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Guo Z, Chen Y, Wu Y, Zhan S, Wang L, Li L, Zhang H, Xu Z, Qiu S, Cao J, Guo J, Niu L, Zhong T. Changes in meat quality, metabolites and microorganisms of mutton during cold chain storage. Food Res Int 2024; 189:114551. [PMID: 38876590 DOI: 10.1016/j.foodres.2024.114551] [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: 02/27/2024] [Revised: 05/21/2024] [Accepted: 05/26/2024] [Indexed: 06/16/2024]
Abstract
During the cold chain storage process, changes in metabolites and microorganisms are highly likely to lead to changes in meat quality. To elucidate the changes in the composition of metabolites and microbiota during cold chain storage of mutton, this study utilized untargeted metabolome and 5R 16S rRNA sequencing analyses to investigate the changes in the longissimus dorsi under different cold chain temperatures (4 °C and -20 °C). With the extension of cold chain storage time, the meat color darkened and the content of C18:2n-6, C20:3n-6, and C23:0 were significantly increased in mutton. In this study, nine metabolites, including 1,2-Dioleoyl-sn-glycero-3-phosphoethanolamine, alanylphenylala-nine, indole-3-acrylic acid and the others, were significantly altered during cold chain storage. The abundance of the dominant microorganisms, including Brachymonas, Aeromonas, Corynebacterium and Steroidobacter, was significantly altered. Furthermore, a high correlation was observed between the different metabolites and microorganisms. These findings provide an in-depth understanding of the effects of different cold chain storage temperatures and times on the quality of mutton.
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Affiliation(s)
- Ziwei Guo
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yibing Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yuqin Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Siyuan Zhan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Linjie Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Li Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Hongping Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhenying Xu
- Chengdu Academy of Agriculture and Forestry Sciences, Chengdu 611130, China
| | - Shixiu Qiu
- Chengdu Academy of Agriculture and Forestry Sciences, Chengdu 611130, China
| | - Jiaxue Cao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Jiazhong Guo
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Niu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Tao Zhong
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China.
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Chen S, Wang S. Assessment of comprehensive PAH index in roasted Tan lamb by two-dimensional correlation spectroscopy combined with hyperspectral imaging. J Food Sci 2024; 89:4791-4805. [PMID: 39037347 DOI: 10.1111/1750-3841.17135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/24/2024] [Accepted: 05/03/2024] [Indexed: 07/23/2024]
Abstract
Thermally processed meat may contain harmful compounds, including polycyclic aromatic hydrocarbons (PAHs). This study constructed, for the first time, the comprehensive PAH index (CPI) concentration (phenanthrene [26.47%], acenaphthene [21.83%], pyrene [18.64%], fluoranthene [17.11%], fluorene [8.49%], and anthracene [7.46%]). A visible near-infrared (Vis-NIR) hyperspectral image (HSI) system was employed to detect CPI in 150 roasted Tan lamb samples. Furthermore, two-dimensional correlation spectra were used to identify spectral features and reveal the order of chemical bond changes under the characteristic peaks at 579-737-631-449 nm. The results indicated that competitive adaptive reweighted sampling-multiple linear regression quantitative prediction model worked the best with calibration set coefficient of determination of 0.9161, calibration set coefficient of root mean square error of 2.3426 µg/kg, R-squared prediction of 0.8469, and root mean square error of prediction of 2.4119 µg/kg. Finally, PAH content distributions were visualized using the best prediction model. This study aimed to propose a feasible method for CPI in roasted Tan lamb detection based on Vis-NIR HSI coupled with multivariate analysis methods.
