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Xu Y, Wang H, Cheng F, Chen K, Lei G, Deng Z, Wu X, Liu C, Si J, Liang J. Screening for Genes Related to Meat Production Traits in Duroc × Bama Xiang Crossbred Pigs by Whole Transcriptome Sequencing. Animals (Basel) 2024; 14:2347. [PMID: 39199880 PMCID: PMC11350711 DOI: 10.3390/ani14162347] [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: 06/30/2024] [Revised: 08/02/2024] [Accepted: 08/11/2024] [Indexed: 09/01/2024] Open
Abstract
The meat production traits of pigs are influenced by the expression regulation of multiple gene types, including mRNAs, miRNAs, and lncRNAs. To study the differences in meat production traits at the transcriptional level among individuals with different growth rates, the longissimus dorsi samples from eight Duroc × Bama Xiang F2 crossbred pigs with a fast growth rate (high gTroup) or a slow growth rate (low group) were selected to perform whole transcriptome sequencing and ceRNA regulatory network construction. This study first analyzed the differences in physiological and biochemical indicators, muscle histological characteristics, and muscle fiber types. A total of 248 mRNAs, 25 miRNAs, and 432 lncRNAs were identified as differentially expressed by whole transcriptome sequencing. Key genes that may influence meat production traits include MTMR14, PPP1R3A, PYGM, PGAM2, MYH1, and MYH7. The ceRNA regulatory network map showed that ENSSSCG00000042061-ssc-mir-208b-MYH7, ENSSSCG00000042223-ssc-mir-146a-MTMR14, ENSSSCG00000045539-ssc-mir-9-3-MYH1, and ENSSSCG00000047852-ssc-mir-103-1-PPP1R3A may be the key factors affecting meat production traits through their regulatory relationships. This study provides valuable insights into the molecular mechanisms underlying porcine muscle development and can aid in improving meat production traits.
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Affiliation(s)
- Yupei Xu
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Hui Wang
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Feng Cheng
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Kuirong Chen
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Guofeng Lei
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Zhongrong Deng
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Xiaoxiao Wu
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Cong Liu
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
| | - Jinglei Si
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
- Guangxi State Farms Yongxin Animal Husbandry Group Co., Ltd., Nanning 530022, China
| | - Jing Liang
- College of Animal Science & Technology, Guangxi University, Nanning 530004, China; (Y.X.); (H.W.); (F.C.); (K.C.); (G.L.); (Z.D.); (X.W.); (C.L.)
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Guo X, Lan G, Jiang Q, Guo Y, Ouyang Y, Liang J, Zhang M. Expression mechanisms of mir-486-5p and its host gene sANK1 in porcine muscle. Mol Biol Rep 2024; 51:840. [PMID: 39042282 DOI: 10.1007/s11033-024-09773-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 07/01/2024] [Indexed: 07/24/2024]
Abstract
BACKGROUND MiR-486-5p has been identified as a crucial regulator of the PI3K/AKT signalling pathway, which plays a significant role in skeletal muscle development. Its host gene, sANK1, is also essential for skeletal muscle development. However, the understanding of porcine miR-486-5p and sANK1 has been limited. METHODS AND RESULTS In this study, PCR analyses revealed a positive correlation between the expression of miR-486-5p and sANK1 in the longissimus dorsi muscle of the Bama mini-pig and Landrace-pig, as well as during myoblast differentiation. Furthermore, the expression of miR-486-5p/sANK1 was higher in the Bama mini-pig compared to the Landrace-pig. There was a total of 18 single nucleotide polymorphisms (SNP) present in the sANK1 promoter region. Among these SNPs, 14 of them resulted in alterations in transcription factor binding sites (TFBs). Additionally, the promoter fluorescence assay demonstrated that the activity of the sANK1 promoter derived from the Bama mini-pig was significantly higher compared to Landrace-pig. It is worth noting that ten regulatory SNPs have the potential to influence the activity of the sANK1 promoter. A nuclear mutation A-G located at position - 401 (relative to the transcription start site) in the Bama mini-pig was identified, which creates a putative TFB motif for MyoD. CONCLUSIONS The findings presented in this study offer fundamental molecular knowledge and expression patterns of miR-486-5p/sANK1, which can be valuable for gaining a deeper understanding of the gene's involvement in porcine skeletal muscle development, and meat quality.
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Affiliation(s)
- Xiaoping Guo
- Laboratory Animal Center, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Ganqiu Lan
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi, China
| | - Qinyang Jiang
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi, China
| | - Yafen Guo
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi, China
| | - Yiqiang Ouyang
- Laboratory Animal Center, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jing Liang
- College of Animal Science and Technology, Guangxi University, Nanning, 530004, Guangxi, China.
| | - Mingyuan Zhang
- Laboratory Animal Center, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Life Science Institute, Guangxi Medical University, Nanning, 530021, China.
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3
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Yu M, Feng Y, Yan J, Zhang X, Tian Z, Wang T, Wang J, Shen W. Transcriptomic regulatory analysis of skeletal muscle development in landrace pigs. Gene 2024; 915:148407. [PMID: 38531491 DOI: 10.1016/j.gene.2024.148407] [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: 10/17/2023] [Revised: 12/28/2023] [Accepted: 03/21/2024] [Indexed: 03/28/2024]
Abstract
The development of pig skeletal muscle is a complex dynamic regulation process, which mainly includes the formation of primary and secondary muscle fibers, the remodeling of muscle fibers, and the maturation of skeletal muscle; However, the regulatory mechanism of the entire developmental process remains unclear. This study analyzed the whole-transcriptome data of skeletal muscles at 27 developmental nodes (E33-D180) in Landrace pigs, and their key regulatory factors in the development process were identified using the bioinformatics method. Firstly, we constructed a transcriptome expression map of skeletal muscle development from embryo to adulthood in Landrace pig. Subsequently, due to drastic change in gene expression, the perinatal periods including E105, D0 and D9, were focused, and the genes related to the process of muscle fiber remodeling and volume expansion were revealed. Then, though conjoint analysis with miRNA and lncRNA transcripts, a ceRNA network were identified, which consist of 11 key regulatory genes (such as CHAC1, RTN4IP1 and SESN1), 7 miRNAs and 43 lncRNAs, and they potentially play an important role in the process of muscle fiber differentiation, muscle fiber remodeling and volume expansion, intramuscular fat deposition, and other skeletal muscle developmental events. In summary, we reveal candidate genes and underlying molecular regulatory networks associated with perinatal skeletal muscle fiber type remodeling and expansion. These data provide new insights into the molecular regulation of mammalian skeletal muscle development and diversity.
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Affiliation(s)
- Mubin Yu
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Yanqin Feng
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Jiamao Yan
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Xiaoyuan Zhang
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Zhe Tian
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Tao Wang
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Junjie Wang
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China.
| | - Wei Shen
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China.
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Xiao L, Qiao J, Huang Y, Tan B, Hong L, Li Z, Cai G, Wu Z, Zheng E, Wang S, Gu T. RASGRP1 targeted by H3K27me3 regulates myoblast proliferation and differentiation in mice and pigs. Acta Biochim Biophys Sin (Shanghai) 2024; 56:452-461. [PMID: 38419500 PMCID: PMC10984873 DOI: 10.3724/abbs.2024011] [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: 09/09/2023] [Accepted: 11/14/2023] [Indexed: 03/02/2024] Open
Abstract
Skeletal muscle is not only the largest organ in the body that is responsible for locomotion and exercise but also crucial for maintaining the body's energy metabolism and endocrine secretion. The trimethylation of histone H3 lysine 27 (H3K27me3) is one of the most important histone modifications that participates in muscle development regulation by repressing the transcription of genes. Previous studies indicate that the RASGRP1 gene is regulated by H3K27me3 in embryonic muscle development in pigs, but its function and regulatory role in myogenesis are still unclear. In this study, we verify the crucial role of H3K27me3 in RASGRP1 regulation. The gain/loss function of RASGRP1 in myogenesis regulation is performed using mouse myoblast C2C12 cells and primarily isolated porcine skeletal muscle satellite cells (PSCs). The results of qPCR, western blot analysis, EdU staining, CCK-8 assay and immunofluorescence staining show that overexpression of RASGRP1 promotes cell proliferation and differentiation in both skeletal muscle cell models, while knockdown of RASGRP1 leads to the opposite results. These findings indicate that RASGRP1 plays an important regulatory role in myogenesis in both mice and pigs.
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Affiliation(s)
- Liyao Xiao
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
| | - Jiaxin Qiao
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
| | - Yiyang Huang
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
| | - Baohua Tan
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
| | - Linjun Hong
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
| | - Zicong Li
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresourcesGuangzhou510000China
- Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and TechnologyGuangzhou510000China
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular BreedingGuangzhou510000China
| | - Gengyuan Cai
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
- Guangdong Wens Breeding Swine Technology Co.Ltd.Yunfu527400China
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresourcesGuangzhou510000China
- Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and TechnologyGuangzhou510000China
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular BreedingGuangzhou510000China
- Guangdong Wens Breeding Swine Technology Co.Ltd.Yunfu527400China
| | - Enqin Zheng
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
| | - Shanshan Wang
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
- College of Life ScienceHubei UniversityWuhan430000China
| | - Ting Gu
- National Engineering Research Center for Breeding Swine IndustryCollege of Animal ScienceSouth China Agricultural UniversityGuangzhou510000China
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Fan D, Yao Y, Liu Y, Yan C, Li F, Wang S, Yu M, Xie B, Tang Z. Regulation of myo-miR-24-3p on the Myogenesis and Fiber Type Transformation of Skeletal Muscle. Genes (Basel) 2024; 15:269. [PMID: 38540328 PMCID: PMC10970682 DOI: 10.3390/genes15030269] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/01/2024] [Accepted: 02/06/2024] [Indexed: 06/15/2024] Open
Abstract
Skeletal muscle plays critical roles in providing a protein source and contributing to meat production. It is well known that microRNAs (miRNAs) exert important effects on various biological processes in muscle, including cell fate determination, muscle fiber morphology, and structure development. However, the role of miRNA in skeletal muscle development remains incompletely understood. In this study, we observed a critical miRNA, miR-24-3p, which exhibited higher expression levels in Tongcheng (obese-type) pigs compared to Landrace (lean-type) pigs. Furthermore, we found that miR-24-3p was highly expressed in the dorsal muscle of pigs and the quadriceps muscle of mice. Functionally, miR-24-3p was found to inhibit proliferation and promote differentiation in muscle cells. Additionally, miR-24-3p was shown to facilitate the conversion of slow muscle fibers to fast muscle fibers and influence the expression of GLUT4, a glucose transporter. Moreover, in a mouse model of skeletal muscle injury, we demonstrated that overexpression of miR-24-3p promoted rapid myogenesis and contributed to skeletal muscle regeneration. Furthermore, miR-24-3p was found to regulate the expression of target genes, including Nek4, Pim1, Nlk, Pskh1, and Mapk14. Collectively, our findings provide evidence that miR-24-3p plays a regulatory role in myogenesis and fiber type conversion. These findings contribute to our understanding of human muscle health and have implications for improving meat production traits in livestock.
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Affiliation(s)
- Danyang Fan
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China; (D.F.); (Y.L.); (M.Y.)
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (C.Y.); (F.L.); (S.W.)
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Yilong Yao
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Yanwen Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China; (D.F.); (Y.L.); (M.Y.)
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (C.Y.); (F.L.); (S.W.)
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Chao Yan
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (C.Y.); (F.L.); (S.W.)
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Fanqinyu Li
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (C.Y.); (F.L.); (S.W.)
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
| | - Shilong Wang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (C.Y.); (F.L.); (S.W.)
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Mei Yu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China; (D.F.); (Y.L.); (M.Y.)
| | - Bingkun Xie
- Guangxi Key Laboratory of Livestock Genetic Improvement, Guangxi Institute of Animal Sciences, Nanning 530001, China;
| | - Zhonglin Tang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China; (D.F.); (Y.L.); (M.Y.)
