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Wang L, Pei H, Xing T, Chen D, Chen Y, Hao Z, Tian Y, Ding J. Gut bacteria and host metabolism: The keys to sea cucumber (Apostichopus japonicus) quality traits. Food Chem 2025; 482:144178. [PMID: 40209373 DOI: 10.1016/j.foodchem.2025.144178] [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: 12/03/2024] [Revised: 03/07/2025] [Accepted: 03/30/2025] [Indexed: 04/12/2025]
Abstract
Gut bacteria have a significant impact on modern genetics and contribute to the improvement of aquatic germplasm, which is a key focus for breeders. However, the effects of complex interactions between gut bacteria community and phenotypic trait of aquatic products remain largely unknown. Here, we unravel the association between phenotypic trait, gut microbiota and host metabolic variables of 216 sea cucumbers (Apostichopus japonicus) by Metagenome-wide association studies (MWAS) and Weighted correlation network analysis (WGCNA) methods. Our findings reveal that a total of 14 microbial biomarkers and 201 metabolic markers considered being associated with polysaccharide and collagen content. Among them, Desulfobacterota has the capacity to facilitate the synthesis of octopamine within the neuroactive ligand-receptor metabolic pathway, subsequently influencing polysaccharide content. Additionally, the Lachnospiraceae_NK4A136_group was shown to enhance collagen content through the facilitation of glycine synthesis. In conclusion, this research indicating that precision microbiome management could be a strategy for develop strategies for cultivating high-quality aquatic germplasm.
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Affiliation(s)
- Luo Wang
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China.
| | - Honglin Pei
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China
| | - Tengyu Xing
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China
| | - Dongsheng Chen
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China
| | - Yuchen Chen
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China
| | - Zhenlin Hao
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China
| | - Ying Tian
- Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China
| | - Jun Ding
- Key Laboratory of Northern Aquatic Germplasm Resources and Genetic Breeding in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Liaoning Province Aquatic Germplasm Resources Protection and Utilization Engineering Research Center, Dalian Ocean University, Dalian, 116023, China; Agriculture Department Key Laboratory of Mariculture & Stock Enhancement in North China Sea, Dalian Ocean University, Dalian, 116023, China.
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2
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Gu M, Li C, Ren Y, Chen L, Li S, Zhang D, Zheng X. Exploring the effect of part differences on metabolite molecule changes in refrigerated pork: Identifying key metabolite compounds and their conversion pathways. Food Chem 2024; 460:140308. [PMID: 39024809 DOI: 10.1016/j.foodchem.2024.140308] [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: 04/18/2024] [Revised: 06/28/2024] [Accepted: 06/30/2024] [Indexed: 07/20/2024]
Abstract
Effect of part differences on metabolite molecule alterations in refrigerated pork was investigated. A metabolomics methodology combined with chemometric analysis was successfully established to identify key compounds and their conversion pathways, including precursors and volatile metabolites, in the Longissimus lumborum as well as the breast and flank stored for 11 days. In total, 12 discriminative precursors were identified using the Short Time-series Expression Miner. In tandem with Random Forest and ANOVA analyses, nine volatile metabolites were identified as key compounds that could be attributed to differences in pork sections. Bidirectional orthogonal partial least squares analysis revealed a potential correlation between these key metabolites and discriminative precursors. Metabolic pathway enrichment analysis demonstrated that the primary metabolic process affected by variations in pork sections is linoleic acid metabolism, which participates in the metabolism of cysteine and glutamic acid to produce methoxy-phenyl-oxime. This study provides valuable insights into the identification of differential metabolites.
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Affiliation(s)
- Minghui Gu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Cheng Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Yuqing Ren
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Li Chen
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Shaobo Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Dequan Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Xiaochun Zheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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3
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Chen G, Ling XY, Xie MS, Xiong YF, Li TT, Wang Y, Shui CL, Li CM, Xu BC, Ma F. Systematic evaluation of the meat qualities of free-range chicken (Xuan-Zhou) under different ages explored the optimal slaughter age. Poult Sci 2024; 103:104019. [PMID: 38991384 PMCID: PMC11283215 DOI: 10.1016/j.psj.2024.104019] [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: 03/26/2024] [Revised: 06/10/2024] [Accepted: 06/19/2024] [Indexed: 07/13/2024] Open
Abstract
Meat qualities of free-range chicken (Xuan-Zhou) (XZ-FRC) are closely associated with slaughter age and directly influence the economic benefits of supplier and consumer's preference. Understanding of the relationship between meat qualities and ages will be of prime important to explore a better slaughter age of XZ-FRC. In this study, the quality traits of breast and thigh muscles from XZ-FRCs at 9 to 14 wk were analyzed to establish a relatively reliable method for selecting a better slaughter age. The results showed that the effects of slaughter ages on color (CIE L*, a* and b* values), shear force, centrifugal loss, and flavor of XZ-FRCs were significant (P < 0.05). There were greater differences in meat qualities, whatever breast or thigh muscles, between same or different ages. Eleven feature indexes used for colligation evaluation of slaughter age were selected by combining the quality characteristics and data analysis. The score of colligation evaluation for XZ-FRCs at 12 wk was higher than that at 9 and 14 wk, suggesting that the 12 wk was an optimal slaughter age. This work would provide a reference method that helps the producers of livestock and poultry to select a better slaughter age.
