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Shen Z, Lu Y, Bai Y, Li J, Wang H, Kou D, Li Z, Ma Q, Hu J, Bai L, Li L, Wang J, Liu H. Transcriptome-metabolome reveals the molecular changes in meat production and quality in the hybrid populations of Sichuan white goose. Poult Sci 2024; 103:103931. [PMID: 38972281 PMCID: PMC11263958 DOI: 10.1016/j.psj.2024.103931] [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: 02/23/2024] [Revised: 04/29/2024] [Accepted: 05/29/2024] [Indexed: 07/09/2024] Open
Abstract
Hybrid breeding has proven to enhance meat quality and is extensively utilized in goose breeding. Nevertheless, there is a paucity of research investigating the molecular mechanisms that underlie the meat quality of hybrid geese. In this study, we employed the Sichuan White Goose as the maternal line for hybridization with the Zhedong White Goose and Tianfu Meat Goose P3 line. We assessed the growth and slaughter meat quality performance of 10-wk-old hybrid offspring in comparison to Sichuan white goose purebred offspring. The results indicate that hybrid geese have significantly improved performance in growth and slaughter meat quality. Furthermore, we conducted a comprehensive analysis of the chest muscles of hybrid offspring through transcriptomics and metabolomics to unravel the effects of hybrid breeding on growth and meat quality. A total of 673 differentially expressed genes (DEGs), and 93 differentially expressed metabolites were identified. The joint analysis highlighted the significant enrichment of DEGs AMPD1, AMPD3, RRM2, ENTPD3, and the metabolite UMP in the nucleotide metabolism pathway. These findings underscore the crucial role of these genetic and metabolic factors in regulating muscle growth and meat quality in hybrid populations.
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Affiliation(s)
- Zhengyang Shen
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Yinjuan Lu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Yuan Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Junpeng Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 611130, PR China
| | - Huazhen Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 611130, PR China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Daqin Kou
- Livestock and Aquaculture Industry Development Service Center, Agricultural and Rural Bureau of Nanxi District Yibin City, Sichuan Province 644105, PR China
| | - Zhongbin Li
- Livestock and Aquaculture Industry Development Service Center, Agricultural and Rural Bureau of Nanxi District Yibin City, Sichuan Province 644105, PR China
| | - Qian Ma
- Livestock and Aquaculture Industry Development Service Center, Agricultural and Rural Bureau of Nanxi District Yibin City, Sichuan Province 644105, PR China
| | - Jiwei Hu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 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; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, 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; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, PR China
| | - Jiwen Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, 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 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; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, 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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Identification of the Differentially Expressed Genes in the leg muscles of Zhedong White Geese (Anser cygnoides) reared under different photoperiods. Poult Sci 2022; 101:102193. [PMID: 36257072 PMCID: PMC9579406 DOI: 10.1016/j.psj.2022.102193] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 11/23/2022] Open
Abstract
Light is a factor affecting muscle development and meat quality in poultry production. However, few studies have reported on the role of light in muscle development and meat quality in geese. In this experiment, 10 healthy 220-day-old Zhedong white geese were reared for 60 d under a long photoperiod (15L:9D, LL) and short photoperiod (9L:15D, SL). The gastrocnemius muscles were collected after slaughter to evaluate muscle fiber characteristics and meat color, and RNA-seq analysis. The results showed that compared to the LL group, the SL group had large muscle fiber diameter and cross-sectional area, few muscle fibers per unit area, high meat color a* value, and low L* value at 24 h postmortem. On comparing the 2 groups, 70 differentially expressed genes (DEGs) were identified. Compared to the SL group, the LL group had 25 upregulated and 45 downregulated genes. Gene Ontology (GO) enrichment analysis showed that these DEGs were mainly involved in cell, cell part, binding, cellular processes, and single-organism processes. Several significantly enriched athways were identified in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, such as the calcium and PI3k-Akt signaling pathways. The expression of five randomly selected DEGs was verified using quantitative real-time PCR, and the results were consistent with the RNA-seq data. This study provides a theoretical basis for studying the molecular mechanisms by which light affects muscle development and meat color in geese.
