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Xu Z, Wu J, Zhang Y, Qiao M, Zhou J, Feng Y, Li Z, Sun H, Lin R, Song Z, Zhao H, Li L, Chen N, Li Y, Oyelami FO, Peng X, Mei S. Genome-wide detection of selection signatures in Jianli pigs reveals novel cis-regulatory haplotype in EDNRB associated with two-end black coat color. BMC Genomics 2024; 25:23. [PMID: 38166718 PMCID: PMC10763394 DOI: 10.1186/s12864-023-09943-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Jianli pig, a renowned indigenous breed in China, has the characteristics of a two-end black (TEB) coat color, excellent meat quality, strong adaptability and increased prolificacy. However, there is limited information available regarding the genetic diversity, population structure and genomic regions under selection of Jianli pig. On the other hand, the genetic mechanism of TEB coat color has remained largely unknown. RESULTS In this study, the whole genome resequencing of 30 Jianli pigs within a context of 153 individuals representing 13 diverse breeds was performed. The population structure analysis revealed that Jianli pigs have close genetic relationships with the Tongcheng pig breed, their geographical neighbors. Three methods (observed heterozygosity, expected heterozygosity, and runs of homozygosity) implied a relatively high level of genetic diversity and, a low inbreeding coefficient in Jianli compared with other pigs. We used Fst and XP-EHH to detect the selection signatures in Jianli pigs compared with Asian wild boar. A total of 451 candidate genes influencing meat quality (CREBBP, ADCY9, EEPD1 and HDAC9), reproduction (ESR1 and FANCA), and coat color (EDNRB, MITF and MC1R), were detected by gene annotation analysis. Finally, to fine-map the genomic region for the two-end black (TEB) coat color phenotype in Jianli pigs, we performed three signature selection methods between the TEB coat color and no-TEB coat color pig breeds. The current study, further confirmed that the EDNRB gene is a candidate gene for TEB color phenotype found in Chinese pigs, including Jinhua pigs, and the haplotype harboring 25 SNPs in the EDNRB gene may promote the formation of TEB coat color. Further ATAC-seq and luciferase reporter assays of these regions suggest that the 25-SNPs region was a strong candidate causative mutation that regulates the TEB coat color phenotype by altering enhancer function. CONCLUSION Our results advanced the understanding of the genetic mechanism behind artificial selection, and provided further resources for the protection and breeding improvement of Jianli pigs.
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Affiliation(s)
- Zhong Xu
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Junjing Wu
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Yu Zhang
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Mu Qiao
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Jiawei Zhou
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Yue Feng
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Zipeng Li
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Hua Sun
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Ruiyi Lin
- (College of Animal Sciences, College of Bee Science), Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Zhongxu Song
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Haizhong Zhao
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Lianghua Li
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Nanqi Chen
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | - Yujie Li
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China
| | | | - Xianwen Peng
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China.
- Hubei Hongshan Laboratory, Wuhan, 430064, China.
| | - Shuqi Mei
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, 430064, China.
- Hubei Hongshan Laboratory, Wuhan, 430064, China.
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Zheng H, Xiong SY, Xiao SJ, Zhang ZK, Tu JM, Cui DS, Yu NB, Huang ZY, Li LY, Guo YM. Association between MC1R gene and coat color segregation in Shanxia long black pig and Lulai black pig. BMC Genom Data 2023; 24:74. [PMID: 38036989 PMCID: PMC10691012 DOI: 10.1186/s12863-023-01161-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 09/20/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Coat color, as a distinct phenotypic characteristic of pigs, is often subject to preference and selection, such as in the breeding process of new breed. Shanxia long black pig was derived from an intercross between Berkshire boars and Licha black pig sows, and it was bred as a paternal strain with high-quality meat and black coat color. Although the coat color was black in the F1 generation of the intercross, it segregated in the subsequent generations. This study aims to decode the genetic basis of coat color segregation and develop a method to distinct black pigs from the spotted in Shanxia long black pig. RESULTS Only a QTL was mapped at the proximal end of chromosome 6, and MC1R gene was picked out as functional candidate gene. A total of 11 polymorphic loci were identified in MC1R gene, and only the c.67_68insCC variant was co-segregating with coat color. This locus isn't recognized by any restriction endonuclease, so it can't be genotyped by PCR-RFLP. The c.370G > A polymorphic locus was also significantly associated with coat color, and has been in tightly linkage disequilibrium with the c.67_68insCC. Furthermore, it is recognized by BspHI. Therefore, a PCR-RFLP method was set up to genotype this locus. Besides the 175 sequenced individuals, another more 1,391 pigs were genotyped with PCR-RFLP, and all of pigs with GG (one band) were black. CONCLUSION MC1R gene (c.67_68insCC) is the causative gene (mutation) for the coat color segregation, and the PCR-RFLP of c.370G > A could be used in the breeding program of Shanxia long black pig.