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Affiliation(s)
- Guang Chen
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Xun-Yan Ling
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Ming-Shu Xie
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Yang-Fan Xiong
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Ting-Ting Li
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Ying Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China
| | - Cong-Lin Shui
- South Anhui Distinctive Agricultural Product Processing Technology Research and Application Center, Xuanzhou District Bureau of Agriculture and Rural Affairs, Xuancheng 242000, Anhui Province, China
| | - Chao-Mu Li
- Anhui Muzi Agriculture and Animal Husbandry Development Co., Ltd., Xuancheng 242000, Anhui Province, China
| | - Bao-Cai Xu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China; South Anhui Distinctive Agricultural Product Processing Technology Research and Application Center, Xuanzhou District Bureau of Agriculture and Rural Affairs, Xuancheng 242000, Anhui Province, China
| | - Fei Ma
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, Anhui Province, China; South Anhui Distinctive Agricultural Product Processing Technology Research and Application Center, Xuanzhou District Bureau of Agriculture and Rural Affairs, Xuancheng 242000, Anhui Province, China.
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4
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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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5
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Silva SO, Pedro G Junior L, Machado MB, Jesus RS, Antônio S Farias M, Bezerra JA, Diego C Santos A. 1H NMR spectroscopy as a tool to probe potential biomarkers of the drying-salting process: A proof-of-concept study with the Amazon fish pirarucu. Food Chem 2024; 448:139047. [PMID: 38520988 DOI: 10.1016/j.foodchem.2024.139047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 03/25/2024]
Abstract
Dry-salted pirarucu (Arapaima gigas) plays an important cultural role in the Amazon region - South America. In this study, we explored the changes in the chemical composition of pirarucu meat following the drying-salting process via 1H NMR spectroscopy. Combining multivariate and univariate statistical analyses yielded a robust differentiation of metabolites involved in the process. VIP score (>1), p-value (<0.05), and AUC (>0.7) were considered to selecting compounds that had significant fluctuations in their contents along the process. Our results pointed out acetate, lactate, succinate, and creatinine as metabolites undergoing significant changes during the drying-salting process. Creatinine was not detected in fresh samples. The investigation of multiple components delves deeper into the molecular nuances of the salting-drying process's impact on fish meat, providing a more comprehensive understanding of the possible chemical transformations and how the matrix's quality control and nutritional aspects should be addressed.
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Affiliation(s)
- Samuel O Silva
- Núcleo de Estudos Químicos de Micromoléculas da Amazônia - NEQUIMA, Universidade Federal do Amazonas - UFAM, Manaus, Amazonas CEP 69067-005, Brazil
| | - Lucas Pedro G Junior
- Programa de pós-graduação em Aquicultura, Universidade Nilton Lins, Manaus, Amazonas CEP 69058-030, Brazil
| | - Marcos B Machado
- Núcleo de Estudos Químicos de Micromoléculas da Amazônia - NEQUIMA, Universidade Federal do Amazonas - UFAM, Manaus, Amazonas CEP 69067-005, Brazil
| | - Rogério S Jesus
- Instituto Nacional de Pesquisas da Amazônia - INPA, Laboratório de Tecnologia de Alimentos, Manaus, Amazonas CEP 69055-010, Brazil
| | - Marco Antônio S Farias
- Departamento de Tecnologia Agroindustrial e Socioeconomia Rural - DTAiSeR, Universidade Federal de São Carlos - UFSCar, São Paulo CEP 13600-970, Brazil
| | - Jaqueline A Bezerra
- Departamento de Química, Ambiente e Alimentos - DQA, Instituto Federal de Educação, Ciência e Tecnologia do Amazonas - IFAM, Manaus, Amazonas CEP, 69020-120 Brazil
| | - Alan Diego C Santos
- Núcleo de Estudos Químicos de Micromoléculas da Amazônia - NEQUIMA, Universidade Federal do Amazonas - UFAM, Manaus, Amazonas CEP 69067-005, Brazil.
