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Lin Y, Sun L, Lv Y, Liao R, Zhang K, Zhou J, Zhang S, Xu J, He M, Wu C, Zhang D, Shen X, Dai J, Gao J. Transcriptomic and metabolomic dissection of skeletal muscle of crossbred Chongming white goats with different meat production performance. BMC Genomics 2024; 25:443. [PMID: 38704563 PMCID: PMC11069289 DOI: 10.1186/s12864-024-10304-3] [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: 10/07/2023] [Accepted: 04/12/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND The transcriptome and metabolome dissection of the skeletal muscle of high- and low- growing individuals from a crossbred population of the indigenous Chongming white goat and the Boer goat were performed to discover the potential functional differentially expressed genes (DEGs) and differential expression metabolites (DEMs). RESULTS A total of 2812 DEGs were detected in 6 groups at three time stages (3,6,12 Month) in skeletal muscle using the RNA-seq method. A DEGs set containing seven muscle function related genes (TNNT1, TNNC1, TNNI1, MYBPC2, MYL2, MHY7, and CSRP3) was discovered, and their expression tended to increase as goat muscle development progressed. Seven DEGs (TNNT1, FABP3, TPM3, DES, PPP1R27, RCAN1, LMOD2) in the skeletal muscle of goats in the fast-growing and slow-growing groups was verified their expression difference by reverse transcription-quantitative polymerase chain reaction. Further, through the Liquid chromatography-mass spectrometry (LC-MS) approach, a total of 183 DEMs in various groups of the muscle samples and these DEMs such as Queuine and Keto-PGF1α, which demonstrated different abundance between the goat fast-growing group and slow-growing group. Through weighted correlation network analysis (WGCNA), the study correlated the DEGs with the DEMs and identified 4 DEGs modules associated with 18 metabolites. CONCLUSION This study benefits to dissection candidate genes and regulatory networks related to goat meat production performance, and the joint analysis of transcriptomic and metabolomic data provided insights into the study of goat muscle development.
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Affiliation(s)
- Yuexia Lin
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Lingwei Sun
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Yuhua Lv
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Rongrong Liao
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Keqing Zhang
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Jinyong Zhou
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
| | - Shushan Zhang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Jiehuan Xu
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Mengqian He
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Caifeng Wu
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Defu Zhang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China
| | - Xiaohui Shen
- Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China.
| | - Jianjun Dai
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China.
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China.
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
| | - Jun Gao
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 201106, China.
- Shanghai Municipal Key Laboratory of Agri-Genetics and Breeding, Shanghai, 201106, China.
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Shanghai, 201106, China.
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Ma B, Raza SHA, Pant SD, Gao Z, Zhang F, Wang Z, Hou S, Alkhateeb MA, Al Abdulmonem W, Alharbi YM, Aljohani ASM, Gui L. The impact of different levels of wheat diets on hepatic oxidative stress, immune response, and lipid metabolism in Tibetan sheep (Ovis aries). BMC Vet Res 2024; 20:26. [PMID: 38233918 PMCID: PMC10795223 DOI: 10.1186/s12917-023-03874-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 12/29/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND Compared with corn, wheat contains higher crude protein, amino acids concentration. However, wheat contains a mass of anti-nutritional factors, resulting in increased of the digesta viscosity and impaired the intestinal function in ruminant. OBJECTIVE This study aimed to investigate the effects of substitution of different amounts of wheat for corn on hepatic metabolism in the Tibetan lamb. METHODS Ninety Tibetan lambs (Body weight = 12.37 ± 0.92 kg) were randomly assigned to three groups: 0% wheat diet (Control), 10% wheat diet (Low group), and 15% wheat diet (High group). The feeding trial lasted for 130 d, including a 10 d adaption period. Hepatic gene expression profiling was performed via RNA sequencing after the conclusion of the feeding trials. RESULTS Results showed that greater level of glutathione peroxidase levels in L group compared with those of the C and H groups (P < 0.05). The immune indexes, including interleukin-1β (IL-1β), immunoglobulin A (IgA), and IgM were also elevated in L group compared with the other groups (P < 0.05). Compared with H group, the hepatocytes were arranged radially, and hepatic plates anastomosed with each other to form a labyrinth-like structure in L group. Transcriptomic analysis showed 872 differentially expressed genes (DEG) between H and L group, of which 755 were down-regulated and 117 were up-regulated. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, 32 pathways were significantly enriched (Q-value < 0.05), such as the cAMP signaling pathway, Th1 and Th2 cell differentiation, leukocyte transendothelial migration, platelet activation and adipocytokine signaling pathway. Additionally, the expression of comment DEGs were verified via quantitative reverse-transcription polymerase chain reaction. CONCLUSION In summary, our findings suggest that wheat can be supplemented up to 10% in Tibetan sheep, contributing to improve the hepatic oxidative stress, immune response and lipid metabolism through regulating the expression of related genes.
