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Ye Y, Wu G, Wang H, Duan M, Shang P, Chamba Y. The Role of the MYL4 Gene in Porcine Muscle Development and Its Molecular Regulatory Mechanisms. Animals (Basel) 2024; 14:1370. [PMID: 38731374 PMCID: PMC11083461 DOI: 10.3390/ani14091370] [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: 04/06/2024] [Revised: 04/24/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024] Open
Abstract
Muscle growth stands as a pivotal economic trait within pig production, governed by a complex interplay of multiple genes, each playing a role in its quantitative manifestation. Understanding the intricate regulatory mechanisms of porcine muscle development is crucial for enhancing both pork yield and quality. This study used the GSE99749 dataset downloaded from the GEO database, conducting a detailed analysis of the RNA-seq results from the longissimus dorsi muscle (LD) of Tibetan pigs (TP), Wujin pigs (WJ) and large white pigs (LW) at 60 days of gestation, representing diverse body sizes and growth rates. Comparative analyses between TPvsWJ and TPvsLW, along with differential gene expression (DEG) analysis, functional enrichment analysis, and protein-protein interaction (PPI) network analysis, revealed 1048 and 1157 significantly differentially expressed genes (p < 0.001) in TPvsWJ and TPvsLW, respectively. With stricter screening criteria, 37 DEGs were found to overlap between the 2 groups. PPI analysis identified MYL5, MYL4, and ACTC1 as the three core genes. This article focuses on exploring the MYL4 gene. Molecular-level experimental validation, through overexpression and interference of the MYL4 gene combined with EDU staining experiments, demonstrated that overexpression of MYL4 significantly promoted the proliferation of porcine skeletal muscle satellite cells (PSMSC), while interference with MYL4 inhibited their proliferation. Furthermore, by examining the effects of overexpressing and interfering with the MYL4 gene on the muscle hypertrophy marker Fst gene and the muscle degradation marker FOXO3 gene, the pivotal role of the MYL4 gene in promoting muscle growth and preventing muscle degradation was further confirmed. These findings offer a new perspective on the molecular mechanisms behind porcine muscle growth and development, furnishing valuable data and insights for muscle biology research.
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Affiliation(s)
- Yourong Ye
- College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi 860000, China; (Y.Y.); (G.W.); (H.W.); (M.D.)
- The Provincial and Ministerial Co-Founded Collaborative Innovation Center for R&D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China
- Key Laboratory for the Genetic Improvement and Reproduction Technology of the Xizang Swine, Linzhi 860000, China
| | - Guoxin Wu
- College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi 860000, China; (Y.Y.); (G.W.); (H.W.); (M.D.)
- The Provincial and Ministerial Co-Founded Collaborative Innovation Center for R&D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China
- Key Laboratory for the Genetic Improvement and Reproduction Technology of the Xizang Swine, Linzhi 860000, China
| | - Haoqi Wang
- College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi 860000, China; (Y.Y.); (G.W.); (H.W.); (M.D.)
- The Provincial and Ministerial Co-Founded Collaborative Innovation Center for R&D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China
- Key Laboratory for the Genetic Improvement and Reproduction Technology of the Xizang Swine, Linzhi 860000, China
| | - Mengqi Duan
- College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi 860000, China; (Y.Y.); (G.W.); (H.W.); (M.D.)
- The Provincial and Ministerial Co-Founded Collaborative Innovation Center for R&D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China
- Key Laboratory for the Genetic Improvement and Reproduction Technology of the Xizang Swine, Linzhi 860000, China
| | - Peng Shang
- College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi 860000, China; (Y.Y.); (G.W.); (H.W.); (M.D.)
- The Provincial and Ministerial Co-Founded Collaborative Innovation Center for R&D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China
- Key Laboratory for the Genetic Improvement and Reproduction Technology of the Xizang Swine, Linzhi 860000, China
| | - Yangzom Chamba
- College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi 860000, China; (Y.Y.); (G.W.); (H.W.); (M.D.)