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6
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Yang J, Zhu S, Ren W, Liang H, Li B, Li J. Constructing gellan gum/konjac glucomannan/wheat fiber composite hydrogel to simulate edible cartilage by ionic cross-link and moisture regulation. Food Res Int 2024; 187:114329. [PMID: 38763632 DOI: 10.1016/j.foodres.2024.114329] [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: 01/28/2024] [Revised: 04/01/2024] [Accepted: 04/16/2024] [Indexed: 05/21/2024]
Abstract
The utilization of non-animal-derived materials to imitate cartilage is critical for the advancement of plant-based simulated meat. In this study, gellan gum (GG), konjac glucomannan (KGM), and wheat fiber (WF) were used to construct hydrogel, and the mechanical strength, water properties, and microstructure were regulated by constructing Ca2+ cross-links and moisture control. The hardness, chewiness, resilience, shear force, and shear energy of the Ca2+ cross-linked samples were significantly improved. Extrusion dehydration further changes the related mechanical properties of the hydrogel and results in a tighter microstructure. The findings suggest that the establishment of Ca2+ cross-links and water regulation are efficacious techniques for modifying the texture of the GG/KGM/WF composite hydrogel. Correlation analysis and sensory evaluation showed that the test indexes and sensory scores of the samples with Ca2+ crosslinking and 80 % moisture content were similar to chicken breast cartilage, and the samples with Ca2+ crosslinking and 70 % moisture content were similar to pig crescent bone. This study presents a framework for designing edible cartilage simulators using polysaccharide hydrogels, with implications for enhancing the resemblance of plant-based meat products to real meat and expanding the range of vegetarian offerings available.
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Affiliation(s)
- Jiyu Yang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Wuhan 430070, China
| | - Sijia Zhu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Wuhan 430070, China
| | - Weiwen Ren
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Wuhan 430070, China
| | - Hongshan Liang
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Wuhan 430070, China
| | - Bin Li
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Wuhan 430070, China
| | - Jing Li
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Wuhan 430070, China.
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7
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Ma H, Lin B, Yan Z, Tong Y, Liu H, He X, Zhang H. Phenotypic Identification, Genetic Characterization, and Selective Signal Detection of Huitang Duck. Animals (Basel) 2024; 14:1747. [PMID: 38929366 PMCID: PMC11201145 DOI: 10.3390/ani14121747] [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: 03/15/2024] [Revised: 05/17/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
The Huitang duck (HT), a long-domesticated elite local breed from Hunan Province, China, with excellent meat quality, has not had its population genetic structure and genomic selective sweeps extensively studied to date. This study measured the phenotypic characteristics of HT and conducted comparative analysis between HT and 16 different duck breeds, including wild, indigenous, and meat breeds, to characterize its population structure and genetic potential. The results revealed that HT is a dual-purpose indigenous breed with a genetic background closely related to the Youxian sheldrake and Linwu ducks. In the selective sweep analysis between HT and Linwu ducks, genes such as PLCG2, FN1, and IGF2BP2, which are associated with muscle growth and development, were identified near the 27 selection signals. The comparison between HT and Jinding ducks revealed 68 selective signals that contained important genes associated with ovarian development (GRIK4, MAP3K8, and TGIF1) and egg-laying behaviors (ERBB4). Selective sweep analysis between HT and Youxian sheldrake ducks found 93 selective regions covering genes related to both meat (IGF1R and IGFBP5) and egg-production (FOXO3 and ITPR1) traits. Our study may provide novel knowledge for exploring the population structure and genetic potential of HT, offering a theoretical basis for its breeding strategies in the future.
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Affiliation(s)
- Haojie Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
| | - Bingjin Lin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
| | - Zhiyao Yan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
| | - Yueyue Tong
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
| | - Huichao Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
| | - Xi He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
- Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha 410128, China
| | - Haihan Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (H.M.); (B.L.); (Z.Y.); (Y.T.); (H.L.); (X.H.)
- Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha 410128, China
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8
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Xu L, He J, Duan M, Chang Y, Gu T, Tian Y, Cai Z, Jiang C, Zeng T, Lu L. Effects of lactic acid bacteria-derived fermented feed on the taste and quality of duck meat. Food Res Int 2023; 174:113679. [PMID: 37981371 DOI: 10.1016/j.foodres.2023.113679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 10/28/2023] [Accepted: 11/03/2023] [Indexed: 11/21/2023]
Abstract
The present study aimed to examine the impact of lactic acid bacteria- fermented feed (FF) on the taste and quality of duck meat, in addition to elucidating the potential metabolomic mechanism at play. The findings revealed that ducks fed with FF exhibited elevated pH levels and reduced cooking loss in their meat when compared to the control group. In addition, the sensory evaluation and e-tongue analysis revealed that the tenderness, juiciness, umami, richness, saltiness, and sweetness of duck meat were all enhanced by feeding FF. Moreover, an examination of the metabolome using 1H nuclear magnetic resonance (1H NMR) identified the principal differential metabolites that exhibited a correlation with taste, which included 2-aminoadipate, glucose, glycine, N-acetylcysteine, niacinamide, proline, and threonine. Furthermore, the differential metabolites that exhibited the greatest enrichment in duck meat could be primarily traced to glutathione metabolism, glycine, serine and threonine metabolism, taurine and hypotaurine metabolism. The potential factors contributing to the effect of FF and basic commercial duck feed (CF) were found to be primarily regulated via the aforementioned metabolic pathways. The study, therefore, offers a viable approach for enhancing the taste and quality of duck meat.
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Affiliation(s)
- Ligen Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315832, China; Hubei Hongshan Laboratory, National Research and Development Center for Egg Processing, College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Jun He
- Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315832, China
| | - Mingcai Duan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; Key Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315832, China
| | - Yuguang Chang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Tiantian Gu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Yong Tian
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Zhaoxia Cai
- Hubei Hongshan Laboratory, National Research and Development Center for Egg Processing, College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Chunqing Jiang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Tao Zeng
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
| | - Lizhi Lu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
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9
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de Moraes Vilar CSM, Malheiros JM, da Silva PF, Martins EH, Dos Santos Correia LEC, de Oliveira MHV, Colnago LA, de Vasconcelos Silva JAI, Mercadante MEZ. Muscle growth affects the metabolome of the pectoralis major muscle in red-winged tinamou (Rhynchotus rufescens). Poult Sci 2023; 102:103104. [PMID: 37837680 PMCID: PMC10589898 DOI: 10.1016/j.psj.2023.103104] [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: 05/18/2023] [Revised: 08/19/2023] [Accepted: 09/07/2023] [Indexed: 10/16/2023] Open
Abstract
The aim of the present study was to identify and quantify the metabolites (metabolome analysis) of the pectoralis major muscle in male red-winged tinamou (Rhynchotus rufescens) selected for growth traits. A selection index was developed for females [body weight (BW), chest circumference (CC), and thigh circumference (TC)] and males [BW, CC, TC, semen volume, and sperm concentration] in order to divide the animals into 2 experimental groups: selection group with a higher index (TinamouS) and commercial group with a lower index (TinamouC). Twenty male offspring of the 2 groups (TinamouS, n = 10; TinamouC, n = 10) were confined for 350 d. The birds were slaughtered and pectoralis major muscle samples were collected, subjected to polar and apolar metabolites extractions and analyzed by proton nuclear magnetic resonance (1H NMR) spectroscopy. Analysis of the polar metabolomic profile identified 65 metabolites; 29 of them were differentially expressed between the experimental groups (P < 0.05). The TinamouS groups exhibited significantly higher concentrations (P < 0.05) of 25 metabolites, including anserine, aspartate, betaine, carnosine, creatine, glutamate, threonine, 3-methylhistidine, NAD+, pyruvate, and taurine. Significantly higher concentrations of cysteine, beta-alanine, lactose, and choline were observed in the TinamouC group (P < 0.05). The metabolites identified in the muscle provided information about the main metabolic pathways (higher impact value and P < 0.05), for example, phenylalanine, tyrosine and tryptophan biosynthesis; alanine, aspartate and glutamate metabolism; D-glutamine and D-glutamate metabolism; β-alanine metabolism; glycine, serine and threonine metabolism; taurine and hypotaurine metabolism; histidine metabolism; phenylalanine metabolism. The NMR spectra of apolar fraction showed 8 classes of chemical compounds. The metabolome analysis shows that the selection index resulted in the upregulation of polyunsaturated fatty acids, unsaturated fatty acids, phosphocholines, phosphoethanolamines, triacylglycerols, and glycerophospholipids. The present study suggests that, despite few generations, the selection based on muscle growth traits promoted changes in metabolite concentrations in red-winged tinamou.
