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Wang H, Twumasi G, Xu Q, Xi Y, Qi J, Yang Z, Shen Z, Bai L, Li L, Liu H. Identification of candidate genes associated with primary feathers of tianfu nonghua ducks based on Genome-wide association studies. Poult Sci 2024; 103:103985. [PMID: 38968866 PMCID: PMC11269910 DOI: 10.1016/j.psj.2024.103985] [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: 01/22/2024] [Revised: 05/30/2024] [Accepted: 06/11/2024] [Indexed: 07/07/2024] Open
Abstract
The primary feathers of ducks have important economic value in the poultry industry. This study quantified the primary feather phenotype of Nonghua ducks, including the primary feathers' length, area, distribution of black spots, and feather symmetry. And genome-wide association analysis was used to screen candidate genes that affect the primary feather traits. The genome-wide association study (GWAS) results identified the genetic region related to feather length (FL) on chromosome 2. Through Linkage disequilibrium (LD) analysis, candidate regions (chr2: 115,246,393-116,501,448 bp) were identified and were further annotated to 5 genes: MRS2, GPLD1, ALDH5A1, KIAA0319, and ATP9B. Secondly, candidate regions related to feather black spots were identified on chromosome 21. Through LD analysis, the candidate regions (chr21: 163,552-2,183,853 bp) were screened and further annotated to 47 genes. Among them, STK4, CCN5, and YWHAB genes were related to melanin-related pathways or pigment deposition, which may be key genes affecting the distribution of black spots on feathers. In addition, we also screened 125 genes on multiple chromosomes that may be related to feather symmetry. Among them, significant SNPs on chromosome 1 were further identified as candidate regions (chr1: 142,118,209-142,223,605 bp) through LD analysis and annotated into 2 genes, TGFBRAP1 and LOC113839965. These results reported the genetic basis of the primary feather from multiple phenotypes, and offered valuable insights into the genetic basis for the growth and development of duck feathers and feather color pattern.
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Affiliation(s)
- Huazhen Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Grace Twumasi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Qian Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Yang Xi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Jingjing Qi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Zhao Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Zhengyang Shen
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Lili Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Liang Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Hehe Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China.
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Zhang Y, Li X, Guo Q, Wang Z, Jiang Y, Yuan X, Chen G, Chang G, Bai H. Genome-wide association study reveals 2 copy number variations associated with the variation of plumage color in the white duck hybrid population. Poult Sci 2024; 103:104107. [PMID: 39094499 PMCID: PMC11342262 DOI: 10.1016/j.psj.2024.104107] [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: 05/17/2024] [Revised: 07/05/2024] [Accepted: 07/13/2024] [Indexed: 08/04/2024] Open
Abstract
Plumage color is an intuitive external poultry characteristic with rich manifestations and complex genetic mechanisms. In our previous study, we observed that there were more dark variations in plumage color in the F2 population derived from the hybridization of 2 white duck varieties. Therefore, based on the statistics of plumage color of 308 F2 populations, we further used the resequencing data of these individuals to detect copy number variations (CNVs) in the whole genome and conducted genome-wide association studies (GWAS) to determine the genetic basis related to plumage color traits. The CNV detection revealed 9,337 CNVs, with an average length of 15,950 bp and a total length of 142.02 MB, accounting for approximately 12.91% of the reference genome. The CNV distribution on the chromosomes was relatively uniform, and the number of CNVs on each chromosome positively correlated with the length of the chromosome. In the pure black plumage group, 2,101 CNVs were only identified, and 1,714 were specifically identified in the pure white plumage group. Ten CNVs were randomly selected for validation using quantitative real-time PCR, and 9 CNVs had the same CNV types as predicted, with an accuracy of 90%. Based on GWAS, we identified 2 CNVs potentially associated with plumage color variations, with the associated CNV regions covering 9 genes. Enrichment analysis of these 9 candidate genes showed significant enrichment of 3 pathways (ribosome biogenesis in eukaryotes, RNA transport, and protein export) and 17 gene ontology terms. Among these, VWA5A can downregulate MITF by binding to the regulatory factors SOX10. The occurrence of CNV may indirectly contribute to duck plumage color variation by affecting the regulatory factors of the switch gene MITF in the melanogenesis pathway. These findings have improved the understanding of the genetic basis of duck plumage color variation and have been beneficial for developing and using plumage color traits in subsequent poultry breeding.
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Affiliation(s)
- Yi Zhang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China; Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xiaofan Li
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China; Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Qixin Guo
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Zhixiu Wang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Yong Jiang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xiaoya Yuan
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Guohong Chen
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China; Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Guobin Chang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China; Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China.
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Wang Z, Guo Z, Mou Q, Liu H, Liu D, Tang H, Hou S, Schroyen M, Zhou Z. Unique feather color characteristics and transcriptome analysis of hair follicles in Liancheng White ducks. Poult Sci 2024; 103:103794. [PMID: 38718539 PMCID: PMC11097064 DOI: 10.1016/j.psj.2024.103794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/19/2024] [Accepted: 04/20/2024] [Indexed: 05/19/2024] Open
Abstract
Avian feather color is a fascinating trait, and the genetic mechanism of duck plumage formation is still in the preliminary stage. In this study, feather color of Liancheng White ducks was analyzed by determination of melanin content and RNA-seq analysis. In this research, 9 ducks from Mallards (n = 3), Liancheng White (n = 3) and Pekin ducks (n = 3) were used by high performance liquid chromatography (HPLC) and Masson-Fontana staining to reveal the difference of feather melanin content. RNA-seq from 11 hair follicle tissues (1- and 8-wk-old) of Liancheng White ducks (n = 5) and Pekin ducks (n = 7) was used to analyze the candidate genes for the feather melanin synthesis, and Immunofluorescence experiment was used to show the protein expression in 6 black- and white-feathered ducks. Pectorale, skin, liver, fat, brain, heart, kidney, lung, spleen of an 8-wk-old black-feathered Mallard were collected for candidate gene expression. The results showed that the contents of feathers, beak, web melanin in Liancheng White ducks were higher than in Pekin ducks (p < 0.05). Melanin within hair follicles was located in the barb ridge and hair matrix of black feather duck, also we found that TYRP1, TYR, SOX10 genes were differentially expressed between Liancheng White and Pekin ducks (p < 0.05), and these genes were mainly expressed showed in duck skin tissues. This study revealed the unique feather color phenotype of Liancheng White duck shedding light on the transcriptome that underlies it.