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; (C.Y.); (F.L.); (S.W.)
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China;
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
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Zeng M, Yan S, Yang P, Li Q, Li J, Fan X, Liu X, Yao Y, Wang W, Chen R, Han G, Yang Y, Tang Z. Circular RNA transcriptome across multiple tissues reveal skeletal muscle-specific circPSME4 regulating myogenesis. Int J Biol Macromol 2023; 251:126322. [PMID: 37591436 DOI: 10.1016/j.ijbiomac.2023.126322] [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: 05/03/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 08/19/2023]
Abstract
There are significant differences in meat production, growth rate and other traits between Western commercial pigs and Chinese local pigs. Comparative transcriptome approaches have identified many coding and non-coding candidate genes associated various traits. However, the expression and function of circular RNAs (circRNAs) in different pig tissues are largely unknown. In this study, we conducted a comprehensive analysis of the genome-wide circRNA expression profile across ten tissues in Luchuan (a Chinese local breed) and Duroc (a Western commercial breed) pigs. We identified a total of 56,254 circRNAs, of which 42.9 % were not previously annotated. We found that 33.7 % of these circRNAs were differentially expressed. Enrichment analysis revealed that differentially expressed circRNAs might contribute to the phenotypic differentiation between Luchuan and Duroc pigs. We identified 538 tissue-specific circRNAs, most of which were specifically expressed in the brain and skeletal muscle. Competitive endogenous RNA network analysis suggested that skeletal muscle-specific circPSME4 was co-expressed with MYOD1 and targeted by ssc-miR-181d-3p. Functional analysis revealed that circPSME4 knockdown could promote the proliferation and differentiation of myoblasts. Together, our findings provide valuable resources of circRNAs for animal breeding and biomedical research. We demonstrated that circPSME4 is a novel regulator of skeletal muscle development.
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Affiliation(s)
- Mu Zeng
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Shanying Yan
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Peng Yang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; School of Life Sciences, Henan University, Kaifeng 475004, China; Shenzhen Research Institute of Henan University, Shenzhen 518000, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Qiaowei Li
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; School of Veterinary Medicine, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - Jiju Li
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Xinhao Fan
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Xiaoqin Liu
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yilong Yao
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Wei Wang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Ruipu Chen
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Guohao Han
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yalan Yang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.
| | - Zhonglin Tang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan 528226, China; School of Life Sciences, Henan University, Kaifeng 475004, China; Shenzhen Research Institute of Henan University, Shenzhen 518000, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China; Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.
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7
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Wang Z, Liang W, Yan D, Tian H, Dong B, Zhao W, Chang G, Chen G. Identification of genes related to growth traits from transcriptome profiles of duck breast muscle tissue. Anim Biotechnol 2023; 34:1239-1246. [PMID: 34965198 DOI: 10.1080/10495398.2021.2018333] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The growth and development of duck skeletal muscle is an important economic trait that is genetically regulated. The internal mechanism underlying the regulation of skeletal muscle growth and development in ducks remains unclear. The purpose of this study was to identify candidate genes related to the growth of duck skeletal muscle. RNA-sequencing technology was used to compare the transcriptome of duck breast muscles in an F2 population with the high breast muscle rate (HB) and the low breast muscle rate (LB). A total of 14,522 genes were confirmed to be expressed in the breast muscle, and 173 differentially expressed genes (DEGs) were identified between the HB and LB groups. Functional analysis showed that these DEGs were mainly involved in biological processes and pathways of fat metabolism and muscle growth, especially the FABP3 and MYL4 involved in the PPAR signaling pathway and cardiac muscle contraction pathway. These findings deepened our understanding of the molecular mechanisms involved in muscle growth in ducks and provided a theoretical basis for improving duck production and breeding of ducks.
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Affiliation(s)
- Zhixiu Wang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Wenshuang Liang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Dan Yan
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Huiyue Tian
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Bingqiang Dong
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Wenming Zhao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Guobin Chang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
| | - Guohong Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, Yangzhou University, Yangzhou, People's Republic of China
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8
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Wang Z, Tian W, Wang D, Guo Y, Cheng Z, Zhang Y, Li X, Zhi Y, Li D, Li Z, Jiang R, Li G, Tian Y, Kang X, Li H, Dunn IC, Liu X. Comparative analyses of dynamic transcriptome profiles highlight key response genes and dominant isoforms for muscle development and growth in chicken. Genet Sel Evol 2023; 55:73. [PMID: 37872550 PMCID: PMC10591418 DOI: 10.1186/s12711-023-00849-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 10/06/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Modern breeding strategies have resulted in significant differences in muscle mass between indigenous chicken and specialized broiler. However, the molecular regulatory mechanisms that underlie these differences remain elusive. The aim of this study was to identify key genes and regulatory mechanisms underlying differences in breast muscle development between indigenous chicken and specialized broiler. RESULTS Two time-series RNA-sequencing profiles of breast muscles were generated from commercial Arbor Acres (AA) broiler (fast-growing) and Chinese indigenous Lushi blue-shelled-egg (LS) chicken (slow-growing) at embryonic days 10, 14, and 18, and post-hatching day 1 and weeks 1, 3, and 5. Principal component analysis of the transcriptome profiles showed that the top four principal components accounted for more than 80% of the total variance in each breed. The developmental axes between the AA and LS chicken overlapped at the embryonic stages but gradually separated at the adult stages. Integrative investigation of differentially-expressed transcripts contained in the top four principal components identified 44 genes that formed a molecular network associated with differences in breast muscle mass between the two breeds. In addition, alternative splicing analysis revealed that genes with multiple isoforms always had one dominant transcript that exhibited a significantly higher expression level than the others. Among the 44 genes, the TNFRSF6B gene, a mediator of signal transduction pathways and cell proliferation, harbored two alternative splicing isoforms, TNFRSF6B-X1 and TNFRSF6B-X2. TNFRSF6B-X1 was the dominant isoform in both breeds before the age of one week. A switching event of the dominant isoform occurred at one week of age, resulting in TNFRSF6B-X2 being the dominant isoform in AA broiler, whereas TNFRSF6B-X1 remained the dominant isoform in LS chicken. Gain-of-function assays demonstrated that both isoforms promoted the proliferation of chicken primary myoblasts, but only TNFRSF6B-X2 augmented the differentiation and intracellular protein content of chicken primary myoblasts. CONCLUSIONS For the first time, we identified several key genes and dominant isoforms that may be responsible for differences in muscle mass between slow-growing indigenous chicken and fast-growing commercial broiler. These findings provide new insights into the regulatory mechanisms underlying breast muscle development in chicken.
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Affiliation(s)
- Zhang Wang
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Weihua Tian
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Dandan Wang
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Yulong Guo
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Zhimin Cheng
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Yanyan Zhang
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Xinyan Li
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Yihao Zhi
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
| | - Donghua Li
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China
| | - Hong Li
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China.
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China.
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China.
| | - Ian C Dunn
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, EH25 9RG, UK.
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, No. 63, Nongye Road, Zhengzhou, 450002, China.
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450002, China.
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou, 450002, China.
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Xu X, Yu Z, Ai N, Liufu S, Liu X, Chen B, Li X, Jiang J, Zhang Y, Ma H, Yin Y. Molecular Mechanism of MYL4 Regulation of Skeletal Muscle Development in Pigs. Genes (Basel) 2023; 14:1267. [PMID: 37372447 DOI: 10.3390/genes14061267] [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: 05/17/2023] [Revised: 06/11/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
The processes of muscle growth and development, including myoblast proliferation, migration, differentiation, and fusion, are modified by a variety of regulatory factors. MYL4 plays an important role in atrial development, atrial cardiomyopathy, muscle-fiber size, and muscle development. The structural variation (SV) of MYL4 was found via the de novo sequencing of Ningxiang pigs, and the existence of SV was verified in the experiments. The genotype distribution of Ningxiang pigs and Large White pigs was detected, and it was found that Ningxiang pigs were mainly of the BB genotype and that Large White pigs were mainly of the AB genotype. However, the molecular mechanisms behind the MYL4-mediated regulation of skeletal muscle development need to be deeply explored. Therefore, RT-qPCR, 3'RACE, CCK8, EdU, Western blot, immunofluorescence, flow cytometry, and bioinformation analysis were used to explore the function of MYL4 in myoblast development. The cDNA of MYL4 was successfully cloned from Ningxiang pigs, and its physicochemical properties were predicted. The expression profiles in six tissues and four stages of Ningxiang pigs and Large White pigs were found to be the highest in the lungs and 30 days after birth. The expression of MYL4 increased gradually with the extension of the myogenic differentiation time. The myoblast function test showed that the overexpression of MYL4 inhibited proliferation and promoted apoptosis and differentiation. The knockdown of MYL4 showed the opposite result. These results enhance our understanding of the molecular mechanisms of muscle development and provide a solid theoretical foundation for further exploring the role of the MYL4 gene in muscle development.
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Affiliation(s)
- Xueli Xu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Zonggang Yu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Nini Ai
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Sui Liufu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Xiaolin Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Bohe Chen
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Xintong Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Jun Jiang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Yuebo Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Haiming Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Yulong Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
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10
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Corbett RJ, Ford LM, Raney NE, Grabowski JM, Ernst CW. Pig fetal skeletal muscle development is associated with genome-wide DNA hypomethylation and corresponding alterations in transcript and microRNA expression. Genome 2023; 66:68-79. [PMID: 36876850 DOI: 10.1139/gen-2022-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
Fetal myogenesis represents a critical period of porcine skeletal muscle development and requires coordinated expression of thousands of genes. Epigenetic mechanisms, including DNA methylation, drive transcriptional regulation during development; however, these processes are understudied in developing porcine tissues. We performed bisulfite sequencing to assess DNA methylation in pig longissimus dorsi muscle at 41- and 70-days gestation (dg), as well as RNA- and small RNA-sequencing to identify coordinated changes in methylation and expression between myogenic stages. We identified 45 739 differentially methylated regions (DMRs) between stages, and the majority (N = 34 232) were hypomethylated at 70 versus 41 dg. Integration of methylation and transcriptomic data revealed strong associations between differential gene methylation and expression. Differential miRNA methylation was significantly negatively correlated with abundance, and dynamic expression of assayed miRNAs persisted postnatally. Motif analysis revealed significant enrichment of myogenic regulatory factor motifs among hypomethylated regions, suggesting that DNA hypomethylation may function to increase accessibility of muscle-specific transcription factors. We show that developmental DMRs are enriched for GWAS SNPs for muscle- and meat-related traits, demonstrating the potential for epigenetic processes to influence phenotypic diversity. Our results enhance understanding of DNA methylation dynamics of porcine myogenesis and reveal putative cis-regulatory elements governed by epigenetic processes.