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Affiliation(s)
- Sichun Chen
- School of Food Science and Engineering, Ningxia University, Yinchuan, China
| | - Songlei Wang
- School of Food Science and Engineering, Ningxia University, Yinchuan, China
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3
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Shi J, Liu Y, Xu YJ. MS based foodomics: An edge tool integrated metabolomics and proteomics for food science. Food Chem 2024; 446:138852. [PMID: 38428078 DOI: 10.1016/j.foodchem.2024.138852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/05/2024] [Accepted: 02/24/2024] [Indexed: 03/03/2024]
Abstract
Foodomics has become a popular methodology in food science studies. Mass spectrometry (MS) based metabolomics and proteomics analysis played indispensable roles in foodomics research. So far, several methodologies have been developed to detect the metabolites and proteins in diets and consumers, including sample preparation, MS data acquisition, annotation and interpretation. Moreover, multiomics analysis integrated metabolomics and proteomics have received considerable attentions in the field of food safety and nutrition, because of more comprehensive and deeply. In this context, we intended to review the emerging strategies and their applications in MS-based foodomics, as well as future challenges and trends. The principle and application of multiomics were also discussed, such as the optimization of data acquisition, development of analysis algorithm and exploration of systems biology.
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Affiliation(s)
- Jiachen Shi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
| | - Yuanfa Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
| | - Yong-Jiang Xu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, National Engineering Laboratory for Cereal Fermentation Technology, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, 1800 Lihu Road, Wuxi 214122, Jiangsu, People's Republic of China.
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4
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Barcellos JOJ, Zago D, Fagundes HX, Pereira GR, Sartori ED. Foetal programming in sheep: Reproductive and productive implications. Anim Reprod Sci 2024; 265:107494. [PMID: 38723401 DOI: 10.1016/j.anireprosci.2024.107494] [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: 01/19/2024] [Revised: 04/30/2024] [Accepted: 05/01/2024] [Indexed: 05/24/2024]
Abstract
The aim of this study was to evaluate the effects of pregnant ewe nutrition on the performance of offspring in terms of meat, wool production, and reproduction. Foetal programming in sheep has focused on several aspects related to foetal growth, postnatal production, behaviour, and immunological performance. Currently, significant efforts are being made to understand the endocrine, metabolic, and epigenetic mechanisms involved in offspring development. Current studies have not only evaluated the foetal period, despite the pre-conception parental nutrition has demonstrated an effect on the foetal, embryonic, and pre-implantation periods and can generate permanent effects in the foetal and postnatal phases. The performance of offspring is the result of interactions between the genome, epigenome, and environmental interventions during conception. Several factors influence the expression of phenotypic characteristics in progenies; however, this study focused on presenting data on the effect of pregnant ewe nutrition alone on foetal growth and the productive aspects of their offspring.
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Affiliation(s)
| | - Daniele Zago
- Federal University of Rio Grande do Sul - Department of Animal Science, Porto Alegre, Brazil
| | - Helena Xavier Fagundes
- Federal University of Rio Grande do Sul - Department of Animal Science, Porto Alegre, Brazil
| | | | - Everton Dezordi Sartori
- Federal University of Rio Grande do Sul - Department of Animal Science, Porto Alegre, Brazil
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Wang R, Lu Y, Qi J, Xi Y, Shen Z, Twumasi G, Bai L, Hu J, Wang J, Li L, Liu H. Genome-wide association analysis explores the genetic loci of amino acid content in duck's breast muscle. BMC Genomics 2024; 25:486. [PMID: 38755558 PMCID: PMC11097541 DOI: 10.1186/s12864-024-10287-1] [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: 10/04/2023] [Accepted: 04/05/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Amino acids are the basic components of protein and an important index to evaluate meat quality. With the rapid development of genomics, candidate regions and genes affecting amino acid content in livestock and poultry have been gradually revealed. Hence, genome-wide association study (GWAS) can be used to screen candidate loci associated with amino acid content in