Background: Copy number variation (CNV) can be identified using next-generation sequencing and microarray technologies, the research on the analysis of its association with meat traits in livestock breeding has significantly increased in recent years. Hanwoo is an inherent species raised in the Republic of Korea. It is now considered one of the most economically important species and a major food source mainly used for meat (Hanwoo beef). Methods: In this study, CNVs and the relationship between the obtained CNV regions (CNVRs) can be identified in the Hanwoo steer samples (n = 473) using Illumina Hanwoo SNP 50K bead chip and bioinformatic tools, which were used to locate the required data and meat traits were investigated. The PennCNV software was used for the identification of CNVs, followed by the use of the CNV Ruler software for locating the different CNVRs. Furthermore, bioinformatics analysis was performed. Results: We found a total of 2,575 autosomal CNVs (933 losses, 1,642 gains) and 416 CNVRs (289 gains, 111 losses, and 16 mixed), which were established with ranged in size from 2,183 bp to 983,333 bp and 10,004 bp to 381,836 bp, respectively. Upon analyzing the restriction of minor alleles frequency > 0.05 for meat traits association, 6 CNVRs in the carcass weight, 2 CNVRs in the marbling score, 3 CNVRs in the backfat thickness, and 2 CNVRs in the longissimus muscle area were related to the meat traits. In addition, we identified an overlap of 347 CNVRs. Moreover, 3 CNVRs were determined to have a gene that affects meat quality. Conclusions: Our results confirmed the relationship between Hanwoo CNVR and meat traits, and the possibility of overlapping candidate genes, annotations, and quantitative trait loci that results depended on to contribute to the greater understanding of CNVs in Hanwoo and its role in genetic variation among cattle livestock.

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MATERIALS AND METHODS
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REFERENCES

• Chan Mi Bang(Department of Genomic Informatics, Graduate School of Future Convergence Technology, Hankyong National University, Anseong 17579, Korea)
• Khaliunaa Tseveen(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea)
• Gwang Hyeon Lee(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea)
• Gil Jong Seo(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea)
• Hong Sik Kong(Department of Applied Biotechnology, The Graduate School of Hankyong National University, Anseong 17579, Korea, Genomic Informatics Center, Hankyong National University, Anseong 17579, Korea, Gyeonggi Regional Research Center, Hankyong National University, Anseong 17579, Korea) Corresponding author