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Zhang Y, Zhan S, Bao Y, You J, Yin T, Hong H, Gao R. Effects of chopping and salting on the properties of pre-rigor silver carp muscle: Metabolic process, protein functionality, and ultrastructure. Food Chem 2025; 464:141685. [PMID: 39447257 DOI: 10.1016/j.foodchem.2024.141685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 09/27/2024] [Accepted: 10/15/2024] [Indexed: 10/26/2024]
Abstract
Chopping and salting are two important processing steps in emulsified meat products. Effects of chopping and salting on metabolic process, protein functionality, and ultrastructure of pre-rigor silver carp muscle, and how these three aspects changed during rigor transformation were explored. Chopping caused an accelerated loss of adenosine triphosphate (ATP) from 1.16 μmol/g to 0.16 μmol/g, and salt addition inhibited accumulation of hypoxanthine nucleoside (HxR) and hypoxanthine (Hx). Similarly, chopping led to faster decrease of glycogen from 4.59 mg/g to 1.50 mg/g and increase in lactic acid from 0.52 mmol/g protein to 0.82 mmol/g protein, and salt exerted an inhibition effect. In agreement with ATP and glycogen breakdown, metabolic profiling revealed that chopping and salting altered the metabolism in fatty acids and amino acids during rigor transformation. After rigor transformation, chopping with salt led to significant reduction in radical scavenging ability, accompanied by greater loss of sulfhydryl groups. Salt also promoted protein denaturation, evidenced by increased surface hydrophobicity and decreased intrinsic fluorescence. The ultrastructure of fish muscle after chopping or chopping with salt was similar between pre- and post-rigor stages. The abovementioned findings can provide valuable insight into the production of fish products.
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Affiliation(s)
- Yaqi Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China
| | - Shuai Zhan
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China
| | - Yulong Bao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
| | - Juan You
- College of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Tao Yin
- College of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Hui Hong
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Ruichang Gao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
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Sosnicki A, Gonzalez J, Fields B, Knap P. A review of porcine skeletal muscle plasticity and implications for genetic improvement of carcass and meat quality. Meat Sci 2025; 219:109676. [PMID: 39362021 DOI: 10.1016/j.meatsci.2024.109676] [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: 05/21/2024] [Revised: 08/12/2024] [Accepted: 09/22/2024] [Indexed: 10/05/2024]
Abstract
Skeletal muscle is characterized by a remarkable plasticity to adapt to stimuli such as contractile activity, loading conditions, substrate supply or environmental factors. The existing knowledge of muscle plasticity along with developed genetic and genomic technologies, have enabled creating animal breeding strategies and allowed for implementing agriculturally successful porcine genetic improvement programs. The primary focus of this review paper is on pig skeletal muscle plasticity as it relates to genetic improvement of desirable carcass composition and pork quality traits. Biological constraints between practically realized breeding objectives, pig skeletal muscle biology, and pork quality are also discussed. Future applications of genetic and genomic technologies and plausible focus on new breeding objectives enhancing pork production sustainability are proposed as well.
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Affiliation(s)
| | - John Gonzalez
- University of Georgia, Department of Animal and Dairy Science, 425 River Road, Athens, GA 30602, USA
| | - Brandon Fields
- GenusPIC, 100 Bluegrass Commons, Hendersonville, TN 37075, USA
| | - Pieter Knap
- GenusPIC, 100 Bluegrass Commons, Hendersonville, TN 37075, USA
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Wang J, Ren W, Sun Z, Han Z, Zeng Y, Meng J, Yao X. Comparative transcriptome analysis of slow-twitch and fast-twitch muscles in Kazakh horses. Meat Sci 2024; 216:109582. [PMID: 38991479 DOI: 10.1016/j.meatsci.2024.109582] [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: 05/21/2024] [Accepted: 06/25/2024] [Indexed: 07/13/2024]
Abstract
This study conducted a thorough analysis of the myofiber type composition in the extensor digitorum longus muscle (EDL) and soleus muscle (SOL) of Kazakh horses, across different genders (male and female). The results showed significant differences in myofiber type composition between EDL and SOL, with a higher proportion of Type I fibers in SOL muscles and a greater prevalence of Type II fibers in EDL muscles. Additionally, the myofiber diameter in Kazakh horses was relatively small, potentially related to the tenderness and edible quality of their muscles. Using high-throughput sequencing technology, we constructed 32 cDNA sequencing libraries and obtained high-quality read data. Gene expression analysis revealed 278 and 372 differentially expressed genes (DEGs) in EDL and SOL muscles, respectively, including genes related to muscle contraction, metabolism, and development. Intersection analysis of DEGs between genders showed that 60 DEGs were significantly different in both male and female horses. GO annotation and KEGG analysis further elucidated the roles of these DEGs in muscle structure, function, and cellular signaling. Protein-protein interaction (PPI) network analysis and identification of hub genes provided new insights into the molecular mechanisms underlying muscle growth and development. Finally, the reliability of the DEGs data was validated through quantitative real-time PCR (qRT-PCR). This study not only enhances our understanding of the biological characteristics of horse muscles but also provides potential molecular targets for improving horse muscle performance and health.