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Gong P, Jing Y, Liu Y, Wang L, Wu C, Du Z, Li H. Whole-genome bisulfite sequencing of abdominal adipose reveals DNA methylation pattern variations in broiler lines divergently selected for fatness. J Anim Sci 2021; 99:skaa408. [PMID: 33373456 PMCID: PMC8611762 DOI: 10.1093/jas/skaa408] [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: 09/08/2020] [Accepted: 12/23/2020] [Indexed: 11/14/2022] Open
Abstract
The methylation status of pivotal genes involved in fat deposition in chickens has been extensively studied. However, the whole-genome DNA methylation profiles of broiler abdominal adipose tissue remain poorly understood. Using whole-genome bisulfite sequencing, we generated DNA methylation profiles of chicken abdominal adipose tissue from Northeast Agricultural University broiler lines divergently selected for abdominal fat content. We aimed to explore whether DNA methylation was associated with abdominal fat deposition in broilers. The whole-genome DNA methylation profiles of fat- and lean-line broilers abdominal adipose tissue were constructed. The DNA methylation levels of functional genomic regions in the fat broiler were higher than those in the lean broiler, especially in the 3' untranslated regions (UTRs) and exons in the non-CG contexts. Additionally, we identified 29,631 differentially methylated regions and, subsequently, annotated 6,484 and 2,016 differentially methylated genes (DMGs) in the gene body and promoter regions between the two lines, respectively. Functional annotation showed that the DMGs in promoter regions were significantly enriched mainly in the triglyceride catabolic process, lipid metabolism-related pathways, and extracellular matrix signal pathways. When the DMG in promoter regions and differentially expressed genes were integrated, we identified 30 genes with DNA methylation levels that negatively correlated with their messenger RNA (mRNA) expression, of which CMSS1 reached significant levels (false discovery rate < 0.05). These 30 genes were mainly involved in fatty acid metabolism, peroxisome-proliferator-activated receptor signaling, Wnt signaling pathways, transmembrane transport, RNA degradation, and glycosaminoglycan degradation. Comparing the DNA methylation profiles between fat- and lean-line broilers demonstrated that DNA methylation is involved in regulating broiler abdominal fat deposition. Our study offers a basis for further exploring the underlying mechanisms of abdominal adipose deposition in broilers.
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Affiliation(s)
- Pengfei Gong
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
| | - Yang Jing
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
| | - Yumeng Liu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
| | - Lijian Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
| | - Chunyan Wu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
| | - Zhiqiang Du
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and
Rural Affairs, Harbin, P.R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education
Department of Heilongjiang Province, Harbin, P.R.
China
- College of Animal Science and Technology, Northeast Agricultural
University, Harbin, P.R. China
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Gao GL, Wang HW, Zhao XZ, Li Q, Li J, Li QR, Wang QG. Feeding conditions and breed affect the level of DNA methylation of the mitochondrial uncoupling protein 3 gene in chicken breast muscle. J Anim Sci 2016; 93:1522-34. [PMID: 26020174 DOI: 10.2527/jas.2014-8431] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
To investigate the effects of feed condition and breed on the level of DNA methylation for the uncoupling protein 3 (UCP3) gene, which is an important candidate gene for regulating intramuscular fat (IMF) content in chicken breast muscle, breast muscle of Daninghe (DNH) and Qingjiaoma (QJM) chickens under scatter-feed and captivity-feed conditions was analyzed. Using RNA sequencing, 47 and 113 candidate genes were determined to be related to feed conditions and breed, respectively, and 7 differentially expressed genes were confirmed by real-time quantitative PCR, including UCP3. The mRNA levels of UCP3 were significantly different between the 2 feed conditions. The DNA region from bp +1700 to +2459 of the UCP3 gene was studied using the bisulfite sequencing method and contained 46 methylation sites and 3 CpG islands. The results showed that the methylation level of this UCP3 region was lower in DNH chickens (0.77% to 0.88%, P = 0.012) and QJM chickens (0.88% to 0.91%, P = 0.20) under scatter-feed conditions than under captivity-feed conditions. The mean methylation level of UCP3 in DNH chickens was lower than that in QJM chickens under scatter-feed conditions (DNH to QJM, 0.77% to 0.88%, P = 0.007), which suggests that breed affects the mean methylation level of UCP3 under scatter-feed conditions. In summary, our findings suggest that feed condition and breed affect the methylation of UCP3 in chicken breast muscle.
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