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Affiliation(s)
- Zhen Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China; Precision Livestock and Nutrition Unit, Gembloux Agro-Bio Tech, TERRA Teaching and Research Centre, University of Liège, Gembloux 5030, Belgium
| | - Zhanbao Guo
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Qiming Mou
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Hongfei Liu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Dapeng Liu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Hehe Tang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Martine Schroyen
- Precision Livestock and Nutrition Unit, Gembloux Agro-Bio Tech, TERRA Teaching and Research Centre, University of Liège, Gembloux 5030, Belgium
| | - Zhengkui Zhou
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
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Han X, Yang Q, Lu Y, Xu M, Tao Q, Jiang S, He X, Bai Y, Zhang T, Bai L, Hu J, Zhu Y, Liu H, Li L. Genome-wide association study reveals the candidate genes of humerus quality in laying duck. Poult Sci 2024; 103:103851. [PMID: 38806002 PMCID: PMC11154710 DOI: 10.1016/j.psj.2024.103851] [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: 02/24/2024] [Revised: 04/30/2024] [Accepted: 05/09/2024] [Indexed: 05/30/2024] Open
Abstract
Bone plays a crucial role in poultry's health and production. However, during the selection and cage farming, there has been a decline in bone quality. As the development of breeding theory, researchers find that it's possible to enhance bone quality through selective breeding.This study measure 8 humerus quality in 260 samples of the 350-day-old female duck. By descripting the basic characteristic traits, mechanical property traits we found that all the bone quality traits had a large variable coefficient, especially mechanical properties trait (20-70%), indicating that there was a large difference in bone health status among laying ducks. The phenotypic correlations showed a high correlation between weight and density, diameter and perimeter, breaking and toughness (r = 0.52-0.68). And then, we performed the Genome-wide association study (GWAS) to reveal the candidate genes of humerus quality in ducks. Seven candidate protein-coding genes were identified with perimeter trait, and 52 protein-coding genes were associated with toughness trait. We also analysed the candidate region and performed KEGG and GO analyse for 75 candidate genes. Furthermore, the expression analyse of the above candidate genes in different stage of humerus and different tissues were performed. Finally, AP2A2, SMAD3, SMNDC1, NFIA, EPHB2, PMEPA1, UNC5C, ESR1, VAV3, NFATC2 deserve further focus. The obtained results can contribute to new insight into bone quality and provide new genetic biomarkers for application in duck breeding programs.
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Affiliation(s)
- Xu Han
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Qinglan Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Yinjuan Lu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Mengru Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Qiuyu Tao
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Shuaixue Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Xinxin He
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Yuan Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Tao Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Lili Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Jiwei Hu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Yuanchun Zhu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - HeHe Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China
| | - Liang Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, PR China.
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Wang H, Wang X, Yang Y, Zhu Y, Wang S, Chen Q, Yan D, Dong X, Li M, Lu S. Genome-wide identification of quantitative trait loci and candidate genes for seven carcass traits in a four-way intercross porcine population. BMC Genomics 2024; 25:582. [PMID: 38858624 PMCID: PMC11165779 DOI: 10.1186/s12864-024-10484-y] [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: 07/04/2023] [Accepted: 05/30/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Carcass traits are essential economic traits in the commercial pig industry. However, the genetic mechanism of carcass traits is still unclear. In this study, we performed a genome-wide association study (GWAS) based on the specific-locus amplified fragment sequencing (SLAF-seq) to study seven carcass traits on 223 four-way intercross pigs, including dressing percentage (DP), number of ribs (RIB), skin thinkness (ST), carcass straight length (CSL), carcass diagonal length (CDL), loin eye width (LEW), and loin eye thickness (LET). RESULTS A total of 227,921 high-quality single nucleotide polymorphisms (SNPs) were detected to perform GWAS. A total of 30 SNPs were identified for seven carcass traits using the mixed linear model (MLM) (p < 1.0 × 10- 5), of which 9 SNPs were located in previously reported quantitative trait loci (QTL) regions. The phenotypic variation explained (PVE) by the significant SNPs was from 2.43 to 16.32%. Furthermore, 11 candidate genes (LYPLAL1, EPC1, MATN2, ZFAT, ZBTB10, ZNF704, INHBA, SMYD3, PAK1, SPTBN2, and ACTN3) were found for carcass traits in pigs. CONCLUSIONS The GWAS results will improve our understanding of the genetic basis of carcass traits. We hypothesized that the candidate genes associated with these discovered SNPs would offer a biological basis for enhancing the carcass quality of pigs in swine breeding.
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Affiliation(s)
- Huiyu Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
- Faculty of Animal Science, Xichang University, Xichang, Sichuan, 615000, China
| | - Xiaoyi Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Yongli Yang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Yixuan Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Shuyan Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Qiang Chen
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Mingli Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
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Deng Y, Qu X, Yao Y, Li M, He C, Guo S. Investigating the impact of pigmentation variation of breast muscle on growth traits, melanin deposition, and gene expression in Xuefeng black-bone chickens. Poult Sci 2024; 103:103691. [PMID: 38598910 PMCID: PMC11017053 DOI: 10.1016/j.psj.2024.103691] [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: 01/14/2024] [Revised: 03/17/2024] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
The blackness traits, considered an important economic factor in the black-bone chicken industry, still exhibits a common phenomenon of significant difference in blackness of breast muscle. To improve this phenomenon, this study compared growth traits, blackness traits, and transcriptome of breast muscles between the High Blackness Group (H group) and Low Blackness Group (L group) in the Xuefeng black-bone chickens. The results are as follows: 1) There was no significant difference in growth traits between the H group and the L group (P > 0.05). 2) The skin/breast muscle L values in the H group were significantly lower than those in the L group, while the breast muscle melanin content exhibited the opposite trend (P < 0.05). 3) A significant negative correlation was observed between breast muscle melanin content and skin/breast muscle L value (P < 0.05), and skin L value exhibiting a significant positive correlation with breast muscle L value (P < 0.05). 4) The breast muscle transcriptome comparison between the H group and L group revealed 831 and 405 DEGs in female and male chickens, respectively. This included 37 shared DEGs significantly enriched in melanosome, pigment granule, and the melanogenesis pathway. Seven candidate genes (DCT, PMEL, MLANA, TYRP1, OCA2, EDNRB2, and CALML4) may play a crucial role in the melanin production of breast muscle in Xuefeng black-bone chicken. The findings could accelerate the breeding process for achieving desired levels of breast muscle blackness and contribute to the exploration of the mechanisms underlying melanin production in black-bone chickens.