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Affiliation(s)
- Jianwen Wang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China
| | - Wanlu Ren
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Zhiwen Sun
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Zixiang Han
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China
| | - Yaqi Zeng
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China
| | - Jun Meng
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.
| | - Xinkui Yao
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; Xinjiang Key Laboratory of Equine Breeding and Exercise Physiology, Urumqi 830052, China.
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Zhao Z, Wu J, Yao X, Sun H, Wu Y, Zhou H, Wang X, Guo K, Deng B, Tang J. Influence of Fermented Broccoli Residues on Fattening Performance, Nutrient Utilization, and Meat Properties of Finishing Pigs. Animals (Basel) 2024; 14:1987. [PMID: 38998099 PMCID: PMC11240572 DOI: 10.3390/ani14131987] [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: 05/30/2024] [Revised: 07/02/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024] Open
Abstract
The study determined the impacts of dietary fermented residues' (FBR) inclusion on growth, nutrient utilization, carcass characteristics, and meat properties in fattening pigs. Seventy-two robust pigs were randomly assigned to two experimental groups (Duroc × Landrace × Yorkshire, thirty-six pigs each). Each group was subjected to a 52-day trial, during which they received either a corn-soybean meal-based diet or diet enhanced with a 10% addition of FBR. Consequently, adding 10% FBR caused a significant decrease in the digestive utilization of crude dietary components in fattening pigs (p < 0.05) but showed no significant impact on the growth performance. Additionally, FBR inclusion increased the marbling scores (p < 0.05) and total antioxidant functions (p < 0.05) of muscle tissues, indicating improved meat quality. Gender affected backfat depth, with barrows showing thicker backfat depth. In conclusion, dietary supplementation with 10% FBR in finishing pigs influenced the meat quality by improving the marbling score and antioxidant performance while reducing digestibility without compromising growth performance.
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Affiliation(s)
- Zhiwei Zhao
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Jie Wu
- Institute of Zootechnics and Veterinary Sciences, Hangzhou 310021, China
| | - Xiaohong Yao
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Hong Sun
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yifei Wu
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Hanghai Zhou
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Xin Wang
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Kai Guo
- Institute of Zootechnics and Veterinary Sciences, Hangzhou 310021, China
| | - Bo Deng
- Institute of Zootechnics and Veterinary Sciences, Hangzhou 310021, China
| | - Jiangwu Tang
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
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Zhao T, Tian T, Yu H, Cao C, Zhang Z, He Z, Ma Z, Cai R, Li F, Pang W. Identification of porcine fast/slow myogenic exosomes and their regulatory effects on lipid accumulation in intramuscular adipocytes. J Anim Sci Biotechnol 2024; 15:73. [PMID: 38824596 PMCID: PMC11144342 DOI: 10.1186/s40104-024-01029-0] [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: 11/27/2023] [Accepted: 04/01/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Pork quality is affected by the type of muscle fibers, which is closely related to meat color, tenderness and juiciness. Exosomes are tiny vesicles with a diameter of approximately 30-150 nm that are secreted by cells and taken up by recipient cells to mediate communication. Exosome-mediated muscle-fat tissue crosstalk is a newly discovered mechanism that may have an important effect on intramuscular fat deposition and with that on meat quality. Various of adipose