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Affiliation(s)
- R J Corbett
- Genetics & Genome Sciences Graduate Program, Michigan State University, East Lansing, MI 48824, USA
| | - L M Ford
- Genetics & Genome Sciences Graduate Program, Michigan State University, East Lansing, MI 48824, USA
| | - N E Raney
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
| | - J M Grabowski
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
| | - C W Ernst
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
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11
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Haplotypes within the regulatory region of MYL4 are associated with pig muscle fiber size. Gene 2023; 850:146934. [DOI: 10.1016/j.gene.2022.146934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/08/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022]
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12
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Coordinated transcriptional and post-transcriptional epigenetic regulation during skeletal muscle development and growth in pigs. J Anim Sci Biotechnol 2022; 13:146. [PMID: 36457054 PMCID: PMC9714148 DOI: 10.1186/s40104-022-00791-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 10/06/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND N6-methyladenosine (m6A) and DNA 5-methylcytosine (5mC) methylation plays crucial roles in diverse biological processes, including skeletal muscle development and growth. Recent studies unveiled a potential link between these two systems, implicating the potential mechanism of coordinated transcriptional and post-transcriptional regulation in porcine prenatal myogenesis and postnatal skeletal muscle growth. METHODS Immunofluorescence and co-IP assays were carried out between the 5mC writers and m6A writers to investigate the molecular basis underneath. Large-scale in-house transcriptomic data were compiled for applying weighted correlation network analysis (WGCNA) to identify the co-expression patterns of m6A and 5mC regulators and their potential role in pig myogenesis. Whole-genome bisulfite sequencing (WGBS) and methylated RNA immunoprecipitation sequencing (MeRIP-seq) were performed on the skeletal muscle samples from Landrace pigs at four postnatal growth stages (days 30, 60, 120 and 180). RESULTS Significantly correlated expression between 5mC writers and m6A writers and co-occurrence of 5mC and m6A modification were revealed from public datasets of C2C12 myoblasts. The protein-protein interactions between the DNA methylase and the m6A methylase were observed in mouse myoblast cells. Further, by analyzing transcriptome data comprising 81 pig skeletal muscle samples across 27 developmental stages, we identified a 5mC/m6A epigenetic module eigengene and decoded its potential functions in pre- or post-transcriptional regulation in postnatal skeletal muscle development and growth of pigs. Following integrative multi-omics analyses on the WGBS methylome data and MeRIP-seq data for both m6A and gene expression profiles revealed a genome/transcriptome-wide correlated dynamics and co-occurrence of 5mC and m6A modifications as a consequence of 5mC/m6A crosstalk in the postnatal myogenesis progress of pigs. Last, we identified a group of myogenesis-related genes collaboratively regulated by both 5mC and m6A modifications in postnatal skeletal muscle growth in pigs. CONCLUSIONS Our study discloses a potential epigenetic mechanism in skeletal muscle development and provides a novel direction for animal breeding and drug development of related human muscle-related diseases.
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13
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Liu Y, Fu Y, Yang Y, Yi G, Lian J, Xie B, Yao Y, Chen M, Niu Y, Liu L, Wang L, Zhang Y, Fan X, Tang Y, Yuan P, Zhu M, Li Q, Zhang S, Chen Y, Wang B, He J, Lu D, Liachko I, Sullivan ST, Pang B, Chen Y, He X, Li K, Tang Z. Integration of multi-omics data reveals cis-regulatory variants that are associated with phenotypic differentiation of eastern from western pigs. GENETICS SELECTION EVOLUTION 2022; 54:62. [PMID: 36104777 PMCID: PMC9476355 DOI: 10.1186/s12711-022-00754-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
The genetic mechanisms that underlie phenotypic differentiation in breeding animals have important implications in evolutionary biology and agriculture. However, the contribution of cis-regulatory variants to pig phenotypes is poorly understood. Therefore, our aim was to elucidate the molecular mechanisms by which non-coding variants cause phenotypic differences in pigs by combining evolutionary biology analyses and functional genomics.
Results
We obtained a high-resolution phased chromosome-scale reference genome with a contig N50 of 18.03 Mb for the Luchuan pig breed (a representative eastern breed) and profiled potential selective sweeps in eastern and western pigs by resequencing the genomes of 234 pigs. Multi-tissue transcriptome and chromatin accessibility analyses of these regions suggest that tissue-specific selection pressure is mediated by promoters and distal cis-regulatory elements. Promoter variants that are associated with increased expression of the lysozyme (LYZ) gene in the small intestine might enhance the immunity of the gastrointestinal tract and roughage tolerance in pigs. In skeletal muscle, an enhancer-modulating single-nucleotide polymorphism that is associated with up-regulation of the expression of the troponin C1, slow skeletal and cardiac type (TNNC1) gene might increase the proportion of slow muscle fibers and affect meat quality.
Conclusions
Our work sheds light on the molecular mechanisms by which non-coding variants shape phenotypic differences in pigs and provides valuable resources and novel perspectives to dissect the role of gene regulatory evolution in animal domestication and breeding.
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14
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Notch signaling leads to a slower progression of embryonic myogenic differentiation in Landrace than in Langtang pigs. Acta Biochim Biophys Sin (Shanghai) 2022; 54:1122-1132. [PMID: 35866607 PMCID: PMC9827795 DOI: 10.3724/abbs.2022095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Delving into porcine embryonic myogenesis is the key to elucidate the complex regulation of breed-specific differences in growth performance and meat production. Increasing evidence proves that pigs with less meat production show earlier embryonic myogenesis, but little is known about the underlying mechanisms. In this study, we examine the longissimus dorsi muscle (LDM) by immunohistochemistry and confirm that the differentiation of myogenic progenitors is increased ( P<0.05) in Lantang (LT, fatty) pigs compared with that in Landrace (LR, lean) pigs, which results in more ( P<0.001) differentiated myoblasts (Pax7 -/MyoD +) and less ( P<0.001) myogenic progenitors (Pax7 +/MyoD -) in LT pigs at 35 days post-conception (35dpc). Additionally, embryonic myogenic progenitors isolated from LT pigs show greater ( P<0.001) differentiation capacity with earlier expression of MyoD compared with those from LR pigs. Moreover, Notch signaling is more active ( P<0.05) in LR pig myogenic progenitors than in LT pig myogenic progenitors. Inhibition of Notch signaling in LR myogenic progenitors suppresses Pax7 expression and increases MyoD expression, thus promoting myogenic differentiation. Consistently, the process of myogenic progenitors differentiating into myoblasts in ex vivo embryo limbs is accelerated when Notch signaling is inhibited. These results indicate that Notch signaling facilitates the maintenance of myogenic progenitors and antagonizes myogenic differentiation by promoting Pax7 expression and preventing MyoD expression in LR pigs.
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15
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Niu H, Feng XZ, Shi CW, Zhang D, Chen HL, Huang HB, Jiang YL, Wang JZ, Cao X, Wang N, Zeng Y, Yang GL, Yang WT, Wang CF. Gut Bacterial Composition and Functional Potential of Tibetan Pigs Under Semi-Grazing. Front Microbiol 2022; 13:850687. [PMID: 35464912 PMCID: PMC9023118 DOI: 10.3389/fmicb.2022.850687] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 02/10/2022] [Indexed: 12/28/2022] Open
Abstract
Gut bacterial community plays a key role in maintaining host health. The Tibetan pig (Sus scrofa), an ancient breed in China, has been known for its high adaptability to harsh environments and for its meat quality. To understand the underlying mechanisms facilitating to shape these unique features, in this study, 16S rRNA sequencing using pigs feces and subsequent bacterial functional prediction were performed. Also, the gut bacteria of two other breeds of pigs, Barkshire and Landrace, were examined for comparison. It was revealed that the structure of bacterial community in Tibetan pigs appeared to be more complex; the relative abundances of dominant bacterial families varied inversely with those of the other pigs, and the proportion of Firmicutes in Tibetan pigs was lower, but Bacteroides, Fibrobacterota, Lachnospiraceae, Oscillospiraceae, and Ruminococcaceae were higher. Bacterial functional prediction revealed that the dominant flora in the Tibetan pigs was more correlated with functions regulating the hosts’ immune and inflammatory responses, such as NOD-like_receptor_signaling_pathway and vitamin metabolism. In addition, in Tibetan pigs, the taxonomic relationships in the gut bacteria on day 350 were closer than those on earlier stages. Furthermore, gender played a role in the composition and function of bacterial inhabitants in the gut; for boars, they were more correlated to drug resistance and xenobiotics metabolism of the host compared to the sows. In sum, our preliminary study on the gut bacterial composition of the Tibetan pigs provided an insight into the underlying host–microorganism interactions, emphasizing the role of intestinal bacteria in the context of modulating the host’s immune system and host development.
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16
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Nhieu J, Lin YL, Wei LN. CRABP1 in Non-Canonical Activities of Retinoic Acid in Health and Diseases. Nutrients 2022; 14:nu14071528. [PMID: 35406141 PMCID: PMC9003107 DOI: 10.3390/nu14071528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/01/2022] [Accepted: 04/03/2022] [Indexed: 12/30/2022] Open
Abstract
In this review, we discuss the emerging role of Cellular Retinoic Acid Binding Protein 1 (CRABP1) as a mediator of non-canonical activities of retinoic acid (RA) and relevance to human diseases. We first discuss the role of CRABP1 in regulating MAPK activities and its implication in stem cell proliferation, cancers, adipocyte health, and neuro-immune regulation. We then discuss an additional role of CRABP1 in regulating CaMKII activities, and its implication in heart and motor neuron diseases. Through molecular and genetic studies of Crabp1 knockout (CKO) mouse and culture models, it is established that CRABP1 forms complexes with specific signaling molecules to function as RA-regulated signalsomes in a cell context-dependent manner. Gene expression data and CRABP1 gene single nucleotide polymorphisms (SNPs) of human cancer, neurodegeneration, and immune disease patients implicate the potential association of abnormality in CRABP1 with human diseases. Finally, therapeutic strategies for managing certain human diseases by targeting CRABP1 are discussed.
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Affiliation(s)
| | | | - Li-Na Wei
- Correspondence: ; Tel.: +1-612-6259-402
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17
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Jia B, Xiang D, Shao Q, Hong Q, Quan G, Wu G. Proteomic Exploration of Porcine Oocytes During Meiotic Maturation in vitro Using an Accurate TMT-Based Quantitative Approach. Front Vet Sci 2022; 8:792869. [PMID: 35198619 PMCID: PMC8859466 DOI: 10.3389/fvets.2021.792869] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/20/2021] [Indexed: 01/19/2023] Open
Abstract
The dynamic changes in protein expression are well known to be required for oocyte meiotic maturation. Although proteomic analysis has been performed in porcine oocytes during in vitro maturation, there is still no full data because of the technical limitations at that time. Here, a novel tandem mass tag (TMT)-based quantitative approach was used to compare the proteomic profiles of porcine immature and in vitro mature oocytes. The results of our study showed that there were 763 proteins considered with significant difference−450 over-expressed and 313 under-expressed proteins. The GO and KEGG analyses revealed multiple regulatory mechanisms of oocyte nuclear and cytoplasmic maturation such as spindle and chromosome configurations, cytoskeletal reconstruction, epigenetic modifications, energy metabolism, signal transduction and others. In addition, 12 proteins identified with high-confidence peptide and related to oocyte maturation were quantified by a parallel reaction monitoring technique to validate the reliability of TMT results. In conclusion, we provided a detailed proteomics dataset to enrich the understanding of molecular characteristics underlying porcine oocyte maturation in vitro.