- The Provincial and Ministerial Co-Founded Collaborative Innovation Center for R&D in Tibet Characteristic Agricultural and Animal Husbandry Resources, Linzhi 860000, China
- Key Laboratory for the Genetic Improvement and Reproduction Technology of the Xizang Swine, Linzhi 860000, China
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Chen G, Qi L, Zhang S, Peng H, Lin Z, Zhang X, Nie Q, Luo W. Metabolomic, lipidomic, and proteomic profiles provide insights on meat quality differences between Shitou and Wuzong geese. Food Chem 2024; 438:137967. [PMID: 37979274 DOI: 10.1016/j.foodchem.2023.137967] [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: 07/28/2023] [Revised: 10/05/2023] [Accepted: 11/09/2023] [Indexed: 11/20/2023]
Abstract
A comprehensive comparison of metabolomic, lipidomic, and proteomic profiles was conducted between the breast and leg muscles of Shitou goose (STE) and Wuzhong goose (WZE), which exhibit significant variations in body size and growth rate, to evaluate their impact on meat quality. WZE had higher intramuscular fat content in their breast muscles, which were also chewier and had higher drip and cooking losses than STE. Metabolomic analysis revealed differential regulation of amino acid and purine metabolism between WZE and STE. Lipidomic analysis indicated a higher abundance of PE and PC lipid molecules in WZE. Integration of proteomic and metabolomic data highlighted purine metabolism and amino acid biosynthesis as the major distinguishing pathways between STE and WZE. The primary differential pathways between breast and leg muscles were associated with energy metabolism and fatty acid metabolism. This comprehensive analysis provides valuable insights into the distinct meat quality of STE and WZE.
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Affiliation(s)
- Genghua Chen
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Lin Qi
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Shuai Zhang
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Haoqi Peng
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Zetong Lin
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Xiquan Zhang
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Qinghua Nie
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China
| | - Wen Luo
- State Key Laboratory of Livestock and Poultry Breeding, and Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, Guangdong 510642, China.
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Huang J, Xiong X, Zhang W, Chen X, Wei Y, Li H, Xie J, Wei Q, Zhou Q. Integrating miRNA and full-length transcriptome profiling to elucidate the mechanism of muscle growth in Muscovy ducks reveals key roles for miR-301a-3p/ANKRD1. BMC Genomics 2024; 25:340. [PMID: 38575872 PMCID: PMC10993543 DOI: 10.1186/s12864-024-10138-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: 09/18/2023] [Accepted: 02/19/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND The popularity of Muscovy ducks is attributed not only to their conformation traits but also to their slightly higher content of breast and leg meat, as well as their stronger-tasting meat compared to that of typical domestic ducks. However, there is a lack of comprehensive systematic research on the development of breast muscle in Muscovy ducks. In addition, since the number of skeletal muscle myofibers is established during the embryonic period, this study conducted a full-length transcriptome sequencing and microRNA sequencing of the breast muscle. Muscovy ducks at four developmental stages, namely Embryonic Day 21 (E21), Embryonic Day 27 (E27), Hatching Day (D0), and Post-hatching Day 7 (D7), were used to isolate total RNA for analysis. RESULTS A total of 68,161 genes and 472 mature microRNAs were identified. In order to uncover deeper insights into the regulation of mRNA by miRNAs, we conducted an integration of the differentially expressed miRNAs (known as DEMs) with the differentially expressed genes (referred to as DEGs) across various developmental stages. This integration allowed us to make predictions regarding the interactions between miRNAs and mRNA. Through this analysis, we identified a total of 274 DEGs that may serve as potential targets for the 68 DEMs. In the predicted miRNA‒mRNA interaction networks, let-7b, miR-133a-3p, miR-301a-3p, and miR-338-3p were the hub miRNAs. In addition, multiple DEMs also showed predicted target relationships with the DEGs associated with skeletal system development. These identified DEGs and DEMs as well as their predicted interaction networks involved in the regulation of energy homeostasis and muscle development were most likely to play critical roles in facilitating the embryo-to-hatchling transition. A candidate miRNA, miR-301a-3p, exhibited increased expression during the differentiation of satellite cells and was downregulated in the breast muscle tissues of Muscovy ducks at E21 compared to E27. A dual-luciferase reporter assay suggested that the ANKRD1 gene, which encodes a transcription factor, is a direct target of miR-301a-3p. CONCLUSIONS miR-301a-3p suppressed the posttranscriptional activity of ANKRD1, which is an activator of satellite cell proliferation, as determined with gain- and loss-of-function experiments. miR-301a-3p functions as an inducer of myogenesis by targeting the ANKRD1 gene in Muscovy ducks. These results provide novel insights into the early developmental process of black Muscovy breast muscles and will improve understanding of the underlying molecular mechanisms.
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Affiliation(s)
- Jiangnan Huang
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Xiaolan Xiong
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Weihong Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Xiaolian Chen
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Yue Wei
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Haiqin Li
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Jinfang Xie
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China
| | - Qipeng Wei
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China.
| | - Quanyong Zhou
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China.
