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Haque MA, Lee YM, Ha JJ, Jin S, Park B, Kim NY, Won JI, Kim JJ. Genome-wide association study identifies genomic regions associated with key reproductive traits in Korean Hanwoo cows. BMC Genomics 2024; 25:496. [PMID: 38778305 PMCID: PMC11112828 DOI: 10.1186/s12864-024-10401-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Conducting genome-wide association studies (GWAS) for reproductive traits in Hanwoo cattle, including age at first calving (AFC), calving interval (CI), gestation length (GL), and number of artificial inseminations per conception (NAIPC), is of paramount significance. These analyses provided a thorough exploration of the genetic basis of these traits, facilitating the identification of key markers for targeted trait improvement. Breeders can optimize their selection strategies, leading to more efficient and sustainable breeding programs, by incorporating genetic insights. This impact extends beyond individual traits and contributes to the overall productivity and profitability of the Hanwoo beef cattle industry. Ultimately, GWAS is essential in ensuring the long-term genetic resilience and adaptability of Hanwoo cattle populations. The primary goal of this study was to identify significant single nucleotide polymorphisms (SNPs) or quantitative trait loci (QTLs) associated with the studied reproductive traits and subsequently map the underlying genes that hold promise for trait improvement. RESULTS A genome-wide association study of reproductive traits identified 68 significant single nucleotide polymorphisms (SNPs) distributed across 29 Bos taurus autosomes (BTA). Among them, BTA14 exhibited the highest number of identified SNPs (25), whereas BTA6, BTA7, BTA8, BTA10, BTA13, BTA17, and BTA20 exhibited 8, 5, 5, 3, 8, 2, and 12 significant SNPs, respectively. Annotation of candidate genes within a 500 kb region surrounding the significant SNPs led to the identification of ten candidate genes relevant to age at first calving. These genes were: FANCG, UNC13B, TESK1, TLN1, and CREB3 on BTA8; FAM110B, UBXN2B, SDCBP, and TOX on BTA14; and MAP3K1 on BTA20. Additionally, APBA3, TCF12, and ZFR2, located on BTA7 and BTA10, were associated with the calving interval; PAX1, SGCD, and HAND1, located on BTA7 and BTA13, were linked to gestation length; and RBM47, UBE2K, and GPX8, located on BTA6 and BTA20, were linked to the number of artificial inseminations per conception in Hanwoo cows. CONCLUSIONS The findings of this study enhance our knowledge of the genetic factors that influence reproductive traits in Hanwoo cattle populations and provide a foundation for future breeding strategies focused on improving desirable traits in beef cattle. This research offers new evidence and insights into the genetic variants and genome regions associated with reproductive traits and contributes valuable information to guide future efforts in cattle breeding.
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Affiliation(s)
- Md Azizul Haque
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, 38541, Korea
| | - Yun-Mi Lee
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, 38541, Korea
| | - Jae-Jung Ha
- Gyeongbuk Livestock Research Institute, Yeongju, 36052, Korea
| | - Shil Jin
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang, 25340, Korea
| | - Byoungho Park
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang, 25340, Korea
| | - Nam-Young Kim
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang, 25340, Korea
| | - Jeong-Il Won
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang, 25340, Korea.
| | - Jong-Joo Kim
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, 38541, Korea.
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Reyer H, Abou-Soliman I, Schulze M, Henne H, Reinsch N, Schoen J, Wimmers K. Genome-Wide Association Analysis of Semen Characteristics in Piétrain Boars. Genes (Basel) 2024; 15:382. [PMID: 38540441 PMCID: PMC10969825 DOI: 10.3390/genes15030382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 06/14/2024] Open
Abstract
Since artificial insemination is common practice in pig breeding, the quality and persistence of the semen are decisive for the usability of individual boars. In the current study, genome-wide association analyses were performed to investigate the genetic variability underlying phenotypic variations in semen characteristics. These traits comprise sperm morphology and sperm motility under different temporal and thermal storage conditions, in addition to standard semen quality parameters. Two consecutive samples of the fourth and fifth ejaculates from the same boar were comprehensively analyzed in a genotyped Piétrain boar population. A total of 13 genomic regions on different chromosomes were identified that contain single-nucleotide polymorphisms significantly associated with these traits. Subsequent analysis of the genomic regions revealed candidate genes described to be involved in spermatogenesis, such as FOXL3, GPER1, PDGFA, PRKAR1B, SNRK, SUN1, and TSPO, and sperm motility, including ARRDC4, CEP78, DNAAF5, and GPER1. Some of these genes were also associated with male fertility or infertility in mammals (e.g., CEP78, GPER1). The analyses based on these laboriously determined and valuable phenotypes contribute to a better understanding of the genetic background of male fertility traits in pigs and could prospectively contribute to the improvement of sperm quality through breeding approaches.