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Affiliation(s)
- Baoyu Jia
- Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Decai Xiang
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Qingyong Shao
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Qionghua Hong
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Guobo Quan
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
- *Correspondence: Guobo Quan
| | - Guoquan Wu
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
- Guoquan Wu
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Yan J, Yang Y, Fan X, Liang G, Wang Z, Li J, Wang L, Chen Y, Adetula AA, Tang Y, Li K, Wang D, Tang Z. circRNAome profiling reveals circFgfr2 regulates myogenesis and muscle regeneration via a feedback loop. J Cachexia Sarcopenia Muscle 2022; 13:696-712. [PMID: 34811940 PMCID: PMC8818660 DOI: 10.1002/jcsm.12859] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 10/15/2021] [Accepted: 10/19/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Circular RNAs (circRNAs) represent a novel class of non-coding RNAs formed by a covalently closed loop and play crucial roles in many biological processes. Several circRNAs associated with myogenesis have been reported. However, the dynamic expression, function, and mechanism of circRNAs during myogenesis and skeletal muscle development are largely unknown. METHODS Strand-specific RNA-sequencing (RNA-seq) and microarray datasets were used to profile the dynamic circRNAome landscape during skeletal muscle development and myogenic differentiation. Bioinformatics analyses were used to characterize the circRNAome and identify candidate circRNAs associated with myogenesis. Bulk and single-cell RNA-seq were performed to identify the downstream genes and pathways of circFgfr2. The primary myoblast cells, C2C12 cells, and animal model were used to assess the function and mechanism of circFgfr2 in myogenesis and muscle regeneration in vitro or in vivo by RT-qPCR, western blotting, dual-luciferase activity assay, RNA immunoprecipitation, RNA fluorescence in situ hybridization, and chromatin immunoprecipitation. RESULTS We profiled the dynamic circRNAome in pig skeletal muscle across 27 developmental stages and detected 52 918 high-confidence circRNAs. A total of 2916 of these circRNAs are conserved across human, mouse, and pig, including four circRNAs (circFgfr2, circQrich1, circMettl9, and circCamta1) that were differentially expressed (|log2 fold change| > 1 and adjusted P value < 0.05) in various myogenesis systems. We further focused on a conserved circRNA produced from the fibroblast growth factor receptor 2 (Fgfr2) gene, termed circFgfr2, which was found to inhibit myoblast proliferation and promote differentiation and skeletal muscle regeneration. Mechanistically, circFgfr2 acted as a sponge for miR-133 to regulate the mitogen-activated protein kinase kinase kinase 20 (Map3k20) gene and JNK/MAPK pathway. Importantly, transcription factor Kruppel like factor 4 (Klf4), the downstream target of the JNK/MAPK pathway, directly bound to the promoter of circFgfr2 and affected its expression via an miR-133/Map3k20/JNK/Klf4 auto-regulatory feedback loop. RNA binding protein G3BP stress granule assembly factor 1 (G3bp1) inhibited the biogenesis of circFgfr2. CONCLUSIONS The present study provides a comprehensive circRNA resource for skeletal muscle study. The functional and mechanistic analysis of circFgfr2 uncovered a circRNA-mediated auto-regulatory feedback loop regulating myogenesis and muscle regeneration, which provides new insight to further understand the regulatory mechanism of circRNAs.
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Affiliation(s)
- Junyu Yan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yalan Yang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xinhao Fan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Guoming Liang
- Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zishuai Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jiju Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Liyuan Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yun Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Adeyinka Abiola Adetula
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yijie Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Dazhi Wang
- Department of Cardiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.,Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China.,GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China.,Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
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19
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Xiang D, Jia B, Guo J, Shao Q, Hong Q, Wei H, Quan G, Wu G. Transcriptome Analysis of mRNAs and Long Non-Coding RNAs During Subsequent Embryo Development of Porcine Cloned Zygotes After Vitrification. Front Genet 2022; 12:753327. [PMID: 34976007 PMCID: PMC8718616 DOI: 10.3389/fgene.2021.753327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 11/17/2021] [Indexed: 11/15/2022] Open
Abstract
Cryopreservation of porcine cloned zygotes has important implications for biotechnology and biomedicine research; however, lower embryo developmental potential remains an urgent problem to be resolved. For exploring the sublethal cryodamages during embryo development, this study was designed to acquire the mRNA and long non-coding RNA (lncRNA) profiles of 2-cells, 4-cells and blastocysts derived from vitrified porcine cloned zygotes using transcriptome sequencing. We identified 167 differentially expressed (DE) mRNAs and 516 DE lncRNAs in 2-cell stage, 469 DE mRNAs and 565 lncRNAs in 4-cell stage, and 389 DE mRNAs and 816 DE lncRNAs in blastocyst stage. Functional enrichment analysis revealed that the DE mRNAs during embryo development were involved in many regulatory mechanisms related to cell cycle, cell proliferation, apoptosis, metabolism and others. Moreover, the target genes of DE lncRNAs in the three embryonic stages were also enriched in many key GO terms or pathways such as “defense response”, “linoleic acid metabolic process”, “embryonic axis specification”, “negative regulation of protein neddylation”, etc., In conclusion, the present study provided comprehensive transcriptomic data about mRNAs and lncRNAs for the vitrified porcine cloned zygotes during different developmental stages, which contributed to further understand the potential cryodamage mechanisms responsible for impaired embryo development.
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Affiliation(s)
- Decai Xiang
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Baoyu Jia
- Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Jianxiong Guo
- Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Qingyong Shao
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Qionghua Hong
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Hongjiang Wei
- Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Guobo Quan
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Guoquan Wu
- Yunnan Provincial Genebank of Livestock and Poultry Genetic Resources, Yunnan Provincial Engineering Laboratory of Animal Genetic Resource Conservation and Germplasm Enhancement, Yunnan Animal Science and Veterinary Institute, Kunming, China
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20
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Yang Y, Yan J, Fan X, Chen J, Wang Z, Liu X, Yi G, Liu Y, Niu Y, Zhang L, Wang L, Li S, Li K, Tang Z. The genome variation and developmental transcriptome maps reveal genetic differentiation of skeletal muscle in pigs. PLoS Genet 2021; 17:e1009910. [PMID: 34780471 PMCID: PMC8629385 DOI: 10.1371/journal.pgen.1009910] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 11/29/2021] [Accepted: 10/25/2021] [Indexed: 12/13/2022] Open
Abstract
Natural and artificial directional selections have resulted in significantly genetic and phenotypic differences across breeds in domestic animals. However, the molecular regulation of skeletal muscle diversity remains largely unknown. Here, we conducted transcriptome profiling of skeletal muscle across 27 time points, and performed whole-genome re-sequencing in Landrace (lean-type) and Tongcheng (obese-type) pigs. The transcription activity decreased with development, and the high-resolution transcriptome precisely captured the characterizations of skeletal muscle with distinct biological events in four developmental phases: Embryonic, Fetal, Neonatal, and Adult. A divergence in the developmental timing and asynchronous development between the two breeds was observed; Landrace showed a developmental lag and stronger abilities of myoblast proliferation and cell migration, whereas Tongcheng had higher ATP synthase activity in postnatal periods. The miR-24-3p driven network targeting insulin signaling pathway regulated glucose metabolism. Notably, integrated analysis suggested SATB2 and XLOC_036765 contributed to skeletal muscle diversity via regulating the myoblast migration and proliferation, respectively. Overall, our results provide insights into the molecular regulation of skeletal muscle development and diversity in mammals.
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Affiliation(s)
- Yalan Yang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
| | - Junyu Yan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xinhao Fan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jiaxing Chen
- Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Zishuai Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Xiaoqin Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Guoqiang Yi
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- Guangxi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
| | - Yuwen Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
| | | | - Longchao Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lixian Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - ShuaiCheng Li
- Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China
- * E-mail: (SCL); (KL); (ZLT)
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
- * E-mail: (SCL); (KL); (ZLT)
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- Guangxi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
- Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
- * E-mail: (SCL); (KL); (ZLT)
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21
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Validation of the Reference Genes for the Gene Expression Studies in Different Cell Lines of Pig. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5364190. [PMID: 34458368 PMCID: PMC8390154 DOI: 10.1155/2021/5364190] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 07/20/2021] [Indexed: 11/30/2022]
Abstract
Reverse transcription quantitative real-time polymerase chain reaction is one of the important methods to investigate gene expression in cells and tissues. However, if the data cannot be normalized with appropriate reference genes, the results may be unreliable. In this study, we detected the expression of 15 reference genes in three pig cell lines. The results showed that SDHA and ALDOA were the most stable reference genes in 3D4/21 cells. TOP2B, TBP, and PPIA were the most stable reference genes in PK-15 cells. SDHA and ALDOA were the most stable reference genes in IPEC-J2 cells. In addition, each cell line only needs to use two reference genes to standardize the expression of target genes. Taken together, this study provides a reference for different pig cell lines to select reference genes and also provides a theoretical basis for the use of these cell lines in related functional researches.
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22
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A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome. Nat Commun 2021; 12:2217. [PMID: 33850120 PMCID: PMC8044108 DOI: 10.1038/s41467-021-22448-x] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 03/15/2021] [Indexed: 02/01/2023] Open
Abstract
Although major advances in genomics have initiated an exciting new era of research, a lack of information regarding cis-regulatory elements has limited the genetic improvement or manipulation of pigs as a meat source and biomedical model. Here, we systematically characterize cis-regulatory elements and their functions in 12 diverse tissues from four pig breeds by adopting similar strategies as the ENCODE and Roadmap Epigenomics projects, which include RNA-seq, ATAC-seq, and ChIP-seq. In total, we generate 199 datasets and identify more than 220,000 cis-regulatory elements in the pig genome. Surprisingly, we find higher conservation of cis-regulatory elements between human and pig genomes than those between human and mouse genomes. Furthermore, the differences of topologically associating domains between the pig and human genomes are associated with morphological evolution of the head and face. Beyond generating a major new benchmark resource for pig epigenetics, our study provides basic comparative epigenetic data relevant to using pigs as models in human biomedical research.
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23
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Zhang X, Yao Y, Han J, Yang Y, Chen Y, Tang Z, Gao F. Longitudinal epitranscriptome profiling reveals the crucial role of N 6-methyladenosine methylation in porcine prenatal skeletal muscle development. J Genet Genomics 2020; 47:466-476. [PMID: 33268291 DOI: 10.1016/j.jgg.2020.07.003] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/03/2020] [Accepted: 07/31/2020] [Indexed: 11/30/2022]
Abstract
N6-methyladenosine (m6A) represents the most abundantly occurring mRNA modification and is involved in the regulation of skeletal muscle development. However, the status and function of m6A methylation in prenatal myogenesis remains unclear. In this study, we first demonstrated that knockdown of METTL14, an m6A methyltransferase, inhibited the differentiation and promoted the proliferation of C2C12 myoblast cells. Then, using a refined m6A-specific methylated RNA immunoprecipitation (RIP) with next generation sequencing (MeRIP-seq) method that is optimal for use with samples containing small amounts of RNA, we performed transcriptome-wide m6A profiling for six prenatal skeletal muscle developmental stages spanning two important waves of porcine myogenesis. The results revealed that, along with a continuous decrease in the mRNA expression of the m6A reader protein insulin-like growth factor 2 mRNA-binding protein 1 (IGF2BP1), the m6A methylome underwent highly dynamic changes across different development stages, with most of the affected genes being enriched in pathways related to skeletal muscle development. RNA immunoprecipitation confirmed that IGF2BP1 targets 76 genes involved in pathways associated with muscle development, including the key marker genes MYH2 and MyoG. Moreover, small interfering RNA (siRNA)-mediated knockdown of IGF2BP1 induced phenotypic changes in C2C12 myoblasts similar to those observed with knockdown of METTL14. In conclusion, we clarified the dynamics of m6A methylation and identified key genes involved in the regulatory network of porcine skeletal muscle development.
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Affiliation(s)
- Xinxin Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Yilong Yao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Jinghua Han
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Yalan Yang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Yun Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - Fei Gao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China; Comparative Pediatrics and Nutrition, Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, DK-2000, Denmark.
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24
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Analysis of Transcriptome and miRNAome in the Muscle of Bamei Pigs at Different Developmental Stages. Animals (Basel) 2020; 10:ani10071198. [PMID: 32679676 PMCID: PMC7401622 DOI: 10.3390/ani10071198] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 06/18/2020] [Accepted: 07/11/2020] [Indexed: 12/25/2022] Open
Abstract
Simple Summary The pigs is the most popular agricultural animal in the world. Muscle growth—which has the highest economic value in pigs—can be regulated by multiple genes and involves complex regulatory mechanisms. It is necessary to understand the dynamics of muscle transcriptome during development to understand the muscle development mechanism. However, the genes and miRNAs that play regulatory roles underlying differences in the meat quality of pigs remain unclear. In the current study, qRT-PCR, miRNA-Seq, and RNA-Seq were applied to analyze and verify muscle tissues of pigs from three different developmental stages and screened genes, miRNAs and pathways related to pig muscle development. This study focused on analyzing the mechanisms of muscle development and uncover the development differences in muscle from embryo to adult. Abstract The growth of skeletal muscle involves complex developmental processes that play an important part in the determinization of pork quality. The investigation of skeletal muscle mRNA or miRNA profiles is especially important for finding molecular approaches to improve meat quality in pig breeding. Therefore, we studied the transcriptome (mRNA and miRNA) profiles of skeletal muscle with RNA-Seq in three developmental stages of pigs: 65-day embryonic (E65), postnatal 0 days (natal) and 10 months (adult). We found 10,035, 9050 and 4841 differentially expressed (DE) genes for natal vs. E65, adult vs. E65 and adult vs. natal, 55, 101 and 85 DE miRNA for natal vs. E65, adult vs. E65 and adult vs. natal, respectively. In addition, the target genes of DE miRNA that was in a negative correlation with the corresponding miRNA in the same comparison group were selected for enrichment analysis. Gene Ontology terms were mainly classified into developmental processes. Pathway analysis revealed enrichment in the Rap1 signaling pathway, citrate cycle and oxidative phosphorylation and carbon. Finally, RT-PCR was employed for validating the level of expression of 11 DE miRNA and 14 DEGs. The transcriptome profiles of skeletal muscle from the different developmental stages of the Bamei pigs were obtained. From these data, hundreds of DE miRNA and mRNA, and the miRNA–mRNA regulatory network can provide valuable insights into further understanding of key molecular mechanisms and improving the meat quality in pig breeding.