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Yu H, Yu S, Guo J, Wang J, Mei C, Abbas Raza SH, Cheng G, Zan L. Comprehensive Analysis of Transcriptome and Metabolome Reveals Regulatory Mechanism of Intramuscular Fat Content in Beef Cattle. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:2911-2924. [PMID: 38303491 DOI: 10.1021/acs.jafc.3c07844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
The intramuscular fat (IMF) content of beef determined the meat quality, and the market value of beef varies with different breeds. To provide some new approaches for improving meat quality and cattle breed improvement, 24-month-old Qinchuan cattle (Q, n = 6), Nanyang cattle (N, n = 6), and Japanese black cattle (J, n = 6) were selected. IMF content of the J group (16.92 ± 1.08%) is remarkably higher than that of indigenous Chinese cattle (Q, 13.38 ± 1.08%, and N, 12.35 ± 1.22%). Monounsaturated fatty acids and polyunsaturated fatty acids in the J group are higher than the Q and creatine, lysine, and glutamine are the three most abundant amino acids in beef, which contribute to the flavor formation. Similarly, IMF content-related genes were enriched in four vital KEGG pathways, including fatty acid metabolism, biosynthesis of unsaturated fatty acids, fatty acid elongation, and insulin resistance. Moreover, weighted genes coexpression network analysis (WGCNA) revealed that ITGB1 is the critical gene associated with the IMF content. This study compares transcriptome and metabolome of local and high-IMF cattle breeds, providing data for native cattle breeding and improvement of beef quality.
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Affiliation(s)
- Hengwei Yu
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling 712100, China
| | - Shengchen Yu
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling 712100, China
| | - Juntao Guo
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling 712100, China
| | - Jianfang Wang
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling 712100, China
| | - Chugang Mei
- College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China
- National Beef Cattle Improvement Center, Yangling 712100, China
| | - Sayed Haidar Abbas Raza
- Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou 510642, China
| | - Gong Cheng
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling 712100, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Yangling 712100, China
- National Beef Cattle Improvement Center, Yangling 712100, China
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5
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Zou X, Liu Q, Guan Q, Zhao M, Zhu X, Pan Y, Liu L, Gao Z. Muscle Fiber Characteristics and Transcriptome Analysis in Slow- and Fast-Growing Megalobrama amblycephala. Genes (Basel) 2024; 15:179. [PMID: 38397169 PMCID: PMC10888202 DOI: 10.3390/genes15020179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/25/2024] Open
Abstract
Growth is an important trait in aquaculture that is influenced by various factors, among which genetic regulation plays a crucial role. Megalobrama amblycephala, one of the most important freshwater species in China, exhibits wide variations in body mass among individuals of the same age within the same pool. But the molecular mechanisms underlying wide variation in body mass remain unclear. Here, we performed muscle histological and transcriptome analysis of muscle tissues from Fast-Growing (FG) and Slow-Growing (SG) M. amblycephala at the age of 4 months old (4 mo) and 10 months old (10 mo) to elucidate its muscle development and growth mechanism. The muscle histological analysis showed smaller diameter and higher total number of muscle fibers in FG compared to SG at 4 mo, while larger diameter and total number of muscle fibers were detected in FG at 10 mo. The transcriptome analysis of muscle tissue detected 1171 differentially expressed genes (DEGs) between FG and SG at 4 mo, and 718 DEGs between FG and SG at 10 mo. Furthermore, 44 DEGs were consistently up-regulated in FG at both 4 mo and 10 mo. Up-regulated DEGs in FG at 4 mo were mainly enriched in the pathways related to cell proliferation, while down-regulated DEGs were significantly enriched in cell fusion and muscle contraction. Up-regulated DEGs in FG at 10 mo were mainly enriched in the pathways related to cell proliferation and protein synthesis. Therefore, these results provide novel insights into the molecular mechanism of M. amblycephala muscle growth at different stages, and will be of great guiding significance to promote the fast growth of M. amblycephala.
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Affiliation(s)
- Xue Zou
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; (X.Z.); (Q.L.); (Q.G.); (M.Z.); (Z.G.)
| | - Qi Liu
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; (X.Z.); (Q.L.); (Q.G.); (M.Z.); (Z.G.)
| | - Qianqian Guan
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; (X.Z.); (Q.L.); (Q.G.); (M.Z.); (Z.G.)
| | - Ming Zhao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; (X.Z.); (Q.L.); (Q.G.); (M.Z.); (Z.G.)
| | - Xin Zhu
- Department of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China; (X.Z.)
| | - Yaxiong Pan
- Department of Bioengineering and Environmental Science, Changsha University, Changsha 410003, China; (X.Z.)
| | - Lusha Liu
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; (X.Z.); (Q.L.); (Q.G.); (M.Z.); (Z.G.)
| | - Zexia Gao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China; (X.Z.); (Q.L.); (Q.G.); (M.Z.); (Z.G.)