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Affiliation(s)
- Henry Reyer
- Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany; (I.A.-S.); (N.R.); (K.W.)
| | - Ibrahim Abou-Soliman
- Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany; (I.A.-S.); (N.R.); (K.W.)
- Department of Animal and Poultry Breeding, Desert Research Center, Cairo 11753, Egypt
| | - Martin Schulze
- Institute for Reproduction of Farm Animals Schönow, 16321 Bernau, Germany;
| | | | - Norbert Reinsch
- Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany; (I.A.-S.); (N.R.); (K.W.)
| | - Jennifer Schoen
- Leibniz Institute for Zoo and Wildlife Research (IZW), 10315 Berlin, Germany;
- Institute of Biotechnology, Technische Universität Berlin, 10623 Berlin, Germany
| | - Klaus Wimmers
- Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany; (I.A.-S.); (N.R.); (K.W.)
- Faculty of Agricultural and Environmental Sciences, University of Rostock, 18059 Rostock, Germany
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Zhang Y, Wei Z, Zhang M, Wang S, Gao T, Huang H, Zhang T, Cai H, Liu X, Fu T, Liang D. Population Structure and Selection Signal Analysis of Nanyang Cattle Based on Whole-Genome Sequencing Data. Genes (Basel) 2024; 15:351. [PMID: 38540410 PMCID: PMC10970060 DOI: 10.3390/genes15030351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/07/2024] [Accepted: 03/09/2024] [Indexed: 06/14/2024] Open
Abstract
With a rich breeding history, Nanyang cattle (NY cattle) have undergone extensive natural and artificial selection, resulting in distinctive traits such as high fertility, excellent meat quality, and disease resistance. This makes them an ideal model for studying the mechanisms of environmental adaptability. To assess the population structure and genetic diversity of NY cattle, we performed whole-genome resequencing on 30 individuals. These data were then compared with published whole-genome resequencing data from 432 cattle globally. The results indicate that the genetic structure of NY cattle is significantly different from European commercial breeds and is more similar to North-Central Chinese breeds. Furthermore, among all breeds, NY cattle exhibit the highest genetic diversity and the lowest population inbreeding levels. A genome-wide selection signal analysis of NY cattle and European commercial breeds using Fst, θπ-ratio, and θπ methods revealed significant selection signals in genes associated with reproductive performance and immunity. Our functional annotation analysis suggests that these genes may be responsible for reproduction (MAP2K2, PGR, and GSE1), immune response (NCOA2, HSF1, and PAX5), and olfaction (TAS1R3). We provide a comprehensive overview of sequence variations in the NY cattle genome, revealing insights into the population structure and genetic diversity of NY cattle. Additionally, we identify candidate genes associated with important economic traits, offering valuable references for future conservation and breeding efforts of NY cattle.
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Affiliation(s)
- Yan Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Zhitong Wei
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Man Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Shiwei Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Tengyun Gao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Hetian Huang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Tianliu Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Hanfang Cai
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Xian Liu
- Henan Animal Husbandry Station, Zhengzhou 450008, China;
| | - Tong Fu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
| | - Dong Liang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.Z.); (Z.W.); (M.Z.); (S.W.); (T.G.); (H.H.); (T.Z.); (H.C.); (T.F.)