duck meat. RESULT In the current study, the content of 16 amino acids was detected in 358 duck breast muscles. The proportion of Glu to the total amino acid content was relatively high, and the proportion was 0.14. However, the proportion of Met content was relatively low, at just 0.03. By comparative analysis, significant differences were found between males and females in 3 amino acids, including Ser, Met, and Phe. In addition, 12 SNPs were significantly correlated with Pro content by GWAS analysis, and these SNPs were annotated by 7 protein-coding genes; 8 significant SNPs were associated with Tyr content, and these SNPs were annotated by 6 protein-coding genes. At the same time, linkage disequilibrium (LD) analysis was performed on these regions with significant signals. The results showed that three SNPs in the 55-56 Mbp region of chromosome 3 were highly correlated with the leader SNP (chr3:55526954) that affected Pro content (r2 > 0.6). Similarly, LD analysis showed that there were three SNPs in the 21.2-21.6 Mbp region of chromosome 13, which were highly correlated with leader SNP (chr13:21421661) (r2 > 0.6). Moreover, Through functional enrichment analysis of all candidate genes. The results of GO enrichment analysis showed that several significant GO items were associated with amino acid transport function, including amino acid transmembrane transport and glutamine transport. The results further indicate that these candidate genes are closely associated with amino acid transport. Among them, key candidate genes include SLC38A1. For KEGG enrichment analysis, CACNA2D3 and CACNA1D genes were covered by significant pathways. CONCLUSION In this study, GWAS analysis found a total of 28 significant SNPs affecting amino acid content. Through gene annotation, a total of 20 candidate genes were screened. In addition, Through LD analysis and enrichment analysis, we considered that SERAC1, CACNA2D3 and SLC38A1 genes are important candidate genes affecting amino acid content in duck breast muscle.
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Affiliation(s)
- Rui Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Yinjuan Lu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Zhenyang Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Grace Twumasi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China.
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China.
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Yang Z, Hou Y, Zhang M, Hou P, Liu C, Dou L, Chen X, Zhao L, Su L, Jin Y. Unraveling proteome changes of Sunit lamb meat in different feeding regimes and its relationship to flavor analyzed by TMT-labeled quantitative proteomic. Food Chem 2024; 437:137657. [PMID: 37952393 DOI: 10.1016/j.foodchem.2023.137657] [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: 05/20/2023] [Revised: 08/26/2023] [Accepted: 10/02/2023] [Indexed: 11/14/2023]
Abstract
In order to explore the molecular mechanism of the effect of feeding regimes on lamb flavor, biceps femoris muscle samples from pasture-fed groups (PF) and concentrate-fed groups (CF) were chosen, and tandem mass tag (TMT) labeling combined with mass spectrometry (MS) was performed to find associations between flavor indicators and proteome profiles. The content and composition of amino acids and volatile flavor substances were better in the PF compared to the CF, with higher levels of some beneficial flavor components such as Arg, Pro Pentanal, Heptanal, Octanal, 1-octen-3-ol and 2,3-Octanedione. About 82 differentially abundant proteins (DAPs) were identified. The Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis indicated that the pathways that may be associated with lamb flavor are focused on amino acid anabolism. These results provide a basis for further understanding of the molecular mechanisms of proteins in meat flavor regulation.
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Affiliation(s)
- Zhihao Yang
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China
| | - Yanru Hou
- College of Food Science and Engineering, Ningxia University, Yinchuan 750021, China
| | - Min Zhang
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China
| | - Puxin Hou
- Science and Technology Achievement Transformation Center, Bayannur 015000, China
| | - Chang Liu
- Inner Mongolia Vocational College of Chemical Engineering, Hohhot 010051, China
| | - Lu Dou
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China
| | - Xiaoyu Chen
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China
| | - Lihua Zhao
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China
| | - Lin Su
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China.
| | - Ye Jin
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; Integrative Research Base of Beef and Lamb Processing Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hohhot 010018, China.