- Hubei Hongshan Laboratory, Wuhan 430070, China
- Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province, Wuhan 430070, China
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Zhang Y, Lu Y, Yu M, Wang J, Du X, Zhao D, Pian H, He Z, Wu G, Li S, Wang S, Yu D. Transcriptome Profiling Identifies Differentially Expressed Genes in Skeletal Muscle Development in Native Chinese Ducks. Genes (Basel) 2023; 15:52. [PMID: 38254942 PMCID: PMC10815232 DOI: 10.3390/genes15010052] [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: 11/02/2023] [Revised: 12/20/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
China boasts a rich diversity of indigenous duck species, some of which exhibit desirable economic traits. Here, we generated transcriptome sequencing datasets of breast muscle tissue samples from 1D of four groups: Pekin duck pure breeding group (P), Jinling White duck breeding group (J), P ♂ × J ♀ orthogonal group (PJ) and J ♂ × P ♀ reciprocal-cross group (JP) (n = 3), chosen based on the distinctive characteristics of duck muscle development during the embryonic period. We identified 5053 differentially expressed genes (DEGs) among the four groups. Network prediction analysis showed that ribosome and oxidative phosphorylation-related genes were the most enriched, and muscular protein-related genes were found in the 14-day-old embryonic group. We found that previously characterized functional genes, such as FN1, AGRN, ADNAMST3, APOB and FGF9, were potentially involved in muscle development in 14-day-old embryos. Functional enrichment analysis suggested that genes that participated in molecular function and cell component and key signaling pathways (e.g., hippo, ribosome, oxidative phosphorylation) were significantly enriched in the development of skeletal muscle at 14 days of embryonic age. These results indicate a possible role of muscle metabolism and myoglobin synthesis in skeletal muscle development in both duck parents and hybrids.
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Affiliation(s)
- Yuchen Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
| | - Yinglin Lu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
| | - Minli Yu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
| | - Jin Wang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
| | - Xubin Du
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
| | - Dong Zhao
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
- School of Animal Medical, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China
| | - Huifang Pian
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
| | - Zongliang He
- Nanjing Academy of Animal Husbandry and Poultry, Nanjing 210095, China
| | - Guansuo Wu
- Nanjing Academy of Animal Husbandry and Poultry, Nanjing 210095, China
| | - Shiwei Li
- College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi 860000, China
| | - Sike Wang
- College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi 860000, China
| | - Debing Yu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (Y.Z.)
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Li X, Xin A, Ma L, Gou X, Fang S, Dong X, Ni B, Tang L, Zhu L, Yan D, Kong X. Molecular genetic characterization and meat-use functional gene identification in Jianshui yellow-brown ducks through combined resequencing and transcriptome analysis. Front Vet Sci 2023; 10:1269904. [PMID: 38179331 PMCID: PMC10765987 DOI: 10.3389/fvets.2023.1269904] [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: 07/31/2023] [Accepted: 11/27/2023] [Indexed: 01/06/2024] Open
Abstract
The Jianshui yellow-brown duck is a unique country-specific waterfowl species in Yunnan Province, well known for its tender meat. However, there is a lack of comprehensive systematic research on the molecular genetic characteristics, especially germplasm resources and economic traits, of the Jianshui yellow-brown ducks. This study investigated the molecular genetic characteristics of Jianshui yellow-brown ducks, compared their selection signals with those of ancestral mallard and meat-type Pekin ducks, and identified genes specific to their meat-use performance. Furthermore, this study also evaluated the breeding potential for its meat performance. In this study, phylogenetic trees, PCA and Admixture analysis were used to investigate the population genetic structure among local duck breeds in China; population genetic differentiation index (Fst), nucleotide diversity and Tajima's D were used to detect selected loci and genes in the population of Jianshui yellow-brown ducks; and transcriptome technology was used to screen for differentially expressed genes in the liver, sebum and breast muscle tissues, and finally, the results of the genome selection signals and transcriptome data were integrated to excavate functional genes affecting the meat performance of the Jianshui yellow-brown ducks. The results of the genetic structure of the population showed that Jianshui yellow-brown ducks were clustered into a separate group. Selection signal analysis indicated significant selection pressure on certain genes related to meat characteristics (ELOVL2, ELOVL3, GDF10, VSTM2A, PHOSPHO1, and IGF2BP1) in both Jianshui yellow-brown ducks and mallards. Transcriptomic data analysis suggested that ELOVL3, PHOSPHO1, and GDF10 are vital candidate genes influencing meat production and quality in Jianshui yellow-brown ducks. A comparison of selection signals between Jianshui yellow-brown ducks and Pekin ducks revealed only 21 selected genes in the Jianshui yellow-brown duck population, and no significant genes were related to meat traits. Moreover, whole-genome resequencing data suggested that the Jianshui yellow-brown duck represents a unique category with distinct genetic mechanisms. Through selection signaling and transcriptomic approaches, we successfully screened and identified important candidate genes affecting meat traits in Jianshui yellow-brown ducks. Furthermore, the Jianshui yellow-brown duck has good potential for improved meat performance, highlighting the need for further improvement.
