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Zhang D, Xu F, Liu Y. Research progress on regulating factors of muscle fiber heterogeneity in poultry: a review. Poult Sci 2024; 103:104031. [PMID: 39033575 PMCID: PMC11295477 DOI: 10.1016/j.psj.2024.104031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/20/2024] [Accepted: 06/22/2024] [Indexed: 07/23/2024] Open
Abstract
Control of meat quality traits is an important goal of any farm animal production, including poultry. A better understanding of the biochemical properties of muscle fiber properties that drive muscle development and ultimately meat quality constitutes one of the major challenging topics in animal production and meat science. In this paper, the existing classification methods of skeletal muscle fibers in poultry were reviewed and the relationship between contractile and metabolic characteristics of muscle fibers and poultry meat quality was described. Finally, a comprehensive review of multiple potential factors affecting muscle fiber distribution and conversion is presented, including breed, sex, hormones, growth performance, diet, muscle position, exercise, and ambient temperature. We emphasize that knowledge of muscle fiber typing is essential to better understand how to control muscle characteristics throughout the life cycle of animals to better manage the final quality of poultry meat.
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Affiliation(s)
- Donghao Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Feng Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yiping Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
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2
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Lu T, Abdalla Gibril BA, Xu J, Xiong X. Unraveling the Genetic Foundations of Broiler Meat Quality: Advancements in Research and Their Impact. Genes (Basel) 2024; 15:746. [PMID: 38927682 PMCID: PMC11202585 DOI: 10.3390/genes15060746] [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: 04/25/2024] [Revised: 06/01/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024] Open
Abstract
As societal progress elevates living standards, the focus on meat consumption has shifted from quantity to quality. In broiler production, optimizing meat quality has become paramount, prompting efforts to refine various meat attributes. Recent advancements in sequencing technologies have revealed the genome's complexity, surpassing previous conceptions. Through experimentation, numerous genetic elements have been linked to crucial meat quality traits in broiler chickens. This review synthesizes the current understanding of genetic determinants associated with meat quality attributes in broilers. Researchers have unveiled the pivotal insights detailed herein by employing diverse genomic methodologies such as QTL-based investigations, candidate gene studies, single-nucleotide polymorphism screening, genome-wide association studies, and RNA sequencing. These studies have identified numerous genes involved in broiler meat quality traits, including meat lightness (COL1A2 and ACAA2), meat yellowness (BCMO1 and GDPD5), fiber diameter (myostatin and LncIRS1), meat pH (PRDX4), tenderness (CAPN1), and intramuscular fat content (miR-24-3p and ANXA6). Consequently, a comprehensive exploration of these genetic elements is imperative to devise novel molecular markers and potential targets, promising to revolutionize strategies for enhancing broiler meat quality.
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Affiliation(s)
| | | | | | - Xinwei Xiong
- Jiangxi Provincial Key Laboratory of Poultry Genetic Improvement, Nanchang Normal University, Nanchang 330032, China
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3
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Cao Y, Xing Y, Guan H, Ma C, Jia Q, Tian W, Li G, Tian Y, Kang X, Liu X, Li H. Genomic Insights into Molecular Regulation Mechanisms of Intramuscular Fat Deposition in Chicken. Genes (Basel) 2023; 14:2197. [PMID: 38137019 PMCID: PMC10742768 DOI: 10.3390/genes14122197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/07/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Intramuscular fat (IMF) plays an important role in the tenderness, water-holding capacity, and flavor of chicken meat, which directly affect meat quality. In recent years, regulatory mechanisms underlying IMF deposition and the development of effective molecular markers have been hot topics in poultry genetic breeding. Therefore, this review focuses on the current understanding of regulatory mechanisms underlying IMF deposition in chickens, which were identified by multiple genomic approaches, including genome-wide association studies, whole transcriptome sequencing, proteome sequencing, single-cell RNA sequencing (scRNA-seq), high-throughput chromosome conformation capture (HiC), DNA methylation sequencing, and m6A methylation sequencing. This review comprehensively and systematically describes genetic and epigenetic factors associated with IMF deposition, which provides a fundamental resource for biomarkers of IMF deposition and provides promising applications for genetic improvement of meat quality in chicken.