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Alam MZ, Haque MA, Iqbal A, Lee YM, Ha JJ, Jin S, Park B, Kim NY, Won JI, Kim JJ. Genome-Wide Association Study to Identify QTL for Carcass Traits in Korean Hanwoo Cattle. Animals (Basel) 2023; 13:2737. [PMID: 37685003 PMCID: PMC10486602 DOI: 10.3390/ani13172737] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
This study aimed to identify genetic associations with carcass traits in Hanwoo cattle using a genome-wide association study. A total of 9302 phenotypes were analyzed, and all animals were genotyped using the Illumina Bovine 50K v.3 SNP chip. Heritabilities for carcass weight (CWT), eye muscle area (EMA), backfat thickness (BF), and marbling score (MS) were estimated as 0.42, 0.36, 0.36, and 0.47, respectively, using the GBLUP model, and 0.47, 0.37, 0.36, and 0.42, respectively, using the Bayes B model. We identified 129 common SNPs using DGEBV and 118 common SNPs using GEBV on BTA6, BTA13, and BTA14, suggesting their potential association with the traits of interest. No common SNPs were found between the GBLUP and Bayes B methods when using residuals as a response variable in GWAS. The most promising candidate genes for CWT included SLIT2, PACRGL, KCNIP4, RP1, XKR4, LYN, RPS20, MOS, FAM110B, UBXN2B, CYP7A1, SDCBP, NSMAF, TOX, CA8, LAP3, FAM184B, and NCAPG. For EMA, the genes IBSP, LAP3, FAM184B, LCORL, NCAPG, SLC30A9, and BEND4 demonstrated significance. Similarly, CYP7B1, ARMC1, PDE7A, and CRH were associated with BF, while CTSZ, GNAS, VAPB, and RAB22A were associated with MS. This finding offers valuable insights into genomic regions and molecular mechanisms influencing Hanwoo carcass traits, aiding efficient breeding strategies.
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Affiliation(s)
- Mohammad Zahangir Alam
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Md Azizul Haque
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Asif Iqbal
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Yun-Mi Lee
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
| | - Jae-Jung Ha
- Gyeongbuk Livestock Research Institute, Yeongju 36052, Republic of Korea;
| | - Shil Jin
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Byoungho Park
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Nam-Young Kim
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Jeong Il Won
- Hanwoo Research Institute, National Institute of Animal Science, Pyeongchang 25340, Republic of Korea; (S.J.); (B.P.); (N.-Y.K.)
| | - Jong-Joo Kim
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea; (M.Z.A.); (M.A.H.); (A.I.); (Y.-M.L.)
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5
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Li S, Lei H, Li J, Sun A, Ahmed Z, Duan H, Chen L, Zhang B, Lei C, Yi K. Analysis of genetic diversity and selection signals in Chaling cattle of southern China using whole-genome scan. Anim Genet 2023; 54:284-294. [PMID: 36864643 DOI: 10.1111/age.13305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/12/2023] [Accepted: 01/30/2023] [Indexed: 03/04/2023]
Abstract
China has diversified resources of indigenous cattle, which are classified into Northern, Central, and Southern groups according to their geographical distribution. Chaling cattle belong to Southern group. This breed is famous for the production of good quality meat with elite meat grades. To analyze the genetic diversity of Chaling cattle, 20 samples were sequenced using whole-genome resequencing technology, along with 138 published whole-genome sequencing data of Indian indicine cattle, Chinese indicine cattle, East Asian taurine cattle, Eurasian taurine cattle, and European taurine cattle as control. It was found that Chaling cattle originated from Chinese indicine cattle. The genetic diversity of Chaling cattle is higher than that of Indian indicine cattle, East Asian taurine cattle, Eurasian taurine cattle, and European taurine cattle, but lower than that of Chinese indicine cattle and Xiangxi cattle. Annotating the selection signals obtained by composite likelihood ratio, θπ, FST , π-ratio, and XP-EHH methods, several genes associated with immunity, heat tolerance, reproduction, growth, and meat quality showed strong selection signals. In general, this study provides a theoretical basis for analyzing the genetic mechanism of Chaling cattle with excellent adaptability, rough feeding tolerance, good immune performance, and good meat quality. This work lays a foundation for genetic breeding of Chaling cattle in future.