tissue-derived exosomes have been discovered and identified, but the identification and function of muscle exosomes, especially porcine fast/slow myotube exosomes, remain unclear. Here, we first isolated and identified exosomes secreted from porcine extensor digitorum longus (EDL) and soleus (SOL), which represent fast and slow muscle, respectively, and further explored their effects on lipid accumulation in longissimus dorsi adipocytes. RESULTS Porcine SOL-derived exosomes (SOL-EXO) and EDL-derived exosomes (EDL-EXO) were first identified and their average particle sizes were approximately 84 nm with double-membrane disc- shapes as observed via transmission electron microscopy and scanning electron microscopy. Moreover, the intramuscular fat content of the SOL was greater than that of the EDL at 180 days of age, because SOL intramuscular adipocytes had a stronger lipid-accumulating capacity than those of the EDL. Raman spectral analysis revealed that SOL-EXO protein content was much greater than that of EDL-EXO. Proteomic sequencing identified 72 proteins that were significantly differentially expressed between SOL-EXO and EDL-EXO, 31 of which were downregulated and 41 of which were upregulated in SOL-EXO. CONCLUSIONS Our findings suggest that muscle-fat tissue interactions occur partly via SOL-EXO promoting adipogenic activity of intramuscular adipocytes.
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Affiliation(s)
- Tiantian Zhao
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Tingting Tian
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - He Yu
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Chaoyue Cao
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Ziyi Zhang
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zhaozhao He
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zeqiang Ma
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Rui Cai
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Fengna Li
- Laboratory of Animal Nutritional Physiology and Metabolic Process, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China
| | - Weijun Pang
- Laboratory of Animal Fat Deposition & Muscle Development, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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Wu Y, Xia Y, Hu A, Xiong G, Wu W, Shi L, Chen L, Guo X, Qiao Y, Liu C, Yin T, Wang L, Chen S. Difference in muscle metabolism caused by metabolism disorder of rainbow trout liver exposed to ammonia stress. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 924:171576. [PMID: 38461997 DOI: 10.1016/j.scitotenv.2024.171576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024]
Abstract
Ammonia pollution is an important environmental stress factors in water eutrophication. The intrinsic effects of ammonia stress on liver toxicity and muscle quality of rainbow trout were still unclear. In this study, we focused on investigating difference in muscle metabolism caused by metabolism disorder of rainbow trout liver at exposure times of 0, 3, 6, 9 h at 30 mg/L concentrations. Liver transcriptomic analysis revealed that short-term (3 h) ammonia stress inhibited carbohydrate metabolism and glycerophospholipid production but long-term (9 h) ammonia stress inhibited the biosynthesis and degradation of fatty acids, activated pyrimidine metabolism and mismatch repair, lead to DNA strand breakage and cell death, and ultimately caused liver damage. Metabolomic analysis of muscle revealed that ammonia stress promoted the reaction of glutamic acid and ammonia to synthesize glutamine to alleviate ammonia toxicity, and long-term (9 h) ammonia stress inhibited urea cycle, hindering the alleviation of ammonia toxicity. Moreover, it accelerated the consumption of flavor amino acids such as arginine and aspartic acid, and increased the accumulation of bitter substances (xanthine) and odorous substances (histamine). These findings provide valuable insights into the potential risks and hazards of ammonia in eutrophic water bodies subject to rainbow trout.