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Affiliation(s)
- Yuzhu Cao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
| | - Yuxin Xing
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
| | - Hongbo Guan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
| | - Chenglin Ma
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
| | - Qihui Jia
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
| | - Weihua Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou 450046, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou 450046, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou 450046, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou 450046, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou 450046, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou 450046, China
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou 450046, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou 450046, China
| | - Hong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (Y.C.); (Y.X.); (H.G.); (C.M.); (Q.J.); (W.T.); (G.L.); (Y.T.); (X.K.); (X.L.)
- International Joint Research Laboratory for Poultry Breeding of Henan, Zhengzhou 450046, China
- Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou 450046, China
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4
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Liu YF, Zhang M, Shan YJ, Pang LC, Ji GG, Ju XJ, Tu YJ, Shi SY, Bai H, Zou JM, Shu JT. Transcriptome sequencing analysis of the role of miR-499-5p and SOX6 in chicken skeletal myofiber specification. Front Genet 2022; 13:1008649. [PMID: 36186474 PMCID: PMC9521549 DOI: 10.3389/fgene.2022.1008649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
MicroRNAs (miRNAs) might play critical roles in skeletal myofiber specification. In a previous study, we found that chicken miR-499-5p is specifically expressed in slow-twitch muscle and that its potential target gene is SOX6. In this study, we performed RNA sequencing to investigate the effects of SOX6 and miR-499-5p on the modulation and regulation of chicken muscle fiber type and its regulatory mechanism. The expression levels of miR-499-5p and SOX6 demonstrated opposing trends in different skeletal muscles and were associated with muscle fiber type composition. Differential expression analysis revealed that miR-499-5p overexpression led to significant changes in the expression of 297 genes in chicken primary myoblasts (CPMs). Myofiber type-related genes, including MYH7B and CSRP3, showed expression patterns similar to those in slow-twitch muscle. According to functional enrichment analysis, differentially expressed genes were mostly associated with muscle development and muscle fiber-related processes. SOX6 was identified as the target gene of miR-499-5p in CPM using target gene mining and luciferase reporter assays. SOX6 knockdown resulted in upregulation of the slow myosin genes and downregulation of fast myosin genes. Furthermore, protein-protein interaction network analysis revealed that MYH7B and RUNX2 may be the direct targets of SOX6. These results indicated that chicken miR-499-5p may promote slow-twitch muscle fiber formation by repressing SOX6 expression. Our study provides a dataset that can be used as a reference for animal meat quality and human muscle disease studies.
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Affiliation(s)
- Yi-Fan Liu
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Ming Zhang
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Yan-Ju Shan
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Li-Chuan Pang
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Gai-Ge Ji
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Xiao-Jun Ju
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Yun-Jie Tu
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Shi-Ying Shi
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of China, Yangzhou University, Yangzhou, China
| | - Jian-Min Zou
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
| | - Jing-Ting Shu
- Jiangsu Institute of Poultry Science Innovation Co., Yangzhou, China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou, China
- *Correspondence: Jing-Ting Shu,
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5
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He Y, van Mever M, Yang W, Huang L, Ramautar R, Rijksen Y, Vermeij WP, Hoeijmakers JHJ, Harms AC, Lindenburg PW, Hankemeier T. A Sample Preparation Method for the Simultaneous Profiling of Signaling Lipids and Polar Metabolites in Small Quantities of Muscle Tissues from a Mouse Model for Sarcopenia. Metabolites 2022; 12:metabo12080742. [PMID: 36005613 PMCID: PMC9413361 DOI: 10.3390/metabo12080742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022] Open
Abstract
The metabolic profiling of a wide range of chemical classes relevant to understanding sarcopenia under conditions in which sample availability is limited, e.g., from mouse models, small muscles, or muscle biopsies, is desired. Several existing metabolomics platforms that include diverse classes of signaling lipids, energy metabolites, and amino acids and amines would be informative for suspected biochemical pathways involved in sarcopenia. The sample limitation requires an optimized sample preparation method with minimal losses during isolation and handling and maximal accuracy and reproducibility. Here, two developed sample preparation methods, BuOH-MTBE-Water (BMW) and BuOH-MTBE-More-Water (BMMW), were evaluated and compared with previously reported methods, Bligh-Dyer (BD) and BuOH-MTBE-Citrate (BMC), for their suitability for these classes. The most optimal extraction was found to be the BMMW method, with the highest extraction recovery of 63% for the signaling lipids and 81% for polar metabolites, and an acceptable matrix effect (close to 1.0) for all metabolites of interest. The BMMW method was applied on muscle tissues as small as 5 mg (dry weight) from the well-characterized, prematurely aging, DNA repair-deficient Ercc1∆/- mouse mutant exhibiting multiple-morbidities, including sarcopenia. We successfully detected 109 lipids and 62 polar targeted metabolites. We further investigated whether fast muscle tissue isolation is necessary for mouse sarcopenia studies. A muscle isolation procedure involving 15 min at room temperature revealed a subset of metabolites to be unstable; hence, fast sample isolation is critical, especially for more oxidative muscles. Therefore, BMMW and fast muscle tissue isolation are recommended for future sarcopenia studies. This research provides a sensitive sample preparation method for the simultaneous extraction of non-polar and polar metabolites from limited amounts of muscle tissue, supplies a stable mouse muscle tissue collection method, and methodologically supports future metabolomic mechanistic studies of sarcopenia.