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Affiliation(s)
- Shuang Li
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Hong Lei
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Jianbo Li
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Ao Sun
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Zulfiqar Ahmed
- Department of Livestock and Poultry Production, Faculty of Veterinary and Animal Science, University of Poonch Rawalakot, Azad Kashmir, Pakistan
| | - Hongfeng Duan
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Lin Chen
- Chaling County Agricultural Development Corporation Ltd, Chaling, Hunan, China
| | - Baizhong Zhang
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Kangle Yi
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
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Naserkheil M, Mehrban H, Lee D, Park MN. Genome-wide Association Study for Carcass Primal Cut Yields Using Single-step Bayesian Approach in Hanwoo Cattle. Front Genet 2021; 12:752424. [PMID: 34899840 PMCID: PMC8662546 DOI: 10.3389/fgene.2021.752424] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/02/2021] [Indexed: 12/30/2022] Open
Abstract
The importance of meat and carcass quality is growing in beef cattle production to meet both producer and consumer demands. Primal cut yields, which reflect the body compositions of carcass, could determine the carcass grade and, consequently, command premium prices. Despite its importance, there have been few genome-wide association studies on these traits. This study aimed to identify genomic regions and putative candidate genes related to 10 primal cut traits, including tenderloin, sirloin, striploin, chuck, brisket, top round, bottom round, shank, flank, and rib in Hanwoo cattle using a single-step Bayesian regression (ssBR) approach. After genomic data quality control, 43,987 SNPs from 3,745 genotyped animals were available, of which 3,467 had phenotypic records for the analyzed traits. A total of 16 significant genomic regions (1-Mb window) were identified, of which five large-effect quantitative trait loci (QTLs) located on chromosomes 6 at 38–39 Mb, 11 at 21–22 Mb, 14 at 6–7 Mb and 26–27 Mb, and 19 at 26–27 Mb were associated with more than one trait, while the remaining 11 QTLs were trait-specific. These significant regions were harbored by 154 genes, among which TOX, FAM184B, SPP1, IBSP, PKD2, SDCBP, PIGY, LCORL, NCAPG, and ABCG2 were noteworthy. Enrichment analysis revealed biological processes and functional terms involved in growth and lipid metabolism, such as growth (GO:0040007), muscle structure development (GO:0061061), skeletal system development (GO:0001501), animal organ development (GO:0048513), lipid metabolic process (GO:0006629), response to lipid (GO:0033993), metabolic pathways (bta01100), focal adhesion (bta04510), ECM–receptor interaction (bta04512), fat digestion and absorption (bta04975), and Rap1 signaling pathway (bta04015) being the most significant for the carcass primal cut traits. Thus, identification of quantitative trait loci regions and plausible candidate genes will aid in a better understanding of the genetic and biological mechanisms regulating carcass primal cut yields.
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Affiliation(s)
- Masoumeh Naserkheil
- Animal Breeding and Genetics Division, National Institute of Animal Science, Cheonan-si, South Korea
| | - Hossein Mehrban
- Department of Animal Science, Shahrekord University, Shahrekord, Iran
| | - Deukmin Lee
- Department of Animal Life and Environment Sciences, Hankyong National University, Anseong-si, South Korea
| | - Mi Na Park
- Animal Breeding and Genetics Division, National Institute of Animal Science, Cheonan-si, South Korea
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Lefebvre R, Larroque H, Barbey S, Gallard Y, Colleau JJ, Lainé AL, Boichard D, Martin P. Genome-wide association study for age at puberty and resumption of cyclicity in a crossbred dairy cattle population. J Dairy Sci 2021; 104:5794-5804. [PMID: 33516553 DOI: 10.3168/jds.2020-18228] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 11/04/2020] [Indexed: 12/12/2022]
Abstract
Fertility is of primary economic importance in dairy cattle and the most common reason for involuntary culling. However, standard fertility traits have very low heritability that renders genetic selection slow and difficult. In this study, we explored fertility from an endocrine standpoint. A total of 1,163 crossbred Holstein-Normande females in a 3-generation familial design were studied for progesterone level measured every 10 d to determine age at puberty (PUB) and commencement of postpartum luteal activity (CPLA). Genetic parameters were estimated using REML with WOMBAT software. The heritability estimates were 0.38 ± 0.10 and 0.16 ± 0.07 for PUB and CPLA, respectively. Moreover, the 2 traits were genetically correlated (0.45 ± 0.23), suggesting a partially common determinism. Because of the family structure, a linkage disequilibrium and linkage analysis approach was preferred over standard genome-wide association study to map genomic regions associated with these traits. Ten quantitative trait loci (QTL) were detected for PUB on chromosomes 1, 3, 11, 13, 14, 21, and 29, whereas 3 QTL were associated with CPLA on chromosomes 21 and 26. Only the QTL on chromosome 21 was common to both traits. Four functional candidate genes (NCOA2, GAS2, OVOL1, and FOSL1) were identified in the detected regions. These findings will contribute to a clearer understanding of fertility determinism and enhance the value of introducing endocrinological data in fertility studies.