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Gagaoua M, Franco D, Ramanathan R. Meat Omics: Trends and applications of Omics strategies in meat research. J Proteomics 2024; 295:105090. [PMID: 38290411 DOI: 10.1016/j.jprot.2024.105090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Affiliation(s)
| | - Daniel Franco
- Department of Chemical Engineering, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Ranjith Ramanathan
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA
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8
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Chacko Kaitholil SR, Mooney MH, Aubry A, Rezwan F, Shirali M. Insights into the influence of diet and genetics on feed efficiency and meat production in sheep. Anim Genet 2024; 55:20-46. [PMID: 38112204 PMCID: PMC10952161 DOI: 10.1111/age.13383] [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: 07/03/2023] [Revised: 10/06/2023] [Accepted: 11/22/2023] [Indexed: 12/21/2023]
Abstract
Feed costs and carcass yields affect the profitability and sustainability of sheep production. Therefore, it is crucial to select animals with a higher feed efficiency and high-quality meat production. This study focuses on the impact of dietary and genetic factors on production traits such as feed efficiency, carcass quality, and meat quality. Diets promote optimal sheep growth and development and provide sufficient protein can lead to higher-quality meat. However, establishing an optimized production system requires careful consideration and balance of dietary parameters. This includes ensuring adequate protein intake and feeding diets with higher intestinal absorption rates to enhance nutrient absorption in the gut. The study identifies specific genes, such as Callipyge, Calpastatin, and Myostatin, and the presence of causal mutations in these genes, as factors influencing animal growth rates, feed efficiency, and meat fatty acid profiles. Additionally, variants of other reported genes, including PIGY, UCP1, MEF2B, TNNC2, FABP4, SCD, FASN, ADCY8, ME1, CA1, GLIS1, IL1RAPL1, SOX5, SOX6, and IGF1, show potential as markers for sheep selection. A meta-analysis of reported heritability estimates reveals that residual feed intake (0.27 ± 0.07), hot carcass weight (0.26 ± 0.05), dressing percentage (0.23 ± 0.05), and intramuscular fat content (0.45 ± 0.04) are moderately to highly heritable traits. This suggests that these traits are less influenced by environmental factors and could be improved through genetic selection. Additionally, positive genetic correlations exist between body weight and hot carcass weight (0.91 ± 0.06), dressing percentage (0.35 ± 0.15), and shear force (0.27 ± 0.24), indicating that selecting for higher body weight could lead to favorable changes in carcass quality, and meat quality.
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Affiliation(s)
- Steffimol Rose Chacko Kaitholil
- Institute for Global Food Security, School of Biological SciencesQueen's University BelfastBelfastUK
- Agri‐Food and Biosciences InstituteHillsboroughUK
| | - Mark H. Mooney
- Institute for Global Food Security, School of Biological SciencesQueen's University BelfastBelfastUK
| | | | - Faisal Rezwan
- Department of Computer ScienceAberystwyth UniversityAberystwythUK
| | - Masoud Shirali
- Institute for Global Food Security, School of Biological SciencesQueen's University BelfastBelfastUK
- Agri‐Food and Biosciences InstituteHillsboroughUK
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Li M, Lu Y, Gao Z, Yue D, Hong J, Wu J, Xi D, Deng W, Chong Y. Pan-Omics in Sheep: Unveiling Genetic Landscapes. Animals (Basel) 2024; 14:273. [PMID: 38254442 PMCID: PMC10812798 DOI: 10.3390/ani14020273] [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: 11/28/2023] [Revised: 01/04/2024] [Accepted: 01/14/2024] [Indexed: 01/24/2024] Open
Abstract
Multi-omics-integrated analysis, known as panomics, represents an advanced methodology that harnesses various high-throughput technologies encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Sheep, playing a pivotal role in agricultural sectors due to their substantial economic importance, have witnessed remarkable advancements in genetic breeding through the amalgamation of multiomics analyses, particularly with the evolution of high-throughput technologies. This integrative approach has established a robust theoretical foundation, enabling a deeper understanding of sheep genetics and fostering improvements in breeding strategies. The comprehensive insights obtained through this approach shed light on diverse facets of sheep development, including growth, reproduction, disease resistance, and the quality of livestock products. This review primarily focuses on the application of principal omics analysis technologies in sheep, emphasizing correlation studies between multiomics data and specific traits such as meat quality, wool characteristics, and reproductive features. Additionally, this paper anticipates forthcoming trends and potential developments in this field.