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Affiliation(s)
- Yupeng He
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - Marlien van Mever
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - Wei Yang
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - Luojiao Huang
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - Rawi Ramautar
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - Yvonne Rijksen
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands
- Oncode Institute, 3521 AL Utrecht, The Netherlands
| | - Wilbert P. Vermeij
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands
- Oncode Institute, 3521 AL Utrecht, The Netherlands
| | - Jan H. J. Hoeijmakers
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands
- Oncode Institute, 3521 AL Utrecht, The Netherlands
- Department of Molecular Genetics, Erasmus MC Cancer Institute, Erasmus University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands
- Institute for Genome Stability in Aging and Disease, Cologne Excellence Cluster for Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, 50931 Cologne, Germany
| | - Amy C. Harms
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - Peter W. Lindenburg
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
- Research Group Metabolomics, Leiden Center for Applied Bioscience, University of Applied Sciences Leiden, 2333 CK Leiden, The Netherlands
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands
- Correspondence: ; Tel.: +31-71-527-1340
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Goto-Inoue N, Morisasa M, Kimura K, Mori T, Furuichi Y, Manabe Y, Fujii NL. Mass spectrometry imaging reveals local metabolic changes in skeletal muscle due to chronic training. Biosci Biotechnol Biochem 2022; 86:730-738. [PMID: 35285857 DOI: 10.1093/bbb/zbac037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/09/2022] [Indexed: 11/13/2022]
Abstract
Muscle atrophy is a major health problem that needs effective prevention and treatment approaches. Chronic exercise, an effective treatment strategy for atrophy, promotes muscle hypertrophy, which leads to dynamic metabolic changes; however, the metabolic changes vary among myofiber types. To investigate local metabolic changes due to chronic exercise, we utilized comprehensive proteome and mass spectrometry (MS) imaging analyses. Our training model exhibited hypertrophic features only in glycolytic myofibers. The proteome analyses demonstrated that exercise promoted anabolic pathways, such as protein synthesis, and significant changes in lipid metabolism, but not in glucose metabolism. Furthermore, the fundamental energy sources, glycogen, neutral lipids, and ATP, were sensitive to exercise, and the changes in these sources differed between glycolytic and oxidative myofibers. MS imaging revealed that the lipid composition differs among myofibers; arachidonic acid might be an effective target for promoting lipid metabolism during muscle hypertrophy in oxidative myofibers.