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25
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Zhao J, Qin H, Xin J, Liu N, Han R, Perez-Campo FM, Li H. Discovery of genes and proteins possibly regulating mean wool fibre diameter using cDNA microarray and proteomic approaches. Sci Rep 2020; 10:7726. [PMID: 32382132 PMCID: PMC7206055 DOI: 10.1038/s41598-020-64903-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 03/30/2020] [Indexed: 01/06/2023] Open
Abstract
Wool fibre diameter (WFD) is one of the wool traits with higher economic impact. However, the main genes specifically regulating WFD remain unidentified. In this current work we have used Agilent Sheep Gene Expression Microarray and proteomic technology to investigate the gene expression patterns of body side skin, bearing more wool, in Aohan fine wool sheep, a Chinese indigenous breed, and compared them with that of small tail Han sheep, a sheep bread with coarse wool. Microarray analyses showed that most of the genes likely determining wool diameter could be classified into a few categories, including immune response, regulation of receptor binding and growth factor activity. Certain gene families might play a role in hair growth regulation. These include growth factors, immune cytokines, solute carrier families, cellular respiration and glucose transport amongst others. Proteomic analyses also identified scores of differentially expressed proteins.
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Affiliation(s)
- Jinshan Zhao
- Qingdao Agricultural University, Qingdao, China
- Qingdao Scitop Academy of Lactobacillus Co., Ltd, Qingdao, China
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, China
- China Agricultural University, Beijing, China
| | | | | | - Nan Liu
- Qingdao Agricultural University, Qingdao, China
| | - Rongwei Han
- Qingdao Agricultural University, Qingdao, China
| | | | - Hegang Li
- Qingdao Agricultural University, Qingdao, China.
- Qingdao Scitop Academy of Lactobacillus Co., Ltd, Qingdao, China.
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, China.
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26
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Huang T, Yang M, Dong K, Xu M, Liu J, Chen Z, Zhu S, Chen W, Yin J, Jin K, Deng Y, Guan Z, Huang X, Yang J, Han R, Yao M. A transcriptional landscape of 28 porcine tissues obtained by super deepSAGE sequencing. BMC Genomics 2020; 21:229. [PMID: 32171242 PMCID: PMC7071599 DOI: 10.1186/s12864-020-6628-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 02/26/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Gene expression regulators identified in transcriptome profiling experiments may serve as ideal targets for genetic manipulations in farm animals. RESULTS In this study, we developed a gene expression profile of 76,000+ unique transcripts for 224 porcine samples from 28 tissues collected from 32 animals using Super deepSAGE technology. Excellent sequencing depth was achieved for each multiplexed library, and replicated samples from the same tissues clustered together, demonstrating the high quality of Super deepSAGE data. Comparison with previous research indicated that our results not only have good reproducibility but also have greatly extended the coverage of the sample types as well as the number of genes. Clustering analysis revealed ten groups of genes showing distinct expression patterns among these samples. Our analysis of over-represented binding motifs identified 41 regulators, and we demonstrated a potential application of this dataset in infectious diseases and immune biology research by identifying an LPS-dependent transcription factor, runt-related transcription factor 1 (RUNX1), in peripheral blood mononuclear cells (PBMCs). The selected genes are specifically responsible for the transcription of toll-like receptor 2 (TLR2), lymphocyte-specific protein tyrosine kinase (LCK), and vav1 oncogene (VAV1), which belong to the T and B cell signaling pathways. CONCLUSIONS The Super deepSAGE technology and tissue-differential expression profiles are valuable resources for investigating the porcine gene expression regulation. The identified RUNX1 target genes belong to the T and B cell signaling pathways, making them novel potential targets for the diagnosis and therapy of bacterial infections and other immune disorders.
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Affiliation(s)
- Tinghua Huang
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Min Yang
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Kaihui Dong
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Mingjiang Xu
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Jinhui Liu
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Zhi Chen
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Shijia Zhu
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Wang Chen
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Jun Yin
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Kai Jin
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Yu Deng
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Zhou Guan
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Xiali Huang
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Jun Yang
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Rongxun Han
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China
| | - Min Yao
- College of Animal Science, Yangtze University, Jingzhou, 434025, Hubei, China.
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Li X, Xie S, Qian L, Cai C, Bi H, Cui W. Identification of genes related to skeletal muscle growth and development by integrated analysis of transcriptome and proteome in myostatin-edited Meishan pigs. J Proteomics 2020; 213:103628. [DOI: 10.1016/j.jprot.2019.103628] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 11/08/2019] [Accepted: 12/22/2019] [Indexed: 12/29/2022]
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28
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Ma X, Jia C, Chu M, Fu D, Lei Q, Ding X, Wu X, Guo X, Pei J, Bao P, Yan P, Liang C. Transcriptome and DNA Methylation Analyses of the Molecular Mechanisms Underlying with Longissimus dorsi Muscles at Different Stages of Development in the Polled Yak. Genes (Basel) 2019; 10:genes10120970. [PMID: 31779203 PMCID: PMC6947547 DOI: 10.3390/genes10120970] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 11/21/2019] [Accepted: 11/21/2019] [Indexed: 02/04/2023] Open
Abstract
DNA methylation modifications are implicated in many biological processes. As the most common epigenetic mechanism DNA methylation also affects muscle growth and development. The majority of previous studies have focused on different varieties of yak, but little is known about the epigenetic regulation mechanisms in different age groups of animals. The development of muscles in the different stages of yak growth remains unclear. In this study, we selected the longissimus dorsi muscle tissue at three different growth stages of the yak, namely, 90-day-old fetuses (group E), six months old (group M), and three years old (group A). Using RNA-Seq transcriptome sequencing and methyl-RAD whole-genome methylation sequencing technology, changes in gene expression levels and DNA methylation status throughout the genome were investigated during the stages of yak development. Each group was represented by three biological replicates. The intersections of expression patterns of 7694 differentially expressed genes (DEGs) were identified (padj < 0.01, |log2FC| > 1.2) at each of the three developmental periods. Time-series expression profile clustering analysis indicated that the DEGs were significantly arranged into eight clusters which could be divided into two classes (padj < 0.05), class I profiles that were downregulated and class II profiles that were upregulated. Based on this cluster analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that DEGs from class I profiles were significantly (padj < 0.05) enriched in 21 pathways, the most enriched pathway being the Axon guidance signaling pathway. DEGs from the class II profile were significantly enriched in 58 pathways, the pathway most strongly enriched being Metabolic pathway. After establishing the methylation profiles of the whole genomes, and using two groups of comparisons, the three combinations of groups (M-vs.-E, M-vs.-A, A-vs.-E) were found to have 1344, 822, and 420 genes, respectively, that were differentially methylated at CCGG sites and 2282, 3056, and 537 genes, respectively, at CCWGG sites. The two sets of data were integrated and the negative correlations between DEGs and differentially methylated promoters (DMPs) analyzed, which confirmed that TMEM8C, IGF2, CACNA1S and MUSTN1 were methylated in the promoter region and that expression of the modified genes was negatively correlated. Interestingly, these four genes, from what was mentioned above, perform vital roles in yak muscle growth and represent a reference for future genomic and epigenomic studies in muscle development, in addition to enabling marker-assisted selection of growth traits.
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Affiliation(s)
- Xiaoming Ma
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Congjun Jia
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Min Chu
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Donghai Fu
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Qinhui Lei
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xuezhi Ding
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xiaoyun Wu
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Xian Guo
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Jie Pei
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Pengjia Bao
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
| | - Ping Yan
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (X.M.); (C.J.); (M.C.); (D.F.); (Q.L.); (X.D.); (X.W.); (X.G.); (J.P.); (P.B.)
- Correspondence: (P.Y.); (C.L.); Tel.: +86-0931-2115288 (P.Y.); +86-0931-2115271 (C.L.)
| | - Chunnian Liang
- Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China
- Correspondence: (P.Y.); (C.L.); Tel.: +86-0931-2115288 (P.Y.); +86-0931-2115271 (C.L.)
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Hong L, Gu T, He Y, Zhou C, Hu Q, Wang X, Zheng E, Huang S, Xu Z, Yang J, Yang H, Li Z, Liu D, Cai G, Wu Z. Genome-Wide Analysis of Circular RNAs Mediated ceRNA Regulation in Porcine Embryonic Muscle Development. Front Cell Dev Biol 2019; 7:289. [PMID: 31803743 PMCID: PMC6877547 DOI: 10.3389/fcell.2019.00289] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/05/2019] [Indexed: 12/19/2022] Open
Abstract
Many circular RNAs (circRNAs) have been discovered in various tissues and cell types in pig. However, the temporal expression pattern of circRNAs during porcine embryonic muscle development remains unclear. Here, we present a panorama view of circRNA expression in embryonic muscle development at 33-, 65-, and 90-days post-coitus (dpc) from Duroc pigs. An unbiased analysis reveals that more than 5,000 circRNAs specifically express in embryonic muscle development. The amount and complexity of circRNA expression is most pronounced in skeletal muscle at day 33 of gestation. Our circRNAs annotation analyses show that “hot-spot” genes produce multiple circRNA isoforms and RNA binding protein (RBPs) may regulate the biogenesis of circRNAs. Furthermore, we observed that host genes of differentially expressed circRNA across porcine muscle development are enriched in skeletal muscle function. A competing endogenous RNA (ceRNA) network analysis of circRNAs reveals that circRNAs regulate muscle gene expression by functioning as miRNA sponges. Finally, our experimental validation demonstrated that circTUT7 regulate the expression of HMG20B in a ceRNA mechanism. Our analyses show that circRNAs are dynamically expressed and interacting with muscle genes through ceRNA manner, suggesting their critical functions in embryonic skeletal muscle development.