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Affiliation(s)
- Xinpeng Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Aiguo Xin
- Poultry Husbandry and Disease Research Institute, Yunnan Academy of Animal Husbandry and Veterinary Sciences, Kunming, China
| | - Li Ma
- Animal Husbandry and Veterinary College, Yunnan Vocational and Technical College of Agriculture, Kunming, China
| | - Xiao Gou
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Suyun Fang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Bin Ni
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Lin Tang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Li Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xiaoyan Kong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
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Cao C, Cai Y, Li Y, Li T, Zhang J, Hu Z, Zhang J. Characterization and comparative transcriptomic analysis of skeletal muscle in female Pekin duck and Hanzhong Ma duck during different growth stages using RNA-seq. Poult Sci 2023; 102:103122. [PMID: 37832186 PMCID: PMC10568565 DOI: 10.1016/j.psj.2023.103122] [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: 06/27/2023] [Revised: 09/13/2023] [Accepted: 09/13/2023] [Indexed: 10/15/2023] Open
Abstract
Duck is an economically important poultry, and there is currently a major focus on improving its meat quality through breeding. There are wide variations in the growth regulation mechanisms of different duck breeds, that fundamental research on skeletal muscle growth is essential for understanding the regulation of unknown genes. The study aimed to broaden the understanding the duck skeletal muscle development and thereby to improve the performance of domestic ducks. In this study, RNA-seq data from skeletal muscles (breast muscle and leg muscle) of Pekin duck and Hanzhong Ma duck sampled at d 17, 21, and 27 of embryo (E17d, E21d, and E27d), as well as at 6-mo-old following birth (M6), to investigate and compare the mRNA temporal expression profiles and associated pathways that regulate skeletal myogenesis of different duck breeds. There were 331 to 1,440 annotated differentially expressed genes (DEGs) in breast muscle and 380 to 1,790 annotated DEGs in leg muscle from different databases between 2 duck breeds. Gene ontology (GO) enrichment in skeletal muscles indicated that these DEGs were mainly involved in biosynthetic process, developmental process, regulation of protein metabolic process and regulation of gene expression. KEGG analysis in skeletal muscles showed that a total of 41 DEGs were mapped to 7 KEGG pathways, including ECM-receptor interaction, focal adhesion, carbon metabolism, regulation of actin cytoskeleton, calcium signaling pathway, biosynthesis of amino acids and PPAR signaling pathway. The differential expression of 8 selected DEGs was verified by qRT-PCR, and the results were consistent with RNA-seq data. The identified DEGs, such as SDC, SPP1, PAK1, MYL9, PGK1, NOS1, PHGDH, TNNT2, FN1, and AQP4, were specially highlighted, indicating their associations with muscle development in the Pekin duck and Hanzhong Ma duck. This study provides a basis for revealing the differences in skeletal muscle development between Pekin duck and Hanzhong Ma duck.
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Affiliation(s)
- Chang Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Yingjie Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Yuxiao Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Tao Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Jiqiao Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Zhigang Hu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China
| | - Jianqin Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, PR China.