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Affiliation(s)
- Yiwen Wu
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Yuting Xia
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; School of Bioengineering and Food Science, Hubei University of Technology, Wuhan 430068, China
| | - Ao Hu
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China; School of Bioengineering and Food Science, Hubei University of Technology, Wuhan 430068, China
| | - Guangquan Xiong
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Wenjin Wu
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Liu Shi
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Lang Chen
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Xiaojia Guo
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Yu Qiao
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Chunsheng Liu
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Tao Yin
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Lan Wang
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
| | - Sheng Chen
- Key Laboratory of Agricultural Products Cold Chain Logistics, Ministry of Agriculture and Rural Affairs, Institute of Agro-Products Processing and Nuclear agricultural Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
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7
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Yao Z, Wo J, Zheng E, Yang J, Li H, Li X, Li J, Luo Y, Wang T, Fan Z, Zhan Y, Yang Y, Wu Z, Yin L, Meng F. A deep learning-based approach for fully automated segmentation and quantitative analysis of muscle fibers in pig skeletal muscle. Meat Sci 2024; 213:109506. [PMID: 38603965 DOI: 10.1016/j.meatsci.2024.109506] [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: 10/05/2023] [Revised: 02/06/2024] [Accepted: 04/01/2024] [Indexed: 04/13/2024]
Abstract
Muscle fiber properties exert a significant influence on pork quality, with cross-sectional area (CSA) being a crucial parameter closely associated with various meat quality indicators, such as shear force. Effectively identifying and segmenting muscle fibers in a robust manner constitutes a vital initial step in determining CSA. This step is highly intricate and time-consuming, necessitating an accurate and automated analytical approach. One limitation of existing methods is their tendency to perform well on high signal-to-noise ratio images of intact, healthy muscle fibers but their lack of validation on more complex image datasets featuring significant morphological changes, such as the presence of ice crystals. In this study, we undertake the fully automatic segmentation of muscle fiber microscopic images stained with myosin adenosine triphosphate (mATPase) activity using a deep learning architecture known as SOLOv2. Our objective is to efficiently derive accurate measurements of muscle fiber size and distribution. Tests conducted on actual images demonstrate that our method adeptly handles the intricate task of muscle fiber segmentation, yielding quantitative results amenable to statistical analysis and displaying reliability comparable to manual analysis.
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Affiliation(s)
- Zekai Yao
- State Key Laboratory of Swine and Poultry Breeding Industry/ Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China; College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Jingjie Wo
- College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, PR China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China; Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, PR China
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China; Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, PR China
| | - Hao Li
- State Key Laboratory of Swine and Poultry Breeding Industry/ Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China; College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Xinxin Li
- State Key Laboratory of Swine and Poultry Breeding Industry/ Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China; College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Jianhao Li
- State Key Laboratory of Swine and Poultry Breeding Industry/ Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China
| | - Yizhi Luo
- State Key Laboratory of Swine and Poultry Breeding Industry/ Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China; Institute of Facility Agriculture, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China
| | - Ting Wang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Zhenfei Fan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Yuexin Zhan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Yingshan Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, PR China; Yunfu Subcenter of Guangdong Laboratory for Lingnan Modern Agriculture, Yunfu 527400, PR China; Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, PR China.
| | - Ling Yin
- College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, PR China.
| | - Fanming Meng
- State Key Laboratory of Swine and Poultry Breeding Industry/ Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, PR China.
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8
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Li S, Zhong H, Wang Z, Chen J, Huang Z, Zou T, You J. Dietary protein restriction regulates skeletal muscle fiber metabolic characteristics associated with the FGF21-ERK1/2 pathway. iScience 2024; 27:109249. [PMID: 38450157 PMCID: PMC10915561 DOI: 10.1016/j.isci.2024.109249] [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] [Received: 10/16/2023] [Revised: 12/10/2023] [Accepted: 02/13/2024] [Indexed: 03/08/2024] Open
Abstract
Under conditions of dietary amino acid balance, decreasing the dietary crude protein (CP) level in pigs has a beneficial effect on meat quality. To further elucidate the mechanism, we explored the alteration of muscle fiber characteristics and key regulators related to myogenesis in the skeletal muscle of pigs fed a protein restricted diet. Compared to pigs fed a normal protein diet, dietary protein restriction significantly increased the slow-twitch muscle fiber proportion in skeletal muscle, succinic dehydrogenase (SDH) activity, the concentrations of ascorbate, biotin, palmitoleic acid, and the ratio of s-adenosylhomocysteine (SAM) to s-adenosylhomocysteine (SAH), but the fast-twitch muscle fiber proportion, lactate dehydrogenase (LDH) activity, the concentrations of ATP, glucose-6-phosphate, SAM, and SAH in skeletal muscle, and the ratio of serum triiodothyronine (T3) to tetraiodothyronine (T4) were decreased. In conclusion, we demonstrated that dietary protein restriction induced skeletal muscle fiber remodeling association the regulation of FGF21-ERK1/2-mTORC1 signaling in weaned piglets.