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Affiliation(s)
- Yuying Deng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Xiangyong Qu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Yaling Yao
- Animal Husbandry and Aquatic Products Bureau of Huaihua City, Huaihua 418200, Hunan, China
| | - Meichun Li
- Hunan Yunfeifeng Agriculture Co. Ltd., Huaihua 418200, Hunan, China
| | - Changqing He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Songchang Guo
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, Hunan, China.
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Liu Y, Li G, Guo Z, Zhang H, Wei B, He D. Transcriptome analysis of sexual dimorphism in dorsal down coloration in goslings. BMC Genomics 2024; 25:505. [PMID: 38778258 PMCID: PMC11110362 DOI: 10.1186/s12864-024-10394-z] [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: 11/10/2023] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND In day-old Hungarian white goose goslings, there is a noticeable difference in dorsal down coloration between males and females, with females having darker dorsal plumage and males having lighter plumage. The ability to autosex day-old goslings based on their dorsal down coloration is important for managing them efficiently and planning their nutrition in the poultry industry. The aim of this study was to determine the biological and genetic factors underlying this difference in dorsal down colorationthrough histological analysis, biochemical assays, transcriptomic profiling, and q‒PCR analysis. RESULTS Tissue analysis and biochemical assays revealed that compared with males, 17-day-old embryos and day-old goslings of female geese exhibited a greater density of melanin-containing feather follicles and a greater melanin concentration in these follicles during development. Both female and male goslings had lower melanin concentrations in their dorsal skin compared to 17-day-old embryos. Transcriptome analysis identified a set of differentially expressed genes (DEGs) (MC1R, TYR, TYRP1, DCT and MITF) associated with melanogenesis pathways that were downregulated or silenced specifically in the dorsal skin of day-old goslings compared to 17-day-old embryos, affecting melanin synthesis in feather follicles. Additionally, two key genes (MC1R and MITF) associated with feather coloration showed differences between males and females, with females having higher expression levels correlated with increased melanin synthesis and darker plumage. CONCLUSION The expression of multiple melanogenesis genes determines melanin synthesis in goose feather follicles. The dorsal down coloration of day-old Hungarian white goose goslings shows sexual dimorphism, likely due to differences in the expression of the MC1R and MITF genes between males and females. These results could help us better understand why male and female goslings exhibit different plumage patterns.
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Affiliation(s)
- Yi Liu
- Shanghai Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Science, Shanghai, China
| | - Guangquan Li
- Shanghai Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Science, Shanghai, China
| | - Zhanbao Guo
- Chinese Academy of Agricultural Sciences, Institute of Animal Sciences, Beijing, China
| | - Huiling Zhang
- Shandong Rongda Agricultural Development Co., Ltd, Shandong, China
| | - Baozhi Wei
- Shandong Rongda Agricultural Development Co., Ltd, Shandong, China
| | - Daqian He
- Shanghai Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Science, Shanghai, China.
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Sun GB, Lu YF, Duan XJ. Exploration of the genetic influence of MYOT and MB genes on the plumage coloration of Muscovy ducks. Open Life Sci 2024; 19:20220836. [PMID: 38585635 PMCID: PMC10998670 DOI: 10.1515/biol-2022-0836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 04/09/2024] Open
Abstract
Plumage color, a pivotal attribute delineating diverse Muscovy duck strains, assumes considerable significance within the field of Muscovy duck breeding research. This study extends the existing research by delving into the hereditary aspects of genes associated with plumage coloration in Muscovy ducks. The principal objective is to discern marker genes conducive to targeted breeding strategies based on plumage color, thereby furnishing indispensable technical foundations for the development of novel Muscovy duck varieties. Our investigation focused on scrutinizing the impact of MYOT and MB genes on the genetic expression of plumage color at both the RNA and protein levels in Muscovy ducks. The results elucidate that black Muscovy ducks manifest markedly elevated mRNA and protein expression levels of MYOT and MB genes in comparison to their white counterparts, indicating that both genes may play a constructive regulatory role in the context of plumage coloration in Muscovy ducks. The outcomes of this study delineate a discernible correlation between MYOT and MB genes and the plumage coloration in Muscovy ducks. Employing gene expression analysis, we successfully identified candidate genes that may be intricately linked to the determination of plumage color in these ducks.
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Affiliation(s)
- Guo-Bo Sun
- College of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, No. 8 of Fenghuang East Road, Hailing District, Taizhou City, Jiangsu Province, 225300, China
| | - Yan-Feng Lu
- College of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, No. 8 of Fenghuang East Road, Hailing District, Taizhou City, Jiangsu Province, 225300, China
| | - Xiu-Jun Duan
- College of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, No. 8 of Fenghuang East Road, Hailing District, Taizhou City, Jiangsu Province, 225300, China
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9
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Twumasi G, Wang H, Xi Y, Qi J, Li L, Bai L, Liu H. Genome-Wide Association Studies Reveal Candidate Genes Associated with Pigmentation Patterns of Single Feathers of Tianfu Nonghua Ducks. Animals (Basel) 2023; 14:85. [PMID: 38200816 PMCID: PMC10778472 DOI: 10.3390/ani14010085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 01/12/2024] Open
Abstract
In modern advanced genetics and breeding programs, the study of genes related to pigmentation in ducks is gaining much attention and popularity. Genes and DNA mutation cause variations in the plumage color traits of ducks. Therefore, discovering related genes responsible for different color traits and pigment patterns on each side of the single feathers in Chinese ducks is important for genetic studies. In this study, we collected feather images from 340 ducks and transported them into Image Pro Plus (IPP) 6.0 software to quantify the melanin content in the feathers. Thereafter, a genome-wide association study was conducted to reveal the genes responsible for variations in the feather color trait. The results from this study revealed that the pigmented region was larger in the male ducks as compared to the female ducks. In addition, the pigmented region was larger on the right side of the feather vane than on the left side in both dorsal and ventral feathers, and a positive correlation was observed among the feather color traits. Further, among the annotated genes, WNT3A, DOCK1, RAB1A, and ALDH1A3 were identified to play important roles in the variation in pigmented regions of the various feathers. This study also revealed that five candidate genes, including DPP8, HACD3, INTS14, SLC24A1, and DENND4A, were associated with the color pigment on the dorsal feathers of the ducks. Genes such as PRKG1, SETD6, RALYL, and ZNF704 reportedly play important roles in ventral feather color traits. This study revealed that genes such as WNT3A, DOCK1, RAB1A, and ALDH1A3 were associated with different pigmentation patterns, thereby providing new insights into the genetic mechanisms of single-feather pigmentation patterns in ducks.