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9
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Liu S, Wu J, Zhang W, Jiang H, Zhou Y, Liu J, Mao H, Liu S, Chen B. Whole-Transcriptome RNA Sequencing Uncovers the Global Expression Changes and RNA Regulatory Networks in Duck Embryonic Myogenesis. Int J Mol Sci 2023; 24:16387. [PMID: 38003577 PMCID: PMC10671564 DOI: 10.3390/ijms242216387] [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: 09/19/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Duck meat is pivotal in providing high-quality protein for human nutrition, underscoring the importance of studying duck myogenesis. The regulatory mechanisms governing duck myogenesis involve both coding and non-coding RNAs, yet their specific expression patterns and molecular mechanisms remain elusive. To address this knowledge gap, we performed expression profiling analyses of mRNAs, lncRNAs, circRNAs, and miRNAs involved in duck myogenesis using whole-transcriptome RNA-seq. Our analysis identified 1733 differentially expressed (DE)-mRNAs, 1116 DE-lncRNAs, 54 DE-circRNAs, and 174 DE-miRNAs when comparing myoblasts and myotubes. A GO analysis highlighted the enrichment of DE molecules in the extracellular region, protein binding, and exocyst. A KEGG analysis pinpointed pathways related to ferroptosis, PPAR signaling, nitrogen metabolism, cell cycle, cardiac muscle contraction, glycerolipid metabolism, and actin cytoskeleton. A total of 51 trans-acting lncRNAs, including ENSAPLT00020002101 and ENSAPLT00020012069, were predicted to participate in regulating myoblast proliferation and differentiation. Based on the ceRNAs, we constructed lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA ceRNA networks involving five miRNAs (miR-129-5p, miR-133a-5p, miR-22-3p, miR-27b-3p, and let-7b-5p) that are relevant to myogenesis. Furthermore, the GO and KEGG analyses of the DE-mRNAs within the ceRNA network underscored the significant enrichment of the glycerolipid metabolism pathway. We identified five different DE-mRNAs, specifically ENSAPLG00020001677, ENSAPLG00020002183, ENSAPLG00020005019, ENSAPLG00020010497, and ENSAPLG00020017682, as potential target genes that are crucial for myogenesis in the context of glycerolipid metabolism. These five mRNAs are integral to ceRNA networks, with miR-107_R-2 and miR-1260 emerging as key regulators. In summary, this study provides a valuable resource elucidating the intricate interplay of mRNA-lncRNA-circRNA-miRNA in duck myogenesis, shedding light on the molecular mechanisms that govern this critical biological process.
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Affiliation(s)
- Shuibing Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Jintao Wu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Wentao Zhang
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Hongxia Jiang
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yanan Zhou
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Jing Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
| | - Huirong Mao
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Sanfeng Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
| | - Biao Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, China; (S.L.); (J.W.); (W.Z.); (H.J.); (Y.Z.); (J.L.); (H.M.)
- Poultry Research Institute, Jiangxi Agricultural University, Nanchang 330045, China
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10
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Li F, Zhu C, Luo Y, Li S, Wang Q, Han Y, Wu Z, Li X, Liang Y, Chen Y, Shen X, Huang Y, Tian Y, Zhang X. Transcriptomic Analysis on Pectoral Muscle of European Meat Pigeons and Shiqi Pigeons during Embryonic Development. Animals (Basel) 2023; 13:3267. [PMID: 37893991 PMCID: PMC10603743 DOI: 10.3390/ani13203267] [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: 09/04/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
In avian muscle development, embryonic muscle development determines the number of myofibers after birth. Therefore, in this study, we investigated the phenotypic differences and the molecular mechanism of pectoral muscle development of the European meat pigeon Mimas strain (later called European meat pigeon) and Shiqi pigeon on embryonic day 6 (E6), day 10 (E10), day 14 (E14) and day 1 after birth (P1). The results showed that the myofiber density of the Shiqi pigeon was significantly higher than that of the European meat pigeon on E6, and myofibers with a diameter in the range of 50~100 μm of the Shiqi pigeon on P1 were significantly higher than those of European meat pigeon. A total of 204 differential expressed genes (DEGs) were obtained from RNA-seq analysis in comparison between pigeon breeds at the same stage. DEGs related to muscle development were found to significantly enrich the cellular amino acid catabolism, carboxylic acid catabolism, extracellular matrix receptor interaction, REDOX enzyme activity, calcium signaling pathway, ECM receptor interaction, PPAR signaling pathway and other pathways. Using Cytoscape software to create mutual mapping, we identified 33 candidate genes. RT-qPCR was performed to verify the 8 DEGs selected-DES, MYOD, MYF6, PTGS1, MYF5, MYH1, MSTN and PPARG-and the results were consistent with RNA-seq. This study provides basic data for revealing the distinct embryonic development mechanism of pectoral muscle between European meat pigeons and Shiqi pigeons.
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Affiliation(s)
- Fada Li
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Chenyu Zhu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yongquan Luo
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Songchao Li
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Qi Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yuanhao Han
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Zhongping Wu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xiujin Li
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yayan Liang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yitian Chen
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xu Shen
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yunmao Huang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Yunbo Tian
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Xumeng Zhang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510225, China; (F.L.); (C.Z.); (Y.L.); (S.L.); (Q.W.); (Y.H.); (Z.W.); (X.L.); (Y.L.); (Y.C.); (X.S.); (Y.H.)