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Affiliation(s)
- R Lefebvre
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
| | - H Larroque
- GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326, Castanet Tolosan, France
| | - S Barbey
- INRAE UE326 Domaine Expérimental du Pin, INRA, Exmes 61310, France
| | - Y Gallard
- INRAE UE326 Domaine Expérimental du Pin, INRA, Exmes 61310, France
| | - J J Colleau
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
| | - A L Lainé
- INRAE, UMR-PRC, Laboratoire Phénotypage-Endocrinologie, Nouzilly 37380, France
| | - D Boichard
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France
| | - P Martin
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350 Jouy-en-Josas, France.
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Srikanth K, Lee SH, Chung KY, Park JE, Jang GW, Park MR, Kim NY, Kim TH, Chai HH, Park WC, Lim D. A Gene-Set Enrichment and Protein-Protein Interaction Network-Based GWAS with Regulatory SNPs Identifies Candidate Genes and Pathways Associated with Carcass Traits in Hanwoo Cattle. Genes (Basel) 2020; 11:E316. [PMID: 32188084 PMCID: PMC7140899 DOI: 10.3390/genes11030316] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/06/2020] [Accepted: 03/12/2020] [Indexed: 02/06/2023] Open
Abstract
Non-synonymous SNPs and protein coding SNPs within the promoter region of genes (regulatory SNPs) might have a significant effect on carcass traits. Imputed sequence level data of 10,215 Hanwoo bulls, annotated and filtered to include only regulatory SNPs (450,062 SNPs), were used in a genome-wide association study (GWAS) to identify loci associated with backfat thickness (BFT), carcass weight (CWT), eye muscle area (EMA), and marbling score (MS). A total of 15, 176, and 1 SNPs were found to be significantly associated (p < 1.11 × 10-7) with BFT, CWT, and EMA, respectively. The significant loci were BTA4 (CWT), BTA6 (CWT), BTA14 (CWT and EMA), and BTA19 (BFT). BayesR estimated that 1.1%~1.9% of the SNPs contributed to more than 0.01% of the phenotypic variance. So, the GWAS was complemented by a gene-set enrichment (GSEA) and protein-protein interaction network (PPIN) analysis in identifying the pathways affecting carcass traits. At p < 0.005 (~2,261 SNPs), 25 GO and 18 KEGG categories, including calcium signaling, cell proliferation, and folate biosynthesis, were found to be enriched through GSEA. The PPIN analysis showed enrichment for 81 candidate genes involved in various pathways, including the PI3K-AKT, calcium, and FoxO signaling pathways. Our finding provides insight into the effects of regulatory SNPs on carcass traits.
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Affiliation(s)
- Krishnamoorthy Srikanth
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Seung-Hwan Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea;
| | - Ki-Yong Chung
- Department of Beef Science, Korea National College of Agriculture and Fisheries, Jeonju 54874, Korea;
| | - Jong-Eun Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Gul-Won Jang
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Mi-Rim Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Na Yeon Kim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Tae-Hun Kim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Han-Ha Chai
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Won Cheoul Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
| | - Dajeong Lim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, RDA, Wanju 55365, Korea (J.-E.P.); (G.-W.J.); (M.-R.P.); (N.Y.K.); (T.-H.K.); (H.-H.C.); (W.C.P.)
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9
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Li R, Li C, Chen H, Li R, Chong Q, Xiao H, Chen S. Genome-wide scan of selection signatures in Dehong humped cattle for heat tolerance and disease resistance. Anim Genet 2019; 51:292-299. [PMID: 31887783 DOI: 10.1111/age.12896] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2019] [Indexed: 01/11/2023]
Abstract
Dehong humped cattle (DHH) is an indigenous zebu breed from southwestern China that possesses characteristics of heat tolerance and strong disease resistance and adapts well to the local tropical and subtropical climatic conditions. However, information on selection signatures of DHH is scarce. Herein, we compared the genomes of DHH and each of Diqing and Zhaotong cattle breeds using the population differentiation index (FST ), cross-population extended haplotype homozygosity (XP-EHH) and cross-population composite likelihood ratio (XP-CLR) methods to explore the genomic signatures of heat tolerance and disease resistance in DHH. Several pathways and genes carried selection signatures, including thermal sweating (calcium signaling pathway), heat shock (HSF1) and oxidative stress response (PLCB1, PLCB4), coat color (RAB31), feed intake (ATP8A1, SHC3) and reproduction (TP63, MAP3K13, PTPN4, PPP3CC, ADAMTSL1, SS18L1, OSBPL2, TOX, RREB1, GRK2). These identified pathways and genes may contribute to heat tolerance in DHH. Simultaneously, we also identified LIPH, TP63 and CBFA2T3 genes under positive selection that were associated with immunity.