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Affiliation(s)
- Grace Twumasi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Huazhen Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yang Xi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Jingjing Qi
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Liang Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Hehe Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (G.T.); (H.W.); (Y.X.); (J.Q.); (L.L.); (L.B.)
- Farm Animal Genetic Resources Exploration and Innovation, Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
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10
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Maclary ET, Wauer R, Phillips B, Brown A, Boer EF, Samani AM, Shapiro MD. An allelic series at the EDNRB2 locus controls diverse piebalding patterns in the domestic pigeon. PLoS Genet 2023; 19:e1010880. [PMID: 37862332 PMCID: PMC10588866 DOI: 10.1371/journal.pgen.1010880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/25/2023] [Indexed: 10/22/2023] Open
Abstract
Variation in pigment patterns within and among vertebrate species reflects underlying changes in cell migration and function that can impact health, reproductive success, and survival. The domestic pigeon (Columba livia) is an exceptional model for understanding the genetic changes that give rise to diverse pigment patterns, as selective breeding has given rise to hundreds of breeds with extensive variation in plumage color and pattern. Here, we map the genetic architecture of a suite of pigmentation phenotypes known as piebalding. Piebalding is characterized by patches of pigmented and non-pigmented feathers, and these plumage patterns are often breed-specific and stable across generations. Using a combination of quantitative trait locus mapping in F2 laboratory crosses and genome-wide association analysis, we identify a locus associated with piebalding across many pigeon breeds. This shared locus harbors a candidate gene, EDNRB2, that is a known regulator of pigment cell migration, proliferation, and survival. We discover multiple distinct haplotypes at the EDNRB2 locus in piebald pigeons, which include a mix of protein-coding, noncoding, and structural variants that are associated with depigmentation in specific plumage regions. These results identify a role for EDNRB2 in pigment patterning in the domestic pigeon, and highlight how repeated selection at a single locus can generate a diverse array of stable and heritable pigment patterns.
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Affiliation(s)
- Emily T. Maclary
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Ryan Wauer
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Bridget Phillips
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Audrey Brown
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Elena F. Boer
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Atoosa M. Samani
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
| | - Michael D. Shapiro
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, United States of America
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11
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Lavretsky P, Hernández F, Swale T, Mohl JE. Chromosomal-level reference genome of a wild North American mallard (Anas platyrhynchos). G3 (BETHESDA, MD.) 2023; 13:jkad171. [PMID: 37523777 PMCID: PMC10542157 DOI: 10.1093/g3journal/jkad171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 08/02/2023]
Abstract
The mallard (Anas platyrhynchos) is one of the most common, economically, and socially important birds around the world. Mallards were not only an important food source for early humans but eventually becoming intimately linked with people as they were domesticated over the last 2,000 years. To date, mallard genomes are largely reconstructed from samples of domestic or unknown genetic heritage. Here, we report the first high-quality genome assembly and annotation of a genetically vetted wild mallard from North America (NAwild_v1.0). The genome was assembled using a combination of shotgun libraries, proximity ligation Chicago, and Dovetail Hi-C libraries. The final assembly is ∼1.04 Gb in size, with 98.3% of the sequence located in 30 full or nearly full chromosome-level scaffolds, and with a N50/L50 of 79.1 Mb/4 scaffolds. We used a combination of gene prediction and similarity approaches to annotate a total of 23,584 functional genes, of which 19,242 were associated to GO terms. The genome assembly and the set of annotated genes yielded a 95.4% completeness score when compared with the BUSCO aves_odb10 dataset. Next, we aligned 3 previously published mallard genomes to ours, and demonstrate how runs of homozygosity and nucleotide diversity are substantially higher and lower, respectively, to ours and how these artificially changed genomes resulted in profoundly different and biased demographic histories. Our wild mallard assembly not only provides a valuable resource to shed light onto genome evolution, speciation, and other adaptive processes, but also helping with identifying functional genes that have been significantly altered during the domestication process.
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Affiliation(s)
- Philip Lavretsky
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Flor Hernández
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Thomas Swale
- Cantata Bio, 100 Enterprise Way Suite A101, Scotts Valley, CA 95066
| | - Jonathon E Mohl
- Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968, USA
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12
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Elkin J, Martin A, Courtier-Orgogozo V, Santos ME. Analysis of the genetic loci of pigment pattern evolution in vertebrates. Biol Rev Camb Philos Soc 2023; 98:1250-1277. [PMID: 37017088 DOI: 10.1111/brv.12952] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/08/2023] [Accepted: 03/14/2023] [Indexed: 04/06/2023]
Abstract
Vertebrate pigmentation patterns are amongst the best characterised model systems for studying the genetic basis of adaptive evolution. The wealth of available data on the genetic basis for pigmentation evolution allows for analysis of trends and quantitative testing of evolutionary hypotheses. We employed Gephebase, a database of genetic variants associated with natural and domesticated trait variation, to examine trends in how cis-regulatory and coding mutations contribute to vertebrate pigmentation phenotypes, as well as factors that favour one mutation type over the other. We found that studies with lower ascertainment bias identified higher proportions of cis-regulatory mutations, and that cis-regulatory mutations were more common amongst animals harbouring a higher number of pigment cell classes. We classified pigmentation traits firstly according to their physiological basis and secondly according to whether they affect colour or pattern, and identified that carotenoid-based pigmentation and variation in pattern boundaries are preferentially associated with cis-regulatory change. We also classified genes according to their developmental, cellular, and molecular functions. We found a greater proportion of cis-regulatory mutations in genes implicated in upstream developmental processes compared to those involved in downstream cellular functions, and that ligands were associated with a higher proportion of cis-regulatory mutations than their respective receptors. Based on these trends, we discuss future directions for research in vertebrate pigmentation evolution.