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
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11
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Integration of Transcriptomics and Non-Targeted Metabolomics Reveals the Underlying Mechanism of Skeletal Muscle Development in Duck during Embryonic Stage. Int J Mol Sci 2023; 24:ijms24065214. [PMID: 36982289 PMCID: PMC10049352 DOI: 10.3390/ijms24065214] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
Skeletal muscle is an important economic trait in duck breeding; however, little is known about the molecular mechanisms of its embryonic development. Here, the transcriptomes and metabolomes of breast muscle of Pekin duck from 15 (E15_BM), 21 (E21_BM), and 27 (E27_BM) days of incubation were compared and analyzed. The metabolome results showed that the differentially accumulated metabolites (DAMs), including the up-regulated metabolites, l-glutamic acid, n-acetyl-1-aspartylglutamic acid, l-2-aminoadipic acid, 3-hydroxybutyric acid, bilirubin, and the significantly down-regulated metabolites, palmitic acid, 4-guanidinobutanoate, myristic acid, 3-dehydroxycarnitine, and s-adenosylmethioninamine, were mainly enriched in metabolic pathways, biosynthesis of secondary metabolites, biosynthesis of cofactors, protein digestion and absorption, and histidine metabolism, suggesting that these pathways may play important roles in the muscle development of duck during the embryonic stage. Moreover, a total of 2142 (1552 up-regulated and 590 down-regulated), 4873 (3810 up-regulated and 1063 down-regulated), and 2401 (1606 up-regulated and 795 down-regulated) DEGs were identified from E15_BM vs. E21_BM, E15_BM vs. E27_BM and E21_BM vs. E27_BM in the transcriptome, respectively. The significantly enriched GO terms from biological processes were positive regulation of cell proliferation, regulation of cell cycle, actin filament organization, and regulation of actin cytoskeleton organization, which were associated with muscle or cell growth and development. Seven significant pathways, highly enriched by FYN, PTK2, PXN, CRK, CRKL, PAK, RHOA, ROCK, INSR, PDPK1, and ARHGEF, were focal adhesion, regulation of actin cytoskeleton, wnt signaling pathway, insulin signaling pathway, extracellular matrix (ECM)-receptor interaction, cell cycle, and adherens junction, which participated in regulating the development of skeletal muscle in Pekin duck during the embryonic stage. KEGG pathway analysis of the integrated transcriptome and metabolome indicated that the pathways, including arginine and proline metabolism, protein digestion and absorption, and histidine metabolism, were involved in regulating skeletal muscle development in embryonic Pekin duck. These findings suggested that the candidate genes and metabolites involved in crucial biological pathways may regulate muscle development in the Pekin duck at the embryonic stage, and increased our understanding of the molecular mechanisms underlying the avian muscle development.
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12
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Salek Ardestani S, Zandi MB, Vahedi SM, Janssens S. Population structure and genomic footprints of selection in five major Iranian horse breeds. Anim Genet 2022; 53:627-639. [PMID: 35919961 DOI: 10.1111/age.13243] [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: 03/03/2022] [Revised: 06/08/2022] [Accepted: 07/04/2022] [Indexed: 11/28/2022]
Abstract
The genetic structure and characteristics of Iranian native breeds are yet to be comprehensibly investigated and studied. Therefore, we employed genomic information of 364 Iranian native horses representing the Asil (n = 109), Caspian (n = 40), Dareshuri (n = 44), Kurdish (n = 95), and Turkoman (n = 76) breeds to reveal the genetic structure and characteristics. For these and 19 other horse breeds, principal component analysis, Bayesian model-based, Neighbor-Net, and bootstrap-based TreeMix approaches were applied to investigate and compare their genetic structure. Additionally, three haplotype-based methods including haplotype homozygosity pooled, integrated haplotype score, and number of segregating sites by length were applied to trace genomic footprints of selection of Asil, Caspian, Dareshuri, Kurdish, and Turkoman groups. Then, the Mahalanobis distance based on the negative-log10 rank-based P-values was estimated based on the haplotype homozygosity pooled, integrated haplotype score, and number of segregating sites by length values. Asil, Caspian, Dareshuri, Kurdish, and Turkoman can be categorized into five different genetic clusters. Based on the top 1% of Mahalanobis distance based on the negative-log10 rank-based P-values of SNPs, we identified 24 SNPs formerly reported to be associated with different traits and >100 genes undergoing selection pressures in Asil, Caspian, Dareshuri, Kurdish, and Turkoman. The detected QTL undergoing selection pressures were associated with withers height, equine metabolic syndrome, overall body size, insect bite hypersensitivity, guttural pouch tympany, white markings, Rhodococcus equi infection, jumping test score, alternate gaits, and body weight traits. Our findings will aid to have a better perspective of the genetic characteristics and population structure of Asil, Caspian, Dareshuri, Kurdish, and Turkoman horses as Iranian native horse breeds.