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Affiliation(s)
- Hao Zheng
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - San-Ya Xiong
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Shi-Jun Xiao
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Ze-Kai Zhang
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Jin-Min Tu
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - Deng-Shuai Cui
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Nai-Biao Yu
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Zhi-Yong Huang
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - Long-Yun Li
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
- The College of Life Science, Nanchang Normal University, Nanchang, Jiangxi, 330045, China.
| | - Yuan-Mei Guo
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
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Giovannini S, Strillacci MG, Bagnato A, Albertini E, Sarti FM. Genetic and Phenotypic Characteristics of Belted Pig Breeds: A Review. Animals (Basel) 2023; 13:3072. [PMID: 37835678 PMCID: PMC10571877 DOI: 10.3390/ani13193072] [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: 08/01/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Belted pig breeds have unique, distinguishing phenotypic characteristics. This review summarises the current knowledge on pig breeds displaying a belted coat pattern. Belts of different widths and positions around the animal's trunk characterise specific pig breeds from all around the world. All the breeds included in the present paper have been searched through the FAO domestic animal diversity information system (DAD-IS), Every country was checked to identify all breeds described as having black or red piebald coat pattern variations. Advances in genomic technologies have made it possible to identify the specific genes and genetic markers associated with the belted phenotype and explore the genetic relationships between different local breeds. Thus, the origin, history, and production traits of these breeds, together with all the genomic information related to the mechanism of skin pigmentation, are discussed. By increasing our understanding of these breeds, we can appreciate the richness of our biological and cultural heritage and work to preserve the biodiversity of the world's animals.
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Affiliation(s)
- Samira Giovannini
- Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy; (E.A.); (F.M.S.)
| | - Maria Giuseppina Strillacci
- Department of Veterinary and Animal Science, Università degli Studi di Milano, Via Dell’Università 6, 26900 Lodi, Italy; (M.G.S.); (A.B.)
| | - Alessandro Bagnato
- Department of Veterinary and Animal Science, Università degli Studi di Milano, Via Dell’Università 6, 26900 Lodi, Italy; (M.G.S.); (A.B.)
| | - Emidio Albertini
- Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy; (E.A.); (F.M.S.)
| | - Francesca Maria Sarti
- Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy; (E.A.); (F.M.S.)
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Fontanesi L. Genetics and genomics of pigmentation variability in pigs: A review. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Du Z, D’Alessandro E, Zheng Y, Wang M, Chen C, Wang X, Song C. Retrotransposon Insertion Polymorphisms (RIPs) in Pig Coat Color Candidate Genes. Animals (Basel) 2022; 12:ani12080969. [PMID: 35454216 PMCID: PMC9031378 DOI: 10.3390/ani12080969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/28/2022] [Accepted: 04/05/2022] [Indexed: 12/17/2022] Open
Abstract
The diversity of livestock coat color results from human positive selection and represents an indispensable part of breed identity. As an important biodiversity resource, pigs have many special characteristics, including the most visualized feature, coat color, and excellent adaptation, and the coat color represents an important phenotypic characteristic of the pig breed. Exploring the genetic mechanisms of phenotypic characteristics and the melanocortin system is of considerable interest in domestic animals because their energy metabolism and pigmentation have been under strong selection. In this study, 20 genes related to coat color in mammals were selected, and the structural variations (SVs) in these genic regions were identified by sequence alignment across 17 assembled pig genomes, from representing different types of pigs (miniature, lean, and fat type). A total of 167 large structural variations (>50 bp) of coat-color genes, which overlap with retrotransposon insertions (>50 bp), were obtained and designated as putative RIPs. Finally, 42 RIPs were confirmed by PCR detection. Additionally, eleven RIP sites were further evaluated for their genotypic distributions by PCR in more individuals of eleven domesticated breeds representing different coat color groups. Differential distributions of these RIPs were observed across populations, and some RIPs may be associated with breed differences.