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Affiliation(s)
- Joel Elkin
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK
| | - Arnaud Martin
- Department of Biological Sciences, The George Washington University, 800 22nd St. NW, Suite 6000, Washington, DC, 20052, USA
| | | | - M Emília Santos
- Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK
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13
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Maclary ET, Wauer R, Phillips B, Brown A, Boer EF, Samani AM, Shapiro MD. An allelic series at the EDNRB2 locus controls diverse piebalding patterns in the domestic pigeon. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.26.550625. [PMID: 37546953 PMCID: PMC10402103 DOI: 10.1101/2023.07.26.550625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Variation in pigment patterns within and among vertebrate species reflects underlying changes in cell migration and function that can impact health, reproductive success, and survival. The domestic pigeon (Columba livia) is an exceptional model for understanding the genetic changes that give rise to diverse pigment patterns, as selective breeding has given rise to hundreds of breeds with extensive variation in plumage color and pattern. Here, we map the genetic architecture of a suite of pigmentation phenotypes known as piebalding. Piebalding is characterized by patches of pigmented and non-pigmented feathers, and these plumage patterns are often breed-specific and stable across generations. Using a combination of quantitative trait locus mapping in F2 laboratory crosses and genome-wide association analysis, we identify a locus associated with piebalding across many pigeon breeds. This shared locus harbors a candidate gene, EDNRB2, that is a known regulator of pigment cell migration, proliferation, and survival. We discover multiple distinct haplotypes at the EDNRB2 locus in piebald pigeons, which include a mix of protein-coding, noncoding, and structural variants that are associated with depigmentation in specific plumage regions. These results identify a role for EDNRB2 in pigment patterning in the domestic pigeon, and highlight how repeated selection at a single locus can generate a diverse array of stable and heritable pigment patterns.
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Affiliation(s)
- Emily T. Maclary
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Ryan Wauer
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Bridget Phillips
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Audrey Brown
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Elena F. Boer
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Atoosa M. Samani
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Michael D. Shapiro
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
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14
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Wang H, Wang X, Li M, Sun H, Chen Q, Yan D, Dong X, Pan Y, Lu S. Genome-wide association study reveals genetic loci and candidate genes for meat quality traits in a four-way crossbred pig population. Front Genet 2023; 14:1001352. [PMID: 36814900 PMCID: PMC9939654 DOI: 10.3389/fgene.2023.1001352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 01/24/2023] [Indexed: 02/08/2023] Open
Abstract
Meat quality traits (MQTs) have gained more attention from breeders due to their increasing economic value in the commercial pig industry. In this genome-wide association study (GWAS), 223 four-way intercross pigs were genotyped using the specific-locus amplified fragment sequencing (SLAF-seq) and phenotyped for PH at 45 min post mortem (PH45), meat color score (MC), marbling score (MA), water loss rate (WL), drip loss (DL) in the longissimus muscle, and cooking loss (CL) in the psoas major muscle. A total of 227, 921 filtered single nucleotide polymorphisms (SNPs) evenly distributed across the entire genome were detected to perform GWAS. A total of 64 SNPs were identified for six meat quality traits using the mixed linear model (MLM), of which 24 SNPs were located in previously reported QTL regions. The phenotypic variation explained (PVE) by the significant SNPs was from 2.43% to 16.32%. The genomic heritability estimates based on SNP for six meat-quality traits were low to moderate (0.07-0.47) being the lowest for CL and the highest for DL. A total of 30 genes located within 10 kb upstream or downstream of these significant SNPs were found. Furthermore, several candidate genes for MQTs were detected, including pH45 (GRM8), MC (ANKRD6), MA (MACROD2 and ABCG1), WL (TMEM50A), CL (PIP4K2A) and DL (CDYL2, CHL1, ABCA4, ZAG and SLC1A2). This study provided substantial new evidence for several candidate genes to participate in different pork quality traits. The identification of these SNPs and candidate genes provided a basis for molecular marker-assisted breeding and improvement of pork quality traits.
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Affiliation(s)
- Huiyu Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China,Faculty of Animal Science, Xichang University, Xichang, Sichuan, China
| | - Xiaoyi Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Mingli Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Hao Sun
- Faculty of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Qiang Chen
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yuchun Pan
- Faculty of Animal Science, Zhejiang University, Hangzhou, Zhejiang, China,*Correspondence: Yuchun Pan, ; Shaoxiong Lu,
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China,*Correspondence: Yuchun Pan, ; Shaoxiong Lu,
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15
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Sun Y, Wu Q, Lin R, Chen H, Zhang M, Jiang B, Wang Y, Xue P, Gan Q, Shen Y, Chen F, Liu J, Zhou C, Lan S, Pan H, Deng F, Yue W, Lu L, Jiang X, Li Y. Genome-wide association study for the primary feather color trait in a native Chinese duck. Front Genet 2023; 14:1065033. [PMID: 36936414 PMCID: PMC10020179 DOI: 10.3389/fgene.2023.1065033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 02/23/2023] [Indexed: 03/06/2023] Open
Abstract
Background: To reveal candidate genes and the molecular genetic mechanism underlying primary feather color trait in ducks, a genome-wide association study (GWAS) for the primary feather color trait was performed based on the genotyping-by-sequencing (GBS) technology for a native Chinese female duck, Longyan Shan-ma ducks. Methods: Blood genomic DNA from 314 female Longyan Shan-ma duck were genotyped using GBS technology. A GWAS for the primary feather color trait with genome variations was performed using an univariate linear mixed model based on all SNPs in autosomes. Results: Seven genome-wide significant single nucleotide polymorphisms (SNPs, Bonferroni-adjusted p-value <8.03 × 10-7) within the introns of the genes STARD9, ZNF106, SLC7A5, and BANP genes were associated with the primary feather color trait. Twenty-two genome-wide suggestive SNPs (Bonferroni-adjusted p-value <1.61 × 10-5) of 17 genes (besides ZNF106 and SLC7A5) were also identified. Seven SNPs were located at one 0.22 Mb region (38.65-38.87 Mb) on chromosome 5, and six SNPs were located at one 0.31 Mb region (19.53-19.84 Mb) on chromosome 11. The functions of STARD9, SLC7A5, BANP, LOC101798015, and IPMK were involved pigmentation and follicle development, especially, STARD9 upregulated expression in black feather (haplotype-CCCC) bulb tissue compared with in pockmarked feather (haplotype-TGTT) bulb tissue, implicating these genes as candidate genes for primary feather color trait. Conclusion: The preliminarily findings suggested candidate genes and regions, and the genetic basis of primary feather color trait in a female duck.