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Affiliation(s)
- Naoko Goto-Inoue
- Department of Marine Science and Resources, College of Bioresource Sciences, Nihon University, 1866 Kameino, Fujisawa, Kanagawa, Japan
| | - Mizuki Morisasa
- Department of Marine Science and Resources, College of Bioresource Sciences, Nihon University, 1866 Kameino, Fujisawa, Kanagawa, Japan
| | - Keisuke Kimura
- Department of Marine Science and Resources, College of Bioresource Sciences, Nihon University, 1866 Kameino, Fujisawa, Kanagawa, Japan
| | - Tsukasa Mori
- Department of Marine Science and Resources, College of Bioresource Sciences, Nihon University, 1866 Kameino, Fujisawa, Kanagawa, Japan
| | - Yasuro Furuichi
- Health Promotion Sciences, Tokyo Metropolitan University, 1-1 Minamiosawa Hachioji, Tokyo, Japan
| | - Yasuko Manabe
- Health Promotion Sciences, Tokyo Metropolitan University, 1-1 Minamiosawa Hachioji, Tokyo, Japan
| | - Nobuharu L Fujii
- Health Promotion Sciences, Tokyo Metropolitan University, 1-1 Minamiosawa Hachioji, Tokyo, Japan
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Ju X, Liu Y, Shan Y, Ji G, Zhang M, Tu Y, Zou J, Chen X, Geng Z, Shu J. Analysis of potential regulatory LncRNAs and CircRNAs in the oxidative myofiber and glycolytic myofiber of chickens. Sci Rep 2021; 11:20861. [PMID: 34675224 PMCID: PMC8531282 DOI: 10.1038/s41598-021-00176-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 10/07/2021] [Indexed: 12/13/2022] Open
Abstract
SART and PMM are mainly composed of oxidative myofibers and glycolytic myofibers, respectively, and myofiber types profoundly influence postnatal muscle growth and meat quality. SART and PMM are composed of lncRNAs and circRNAs that participate in myofiber type regulation. To elucidate the regulatory mechanism of myofiber type, lncRNA and circRNA sequencing was used to systematically compare the transcriptomes of the SART and PMM of Chinese female Qingyuan partridge chickens at their marketing age. The luminance value (L*), redness value (a*), average diameter, cross-sectional area, and density difference between the PMM and SART were significant (p < 0.05). ATPase staining results showed that PMMs were all darkly stained and belonged to the glycolytic type, and the proportion of oxidative myofibers in SART was 81.7%. A total of 5 420 lncRNAs were identified, of which 365 were differentially expressed in the SART compared with the PMM (p < 0.05). The cis-regulatory analysis identified target genes that were enriched for specific GO terms and KEGG pathways (p < 0.05), including striated muscle cell differentiation, regulation of cell proliferation, regulation of muscle cell differentiation, myoblast differentiation, regulation of myoblast differentiation, and MAPK signaling pathway. Pathways and coexpression network analyses suggested that XR_003077811.1, XR_003072304.1, XR_001465942.2, XR_001465741.2, XR_001470487.1, XR_003077673.1 and XR_003074785.1 played important roles in regulating oxidative myofibers by TBX3, QKI, MYBPC1, CALM2, and PPARGC1A expression. A total of 10 487 circRNAs were identified, of which 305 circRNAs were differentially expressed in the SART compared with the PMM (p < 0.05). Functional enrichment analysis showed that differentially expressed circRNAs were involved in host gene expression and were enriched in the AMPK, calcium signaling pathway, FoxO signaling pathway, p53 signaling pathway, and cellular senescence. Novel_circ_004282 and novel_circ_002121 played important roles in regulating oxidative myofibers by PPP3CA and NFATC1 expression. Using lncRNA-miRNA/circRNA-miRNA integrated analysis, we identified many candidate interaction networks that might affect muscle fiber performance. Important lncRNA-miRNA-mRNA networks, such as lncRNA-XR_003074785.1/miR-193-3p/PPARGC1A, regulate oxidative myofibers. This study reveals that lncXR_003077811.1, lncXR_003072304.1, lncXR_001465942.2, lncXR_001465741.2, lncXR_001470487.1, lncXR_003077673.1, XR_003074785.1, novel_circ_004282 and novel_circ_002121 might regulate oxidative myofibers. The lncRNA-XR_003074785.1/miR-193-3p/PPARGC1A pathway might regulate oxidative myofibers. All these findings provide rich resources for further in-depth research on the regulatory mechanism of lncRNAs and circRNAs in myofibers.
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Affiliation(s)
- Xiaojun Ju
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, Anhui, China
| | - Yifan Liu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China
| | - Yanju Shan
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China
| | - Gaige Ji
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China
| | - Ming Zhang
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China
| | - Yunjie Tu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China
| | - Jianmin Zou
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China
| | - Xingyong Chen
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, Anhui, China
| | - Zhaoyu Geng
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, Anhui, China.
| | - Jingting Shu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, China.