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Affiliation(s)
- Zhanyu Du
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Z.D.); (Y.Z.); (M.W.); (C.C.); (X.W.)
| | - Enrico D’Alessandro
- Department of Veterinary Sciences, University of Messina, Via Palatucci, 98168 Messina, Italy;
| | - Yao Zheng
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Z.D.); (Y.Z.); (M.W.); (C.C.); (X.W.)
| | - Mengli Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Z.D.); (Y.Z.); (M.W.); (C.C.); (X.W.)
| | - Cai Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Z.D.); (Y.Z.); (M.W.); (C.C.); (X.W.)
| | - Xiaoyan Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Z.D.); (Y.Z.); (M.W.); (C.C.); (X.W.)
| | - Chengyi Song
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Z.D.); (Y.Z.); (M.W.); (C.C.); (X.W.)
- Correspondence:
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6
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Hou N, Du X, Wu S. Advances in pig models of human diseases. Animal Model Exp Med 2022; 5:141-152. [PMID: 35343091 PMCID: PMC9043727 DOI: 10.1002/ame2.12223] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 02/14/2022] [Accepted: 03/02/2022] [Indexed: 01/07/2023] Open
Abstract
Animal models of human diseases play a critical role in medical research. Pigs are anatomically and physiologically more like humans than are small rodents such as mice, making pigs an attractive option for modeling human diseases. Advances in recent years in genetic engineering have facilitated the rapid rise of pig models for use in studies of human disease. In the present review, we summarize the current status of pig models for human cardiovascular, metabolic, neurodegenerative, and various genetic diseases. We also discuss areas that need to be improved. Animal models of human diseases play a critical role in medical research. Advances in recent years in genetic engineering have facilitated the rapid rise of pig models for use in studies of human disease. In the present review, we summarize the current status of pig models for human cardiovascular, metabolic, neurodegenerative, various genetic diseases and xenotransplantation.
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Affiliation(s)
- Naipeng Hou
- College of Animal Science and Technology, China Agricultural University, Beijing, China.,Sanya Institute of China Agricultural University, Sanya, China
| | - Xuguang Du
- Sanya Institute of China Agricultural University, Sanya, China.,State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Sen Wu
- College of Animal Science and Technology, China Agricultural University, Beijing, China.,Sanya Institute of China Agricultural University, Sanya, China.,State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
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Nosková A, Bhati M, Kadri NK, Crysnanto D, Neuenschwander S, Hofer A, Pausch H. Characterization of a haplotype-reference panel for genotyping by low-pass sequencing in Swiss Large White pigs. BMC Genomics 2021; 22:290. [PMID: 33882824 PMCID: PMC8061004 DOI: 10.1186/s12864-021-07610-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/13/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The key-ancestor approach has been frequently applied to prioritize individuals for whole-genome sequencing based on their marginal genetic contribution to current populations. Using this approach, we selected 70 key ancestors from two lines of the Swiss Large White breed that have been selected divergently for fertility and fattening traits and sequenced their genomes with short paired-end reads. RESULTS Using pedigree records, we estimated the effective population size of the dam and sire line to 72 and 44, respectively. In order to assess sequence variation in both lines, we sequenced the genomes of 70 boars at an average coverage of 16.69-fold. The boars explained 87.95 and 95.35% of the genetic diversity of the breeding populations of the dam and sire line, respectively. Reference-guided variant discovery using the GATK revealed 26,862,369 polymorphic sites. Principal component, admixture and fixation index (FST) analyses indicated considerable genetic differentiation between the lines. Genomic inbreeding quantified using runs of homozygosity was higher in the sire than dam line (0.28 vs 0.26). Using two complementary approaches, we detected 51 signatures of selection. However, only six signatures of selection overlapped between both lines. We used the sequenced haplotypes of the 70 key ancestors as a reference panel to call 22,618,811 genotypes in 175 pigs that had been sequenced at very low coverage (1.11-fold) using the GLIMPSE software. The genotype concordance, non-reference sensitivity and non-reference discrepancy between thus inferred and Illumina PorcineSNP60 BeadChip-called genotypes was 97.60, 98.73 and 3.24%, respectively. The low-pass sequencing-derived genomic relationship coefficients were highly correlated (r > 0.99) with those obtained from microarray genotyping. CONCLUSIONS We assessed genetic diversity within and between two lines of the Swiss Large White pig breed. Our analyses revealed considerable differentiation, even though the split into two populations occurred only few generations ago. The sequenced haplotypes of the key ancestor animals enabled us to implement genotyping by low-pass sequencing which offers an intriguing cost-effective approach to increase the variant density over current array-based genotyping by more than 350-fold.