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Affiliation(s)
- Yanfa Sun
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Qiong Wu
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Rulong Lin
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Hongping Chen
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Min Zhang
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Bingbing Jiang
- Institute of Animal Science and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yaru Wang
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Pengfei Xue
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Qiuyun Gan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Yue Shen
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Feifan Chen
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Jiantao Liu
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Chenxin Zhou
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Shishi Lan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Haozhe Pan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Fan Deng
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Wen Yue
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Lizhi Lu
- Institute of Animal Science and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xiaobing Jiang
- Fujian Provincial Animal Husbandry Headquarters, Fuzhou, Fujian, China
- *Correspondence: Xiaobing Jiang, ; Yan Li,
| | - Yan Li
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
- *Correspondence: Xiaobing Jiang, ; Yan Li,
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16
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Zhao Q, Lin Z, Chen J, Xie Z, Wang J, Feng K, Lin W, Li H, Hu Z, Chen W, Chen F, Junaid M, Zhang H, Xie Q, Zhang X. Chromosome-level genome assembly of goose provides insight into the adaptation and growth of local goose breeds. Gigascience 2022; 12:giad003. [PMID: 36734171 PMCID: PMC9896136 DOI: 10.1093/gigascience/giad003] [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: 01/23/2022] [Revised: 07/04/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Anatidae contains numerous waterfowl species with great economic value, but the genetic diversity basis remains insufficiently investigated. Here, we report a chromosome-level genome assembly of Lion-head goose (Anser cygnoides), a native breed in South China, through the combination of PacBio, Bionano, and Hi-C technologies. FINDINGS The assembly had a total genome size of 1.19 Gb, consisting of 1,859 contigs with an N50 length of 20.59 Mb, generating 40 pseudochromosomes, representing 97.27% of the assembled genome, and identifying 21,208 protein-coding genes. Comparative genomic analysis revealed that geese and ducks diverged approximately 28.42 million years ago, and geese have undergone massive gene family expansion and contraction. To identify genetic markers associated with body weight in different geese breeds, including Wuzong goose, Huangzong goose, Magang goose, and Lion-head goose, a genome-wide association study was performed, yielding an average of 1,520.6 Mb of raw data that detected 44,858 single-mucleotide polymorphisms (SNPs). Genome-wide association study showed that 6 SNPs were significantly associated with body weight and 25 were potentially associated. The significantly associated SNPs were annotated as LDLRAD4, GPR180, and OR, enriching in growth factor receptor regulation pathways. CONCLUSIONS We present the first chromosome-level assembly of the Lion-head goose genome, which will expand the genomic resources of the Anatidae family, providing a basis for adaptation and evolution. Candidate genes significantly associated with different goose breeds may serve to understand the underlying mechanisms of weight differences.
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Affiliation(s)
- Qiqi Zhao
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Zhenping Lin
- Shantou Baisha Research Institute of Original Species of Poultry and Stock, Shantou, Guangdong, 515000, China
| | - Junpeng Chen
- Shantou Baisha Research Institute of Original Species of Poultry and Stock, Shantou, Guangdong, 515000, China
| | - Zi Xie
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
| | - Jun Wang
- College of Marine Sciences, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Keyu Feng
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
| | - Wencheng Lin
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Hongxin Li
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Zezhong Hu
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Weiguo Chen
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Feng Chen
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Muhammad Junaid
- College of Marine Sciences, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Huanmin Zhang
- Avian Disease and Oncology Laboratory, Agriculture Research Service, United States Department of Agriculture, East Lansing, MI 48823, USA
| | - Qingmei Xie
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Xinheng Zhang
- Heyuan Branch, Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Department of Science and Technology of Guangdong Province, Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, 510642, China
- Guangdong Engineering Research Center for Vector Vaccine of Animal Virus, Guangzhou, 510642, China
- Guangdong Provincial Key Lab of AgroAnimal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, 510642, China
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17
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Shi H, Fu J, He Y, Li Z, Kang J, Hu C, Zi X, Liu Y, Zhao J, Dou T, Jia J, Duan Y, Wang K, Ge C. Hyperpigmentation Inhibits Early Skeletal Muscle Development in Tengchong Snow Chicken Breed. Genes (Basel) 2022; 13:genes13122253. [PMID: 36553521 PMCID: PMC9778309 DOI: 10.3390/genes13122253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/27/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
Abstract
Tengchong snow, which has white feathers and black meat, is one of the most important black-bone chicken breeds and a genetic treasure of black food in China. Although the black meat traits are dominant, there are some chickens with white meat traits born in the process of folk selection and breeding. The purpose of this study was to compare the differences in skeletal muscle development between Tengchong snow black meat chickens (BS) and white meat chickens (WS), as well as whether excessive melanin deposition has an effect on skeletal muscle development. The BS and WS groups were selected to determine their muscle development difference at stages of 1, 7, 14, 21, and 42 days, using histological stain methods to analyze the development and composing type of breast and leg muscle fibers, as well as the count of melanin in BS muscle fibers. Finally, we were validated key candidate genes associated with muscle development and melanin synthesis. The results showed that BS breast muscle development was inhibited at 7, 14, and 21 days, while the leg muscle was inhibited at 7, 14, 21, and 42 days, compared to WS. Melanin deposition was present in a temporal migration pattern and was greater in the leg muscles than in the breast muscles, and it focused around blood vessels, as well as the epithelium, perimysium, endomysium, and connective tissue. Additionally, melanin produced an inhibitory effect similar to MSTN during skeletal muscle fiber development, and the inhibition was strongest at the stage of melanin entry between muscle fibers, but the precise mechanisms need to be confirmed. This study revealed that melanin has an inhibitory effect on the early development of skeletal muscle, which will provide new insights into the role of melanin in the black-boned chicken and theoretical references for the future conservation and utilization of black-boned chicken.