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8
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D'Amico D, Marino Gammazza A, Macaluso F, Paladino L, Scalia F, Spinoso G, Dimauro I, Caporossi D, Cappello F, Di Felice V, Barone R. Sex-based differences after a single bout of exercise on PGC1α isoforms in skeletal muscle: A pilot study. FASEB J 2021; 35:e21328. [PMID: 33433932 DOI: 10.1096/fj.202002173r] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/01/2020] [Accepted: 12/14/2020] [Indexed: 12/16/2022]
Abstract
To date, there are limited and incomplete data on possible sex-based differences in fiber-types of skeletal muscle and their response to physical exercise. Adult healthy male and female mice completed a single bout of endurance exercise to examine the sex-based differences of the peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PGC1α), heat shock protein 60 (Hsp60), interleukin 6 (IL-6) expression, as well as the Myosin Heavy Chain (MHC) fiber-type distribution in soleus and extensor digitorum longus (EDL) muscles. Our results showed for the first time that in male soleus, a muscle rich of type IIa fibers, endurance exercise activates specifically genes involved in mitochondrial biogenesis such as PGC1 α1 isoform, Hsp60 and IL-6, whereas the expression of PGC1 α2 and α3 was significantly upregulated in EDL muscle, a fast-twitch skeletal muscle, independently from the gender. Moreover, we found that the acute response of different PGC1α isoforms was muscle and gender dependent. These findings add a new piece to the huge puzzle of muscle response to physical exercise. Given the importance of these genes in the physiological response of the muscle to exercise, we strongly believe that our data could support future research studies to personalize a specific and sex-based exercise training protocol.
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Affiliation(s)
- Daniela D'Amico
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.,Department of Neuroscience, Cell Biology, and Anatomy, University of Texas Medical Branch, Galveston, TX, USA
| | - Antonella Marino Gammazza
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Filippo Macaluso
- SMART Engineering Solutions & Technologies Research Center, eCampus University, Novedrate, Italy.,Euro-Mediterranean Institutes of Science and Technology (IEMEST), Palermo, Italy
| | - Letizia Paladino
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Federica Scalia
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.,Department of Neuroscience, Cell Biology, and Anatomy, University of Texas Medical Branch, Galveston, TX, USA.,SMART Engineering Solutions & Technologies Research Center, eCampus University, Novedrate, Italy.,Euro-Mediterranean Institutes of Science and Technology (IEMEST), Palermo, Italy
| | - Giulio Spinoso
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Ivan Dimauro
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
| | - Daniela Caporossi
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
| | - Francesco Cappello
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.,Department of Neuroscience, Cell Biology, and Anatomy, University of Texas Medical Branch, Galveston, TX, USA.,SMART Engineering Solutions & Technologies Research Center, eCampus University, Novedrate, Italy.,Euro-Mediterranean Institutes of Science and Technology (IEMEST), Palermo, Italy
| | - Valentina Di Felice
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
| | - Rosario Barone
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy
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9
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Cloning and expression profiling of muscle regulator ANKRD2 in domestic chicken Gallus gallus. Histochem Cell Biol 2020; 154:383-396. [PMID: 32653935 DOI: 10.1007/s00418-020-01899-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2020] [Indexed: 10/23/2022]
Abstract
Striated muscle signaling protein and transcriptional regulator ANKRD2 participates in myogenesis, myogenic differentiation, muscle adaptation and stress response. It is preferentially expressed in slow, oxidative fibers of mammalian skeletal muscle. In this study, we report on characterization of chicken ANKRD2. The chicken ANKRD2 coding region contains 1002 bp and encodes a 334-amino acid protein which shares approximately 58% identity with human and mouse orthologs, mostly in the conserved region of ankyrin repeats. Comprehensive analysis of the ANKRD2 gene and protein expression in adult chicken demonstrated its predominant expression in red muscles of thigh and drumstick, compared to white muscle. It was not detected in heart and white pectoral muscle. Uneven expression of ANKRD2 in chicken skeletal muscles, observed by immunohistochemistry, was attributed to its selective expression in slow, oxidative, type I and fast, oxidative-glycolytic, type IIA myofibers. Association of chicken ANKRD2 with phenotypic differences between red and white muscles points to its potential role in the process of myofiber-type specification. In addition to expression in slow oxidative myofibers, as demonstrated for mammalian protein, chicken ANKRD2 was also detected in fast fibers with mixed oxidative and glycolytic metabolism. This finding suggests that ANKRD2 is responsive to metabolic differences between types of avian myofibers and orientates future studies towards investigation of its role in molecular mechanisms of myofiber-type-specific gene expression.