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Affiliation(s)
- Linjun Hong
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Ting Gu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Yanjuan He
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Chen Zhou
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Qun Hu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Xingwang Wang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Enqin Zheng
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Sixiu Huang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Zheng Xu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Jie Yang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Huaqiang Yang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Zicong Li
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Dewu Liu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Gengyuan Cai
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, China
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Ding S, Nie Y, Zhang X, Liu X, Wang C, Yuan R, Chen K, Zhu Q, Cai S, Fang Y, Chen Y, Mo D. The SNPs in myoD gene from normal muscle developing individuals have no effect on muscle mass. BMC Genet 2019; 20:72. [PMID: 31477002 PMCID: PMC6720383 DOI: 10.1186/s12863-019-0772-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 08/19/2019] [Indexed: 11/18/2022] Open
Abstract
Background Myogenic Differentiation 1 (MyoD) is a crucial master switch in regulating muscle-specific gene transcription. Forced expression of myoD is equipped to induce several cell lineages into myoblast, which then differentiate and fuse into myotube. Pig is one of the most significant livestock supplying meat, and has been classified into lean, fat and miniature pig breeds. However, the mechanisms underlying muscle mass variation among different pig breeds have remained unclear. Considering the important effect of MyoD on muscle development, it remains to be investigated whether the difference in muscle mass is caused by its single nucleotide polymorphisms (SNPs) which are the major differences among pig breeds at DNA level. Results In this study, we identified the locations of porcine myoD regulatory regions including proximal regulatory region (PRR), distal regulatory region (DRR), and core enhancer (CE) region. There are 8 SNPs in the regulatory regions and 6 SNPs in gene body region, which were identified from lean, fat and miniature pig populations. However, these SNPs have no effects on its temporal expression and transcriptional activity which might lead to the distinction in postnatal muscle mass. In addition, overexpression of myoD clones across from amphibious to mammals including xenopus tropicalis, chicken, mouse and pig whose gene identities vary from 68 to 84%, could promote myogenesis in NIH3T3 fibroblasts cells. Conclusions These results proved that myoD nucleotide variations from different pig populations have no effect on muscle mass, suggesting that the function of myoD is highly conserved not only among different pig breeds, but also across different species. Thus, it would be futile to discover SNPs affecting muscle mass in pig populations with normal muscle development. Electronic supplementary material The online version of this article (10.1186/s12863-019-0772-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Suying Ding
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Yaping Nie
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Xumeng Zhang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Chen Wang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Renqiang Yuan
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Keren Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Qi Zhu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Shufang Cai
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Ying Fang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Delin Mo
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
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31
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Zhang X, Cai S, Chen L, Yuan R, Nie Y, Ding S, Fang Y, Zhu Q, Chen K, Wei H, Chen Y, Mo D. Integrated miRNA-mRNA transcriptomic analysis reveals epigenetic-mediated embryonic muscle growth differences between Wuzhishan and Landrace pigs1. J Anim Sci 2019; 97:1967-1978. [PMID: 31222274 DOI: 10.1093/jas/skz091] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 03/08/2019] [Indexed: 02/07/2023] Open
Abstract
Pig is one of the major dietary protein sources for human consumption, from which muscle is the largest protein origin. However, molecular mechanisms concerning early porcine embryonic muscle development distinctions between pig breeds are still unclear. In this study, an integrated analysis of transcriptome and miRNAome was conducted using longissimus dorsi muscle of 4 early embryonic stages around the primary myofiber formation time (18-, 21-, 28-, and 35-d post coitus) from 2 pig breeds (Landrace [LR] and Wuzhishan [WZS]) differing in meat mass. The global miRNA/mRNA expression profile showed that WZS prepared for myogenic developmental processes earlier than LR. After identifying and analyzing the interaction network of top 100 up-/down-regulated miRNA and their target genes, we were able to find 3 gene clusters: chromatin modification-related (Chd2, H3f3a, Chd6, and Mll1), myogenesis-related (Pax3, Pbx1, Mef2a, and Znf423), and myosin component-related (Mylk, Myo5a, Mylk4, Myh9, and Mylk2) gene clusters. These genes may involve in miRNA-gene myogenic regulatory network that plays vital role in regulating distinct early porcine embryonic myogenic processes between LR and WZS. In summary, our study reveals an epigenetic-mediated myogenic regulatory axial that will help us to decipher molecular mechanisms concerning early porcine embryonic muscle development distinctions between pig breeds.
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Affiliation(s)
- Xumeng Zhang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China.,Shenzhen Kingsino Technology Co., Ltd., Shenzhen, Guangdong, China
| | - Shufang Cai
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Luxi Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Renqiang Yuan
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yaping Nie
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Suying Ding
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Ying Fang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Qi Zhu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Keren Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Hong Wei
- Shenzhen Kingsino Technology Co., Ltd., Shenzhen, Guangdong, China
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Delin Mo
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
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Zheng S, Li D, Zhou C, Zhang S, Wu Y, Chang Y, Chen Y, Huang J, Ning C, Zhang G, Zhang L. Molecular identification and epidemiological comparison of Cryptosporidium spp. among different pig breeds in Tibet and Henan, China. BMC Vet Res 2019; 15:101. [PMID: 30922311 PMCID: PMC6438020 DOI: 10.1186/s12917-019-1847-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 03/18/2019] [Indexed: 02/04/2023] Open
Abstract
Background Cryptosporidium spp. are important zoonotic pathogens infecting a wide range of vertebrate hosts, and causing moderate to severe diarrhea in humans. Cryptosporidium infections are frequently reported in humans and animals worldwide, but little research has been done on local pig breeds such as Tibetan pigs and Yunan Black pigs and imported pig breeds such as Landrace pigs in China. Therefore, a total of 1089 pig fecal samples from four intensive farms in four areas of China, including Tibetan pigs from Gongbujiangda County (n = 180) and Mainling County (n = 434), Tibet, Yunan Black pigs from Sanmenxia, Henan Province (n = 246), and Landrace pigs from Kaifeng, Henan Province (n = 229), and were screened for the presence of Cryptosporidium with microscopy and nested PCR amplification of the small subunit rRNA gene. Results The total infection rate of Cryptosporidium in 1089 fecal samples of three different pig breeds was 2.11% (23/1089), and the infection rates of Tibetan pigs, Yunan Black pigs, and Landrace pigs were 0.49% (3/614), 0.41% (1/246), and 8.30% (19/229), respectively. The prevalence of Cryptosporidium infection was significantly higher in weaned piglets (1–2 months) (4.36%, 21/482) than in younger and older age groups (p < 0.01). Sequence analysis of positive samples revealed that there was no mixed infection in our study population, which included 12 cases of C. suis mono-infections (52.17%, 12/23) and 11 cases of C. scrofarum mono-infections (47.83%, 11/23). C. suis was identified in one pre-weaned piglet (< 1 month) and 11 weaned piglets (1–2 months), while C. scrofarum was only detected in 10 weaned piglets (1–2 months) and one finished pig (> 2 months). Conclusions This is the first report on the identification of Cryptosporidium spp. in Tibetan pigs, and our findings also elucidate the occurrence and distribution of Cryptosporidium in three different pig breeds in Tibet and Henan, China. More molecular epidemiological studies are required to better clarify the prevalence and public health significance of Cryptosporidium in different pigs.
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Affiliation(s)
- Shuangjian Zheng
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Dongfang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Chunxiang Zhou
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China.,College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, China
| | - Sumei Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Yayun Wu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Yankai Chang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Yuancai Chen
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Jianying Huang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Changshen Ning
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Gaiping Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China
| | - Longxian Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China.
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33
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Xie S, Li X, Qian L, Cai C, Xiao G, Jiang S, Li B, Gao T, Cui W. An integrated analysis of mRNA and miRNA in skeletal muscle from myostatin-edited Meishan pigs. Genome 2019; 62:305-315. [PMID: 30913397 DOI: 10.1139/gen-2018-0110] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Myostatin (MSTN) is a key muscle factor that negatively regulates skeletal muscle growth and development. Our laboratory recently produced genetically engineered Meishan pigs containing a ZFN-edited MSTN loss-of-function mutation (MSTN-/-, MKO) that led to the hypertrophy of skeletal muscles. In this study, we performed transcriptome sequencing and miRNA sequencing in skeletal muscle samples from MKO and wildtype Meishan (MWT) pigs to investigate the effect of MSTN-/- on expression of mRNA and miRNA. Our results indicated that, compared to MWT pigs, there were 200 genes and 4 miRNAs being significantly up-regulated, and 238 genes and 5 miRNAs being significantly down-regulated in MKO pigs. Analysis by GO and KEGG pathways revealed that differentially expressed miRNAs and their target genes of those differentially expressed miRNAs were involved in the signal pathways of skeletal muscle growth and development such as AMPK, mTOR, and TGF-beta. An integrated analysis of the correlation between miRNA-mRNA and transcriptome predicated that XK and METTL8 were target genes for miR-499-5p, while LRP4 was a target gene for miR-490-3p. Our results provide important clues to help us further investigate MSTN's regulatory mechanisms during skeletal muscle growth and development.
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Affiliation(s)
- Shanshan Xie
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Xiang Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Lili Qian
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Chunbo Cai
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Gaojun Xiao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Shengwang Jiang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Biao Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Ting Gao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
| | - Wentao Cui
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.,Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China
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34
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Yu X, Wang Z, Sun H, Yang Y, Li K, Tang Z. Long non-coding MEG3 is a marker for skeletal muscle development and meat production traits in pigs. Anim Genet 2018; 49:571-578. [PMID: 30294799 DOI: 10.1111/age.12712] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2018] [Indexed: 01/02/2023]
Abstract
Long non-coding RNAmaternally expressed gene 3 (lncRNAMEG3) plays an important role in mammalian muscle development. Our previous transcriptome study showed that lncRNAMEG3 is differentially expressed during postnatal skeletal muscle development in pigs. The objective of the present study was to analyse the role of lncRNAMEG3 in prenatal and postnatal skeletal muscle development and investigate the association of MEG3 with meat production traits in pigs. We investigated the sequence conservation and temporal-spatial expression of lncRNAMEG3 and identified its core promoter and single nucleotide polymorphisms (SNPs). Our results show that MEG3 is conserved among pig, human and mouse and is expressed in a tissue-specific manner with high expression levels in kidney and leg and dorsal muscles. In addition, MEG3 is more abundant in prenatal muscle compared to postnatal muscle, and its expression peaks at gestational day 60. Notably, we observed almost no expression 40 days after birth. The core promoter of MEG3 is located upstream of the transcription initiation site between -447 and -40 bp. In our SNP linkage disequilibrium and association analyses, four of the 10 potential polymorphism sites were found to be associated with corrected back fat thickness and age to reach 100 kg (rs325797437, rs344501106, rs81286029 and rs318656749). In addition, three haplotypes were found to be associated with differences in corrected age to reach 100 kg (AAAT, AAAT/GGGC, GAAT/GGGC). Our results indicate that MEG3 regulates skeletal muscle development and is a candidate gene for improving meat production traits in pigs.
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Affiliation(s)
- X Yu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,Group of Pig Genomic Design and Breeding, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Z Wang
- Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong
| | - H Sun
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Y Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - K Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Z Tang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,Group of Pig Genomic Design and Breeding, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
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35
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Liang G, Yang Y, Niu G, Tang Z, Li K. Genome-wide profiling of Sus scrofa circular RNAs across nine organs and three developmental stages. DNA Res 2017; 24:523-535. [PMID: 28575165 PMCID: PMC5737845 DOI: 10.1093/dnares/dsx022] [Citation(s) in RCA: 117] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 05/03/2017] [Indexed: 01/15/2023] Open
Abstract
The spatio-temporal expression patterns of Circular RNA (circRNA) across organs and developmental stages are critical for its function and evolution analysis. However, they remain largely unclear in mammals. Here, we comprehensively analysed circRNAs in nine organs and three skeletal muscles of Guizhou miniature pig (S. scrofa), a widely used biomedical model animal. We identified 5,934 circRNAs and analysed their molecular properties, sequence conservation, spatio-temporal expression pattern, potential function, and interaction with miRNAs. S. scrofa circRNAs show modest sequence conservation with human and mouse circRNAs, are flanked by long introns, exhibit low abundance, and are expressed dynamically in a spatio-temporally specific manner. S. scrofa circRNAs show the greatest abundance and complexity in the testis. Notably, 31% of circRNAs harbour well-conserved canonical miRNA seed matches, suggesting that some circRNAs act as miRNAs sponges. We identified 149 circRNAs potentially associated with muscle growth and found that their host genes were significantly involved in muscle development, contraction, chromatin modification, cation homeostasis, and ATP hydrolysis-coupled proton transport; moreover, this set of genes was markedly enriched in genes involved in tight junctions and the calcium signalling pathway. Finally, we constructed the first public S. scrofa circRNA database, allowing researchers to query comprehensive annotation, expression, and regulatory networks of circRNAs.
