-019-00795-w
- ISSN
- 1976-9571
2092-9293
- Abstract
- BackgroundThe Jeju horse is an indigenous horse breed in Korea. However, there is a severe lack of genomic studies on Korean horse breeds.ObjectiveThe objective of this study was to report genomic characteristics of domestic horse populations that inhabit South Korea (Jeju, Jeju crossbred, and Thoroughbred) and a wild horse breed (Przewalski's horse).ResultsUsing the equine reference genome assembly (EquCab 2.0), more than 6.5billion sequence reads were successfully mapped, which generated an average of 40.87-fold coverage throughout the genome. Using these data, we detected a total of 12.88million SNPs, of which 73.7% were found to be novel. All the detected SNPs were deeply annotated to retrieve SNPs in gene regions using the RefSeq and Ensemble gene sets. Approximately 27% of the total SNPs were located within genes, whereas the remaining 73% were found in intergenic regions. Using 129,776 coding SNPs, we retrieved a total of 49,171 nonsynonymous SNPs in 12,351 genes. Furthermore, we identified a total of 10,770 deleterious nonsynonymous SNPs which are predicted to affect protein structure or function.ConclusionWe showed numerous genomic variants from domestic and wild horse breeds. These results provide a valuable resource for further studies on functions of SNP-containing genes, and can aid in determining the molecular basis underlying variation in economically important traits of horses.
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