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Affiliation(s)
- R Li
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - C Li
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China.,National Demonstration Center for Experimental Life Sciences Education, Yunnan University, Kunming, Yunnan, 650500, China
| | - H Chen
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - R Li
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - Q Chong
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - H Xiao
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - S Chen
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China.,National Demonstration Center for Experimental Life Sciences Education, Yunnan University, Kunming, Yunnan, 650500, China
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10
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Bhuiyan MSA, Lim D, Park M, Lee S, Kim Y, Gondro C, Park B, Lee S. Functional Partitioning of Genomic Variance and Genome-Wide Association Study for Carcass Traits in Korean Hanwoo Cattle Using Imputed Sequence Level SNP Data. Front Genet 2018; 9:217. [PMID: 29988410 PMCID: PMC6024024 DOI: 10.3389/fgene.2018.00217] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 05/28/2018] [Indexed: 11/25/2022] Open
Abstract
Quantitative traits are usually controlled by numerous genomic variants with small individual effects, and variances associated with those traits are explained in a continuous manner. However, the relative contributions of genomic regions to observed genetic variations have not been well explored using sequence level single nucleotide polymorphism (SNP) information. Here, imputed sequence level SNP data (11,278,153 SNPs) of 2109 Hanwoo steers (Korean native cattle) were partitioned according to functional annotation, chromosome, and minor allele frequency (MAF). Genomic relationship matrices (GRMs) were constructed for each classified region and fitted in the model both separately and together for carcass weight (CWT), eye muscle area (EMA), backfat thickness (BFT), and marbling score (MS) traits. A genome-wide association study (GWAS) was performed to identify significantly associated variants in genic and exon regions using a linear mixed model, and the genetic contribution of each exonic SNP was determined using a Bayesian mixture model. Considering all SNPs together, the heritability estimates for CWT, EMA, BFT, and MS were 0.57 ± 0.05, 0.46 ± 0.05, 0.45 ± 0.05, and 0.49 ± 0.05, respectively, which reflected substantial genomic contributions. Joint analysis revealed that the variance explained by each chromosome was proportional to its physical length with weak linear relationships for all traits. Moreover, genomic variances explained by functional category and MAF class differed greatly among the traits studied in joint analysis. For example, exon regions had larger contributions for BFT (0.13 ± 0.08) and MS (0.22 ± 0.08), whereas intron and intergenic regions explained most of the total genomic variances for CWT and EMA (0.22 ± 0.09–0.32 ± 0.11). Considering different functional classes of exon regions and the per SNP contribution revealed the largest proportion of genetic variance was attributable to synonymous variants. GWAS detected 206 and 27 SNPs in genic and exon regions, respectively, on BTA4, BTA6, and BTA14 that were significantly associated with CWT and EMA. These SNPs were harbored by 31 candidate genes, among which TOX, FAM184B, PPARGC1A, PRKDC, LCORL, and COL1A2 were noteworthy. BayesR analysis found that most SNPs (>93%) had very small effects and the 4.02–6.92% that had larger effects (10-4 × σA2, 10-3 × σA2, and 10-2 × σA2) explained most of the total genetic variance, confirming polygenic components of the traits studied.