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Affiliation(s)
- Guoming Liang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.,Department of Pig Genomic Design and Breeding, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.,Shenzhen Key Laboratory of Phenotype Analysis and Utilization of Agricultural Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yalan Yang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.,Department of Pig Genomic Design and Breeding, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.,Shenzhen Key Laboratory of Phenotype Analysis and Utilization of Agricultural Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Guanglin Niu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhonglin Tang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.,Department of Pig Genomic Design and Breeding, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.,Shenzhen Key Laboratory of Phenotype Analysis and Utilization of Agricultural Genome, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Kui Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.,Department of Pig Genomic Design and Breeding, Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
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36
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Systematic Identification and Molecular Characteristics of Long Noncoding RNAs in Pig Tissues. BIOMED RESEARCH INTERNATIONAL 2017; 2017:6152582. [PMID: 29062838 PMCID: PMC5618743 DOI: 10.1155/2017/6152582] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 07/26/2017] [Accepted: 08/08/2017] [Indexed: 12/15/2022]
Abstract
Long noncoding RNAs (lncRNAs) are non-protein-coding RNAs that are involved in a variety of biological processes. The pig is an important farm animal and an ideal biomedical model. In this study, we performed a genome-wide scan for lncRNAs in multiple tissue types from pigs. A total of 118 million paired-end 90 nt clean reads were obtained via strand-specific RNA sequencing, 80.4% of which were aligned to the pig reference genome. We developed a stringent bioinformatics pipeline to identify 2,139 high-quality multiexonic lncRNAs. The characteristic analysis revealed that the novel lncRNAs showed relatively shorter transcript length, fewer exons, and lower expression levels in comparison with protein-coding genes (PCGs). The guanine-cytosine (GC) content of the protein-coding exons and introns was significantly higher than that of the lncRNAs. Moreover, the single nucleotide polymorphism (SNP) density of lncRNAs was significantly higher than that of PCGs. Conservation analysis revealed that most lncRNAs were evolutionarily conserved among pigs, humans, and mice, such as CUFF.253988.1, which shares homology with human long noncoding RNA MALAT1. The findings of our study significantly increase the number of known lncRNAs in pigs.
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37
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Tao X, Liang Y, Yang X, Pang J, Zhong Z, Chen X, Yang Y, Zeng K, Kang R, Lei Y, Ying S, Gong J, Gu Y, Lv X. Transcriptomic profiling in muscle and adipose tissue identifies genes related to growth and lipid deposition. PLoS One 2017; 12:e0184120. [PMID: 28877211 PMCID: PMC5587268 DOI: 10.1371/journal.pone.0184120] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 08/18/2017] [Indexed: 11/23/2022] Open
Abstract
Growth performance and meat quality are important traits for the pig industry and consumers. Adipose tissue is the main site at which fat storage and fatty acid synthesis occur. Therefore, we combined high-throughput transcriptomic sequencing in adipose and muscle tissues with the quantification of corresponding phenotypic features using seven Chinese indigenous pig breeds and one Western commercial breed (Yorkshire). We obtained data on 101 phenotypic traits, from which principal component analysis distinguished two groups: one associated with the Chinese breeds and one with Yorkshire. The numbers of differentially expressed genes between all Chinese breeds and Yorkshire were shown to be 673 and 1056 in adipose and muscle tissues, respectively. Functional enrichment analysis revealed that these genes are associated with biological functions and canonical pathways related to oxidoreductase activity, immune response, and metabolic process. Weighted gene coexpression network analysis found more coexpression modules significantly correlated with the measured phenotypic traits in adipose than in muscle, indicating that adipose regulates meat and carcass quality. Using the combination of differential expression, QTL information, gene significance, and module hub genes, we identified a large number of candidate genes potentially related to economically important traits in pig, which should help us improve meat production and quality.
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Affiliation(s)
- Xuan Tao
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Yan Liang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Xuemei Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Jianhui Pang
- Chengdu Biotechservice Institute, Chengdu, Sichuan, China
| | - Zhijun Zhong
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Xiaohui Chen
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Yuekui Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Kai Zeng
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Runming Kang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Yunfeng Lei
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Sancheng Ying
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Jianjun Gong
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Yiren Gu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
- * E-mail: (YRG); (XBL)
| | - Xuebin Lv
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
- * E-mail: (YRG); (XBL)
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38
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Xie S, Chen L, Zhang X, Liu X, Chen Y, Mo D. An integrated analysis revealed different microRNA-mRNA profiles during skeletal muscle development between Landrace and Lantang pigs. Sci Rep 2017; 7:2516. [PMID: 28566753 PMCID: PMC5451474 DOI: 10.1038/s41598-017-02558-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 04/13/2017] [Indexed: 11/12/2022] Open
Abstract
Pigs supply vital dietary proteins for human consumption, and their economic value depends largely on muscle production. MicroRNAs are known to play important roles in skeletal muscle development. However, their relationship to distinct muscle production between pig breeds remains unknown. Here, we performed an integrated analysis of microRNA-mRNA expression profiles for Landrace (LR, lean) pigs and the Chinese indigenous Lantang pig (LT, lard-type) during 8 stages of skeletal muscle developmental, including at 35, 49, 63, 77 dpc (days post coitum) and 2, 28, 90, 180 dpn (days postnatal). As differentially expressed-miRNA expression profiles can be well classified into two clusters by PCA analysis, we grouped the embryonic stages as G1 and the postnatal stages as G2. A total of 203 genes were predicted miRNA targets, and a STEM analysis showed distinct expression patterns between G1 and G2 in both breeds based on their transcriptomic data. Furthermore, a STRING analysis predicted interactions between 22 genes and 35 miRNAs, including some crucial myogenic factors and myofibrillar genes. Thus, it can be reasonably speculated that myogenic miRNAs may regulate myofibrillar genes in myofiber formation during embryonic stages and muscle hypertrophy during postnatal stages, leading to distinct differences in muscle production between breeds.
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Affiliation(s)
- Shuihua Xie
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
- General Station of Animal Husbandry Technology Extension, Department of Agriculture of Guangdong Province, Guangzhou, 510500, Guangdong, China
| | - Luxi Chen
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Xumeng Zhang
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China
| | - Delin Mo
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
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39
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Comparative analysis of DNA methylome and transcriptome of skeletal muscle in lean-, obese-, and mini-type pigs. Sci Rep 2017; 7:39883. [PMID: 28045116 PMCID: PMC5206674 DOI: 10.1038/srep39883] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 11/29/2016] [Indexed: 02/07/2023] Open
Abstract
DNA methylation plays a pivotal role in biological processes by affecting gene expression. However, how DNA methylation mediates phenotype difference of skeletal muscle between lean-, obese-, and mini-type pigs remains unclear. We systematically carried out comparative analysis of skeletal muscle by integrating analysis of genome-wide DNA methylation, mRNA, lncRNA and miRNA profiles in three different pig breeds (obese-type Tongcheng, lean-type Landrace, and mini-type Wuzhishan pigs). We found that the differentially methylated genes (DMGs) were significantly associated with lipid metabolism, oxidative stress and muscle development. Among the identified DMGs, 253 genes were related to body-size and obesity. A set of lncRNAs and mRNAs including UCP3, FHL1, ANK1, HDAC4, and HDAC5 exhibited inversely changed DNA methylation and expression level; these genes were associated with oxidation reduction, fatty acid metabolism and cell proliferation. Gene regulatory networks involved in phenotypic variation of skeletal muscle were related to lipid metabolism, cellular movement, skeletal muscle development, and the p38 MAPK signaling pathway. DNA methylation potentially influences the propensity for obesity and body size by affecting gene expression in skeletal muscle. Our findings provide an abundant information of epigenome and transcriptome that will be useful for animal breeding and biomedical research.
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40
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Niu G, Yang Y, Zhang Y, Hua C, Wang Z, Tang Z, Li K. Identifying suitable reference genes for gene expression analysis in developing skeletal muscle in pigs. PeerJ 2016; 4:e2428. [PMID: 27994956 PMCID: PMC5157201 DOI: 10.7717/peerj.2428] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 08/11/2016] [Indexed: 11/20/2022] Open
Abstract
The selection of suitable reference genes is crucial to accurately evaluate and normalize the relative expression level of target genes for gene function analysis. However, commonly used reference genes have variable expression levels in developing skeletal muscle. There are few reports that systematically evaluate the expression stability of reference genes across prenatal and postnatal developing skeletal muscle in mammals. Here, we used quantitative PCR to examine the expression levels of 15 candidate reference genes (ACTB, GAPDH, RNF7, RHOA, RPS18, RPL32, PPIA, H3F3, API5, B2M, AP1S1, DRAP1, TBP, WSB, and VAPB) in porcine skeletal muscle at 26 different developmental stages (15 prenatal and 11 postnatal periods). We evaluated gene expression stability using the computer algorithms geNorm, NormFinder, and BestKeeper. Our results indicated that GAPDH and ACTB had the greatest variability among the candidate genes across prenatal and postnatal stages of skeletal muscle development. RPS18, API5, and VAPB had stable expression levels in prenatal stages, whereas API5, RPS18, RPL32, and H3F3 had stable expression levels in postnatal stages. API5 and H3F3 expression levels had the greatest stability in all tested prenatal and postnatal stages, and were the most appropriate reference genes for gene expression normalization in developing skeletal muscle. Our data provide valuable information for gene expression analysis during different stages of skeletal muscle development in mammals. This information can provide a valuable guide for the analysis of human diseases.
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Affiliation(s)
- Guanglin Niu
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yalan Yang
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - YuanYuan Zhang
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Chaoju Hua
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zishuai Wang
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhonglin Tang
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Kui Li
- The Key Laboratory for Domestic Animal Genetic Resources and Breeding of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
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41
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Butchart LC, Fox A, Shavlakadze T, Grounds MD. The long and short of non-coding RNAs during post-natal growth and differentiation of skeletal muscles: Focus on lncRNA and miRNAs. Differentiation 2016; 92:237-248. [DOI: 10.1016/j.diff.2016.05.003] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 04/29/2016] [Accepted: 05/09/2016] [Indexed: 10/21/2022]
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42
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Zhao J, Liu N, Liu K, He J, Yu J, Bu R, Cheng M, De W, Liu J, Li H. Identification of genes and proteins associated with anagen wool growth. Anim Genet 2016; 48:67-79. [PMID: 27611105 DOI: 10.1111/age.12480] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2016] [Indexed: 02/03/2023]
Abstract
Identifying genes of major effect for wool growth would offer strategies for improving the quality and increasing the yield of fine wool. In this study, we employed the Agilent Sheep Gene Expression Microarray and proteomic technology to investigate the gene expression patterns of body side skin (more wool growing) in Aohan fine wool sheep (a Chinese indigenous breed) in comparison with groin skin (no wool growing) at the anagen stage of the wool follicle. A microarray study revealed that 4772 probes were differentially expressed, including 2071 upregulated and 2701 downregulated probes, in the comparisons of body side skin vs. groin skin (S/G). The microarray results were verified by means of quantitative PCR. A total of 1099 probes were assigned to unique genes/transcripts. The number of distinct genes/transcripts (annotated) was 926, of which 352 were upregulated and 574 were downregulated. In S/G, 13 genes were upregulated by more than 10 fold, whereas 60 genes were downregulated by more than 10 fold. Further analysis revealed that the majority of the genes possibly related to the wool growth could be assigned to categories including regulation of cell division, intermediate filament, cytoskeletal part and growth factor activity. Several potential gene families may participate in hair growth regulation, including fibroblast growth factors, transforming growth factor-β, WNTs, insulin-like growth factor, vascular endothelial growth factors and so on. Proteomic analysis also revealed 196 differentially expressed protein points, of which 121 were identified as single protein points.