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Affiliation(s)
- Boyan Ma
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Sayed Haidar Abbas Raza
- Guangdong Provincial Key Laboratory of Food Quality and Safety/Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan University, Shaoguan, 512005, China
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Sameer D Pant
- Gulbali Institute, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia
| | - Zhanhong Gao
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Fengshuo Zhang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Zhiyou Wang
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Shengzhen Hou
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China
| | - Mariam Abdulaziz Alkhateeb
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Waleed Al Abdulmonem
- Department of Pathology, College of Medicine, Qassim University, P.O. Box 6655, 51452, Buraidah, Saudi Arabia
| | - Yousef Mesfer Alharbi
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah, Saudi Arabia
| | - Abdullah S M Aljohani
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah, Saudi Arabia
| | - Linsheng Gui
- College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province, 810016, People's Republic of China.
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Wang J, Fu Y, Su T, Wang Y, Soladoye OP, Huang Y, Zhao Z, Zhao Y, Wu W. A Role of Multi-Omics Technologies in Sheep and Goat Meats: Progress and Way Ahead. Foods 2023; 12:4069. [PMID: 38002128 PMCID: PMC10670074 DOI: 10.3390/foods12224069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/02/2023] [Accepted: 11/07/2023] [Indexed: 11/26/2023] Open
Abstract
Sheep and goat meats are increasingly popular worldwide due to their superior nutritional properties and distinctive flavor profiles. In recent decades, substantial progress in meat science has facilitated in-depth examinations of ovine and caprine muscle development during the antemortem phase, as well as post-mortem changes influencing meat attributes. To elucidate the intrinsic molecular mechanisms and identify potential biomarkers associated with meat quality, the methodologies employed have evolved from traditional physicochemical parameters (such as color, tenderness, water holding capacity, flavor, and pH) to some cutting-edge omics technologies, including transcriptomics, proteomics, and metabolomics approaches. This review provides a comprehensive analysis of multi-omics techniques and their applications in unraveling sheep and goat meat quality attributes. In addition, the challenges and future perspectives associated with implementing multi-omics technologies in this area of study are discussed. Multi-omics tools can contribute to deciphering the molecular mechanism responsible for the altered the meat quality of sheep and goats across transcriptomic, proteomic, and metabolomic dimensions. The application of multi-omics technologies holds great potential in exploring and identifying biomarkers for meat quality and quality control, thereby promoting the optimization of production processes in the sheep and goat meat industry.