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Affiliation(s)
- Shuo Li
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Haopeng Zhong
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zirui Wang
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Jun Chen
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zhouyin Huang
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Tiande Zou
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Jinming You
- Jiangxi Province Key Laboratory of Animal Nutrition, Jiangxi Province Key Innovation Center of Integration in Production and Education for High-quality and Safe Livestock and Poultry, Jiangxi Agricultural University, Nanchang 330045, China
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9
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Yan M, Li L, Huang Y, Tang X, Shu Y, Cui D, Yu C, Hu Y, Ma J, Xiao S, Guo Y. Investigation on muscle fiber types and meat quality and estimation of their heritability and correlation coefficients with each other in four pig populations. Anim Sci J 2024; 95:e13915. [PMID: 38303133 DOI: 10.1111/asj.13915] [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: 06/28/2023] [Revised: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 02/03/2024]
Abstract
The aim of this study was to investigate the muscle fiber types and meat quality in four populations and estimate the heritability and correlation coefficients of those traits in Shanxia long black pig (SX). In this study, a total of 318 pigs were recorded for 16 traits of the muscle fiber types and meat quality in four populations, including 256 individuals from the new breed SX. The population had a significant effect on all recorded traits, and the meat quality of the Lulai black pig was better than the remaining populations. The heritability (h2 ) of meat quality traits was from 0.06 (pH at 24 h) to 0.47 (shearing force), and the muscle fiber types belonged to the traits with low to medium heritability. The density of total fiber had the highest h2 (0.40), while the percentage of type IIA had the lowest h2 (0.04). Most traits are phenotypically correlated with each other, but only a small proportion of traits are genetically correlated with each other. None fiber type genetically correlated with meat quality significantly, because the genetic correlation coefficients had large standard errors. These results provided some insights into genetic improvements for the meat quality in pig breeds and also indicated that the parameters of muscle fiber characteristics can explain parts of the variation in meat quality.
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Affiliation(s)
- Min Yan
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Longyun Li
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Yizhong Huang
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Xi Tang
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Yujie Shu
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Dengshuai Cui
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Chuangang Yu
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Yongqiang Hu
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Junwu Ma
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Shijun Xiao
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
| | - Yuanmei Guo
- National Key Laboratory for Pig Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China
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Chen Q, Chen Z, Sun Q, Zhang W, Wu F, Liu G, Wang T, Wang Z, Wang Q, Zhang J. Transcriptomic analysis of the longissimus thoracis muscle in pigs has identified molecular regulatory patterns associated with meat quality. Genomics 2024; 116:110779. [PMID: 38168627 DOI: 10.1016/j.ygeno.2023.110779] [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: 08/11/2023] [Revised: 12/29/2023] [Accepted: 12/30/2023] [Indexed: 01/05/2024]
Abstract
Meat quality is a critical aspect of pig breeding. In addition to genetics, meat quality is also influenced by nutritional and environmental factors. In this study, three pig breeds, Shengxianhua, Jiaxing, and Qinglian Black (SXH, JXB and QLB), were used as experimental animals. Transcriptional analysis was performed on the longissimus thoracis (LT) muscle to investigate variations in intramuscular fat (IMF), inosine monophosphate (IMP), amino acids, and muscle fiber morphology across different breeds. Ingenuity canonical pathway analysis (IPA) identified biological processes and key driver genes related to metabolism and muscle development. Additionally, weighted gene co-expression network analysis (WGCNA) revealed gene modules associated with IMP. KEGG and GO analyses identified specific biological processes and signaling pathways related to IMP, including the Oxidative Phosphorylation pathway and rRNA Metabolic Processes. These findings provide novel insights into the molecular regulatory mechanisms underlying meat quality variations among pig breeds.