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Affiliation(s)
- Hongmei Shi
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jing Fu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yang He
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Zijian Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jiajia Kang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changjie Hu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Xiannian Zi
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yong Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jinbo Zhao
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Tengfei Dou
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Junjing Jia
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yong Duan
- Kunming Animal Health Supervision, 118 Gulou Road, Kunming 650223, China
| | - Kun Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changrong Ge
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
- Correspondence:
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18
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Genome-Wide Association Study of Growth Traits in a Four-Way Crossbred Pig Population. Genes (Basel) 2022; 13:genes13111990. [DOI: 10.3390/genes13111990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/28/2022] [Accepted: 10/28/2022] [Indexed: 11/04/2022] Open
Abstract
Growth traits are crucial economic traits in the commercial pig industry and have a substantial impact on pig production. However, the genetic mechanism of growth traits is not very clear. In this study, we performed a genome-wide association study (GWAS) based on the specific-locus amplified fragment sequencing (SLAF-seq) to analyze ten growth traits on 223 four-way intercross pigs. A total of 227,921 highly consistent single nucleotide polymorphisms (SNPs) uniformly dispersed throughout the entire genome were used to conduct GWAS. A total of 53 SNPs were identified for ten growth traits using the mixed linear model (MLM), of which 18 SNPs were located in previously reported quantitative trait loci (QTL) regions. Two novel QTLs on SSC4 and SSC7 were related to average daily gain from 30 to 60 kg (ADG30–60) and body length (BL), respectively. Furthermore, 13 candidate genes (ATP5O, GHRHR, TRIM55, EIF2AK1, PLEKHA1, BRAP, COL11A2, HMGA1, NHLRC1, SGSM1, NFATC2, MAML1, and PSD3) were found to be associated with growth traits in pigs. The GWAS findings will enhance our comprehension of the genetic architecture of growth traits. We suggested that these detected SNPs and corresponding candidate genes might provide a biological foundation for improving the growth and production performance of pigs in swine breeding.
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Ma S, Li P, Liu H, Xi Y, Xu Q, Qi J, Wang J, Li L, Wang J, Hu J, He H, Han C, Bai L. Genome-wide association analysis of the primary feather growth traits of duck: identification of potential Loci for growth regulation. Poult Sci 2022; 102:102243. [PMID: 36334470 PMCID: PMC9636485 DOI: 10.1016/j.psj.2022.102243] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 10/05/2022] [Accepted: 10/05/2022] [Indexed: 11/28/2022] Open
Abstract
The feather is an important epidermal appendage, plays an important role in the life activities of avian specie, and has important economic value. Revealing the molecular regulation mechanism of feather growth has a significant meaning in studying adaptive evolution, physiology, and mating of avian species and also provides a theoretical reference for poultry breeding. In this study, the genome-wide association analysis (GWAS) of 358 ducks was based on primary feather length phenotypic data (28-60 d), length growth rates (LGRs), and maturity scores (60 d) to explore the genetic basis affecting feather growth and maturation. The results showed that, among the primary feather 1 to 5 in ducks, the mean LGR of primary feather 2 was the fastest, with the longest length. The primary feathers in males grew and matured slightly faster than in females. The mean maturity scores of primary feather 10∼7 were higher than primary feather 1 to 3 in ducks. GWAS further showed 116 SNPs associated with feather length traits. In addition, 2 candidate regions (Chr1: 127,407,230-127,524,879 bp and Chr21: 182,061,707-183,616,298 bp) were associated with LGR, which contain total 13 candidate genes (The extremely significant SNPs were mainly located in 2 genes: Chr1: REPS2 and Chr21: PTPRT). Four candidate regions (Chr1: 29,113,036-28,675,018 bp, Chr2: 18,253,612-149,111,290 bp, Chr15: 6,489,774 to 12,138,221 bp and Chr21: 6,578,021-8,472,904 bp) were associated with feather maturity, which contain total 24 candidate genes (The extremely significant SNPs were mainly located in 4 genes: Chr1: IMMP2L, DOCK4 and DDX10, Chr2: LDLRAD4). In conclusion, sex factors influence feather growth and maturity, and the genetic basis of the growth /maturity trait between different feathers is similar. REPS2, PTPRT genes, and IMMP2L, DOCK4, DDX10, and LDLRAD4 are important candidate genes that influence feather growth and maturity, respectively.