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Affiliation(s)
- J Zhao
- Qingdao Agricultural University, Qingdao, 266109, China.,Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China.,China Agricultural University, Beijing, 100193, China
| | - N Liu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - K Liu
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China
| | - J He
- Qingdao Agricultural University, Qingdao, 266109, China
| | - J Yu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - R Bu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - M Cheng
- Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China
| | - W De
- Nanjing Medical University, Nanjing, 210029, China
| | - J Liu
- Qingdao Agricultural University, Qingdao, 266109, China
| | - H Li
- Qingdao Agricultural University, Qingdao, 266109, China.,Qingdao Institute of Animal Science and Veterinary Medicine, Qingdao, 266100, China
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43
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Zhao J, Li H, Liu K, Zhang B, Li P, He J, Cheng M, De W, Liu J, Zhao Y, Yang L, Liu N. Identification of differentially expressed genes affecting hair and cashmere growth in the Laiwu black goat by microarray. Mol Med Rep 2016; 14:3823-31. [DOI: 10.3892/mmr.2016.5728] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 06/30/2016] [Indexed: 11/05/2022] Open
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44
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Yang Y, Zhou R, Mu Y, Hou X, Tang Z, Li K. Genome-wide analysis of DNA methylation in obese, lean, and miniature pig breeds. Sci Rep 2016; 6:30160. [PMID: 27444743 PMCID: PMC4957084 DOI: 10.1038/srep30160] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 06/28/2016] [Indexed: 12/20/2022] Open
Abstract
DNA methylation is a crucial epigenetic modification involved in diverse biological processes. There is significant phenotypic variance between Chinese indigenous and western pig breeds. Here, we surveyed the genome-wide DNA methylation profiles of blood leukocytes from three pig breeds (Tongcheng, Landrace, and Wuzhishan) by methylated DNA immunoprecipitation sequencing. The results showed that DNA methylation was enriched in gene body regions and repetitive sequences. LINE/L1 and SINE/tRNA-Glu were the predominant methylated repeats in pigs. The methylation level in the gene body regions was higher than in the 5' and 3' flanking regions of genes. About 15% of CpG islands were methylated in the pig genomes. Additionally, 2,807, 2,969, and 5,547 differentially methylated genes (DMGs) were identified in the Tongcheng vs. Landrace, Tongcheng vs. Wuzhishan, and Landrace vs. Wuzhishan comparisons, respectively. A total of 868 DMGs were shared by the three contrasts. The DMGs were significantly enriched in development- and metabolism-related biological processes and pathways. Finally, we identified 32 candidate DMGs associated with phenotype variance in pigs. Our research provides a DNA methylome resource for pigs and furthers understanding of epigenetically regulated phenotype variance in mammals.
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Affiliation(s)
- Yalan Yang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Rong Zhou
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yulian Mu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xinhua Hou
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhonglin Tang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Kui Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
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Yang Y, Tang Z, Fan X, Xu K, Mu Y, Zhou R, Li K. Transcriptome analysis revealed chimeric RNAs, single nucleotide polymorphisms and allele-specific expression in porcine prenatal skeletal muscle. Sci Rep 2016; 6:29039. [PMID: 27352850 PMCID: PMC4926253 DOI: 10.1038/srep29039] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 06/14/2016] [Indexed: 01/28/2023] Open
Abstract
Prenatal skeletal muscle development genetically determines postnatal muscle characteristics such as growth and meat quality in pigs. However, the molecular mechanisms underlying prenatal skeletal muscle development remain unclear. Here, we performed the first genome-wide analysis of chimeric RNAs, single nuclear polymorphisms (SNPs) and allele-specific expression (ASE) in prenatal skeletal muscle in pigs. We identified 14,810 protein coding genes and 163 high-confidence chimeric RNAs expressed in prenatal skeletal muscle. More than 94.5% of the chimeric RNAs obeyed the canonical GT/AG splice rule and were trans-splicing events. Ten and two RNAs were aligned to human and mouse chimeric transcripts, respectively. We detected 106,457 high-quality SNPs (6,955 novel), which were mostly (89.09%) located within QTLs for production traits. The high proportion of non-exonic SNPs revealed the incomplete annotation status of the current swine reference genome. ASE analysis revealed that 11,300 heterozygous SNPs showed allelic imbalance, whereas 131 ASE variants were located in the chimeric RNAs. Moreover, 4 ASE variants were associated with various economically relevant traits of pigs. Taken together, our data provide a source for studies of chimeric RNAs and biomarkers for pig breeding, while illuminating the complex transcriptional events underlying prenatal skeletal muscle development in mammals.
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Affiliation(s)
- Yalan Yang
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, P.R.China
| | - Zhonglin Tang
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, P.R.China
| | - Xinhao Fan
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Kui Xu
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Yulian Mu
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Rong Zhou
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
| | - Kui Li
- The State Key Laboratory for Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, P.R.China
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Identification of genes showing differential expression profile associated with growth rate in skeletal muscle tissue of Landrace weanling pig. J Genet 2016; 95:341-7. [DOI: 10.1007/s12041-016-0643-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Zhang X, Chen Y, Pan J, Liu X, Chen H, Zhou X, Yuan Z, Wang X, Mo D. iTRAQ-based quantitative proteomic analysis reveals the distinct early embryo myofiber type characteristics involved in landrace and miniature pig. BMC Genomics 2016; 17:137. [PMID: 26911206 PMCID: PMC4766617 DOI: 10.1186/s12864-016-2464-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Accepted: 02/12/2016] [Indexed: 01/11/2023] Open
Abstract
Background Pig (Sus scrofa) is a major source of dietary proteins for human consumption and is becoming a valuable model in agricultural and biomedical research. The recently developed isobaric tag for relative and absolute quantitation (iTRAQ) method allows sensitive and accurate protein quantification. Here, we performed the first iTRAQ-based quantitative proteomic analyses of Landrace (LR) and Wuzhishan (WZS) pig longissimus dorsi muscle tissues during early embryonic development. Results The iTRAQ-based early embryonic longissimus dorsi muscle study of LR and WZS ranging from 21 to 42 days post coitus (dpc) identified a total of 4431 proteins from17,214 peptides, which were matched with 36,4025 spectra at a false discovery rate of 5 %. In both WZS and LR, the largest amount of differentially expressed proteins (DEPs) were found between 28 and 35 dpc. 252 breed-DEPs were selected by GO analysis, including 8 myofibrillar proteins. Only MYHCI/IIA mRNA were detected due to early embryonic stages, and significantly higher expression of them were found in WZS during these 4 stages. MYHCI was first found in WZS at 28 dpc and expressed in both breeds at later stages, while MYHCII protein was not detected until 35 dpc in both breeds. Thus, 33 myogenic breed-DEPs selected from last two stages were analyzed by STRING, which showed that some myofibrillar proteins (MYH1, TPM4, MYH10, etc.) and functional proteins (CSRP2, CASQ2, OTC, etc.), together with candidate myogenic proteins (H3F3A, HDGFRP2, etc.), probably participate in the regulatory network of myofiber formation. Conclusion Our iTRAQ-based early embryonic longissimus dorsi muscle study of LR and WZS provides new data on the in vivo muscle development distinctions during early embryonic development, which contributes to the improved understanding in the regulation mechanism of early myogenesis in agricultural animals. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2464-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xumeng Zhang
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
| | - Jinchun Pan
- Guangdong Laboratory Animals Monitoring Institute, Guangzhou, 510663, Guangdong, China.
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
| | - Hu Chen
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
| | - Xingyu Zhou
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
| | - Zhuning Yuan
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
| | - Xilong Wang
- Guangdong Laboratory Animals Monitoring Institute, Guangzhou, 510663, Guangdong, China.
| | - Delin Mo
- State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.
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Hua C, Wang Z, Zhang J, Peng X, Hou X, Yang Y, Li K, Tang Z. SMAD7, an antagonist of TGF-beta signaling, is a candidate of prenatal skeletal muscle development and weaning weight in pigs. Mol Biol Rep 2016; 43:241-51. [DOI: 10.1007/s11033-016-3960-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 02/17/2016] [Indexed: 12/22/2022]
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Ghosh M, Sodhi SS, Sharma N, Mongre RK, Kim N, Singh AK, Lee SJ, Kim DC, Kim SW, Lee HK, Song KD, Jeong DK. An integrated in silico approach for functional and structural impact of non- synonymous SNPs in the MYH1 gene in Jeju Native Pigs. BMC Genet 2016; 17:35. [PMID: 26847462 PMCID: PMC4741023 DOI: 10.1186/s12863-016-0341-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Accepted: 01/25/2016] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND This study was performed to identify the non- synonymous polymorphisms in the myosin heavy chain 1 gene (MYH1) association with skeletal muscle development in economically important Jeju Native Pig (JNP) and Berkshire breeds. Herein, we present an in silico analysis, with a focus on (a) in silico approaches to predict the functional effect of non-synonymous SNP (nsSNP) in MYH1 on growth, and (b) molecular docking and dynamic simulation of MYH1 to predict the effects of those nsSNP on protein-protein association. RESULTS The NextGENe (V 2.3.4.) tool was used to identify the variants in MYH1 from JNP and Berkshire using RNA seq. Gene ontology analysis of MYH1 revealed significant association with muscle contraction and muscle organ development. The 95 % confidence intervals clearly indicate that the mRNA expression of MYH1 is significantly higher in the Berkshire longissimus dorsi muscle samples than JNP breed. Concordant in silico analysis of MYH1, the open-source software tools identified 4 potential nsSNP (L884T, K972C, N981G, and Q1285C) in JNP and 1 nsSNP (H973G) in Berkshire pigs. Moreover, protein-protein interactions were studied to investigate the effect of MYH1 mutations on association with hub proteins, and MYH1 was found to be closely associated with the protein myosin light chain, phosphorylatable, fast skeletal muscle MYLPF. The results of molecular docking studies on MYH1 (native and 4 mutants) and MYLFP demonstrated that the native complex showed higher electrostatic energy (-466.5 Kcal mol(-1)), van der Walls energy (-87.3 Kcal mol(-1)), and interaction energy (-835.7 Kcal mol(-1)) than the mutant complexes. Furthermore, the molecular dynamic simulation revealed that the native complex yielded a higher root-mean-square deviation (0.2-0.55 nm) and lower root-mean-square fluctuation (approximately 0.08-0.3 nm) as compared to the mutant complexes. CONCLUSIONS The results suggest that the variants at L884T, K972C, N981G, and Q1285C in MYH1 in JNP might represent a cause for the poor growth performance for this breed. This study is a pioneering in-depth in silico analysis of polymorphic MYH1 and will serve as a valuable resource for further targeted molecular diagnosis and population-based studies conducted for improving the growth performance of JNP.
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Affiliation(s)
- Mrinmoy Ghosh
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju-Do, 690-756, Republic of Korea.
| | - Simrinder Singh Sodhi
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju-Do, 690-756, Republic of Korea.
| | - Neelesh Sharma
- Sher-e-Kashmir University of Agricultural Sciences and Technology, R.S. Pura, Jammu, India.
| | - Raj Kumar Mongre
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju-Do, 690-756, Republic of Korea.
| | - Nameun Kim
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju-Do, 690-756, Republic of Korea.
| | - Amit Kumar Singh
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju-Do, 690-756, Republic of Korea.
| | - Sung Jin Lee
- Department of Animal Biotechnology, College of Animal Bioscience and Technology, Kangwon National University, Chuncheon, 200-701, Republic of Korea.
| | - Dae Cheol Kim
- Livestock Promotion Institute, Jeju Special Self-governing Province, Jeju-Do, 690-756, Republic of Korea.
| | - Sung Woo Kim
- Animal Genetic Resources Station, National Institute of Animal Science, Rural Administration, Namwon, Republic of Korea.
| | - Hak Kyo Lee
- Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Republic of Korea.
| | - Ki-Duk Song
- Department of Animal Biotechnology, Chonbuk National University, Jeonju, 561-756, Republic of Korea.
| | - Dong Kee Jeong
- Department of Animal Biotechnology, Faculty of Biotechnology, Jeju National University, Jeju-Do, 690-756, Republic of Korea.
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Integrative transcriptomics and proteomics analysis of longissimus dorsi muscles of Canadian double-muscled Large White pigs. Gene 2016; 577:14-23. [DOI: 10.1016/j.gene.2015.11.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Revised: 10/28/2015] [Accepted: 11/09/2015] [Indexed: 11/23/2022]
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