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Affiliation(s)
- Qiangqiang Chen
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Zhirong Chen
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qian Sun
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Wei Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Fen Wu
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Guoliang Liu
- Zhejiang Qinglian Food Company limited, Jiaxing, China
| | - Tenghao Wang
- Zhejiang Qinglian Food Company limited, Jiaxing, China
| | - Zhen Wang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Qishan Wang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Jinzhi Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
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11
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Li X, Lu L, Tong X, Li R, Jin E, Ren M, Gao Y, Gu Y, Li S. Transcriptomic Profiling of Meat Quality Traits of Skeletal Muscles of the Chinese Indigenous Huai Pig and Duroc Pig. Genes (Basel) 2023; 14:1548. [PMID: 37628600 PMCID: PMC10454112 DOI: 10.3390/genes14081548] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/27/2023] Open
Abstract
The Huai pig is a well-known indigenous pig breed in China. The main advantages of Huai pigs over Western commercial pig breeds include a high intramuscular fat (IMF) content and good meat quality. There are significant differences in the meat quality traits of the same muscle part or different muscle parts of the same variety. To investigate the potential genetic mechanism underlying the meat quality differences in different pig breeds or muscle groups, longissimus dorsi (LD), psoas major (PM), and biceps femoris (BF) muscle tissues were collected from two pig breeds (Huai and Duroc). There were significant differences in meat quality traits and amino acid content. We assessed the muscle transcriptomic profiles using high-throughput RNA sequencing. The IMF content in the LD, PM, and BF muscles of Huai pigs was significantly higher than that in Duroc pigs (p < 0.05). Similarly, the content of flavor amino acids in the three muscle groups was significantly higher in Huai pigs than that in Duroc pigs (p < 0.05). We identified 175, 110, and 86 differentially expressed genes (DEGs) between the LD, PM, and BF muscles of the Huai and Duroc pigs, respectively. The DEGs of the different pig breeds and muscle regions were significantly enriched in the biological processes and signaling pathways related to muscle fiber type, IMF deposition, lipid metabolism, PPAR signaling, cAMP signaling, amino acid metabolism, and ECM-receptor interaction. Our findings might help improve pork yield by using the obtained DEGs for marker-assisted selection and providing a theoretical reference for evaluating and improving pork quality.
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Affiliation(s)
- Xiaojin Li
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Liangyue Lu
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Xinwei Tong
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Ruidong Li
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Erhui Jin
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Man Ren
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Yafei Gao
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Youfang Gu
- Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China
- Key Laboratory of Quality and Safety Control for Pork, Ministry of Agriculture and Rural, No. 9, Chuzhou 233100, China;
| | - Shenghe Li
- College of Animal Science, Anhui Science and Technology University, Chuzhou 233100, China; (X.L.); (L.L.); (X.T.); (R.L.); (E.J.); (M.R.)
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12
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Lu T, Zhu Y, Guo J, Mo Z, Zhou Q, Hu CY, Wang C. MDFI regulates fast-to-slow muscle fiber type transformation via the calcium signaling pathway. Biochem Biophys Res Commun 2023; 671:215-224. [PMID: 37307704 DOI: 10.1016/j.bbrc.2023.05.053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/11/2023] [Accepted: 05/15/2023] [Indexed: 06/14/2023]
Abstract
Muscle fiber is the basic unit of skeletal muscle with strong self-adaptability, and its type is closely related to meat quality. Myod family inhibitor (Mdfi) has the function of regulating myogenic regulatory factors during cell differentiation, but how Mdfi regulates muscle fiber type transformation in myoblasts is still unclear. In the present study, we constructed overexpressing and interfering with Mdfi C2C12 cell models by lipofection. The immunofluorescence, quantitative real-time PCR (qPCR), and western blot results show that the elevated MDFI promoted mitochondrial biogenesis, aerobic metabolism and the calcium level by activating CaMKK2 and AMPK phosphorylation and then stimulated the conversion of C2C12 cells from fast glycolytic to slow oxidative type. In addition, after inhibiting IP3R and RYR channels, the higher MDFI reversed the blockage of calcium release from the endoplasmic reticulum by calcium channel receptor inhibitors and increased intracellular calcium levels. Therefore, we propose that the higher MDFI promotes muscle fiber types conversion through the calcium signaling pathway. These findings further broaden our understanding of the regulatory mechanism of MDFI in muscle fiber type transformation. Furthermore, our results suggest potential therapeutic targets for skeletal muscle and metabolic-related diseases.
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Affiliation(s)
- Tingting Lu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Yifan Zhu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Jiali Guo
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Ziyuan Mo
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Quan Zhou
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Ching Yuan Hu
- Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Chong Wang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China.
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