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Affiliation(s)
- Shengchao Ma
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China,College of Animal Science, Xinjiang Agricultural University, P. R. China
| | - Pengcheng Li
- Berry Genomics Corporation, Beijing 100015, P. R. China
| | - Hehe Liu
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China,Corresponding author:
| | - Yang Xi
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Qian Xu
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Jingjing Qi
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Jianmei Wang
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Liang Li
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Jiwen Wang
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Jiwei Hu
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Hua He
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Chunchun Han
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
| | - Lili Bai
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, P. R. China,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, P. R. China
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20
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Wang H, Wang X, Yan D, Sun H, Chen Q, Li M, Dong X, Pan Y, Lu S. Genome-wide association study identifying genetic variants associated with carcass backfat thickness, lean percentage and fat percentage in a four-way crossbred pig population using SLAF-seq technology. BMC Genomics 2022; 23:594. [PMID: 35971078 PMCID: PMC9380336 DOI: 10.1186/s12864-022-08827-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/05/2022] [Indexed: 12/12/2022] Open
Abstract
Background Carcass backfat thickness (BFT), carcass lean percentage (CLP) and carcass fat percentage (CFP) are important to the commercial pig industry. Nevertheless, the genetic architecture of BFT, CLP and CFP is still elusive. Here, we performed a genome-wide association study (GWAS) based on specific-locus amplified fragment sequencing (SLAF-seq) to analyze seven fatness-related traits, including five BFTs, CLP, and CFP on 223 four-way crossbred pigs. Results A total of 227, 921 highly consistent single nucleotide polymorphisms (SNPs) evenly distributed throughout the genome were used to perform GWAS. Using the mixed linear model (MLM), a total of 20 SNP loci significantly related to these traits were identified on ten Sus scrofa chromosomes (SSC), of which 10 SNPs were located in previously reported quantitative trait loci (QTL) regions. On SSC7, two SNPs (SSC7:29,503,670 and rs1112937671) for average backfat thickness (ABFT) exceeded 1% and 10% Bonferroni genome-wide significance levels, respectively. These two SNP loci were located within an intron region of the COL21A1 gene, which was a protein-coding gene that played an important role in the porcine backfat deposition by affecting extracellular matrix (ECM) remodeling. In addition, based on the other three significant SNPs on SSC7, five candidate genes, ZNF184, ZNF391, HMGA1, GRM4 and NUDT3 were proposed to influence BFT. On SSC9, two SNPs for backfat thickness at 6–7 ribs (67RBFT) and one SNP for CLP were in the same locus region (19 kb interval). These three SNPs were located in the PGM2L1 gene, which encoded a protein that played an indispensable role in glycogen metabolism, glycolysis and gluconeogenesis as a key enzyme. Finally, one significant SNP on SSC14 for CLP was located within the PLBD2 gene, which participated in the lipid catabolic process. Conclusions A total of two regions on SSC7 and SSC9 and eight potential candidate genes were found for fatness-related traits in pigs. The results of this GWAS based on SLAF-seq will greatly advance our understanding of the genetic architecture of BFT, CLP, and CFP traits. These identified SNP loci and candidate genes might serve as a biological basis for improving the important fatness-related traits of pigs. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08827-8.
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Affiliation(s)
- Huiyu Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China.,Faculty of Animal Science, Xichang University, Xichang, 615000, Sichuan, China
| | - Xiaoyi Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China
| | - Hao Sun
- Faculty of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qiang Chen
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China
| | - Mingli Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China
| | - Yuchun Pan
- Faculty of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, No. 95 of Jinhei Road, Kunming, 650201, Yunnan, China.
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21
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Guo Q, Jiang Y, Wang Z, Bi Y, Chen G, Bai H, Chang G. Genome-Wide Analysis Identifies Candidate Genes Encoding Beak Color of Duck. Genes (Basel) 2022; 13:genes13071271. [PMID: 35886054 PMCID: PMC9322730 DOI: 10.3390/genes13071271] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 12/04/2022] Open
Abstract
Beak color diversity is a broadly occurring phenomenon in birds. Here, we used ducks to identify candidate genes for yellow, black, and spotted beaks. For this, an F2 population consisting of 275 ducks was genotyped using whole genome resequencing containing 12.6 M single-nucleotide polymorphisms (SNPs) and three beak colors. Genome-wide association studies (GWAS) was used to identify the candidate and potential SNPs for three beak colors in ducks (yellow, spotted, and black). The results showed that 2753 significant SNPs were associated with black beaks, 7462 with yellow, and 17 potential SNPs with spotted beaks. Based on SNP annotation, MITF, EDNRB2, members of the POU family, and the SLC superfamily were the candidate genes regulating pigmentation. Meanwhile, isoforms MITF-M and EDNRB2 were significantly different between black and yellow beaks. MITF and EDNRB2 likely play a synergistic role in the regulation of melanin synthesis, and their mutations contribute to phenotypic differences in beak melanin deposition among individuals. This study provides new insights into genetic factors that may influence the diversity of beak color.
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Affiliation(s)
- Qixin Guo
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Yong Jiang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Zhixiu Wang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Yulin Bi
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Guohong Chen
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
- Correspondence: (H.B.); (G.C.); Tel.: +86-18796608824 (H.B.); +86-17851975060 (G.C.)
| | - Guobin Chang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Correspondence: (H.B.); (G.C.); Tel.: +86-18796608824 (H.B.); +86-17851975060 (G.C.)
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22
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Guo Q, Jiang Y, Wang Z, Bi Y, Chen G, Bai H, Chang G. Genome-Wide Analysis Identifies Candidate Genes Encoding Feather Color in Ducks. Genes (Basel) 2022; 13:genes13071249. [PMID: 35886032 PMCID: PMC9317390 DOI: 10.3390/genes13071249] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/05/2022] [Accepted: 07/11/2022] [Indexed: 12/14/2022] Open
Abstract
Comparative population genomics and genome-wide association studies (GWAS) offer opportunities to discover human-driven detectable signatures within the genome. From the point of view of evolutionary biology, the identification of genes associated with the domestication of traits is of interest for the elucidation of the selection of these traits. To this end, an F2 population of ducks, consisting of 275 ducks, was genotyped using a whole genome re-sequence containing 12.6 Mb single nucleotide polymorphisms (SNPs) and four plumage colors. GWAS was used to identify the candidate and potential SNPs of four plumage colors in ducks (white, spot, grey, and black plumage). In addition, FST and genetic diversity (π ratio) were used to screen signals of the selective sweep, which relate to the four plumage colors. Major genomic regions associated with white, spotted, and black feathers overlapped with their candidate selection regions, whereas no such overlap was observed with grey plumage. In addition, MITF and EDNRB2 are functional candidate genes that contribute to white and black plumage due to their indirect involvement in the melanogenesis pathway. This study provides new insights into the genetic factors that may influence the diversity of plumage color.
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Affiliation(s)
- Qixin Guo
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Yong Jiang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Zhixiu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Yulin Bi
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Guohong Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
| | - Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- Correspondence: (H.B.); (G.C.); Tel.: +86-187-9660-8824 (H.B.); +86-178-5197-5060 (G.C.)
| | - Guobin Chang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (Q.G.); (Y.J.); (Z.W.); (Y.B.); (G.C.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- Correspondence: (H.B.); (G.C.); Tel.: +86-187-9660-8824 (H.B.); +86-178-5197-5060 (G.C.)
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