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Affiliation(s)
| | | | - Seyed Milad Vahedi
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, Nova Scotia, Canada
| | - Steven Janssens
- Department Biosystems, Center Animal Breeding and Genetics, KU Leuven, Leuven, Belgium
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Tao QH, Chen Y, Bai DP, Mai LJ, Fan QM, Shi YZ, Chen C, Li A. Differential expression of MSTN, IGF2BP1, and FABP2 across different embryonic ages and sexes in white Muscovy ducks. Gene 2022; 829:146479. [PMID: 35460805 DOI: 10.1016/j.gene.2022.146479] [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: 11/17/2021] [Revised: 03/27/2022] [Accepted: 04/01/2022] [Indexed: 11/04/2022]
Abstract
To explore the effects of growth-related genes in both sexes and at different growth and development stages, male and female white Muscovy ducks at embryonic day E13, E17, E21, E25 and E29 were assessed in this study. RT-qPCR was used to determine the mRNA transcription levels of selected growth-related genes in the leg muscles of Muscovy ducks of both sexes and at different growth and developmental stages. MSTN, IGF2BP1 and FABP2 mRNAs were expressed in the leg muscles of male and female Muscovy ducks, but with different expression patterns. The MSTN and IGF2BP1 mRNA expression patterns were wavelike. MSTN mRNA expression was elevated at E13, increased at E17, decreased rapidly to the lowest level at E21, increased again at E25, and then decreased. IGF2BP1 mRNA expression was elevated at E13, increased at E17, decreased rapidly at E21, decreased rapidly to the lowest level at E25, and increased at E29. The expression trend of FABP2 mRNA was approximately "⊥" shape; the expression was the lowest at E13, increased slowly from E17 to E25, and increased extremely significantly at E29. In addition, the expression of MSTN in male Muscovy ducks was significantly higher than that in female ducks at E25 (P < 0.05). The expression of IGF2BP1 in male Muscovy ducks was extremely significantly higher than that in female ducks at E17 (P < 0.01). However, the expression of FABP2 in female Muscovy ducks was extremely significantly higher than that in male Muscovy ducks at E21 and E29 (P < 0.01). In conclusion, the mRNA expression of MSTN, IGF2BP1 and FABP2 in white Muscovy ducks is gestational age specific and sex specific. The differential gene expression patterns observed in this study provide a basis for understanding the physiological changes in white Muscovy ducks at different embryonic ages and in both sexes, supplementing the existing research on duck embryo muscle development. In addition, the findings provide a new framework for further discussion of poultry breeding.
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Affiliation(s)
- Qing-Hua Tao
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Yue Chen
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Ding-Ping Bai
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Li-Jun Mai
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Qin-Ming Fan
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Yu-Zhu Shi
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Chao Chen
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China
| | - Ang Li
- College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
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14
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Ye J, Zhao X, Xue H, Zou X, Liu G, Deng M, Sun B, Guo Y, Liu D, Li Y. RNA-Seq Reveals miRNA and mRNA Co-regulate Muscle Differentiation in Fetal Leizhou Goats. Front Vet Sci 2022; 9:829769. [PMID: 35400087 PMCID: PMC8990838 DOI: 10.3389/fvets.2022.829769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Muscle differentiation is an essential link in animal growth and development, and microRNA and mRNA are indispensable in skeletal muscle differentiation. To improve the meat quality and production of the Leizhou goat, it is vital to understand the molecular mechanism by which its skeletal muscle differentiates. By RNA sequencing (RNA-SEQ), we established miRNA-mRNA profiles of Leizhou goats at three stages: fetal day 70, 90, and 120. There were 991 differently expressed mRNAs and 39 differentially expressed miRNAs found, with the differentially expressed mRNAs mainly enriched in calcium ion binding, ECM-receptor interaction, and Focal adhesion. CKM and MYH3, two muscle differentiation markers, were significantly differentially expressed during this period. In addition, we found that chi-miR-129-5p, chi-miR-433, and chi-miR-24-3p co-regulate muscle differentiation with their target genes. Finally, we can confirm that muscle differentiation occurred in Leizhou goat between 90 and 120 days of the fetus. This study is helpful to better explore the molecular mechanism of goat muscle differentiation.
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Affiliation(s)
- Junning Ye
- College of Animal Science, South China Agricultural University, Guangzhou, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Xiuhui Zhao
- College of Animal Science, South China Agricultural University, Guangzhou, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Huiwen Xue
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Xian Zou
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Guangbin Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Ming Deng
- College of Animal Science, South China Agricultural University, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Baoli Sun
- College of Animal Science, South China Agricultural University, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Yongqing Guo
- College of Animal Science, South China Agricultural University, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Dewu Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China
- National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Yaokun Li
- College of Animal Science, South China Agricultural University, Guangzhou, China
- *Correspondence: Yaokun Li
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