Seungchang Kim

Dr. Seungchang Kim

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in Asian-Australasian Journal of Animal Sciences
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Journal Article
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SKSeungchang Kim
Seungchang Kim
HCHyun Sub Cheong
Hyun Sub Cheong
HSHyoung Doo Shin
Hyoung Doo Shin
SLSung-Soo Lee
Sung-Soo Lee
HRHee-Jong Roh
Hee-Jong Roh
CCChang-Yeon Cho
Chang-Yeon Cho
In Korea, there are three main cattle breeds, which are distinguished by coat color: Brown Hanwoo (BH), Brindle Hanwoo (BRH), and Jeju Black (JB). In this study, we sought to compare the genetic diversity and divergence among there Korean cattle breeds using a BovineHD chip genotyping array. Sample data were collected from 168 cattle in three populations of BH (48 cattle), BRH (96 cattle), and JB (24 cattle). The single-nucleotide polymorphism (SNP) genotyping was performed using the Illumina BovineHD SNP 777K Bead chip. Heterozygosity, used as a measure of within-breed genetic diversity, was higher in BH (0.293) and BRH (0.296) than in JB (0.266). Linkage disequilibrium decay was more rapid in BH and BRH than in JB, reaching an average r² value of 0.2 before 26 kb in BH and BRH, whereas the corresponding value was reached before 32 kb in JB. Intra-population, inter-population, and Fst analyses were used to identify candidate signatures of positive selection in the genome of a domestic Korean cattle population and 48, 11, and 11 loci were detected in the genomic region of the BRH breed, respectively. A Neighbor-Joining phylogenetic tree showed two main groups: a group comprising BH and BRH on one side and a group containing JB on the other. The runs of homozygosity analysis between Korean breeds indicated that the BRH and JB breeds have high inbreeding within breeds compared with BH. An analysis of differentiation based on a high-density SNP chip showed differences between Korean cattle breeds and the closeness of breeds corresponding to the geographic regions where they are evolving. Our results indicate that although the Korean cattle breeds have common features, they also show reliable breed diversity.

1 December 2020 in Asian-Australasian Journal of Animal Sciences
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Journal Article
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HRHee-Jong Roh
Hee-Jong Roh
SKSeungchang Kim
Seungchang Kim
CCChang-Yeon Cho
Chang-Yeon Cho
JLJinwook Lee
Jinwook Lee
DJDayeon Jeon
Dayeon Jeon
LMLakmalie Manikku
Lakmalie Manikku
Objective: Estimating the genetic diversity and structures, both within and among chicken breeds, is critical for the identification and conservation of valuable genetic resources. In chickens, microsatellite (MS) marker polymorphisms have previously been widely used to evaluate these distinctions. Our objective was to analyze the genetic diversity and relationships among 22 chicken breeds in Asia based on allelic frequencies.Methods: We used 469 genomic DNA samples from 22 chicken breeds from eight Asian countries (South Korea, KNG, KNB, KNR, KNW, KNY, KNO; Laos, LYO, LCH, LBB, LOU; Indonesia, INK, INS, ING; Vietnam, VTN, VNH; Mongolia, MGN; Kyrgyzstan, KGPS; Nepal, NPS; Sri Lanka, SBC) and three imported breeds (RIR, Rhode Island Red; WLG, White Leghorn; CON, Cornish). Their genetic diversity and phylogenetic relationships were analyzed using 20 MS markers.Results: In total, 193 alleles were observed across all 20 MS markers, and the number of alleles ranged from 3 (MCW0103) to 20 (LEI0192) with a mean of 9.7 overall. The NPS breed had the highest expected heterozygosity (Hexp, 0.718±0.027) and polymorphism information content (PIC, 0.663±0.030). Additionally, the observed heterozygosity (Hobs) was highest in LCH (0.690±0.039), whereas WLG showed the lowest Hexp (0.372±0.055), Hobs (0.384±0.019), and PIC (0.325±0.049). Nei’s DA genetic distance was the closest between VTN and VNH (0.086), and farthest between KNG and MGN (0.503). Principal coordinate analysis showed similar results to the phylogenetic analysis, and three axes explained 56.2% of the variance (axis 1, 19.17%; 2, 18.92%; 3, 18.11%). STRUCTURE analysis revealed that the 22 chicken breeds should be divided into 20 clusters, based on the highest ΔK value (46.92).Conclusion: This study provides a basis for future genetic variation studies and the development of conservation strategies for 22 chicken breeds in Asia.

30 June 2019 in Korean Journal of Poultry Science
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Journal Article
Open access
HRHee-Jong Roh
Hee-Jong Roh
KKKwan-Woo Kim
Kwan-Woo Kim
JLJinwook Lee
Jinwook Lee
DJDayeon Jeon
Dayeon Jeon
SKSeungchang Kim
Seungchang Kim
CCChang-Yeon Cho
Chang-Yeon Cho

30 September 2023 in Journal of Animal Science and Technology
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Journal Article
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ECEunjin Cho
Eunjin Cho
MKMinjun Kim
Minjun Kim
JKJae-Hwan Kim
Jae-Hwan Kim
HRHee-Jong Roh
Hee-Jong Roh
SKSeungchang Kim
Seungchang Kim
Jun–Heon LeeJun–Heon Lee
Jun–Heon Lee
Journal of Animal Science and Technology (JAST) is a peer-reviewed, open access journal publishing original research, review articles and notes in all fields of animal science. Topics covered by the journal include: genetics and breeding, physiology, nutrition of monogastric animals, nutrition of ruminants, animal products (milk, meat, eggs and their by-products) and their processing, grasslands and roughages, livestock environment, animal biotechnology, animal behavior and welfare.

31 December 2023 in Korean Journal of Poultry Science
Verified
Journal Article
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HSHuimang Song
Huimang Song
SKSeungchang Kim
Seungchang Kim
SCSang-Rae Cho
Sang-Rae Cho
DJDae-Hyeok Jin
Dae-Hyeok Jin
한국가금학회지(The Journal of Curriculum Evaluation)

30 November 2025 in Journal of Animal Science and Technology
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Journal Article
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BPBohye Park
Bohye Park
DKDonghun Kang
Donghun Kang
SJSun-Sik Jang
Sun-Sik Jang
UKUI-Hyung Kim
UI-Hyung Kim
JKJongkyoo Kim
Jongkyoo Kim
KCKI YONG CHUNG
KI YONG CHUNG
Journal of Animal Science and Technology (JAST) is a peer-reviewed, open access journal publishing original research, review articles and notes in all fields of animal science. Topics covered by the journal include: genetics and breeding, physiology, nutrition of monogastric animals, nutrition of ruminants, animal products (milk, meat, eggs and their by-products) and their processing, grasslands and roughages, livestock environment, animal biotechnology, animal behavior and welfare.