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Affiliation(s)
- Adéla Nosková
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland.
| | - Meenu Bhati
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland
| | | | - Danang Crysnanto
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland
| | | | | | - Hubert Pausch
- Animal Genomics, ETH Zürich, Eschikon 27, 8315, Lindau, Switzerland
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8
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Zhang W, Yang M, Zhou M, Wang Y, Wu X, Zhang X, Ding Y, Zhao G, Yin Z, Wang C. Identification of Signatures of Selection by Whole-Genome Resequencing of a Chinese Native Pig. Front Genet 2020; 11:566255. [PMID: 33093844 PMCID: PMC7527633 DOI: 10.3389/fgene.2020.566255] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 08/20/2020] [Indexed: 12/03/2022] Open
Abstract
Identification of genomic signatures of selection that help reveal genetic mechanisms underlying traits in domesticated pigs is of importance. Anqing six-end-white pig (ASP), a representative of the native breeds in China, has many distinguishing phenotypic characteristics. To identify the genomic signatures of selection of the ASP, whole-genome sequencing of 20 ASPs produced 469.01 Gb of sequence data and more than 26 million single-nucleotide polymorphisms. Combining these data with the available whole genomes of 13 Chinese wild boars, 157 selected regions harboring 48 protein-coding genes were identified by applying the polymorphism levels (θπ) and genetic differentiation (FST) based cross approaches. The genes found to be positively selected in ASP are involved in crucial biological processes such as coat color (MC1R), salivary secretion (STATH), reproduction (SPIRE2, OSBP2, LIMK2, FANCA, and CABS1), olfactory transduction (OR5K4), and growth (NPY1R, NPY5R, and SELENOM). Our research increased the knowledge of ASP phenotype-related genes and help to improve our understanding of the underlying biological mechanisms and provide valuable genetic resources that enable effective use of pigs in agricultural production.
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Affiliation(s)
- Wei Zhang
- Key Laboratory of Pig Molecular Quantitative Genetics of Anhui Academy of Agricultural Sciences, Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Min Yang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Mei Zhou
- Key Laboratory of Pig Molecular Quantitative Genetics of Anhui Academy of Agricultural Sciences, Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Yuanlang Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Xudong Wu
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Xiaodong Zhang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Yueyun Ding
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Guiying Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Zongjun Yin
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Chonglong Wang
- Key Laboratory of Pig Molecular Quantitative Genetics of Anhui Academy of Agricultural Sciences, Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, China
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Shen X, Wang Y, Cui C, Zhao X, Li D, Zhu Q, Jiang X, Yang C, Qiu M, Yu C, Li Q, Du H, Zhang Z, Yin H. Detection of Snps in the Melanocortin 1-Receptor (MC1R) and Its Association with Shank Color Trait in Hs Chicken. BRAZILIAN JOURNAL OF POULTRY SCIENCE 2019. [DOI: 10.1590/1806-9061-2018-0845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- X Shen
- Sichuan Agricultural University, China
| | - Y Wang
- Sichuan Agricultural University, China
| | - C Cui
- Sichuan Agricultural University, China
| | - X Zhao
- Sichuan Agricultural University, China
| | - D Li
- Sichuan Agricultural University, China
| | - Q Zhu
- Sichuan Agricultural University, China
| | - X Jiang
- Sichuan Animal Science Academy, China
| | - C Yang
- Sichuan Animal Science Academy, China
| | - M Qiu
- Sichuan Animal Science Academy, China
| | - C Yu
- Sichuan Animal Science Academy, China
| | - Q Li
- Sichuan Animal Science Academy, China
| | - H Du
- Sichuan Animal Science Academy, China
| | - Z Zhang
- Sichuan Animal Science Academy, China
| | - H Yin
- Sichuan Agricultural University, China
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