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Affiliation(s)
- Mengfei Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Ying Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Zhendong Gao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Dan Yue
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
- Faculty of Animal Science and Technology, Yuxi Agricultural Vocational and Technical College, Yuxi 653106, China
| | - Jieyun Hong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Jiao Wu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Dongmei Xi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Weidong Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
| | - Yuqing Chong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (M.L.); (Y.L.); (Z.G.); (D.Y.); (J.H.); (J.W.); (D.X.); (W.D.)
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10
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Huang Z, Cai Z, Zhang J, Gu Y, Wang J, Yang J, Lv G, Yang C, Zhang Y, Ji C, Jiang S. Integrating proteomics and metabolomics to elucidate the molecular network regulating of inosine monophosphate-specific deposition in Jingyuan chicken. Poult Sci 2023; 102:103118. [PMID: 37862870 PMCID: PMC10590753 DOI: 10.1016/j.psj.2023.103118] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 09/10/2023] [Accepted: 09/12/2023] [Indexed: 10/22/2023] Open
Abstract
Inosine monophosphate (IMP) plays a significant role in meat taste, yet the molecular mechanisms controlling IMP deposition in muscle tissues still require elucidation. The present study systematically and comprehensively explores the molecular network governing IMP deposition in different regions of Jingyuan chicken muscle. Two muscle groups, the breast and leg, were examined as test materials. Using nontargeted metabolomic sequencing, we screened and identified 20 metabolites that regulate IMP-specific deposition. We maintained regular author and institution formatting, used clear, objective, and value-neutral language, and avoided biased or emotional language. We followed a consistent footnote style and formatting features and used precise word choice with technical terms where appropriate. Out of these, 5 were identified as significant contributors to the regulation of IMP deposition. We explained technical term abbreviations when first used and ensured a logical flow of information with causal connections between statements. The results indicate that PGM1, a key enzyme involved in synthesis, is higher in the breast muscle compared to the leg muscle, which may provide an explanation for the increased deposition of IMP in the breast muscle. We aimed for a clear structure with logical progression, avoided filler words, and ensured grammatical correctness. The activity of key enzymes (PKM2, AK1, AMPD1) involved in this process was higher in the breast muscle than in the leg muscle. In the case of IMP degradation metabolism, the activity of its participating enzyme (PurH) was lower in the breast muscle than in the leg muscle. These findings suggest that the increased deposition of IMP in Jingyuan chickens' breast muscle may result from elevated metabolism and reduced catabolism of key metabolites. In summary, a metaomic strategy was utilized to assess the molecular network regulation mechanism of IMP-specific deposition in various segments of Jingyuan chicken. These findings provide insight into genetic improvement and molecular breeding of meat quality traits for top-notch broilers.
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Affiliation(s)
- Zengwen Huang
- Agriculture College, Ningxia University, Ningxia, Yinchuan 750021, China; College of Animal Science, Xichang University, Sichuan, Xichang 615012, China; Xinjiang Taikun Group Co., Ltd., Xinjiang, Changji 831100, China
| | - Zhengyun Cai
- Agriculture College, Ningxia University, Ningxia, Yinchuan 750021, China
| | - Juan Zhang
- Agriculture College, Ningxia University, Ningxia, Yinchuan 750021, China.
| | - Yaling Gu
- Agriculture College, Ningxia University, Ningxia, Yinchuan 750021, China
| | - Jing Wang
- College of Animal Science, Xichang University, Sichuan, Xichang 615012, China
| | - Jinzeng Yang
- Department of Human Nutrition, Food & Animal Sciences, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Manoa, HI 96822
| | - Gang Lv
- Xinjiang Taikun Group Co., Ltd., Xinjiang, Changji 831100, China
| | - Chaoyun Yang
- College of Animal Science, Xichang University, Sichuan, Xichang 615012, China
| | - Yi Zhang
- College of Animal Science, Xichang University, Sichuan, Xichang 615012, China
| | - Chen Ji
- College of Animal Science, Xichang University, Sichuan, Xichang 615012, China
| | - Shengwang Jiang
- College of Animal Science, Xichang University, Sichuan, Xichang 615012, China
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