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10
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miRNA-mRNA network regulation in the skeletal muscle fiber phenotype of chickens revealed by integrated analysis of miRNAome and transcriptome. Sci Rep 2020; 10:10619. [PMID: 32606372 PMCID: PMC7326969 DOI: 10.1038/s41598-020-67482-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 06/08/2020] [Indexed: 12/23/2022] Open
Abstract
Skeletal muscle fibers are primarily categorized into oxidative and glycolytic fibers, and the ratios of different myofiber types are important factors in determining livestock meat quality. However, the molecular mechanism for determining muscle fiber types in chickens was hardly understood. In this study, we used RNA sequencing to systematically compare mRNA and microRNA transcriptomes of the oxidative muscle sartorius (SART) and glycolytic muscle pectoralis major (PMM) of Chinese Qingyuan partridge chickens. Among the 44,705 identified mRNAs in the two types of muscles, 3,457 exhibited significantly different expression patterns, including 2,364 up-regulated and 1,093 down-regulated mRNAs in the SART. A total of 698 chicken miRNAs were identified, including 189 novel miRNAs, among which 67 differentially expressed miRNAs containing 42 up-regulated and 25 down-regulated miRNAs in the SART were identified. Furthermore, function enrichment showed that the differentially expressed mRNAs and miRNAs were involved in energy metabolism, muscle contraction, and calcium, peroxisome proliferator-activated receptor (PPAR), insulin and adipocytokine signaling. Using miRNA-mRNA integrated analysis, we identified several candidate miRNA-gene pairs that might affect muscle fiber performance, viz, gga-miR-499-5p/SOX6 and gga-miR-196-5p/CALM1, which were supported by target validation using the dual-luciferase reporter system. This study revealed a mass of candidate genes and miRNAs involved in muscle fiber type determination, which might help understand the molecular mechanism underlying meat quality traits in chickens.
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11
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Lake JA, Papah MB, Abasht B. Increased Expression of Lipid Metabolism Genes in Early Stages of Wooden Breast Links Myopathy of Broilers to Metabolic Syndrome in Humans. Genes (Basel) 2019; 10:E746. [PMID: 31557856 PMCID: PMC6826700 DOI: 10.3390/genes10100746] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 09/20/2019] [Indexed: 12/20/2022] Open
Abstract
Wooden breast is a muscle disorder affecting modern commercial broiler chickens that causes a palpably firm pectoralis major muscle and severe reduction in meat quality. Most studies have focused on advanced stages of wooden breast apparent at market age, resulting in limited insights into the etiology and early pathogenesis of the myopathy. Therefore, the objective of this study was to identify early molecular signals in the wooden breast transcriptional cascade by performing gene expression analysis on the pectoralis major muscle of two-week-old birds that may later exhibit the wooden breast phenotype by market age at 7 weeks. Biopsy samples of the left pectoralis major muscle were collected from 101 birds at 14 days of age. Birds were subsequently raised to 7 weeks of age to allow sample selection based on the wooden breast phenotype at market age. RNA-sequencing was performed on 5 unaffected and 8 affected female chicken samples, selected based on wooden breast scores (0 to 4) assigned at necropsy where affected birds had scores of 2 or 3 (mildly or moderately affected) while unaffected birds had scores of 0 (no apparent gross lesions). Differential expression analysis identified 60 genes found to be significant at an FDR-adjusted p-value of 0.05. Of these, 26 were previously demonstrated to exhibit altered expression or genetic polymorphisms related to glucose tolerance or diabetes mellitus in mammals. Additionally, 9 genes have functions directly related to lipid metabolism and 11 genes are associated with adiposity traits such as intramuscular fat and body mass index. This study suggests that wooden breast disease is first and foremost a metabolic disorder characterized primarily by ectopic lipid accumulation in the pectoralis major.