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Affiliation(s)
- Jin Wang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
- Chongqing Key Laboratory of Herbivore Science, Southwest University, Chongqing 400715, China
| | - Yu Fu
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Tianyu Su
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
- Chongqing Key Laboratory of Herbivore Science, Southwest University, Chongqing 400715, China
| | - Yupeng Wang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Olugbenga P Soladoye
- Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Government of Canada, 6000 C&E Trail, Lacombe, AB T4L 1W1, Canada
| | - Yongfu Huang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
- Chongqing Key Laboratory of Herbivore Science, Southwest University, Chongqing 400715, China
| | - Zhongquan Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
- Chongqing Key Laboratory of Herbivore Science, Southwest University, Chongqing 400715, China
| | - Yongju Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
- Chongqing Key Laboratory of Herbivore Science, Southwest University, Chongqing 400715, China
| | - Wei Wu
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
- Chongqing Key Laboratory of Herbivore Science, Southwest University, Chongqing 400715, China
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Chen B, Yue Y, Li J, Yuan C, Guo T, Zhang D, Liu J, Yang B, Lu Z. Global DNA Methylation, miRNA, and mRNA Profiles in Sheep Skeletal Muscle Promoted by Hybridization. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:15398-15406. [PMID: 37815113 DOI: 10.1021/acs.jafc.3c02173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
With the development of high-throughput sequencing technology, several nongenetic variations, including noncoding RNAs such as miRNAs, and DNA methylation, have been found to play an important role in animal muscle development and fat metabolism. In this study, Southdown and Suffolk were selected as male parents for hybridization with Hu sheep (Southdown × Hu (NH), Suffolk × Hu (SH), and Hu × Hu (HH)). RNA sequencing, bisulfite sequencing, and small-RNA sequencing were used to study the methylation patterns and differences in miRNA and mRNA expression in the F1 sheep longissimus dorsi muscle tissue. We identified 765 differentially expressed genes (DEGs), 10,161 differentially methylated regions (DMRs), and 164 differentially expressed miRNAs, which were significantly enriched in AMPK signaling, fatty acid degradation, metabolism, and other related pathways (P < 0.05). In addition, we constructed a DNA methylation-mRNA and miRNA-mRNA coexpression network. A total of 42 common genes were identified from DMRs and DEGs. Importantly, we predicted that 33 differentially expressed miRNAs directly or indirectly targeted the SLC27A6. The data obtained in this study provide useful information and evidence to support further understanding of the miRNA and DNA methylation of key genes regulating muscle growth and fat metabolism in hybrid sheep populations.
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Affiliation(s)
- Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Dan Zhang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Bohui Yang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
- Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou 730050, People's Republic of China
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Tian S, Li W, Zhong Z, Wang F, Xiao Q. Genome-wide re-sequencing data reveals the genetic diversity and population structure of Wenchang chicken in China. Anim Genet 2023; 54:328-337. [PMID: 36639920 DOI: 10.1111/age.13293] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/14/2022] [Accepted: 12/31/2022] [Indexed: 01/15/2023]
Abstract
Wenchang (WC) chicken, the only indigenous chicken breed listed in Chinese genetic resources in Hainan province, is well known for its excellent meat quality and is sold all over southeast Asia. In recent years, the number of WC has decreased sharply with considerable variability in the quality at market. To explore the genetic diversity and population structure of WC chickens, the whole-genome data of 235 WC individuals from three conservation farms were obtained using the Illumina 150 bp paired-end platform and used in conjunction with the sequencing data from 123 individuals from other chicken breeds (including eight Chinese indigenous chicken breeds and three foreign or commercial breeds) downloaded from a public database. A total of 12 111 532 SNPs were identified, of which 11 541 878 SNPs were identified in WC. The results of gene enrichment analyses revealed that the SNPs harbored in WC genomes are mainly related to environmental adaptation, disease resistance and meat quality traits. Genetic diversity statistics, quantified by expected heterozygosity, observed heterozygosity, linkage disequilibrium, nucleotide diversity and fixation statistics, indicated that WC displays high genetic diversity compared with other Chinese indigenous chicken breeds. Genetic structure analyses showed that each population displayed great differentiation between WC and the other breeds, indicating the uniqueness of WC. In conclusion, the results of our study provide the first genomic overview of genetic variants, genetic diversity and population structure of WC from three conservation farms. This information will be valuable for the future breeding and conservation of WC and other surveyed populations.
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Affiliation(s)
- Shuaishuai Tian
- Hainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou, China
| | - Wei Li
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Ziqi Zhong
- Hainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou, China
| | - Feifan Wang
- Hainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou, China
| | - Qian Xiao
- Hainan Key Laboratory of Tropical Animal Reproduction and Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou, China
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