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Affiliation(s)
- Mohammad S A Bhuiyan
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, South Korea.,Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Dajeong Lim
- Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju, South Korea
| | - Mina Park
- Animal Genetic Improvement Division, National Institute of Animal Science, Rural Development Administration, Seonghwan, South Korea
| | - Soohyun Lee
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, South Korea
| | - Yeongkuk Kim
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, South Korea
| | - Cedric Gondro
- College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, United States
| | - Byoungho Park
- Animal Genetic Improvement Division, National Institute of Animal Science, Rural Development Administration, Seonghwan, South Korea
| | - Seunghwan Lee
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, South Korea
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11
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Mota R, Guimarães S, Fortes M, Hayes B, Silva F, Verardo L, Kelly M, de Campos C, Guimarães J, Wenceslau R, Penitente-Filho J, Garcia J, Moore S. Genome-wide association study and annotating candidate gene networks affecting age at first calving in Nellore cattle. J Anim Breed Genet 2017; 134:484-492. [DOI: 10.1111/jbg.12299] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 09/14/2017] [Indexed: 11/29/2022]
Affiliation(s)
- R.R. Mota
- TERRA Teaching and Research Centre; Gembloux Agro-Bio Tech Faculty; University of Liège; Gembloux Belgium
- Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - S.E.F. Guimarães
- Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - M.R.S. Fortes
- School of Chemistry and Molecular Biosciences; the University of Queensland; Brisbane Qld Australia
| | - B. Hayes
- Queensland Alliance for Agriculture and Food Innovation; the University of Queensland; Brisbane Qld Australia
| | - F.F. Silva
- Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - L.L. Verardo
- Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - M.J. Kelly
- Queensland Alliance for Agriculture and Food Innovation; the University of Queensland; Brisbane Qld Australia
| | - C.F. de Campos
- Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - J.D. Guimarães
- Department of Veterinary Medicine; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - R.R. Wenceslau
- Animal Science Institute; Universidade Federal de Minas Gerais; Belo Horizonte Minas Gerais Brazil
| | - J.M. Penitente-Filho
- Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil
| | - J.F. Garcia
- Department of Support, Health and Animal Production; Faculdade de Medicina Veterinária de Araçatuba; UNESP - Universidade Estadual Paulista; Araçatuba São Paulo Brazil
| | - S. Moore
- Queensland Alliance for Agriculture and Food Innovation; the University of Queensland; Brisbane Qld Australia
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12
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Hudson NJ, Porto-Neto L, Kijas JW, Reverter A. Compression distance can discriminate animals by genetic profile, build relationship matrices and estimate breeding values. Genet Sel Evol 2015; 47:78. [PMID: 26464167 PMCID: PMC4604992 DOI: 10.1186/s12711-015-0158-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 09/23/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Genetic relatedness is currently estimated by a combination of traditional pedigree-based approaches (i.e. numerator relationship matrices, NRM) and, given the recent availability of molecular information, using marker genotypes (via genomic relationship matrices, GRM). To date, GRM are computed by genome-wide pair-wise SNP (single nucleotide polymorphism) correlations. RESULTS We describe a new estimate of genetic relatedness using the concept of normalised compression distance (NCD) that is borrowed from Information Theory. Analogous to GRM, the resultant compression relationship matrix (CRM) exploits numerical patterns in genome-wide allele order and proportion, which are known to vary systematically with relatedness. We explored properties of the CRM in two industry cattle datasets by analysing the genetic basis of yearling weight, a phenotype of moderate heritability. In both Brahman (Bos indicus) and Tropical Composite (Bos taurus by Bos indicus) populations, the clustering inferred by NCD was comparable to that based on SNP correlations using standard principal component analysis approaches. One of the versions of the CRM modestly increased the amount of explained genetic variance, slightly reduced the 'missing heritability' and tended to improve the prediction accuracy of breeding values in both populations when compared to both NRM and GRM. Finally, a sliding window-based application of the compression approach on these populations identified genomic regions influenced by introgression of taurine haplotypes. CONCLUSIONS For these two bovine populations, CRM reduced the missing heritability and increased the amount of explained genetic variation for a moderately heritable complex trait. Given that NCD can sensitively discriminate closely related individuals, we foresee CRM having possible value for estimating breeding values in highly inbred populations.
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Affiliation(s)
- Nicholas J Hudson
- CSIRO Agriculture, Computational and Systems Biology, 306 Carmody Road, St. Lucia, Brisbane, QLD, 4075, Australia.
| | - Laercio Porto-Neto
- CSIRO Agriculture, Computational and Systems Biology, 306 Carmody Road, St. Lucia, Brisbane, QLD, 4075, Australia.
| | - James W Kijas
- CSIRO Agriculture, Computational and Systems Biology, 306 Carmody Road, St. Lucia, Brisbane, QLD, 4075, Australia.
| | - Antonio Reverter
- CSIRO Agriculture, Computational and Systems Biology, 306 Carmody Road, St. Lucia, Brisbane, QLD, 4075, Australia.
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