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Affiliation(s)
- Juniper A Lake
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
| | - Michael B Papah
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716, USA.
| | - Behnam Abasht
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716, USA.
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12
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Transcriptome Analysis Reveals the Effect of Long Intergenic Noncoding RNAs on Pig Muscle Growth and Fat Deposition. BIOMED RESEARCH INTERNATIONAL 2019; 2019:2951427. [PMID: 31341893 PMCID: PMC6614983 DOI: 10.1155/2019/2951427] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 06/01/2019] [Indexed: 01/09/2023]
Abstract
Muscle growth and fat deposition are the two important biological processes in the development of pigs which are closely related to the pig production performance. Long intergenic noncoding RNAs (lincRNAs), with lack of coding potential and the length of at least 200nt, have been extensively studied to play important roles in many biological processes. However, the importance and molecular regulation mechanism of lincRNAs in the process of muscle growth and fat deposition in pigs are still to be further studied comprehensively. In our study, we used the data, including liver, abdominal fat, and longissimus dorsi muscle of 240 days' age of two F2 full-sib female individuals from the white Duroc and Erhualian crossbreed, to identify 581 putative lincRNAs associated with pig muscle growth and fat deposition. The 581 putative lincRNAs shared many common features with other mammalian lincRNAs, such as fewer exons, lower expression levels, and shorter transcript lengths. Cross-tissue comparisons showed that many transcripts were tissue-specific and were involved in the important biological processes in their corresponding tissues. Gene ontology and pathway analysis revealed that many potential target genes (PTGs) of putative lincRNAs were involved in pig muscle growth and fat deposition-related processes, including muscle cell proliferation, lipid metabolism, and fatty acid degradation. In Quantitative Trait Locus (QTLs) analysis, some PTGs were screened from putative lincRNAs, MRPL12 is associated with muscle growth, GCGR and SLC25A10 were associated with fat deposition, and PPP3CA, DPYD, and FGGY were related not only to muscle growth but also to fat deposition. Therefore, it implied that these lincRNAs might participate in the biological processes related to muscle growth or fat deposition through homeostatic regulation of PTGs, but the detailed molecular regulatory mechanisms still needed to be further explored. This study lays the molecular foundation for the in-depth study of the role of lincRNAs in the pig muscle growth and fat deposition and further provides the new molecular markers for understanding the complex biological mechanisms of pig muscle growth and fat deposition.
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13
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Wu P, Dai G, Chen F, Chen L, Zhang T, Xie K, Wang J, Zhang G. Transcriptome profile analysis of leg muscle tissues between slow- and fast-growing chickens. PLoS One 2018; 13:e0206131. [PMID: 30403718 PMCID: PMC6221307 DOI: 10.1371/journal.pone.0206131] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 10/08/2018] [Indexed: 12/15/2022] Open
Abstract
Chicken is widely favored by consumers because of some unique features. The leg muscles occupy an important position in the market. However, the specific mechanism for regulating muscle growth speed is not clear. In this experiment, we used Jinghai yellow chickens with different body weights at 300 days as research subjects. The chickens were divided into fast- and slow-growing groups, and we collected leg muscles after slaughtering for use in RNA-seq. After comparing the two groups, 87 differentially expressed genes (DEGs) were identified (fold change ≥ 2 and FDR < 0.05). The fast-growing group had 42 up-regulated genes and 45 down-regulated genes among these DEGs compared to the slow-growing group. Six items were significantly enriched in the biological process: embryo development ending in birth or egg hatching, chordate embryonic development, embryonic skeletal system development, and embryo development as well as responses to ketones and the sulfur compound biosynthetic process. Two significantly enriched pathways were found in the KEGG pathway analysis (P-value < 0.05): the insulin signaling pathway and the adipocytokine signaling pathway. This study provides a theoretical basis for the molecular mechanism of chicken growth and for improving the production of Jinghai yellow chicken.
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Affiliation(s)
- Pengfei Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Guojun Dai
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Fuxiang Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Lan Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Tao Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Kaizhou Xie
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Jinyu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
| | - Genxi Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou, Jiangsu, China
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