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Affiliation(s)
| | | | | | - Eduardo Henrique Martins
- School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil
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Zhang L, Li L, Xin Q, Zhu Z, Miao Z, Zheng N. Metabolomic characterization of Liancheng white and Cherry Valley duck breast meat and their relation to meat quality. Poult Sci 2023; 102:103020. [PMID: 37713801 PMCID: PMC10511810 DOI: 10.1016/j.psj.2023.103020] [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: 04/03/2023] [Revised: 08/09/2023] [Accepted: 08/09/2023] [Indexed: 09/17/2023] Open
Abstract
Liancheng white duck is a typical local duck breed in Fujian Province famous for its meat traits. To better understand how meat quality varies with breed, the chemical composition of breast meats of Liancheng white ducks (LD) and Cherry Valley ducks (CD) were examined using ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS).The correlation between meat quality and the differential metabolites was further analyzed. The results showed that the effects of breed on duck breast meat were significant for pH, color, cooking loss, and shear force. Liancheng white duck breast meat exhibited a higher shear force and pH, and lower cooking loss and lightness (L*24), redness (a*24), and yellowness (b*24) than CD. Metabolomic analysis revealed significant differences between the meat extracts from the 2 duck breeds. A total of 49 and 57 significantly different metabolites were identified in positive and negative ion modes, respectively. These differentially accumulated metabolites (DAMs) could be divided into 28 classes, of which the 4 main categories were carbohydrates, amino acids, fatty acids, and eicosanoids. Liancheng white duck might have better nutritional and medicinal value considering the higher content of (4Z,7Z,10Z,13Z,16Z,19Z)-4,7,10,13,16,19-docosahexaenoic acid (DHA), docosapentaenoic acid (DPA), eicosapentaenoic acid (EPA), and prostaglandinF3α (PGF3α), having anti-inflammatory orantioxidant effects. Carbohydrate concentration negatively correlated with pH24. The 4 metabolites positively correlated with the shear force. These results provide an overall perspective for bridging the gap between variation of duck meat quality and metabolites with respect to breed.
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Affiliation(s)
- Linli Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China
| | - Li Li
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China
| | - Qingwu Xin
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China
| | - Zhiming Zhu
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China
| | - Zhongwei Miao
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China
| | - Nenzhu Zheng
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China.
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11
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Fang J, Wang H, Niu T, Shi X, Xing X, Qu Y, Liu Y, Liu X, Xiao Y, Dou T, Shen Y, Liu K. Integration of Vitreous Lipidomics and Metabolomics for Comprehensive Understanding of the Pathogenesis of Proliferative Diabetic Retinopathy. J Proteome Res 2023. [PMID: 37329324 DOI: 10.1021/acs.jproteome.3c00007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
As a vision-threatening complication of diabetes mellitus (DM), proliferative diabetic retinopathy (PDR) is associated with sustained metabolic disorders. Herein, we collected the vitreous cavity fluid of 49 patients with PDR and 23 control subjects without DM for metabolomics and lipidomics analyses. Multivariate statistical methods were performed to explore relationships between samples. For each group of metabolites, gene set variation analysis scores were generated, and we constructed a lipid network by using weighted gene co-expression network analysis. The association between lipid co-expression modules and metabolite set scores was investigated using the two-way orthogonal partial least squares (O2PLS) model. A total of 390 lipids and 314 metabolites were identified. Multivariate statistical analysis revealed significant vitreous metabolic and lipid differences between PDR and controls. Pathway analysis showed that 8 metabolic processes might be associated with the development of PDR, and 14 lipid species were found to be altered in PDR patients. Combining metabolomics and lipidomics, we identified fatty acid desaturase 2 (FADS2) as an important potential contributor to the pathogenesis of PDR. Collectively, this study integrates vitreous metabolomics and lipidomics to comprehensively unravel metabolic dysregulation and identifies genetic variants associated with altered lipid species in the mechanistic pathways for PDR.
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Affiliation(s)
- Junwei Fang
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Hanying Wang
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Tian Niu
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Xin Shi
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Xindan Xing
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Yuan Qu
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Yujuan Liu
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Xinyi Liu
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Yu Xiao
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Tianyu Dou
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Yinchen Shen
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Kun Liu
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
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12
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Zhang Y, Qi S, Bao Q, Xu X, Cao Z, Bian Y, Wang Z, Zhang Y, Chen G, Qi X. Analysis of growth performance and carcass and meat quality of different crossbreeds of Cherry Valley duck. Br Poult Sci 2023. [PMID: 37184368 DOI: 10.1080/00071668.2023.2213652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Duck breeding and production are facing great opportunities in China, as the market for small-sized high-quality duck is rapidly expanding. Therefore, breeding the most suitable genetic stock has become an important goal.This study assessed body and carcass weight, slaughter rate and meat quality of offspring of three cross combinations; Cherry Valley duck (CV♂) × Small-sized Pekin duck (PK♀), CV♂×Taiwan white duck (TW♀), CV♂×Putian white duck (PT♀) and the corresponding pure lines at 56 d of age. These 420 ducks were raised in seven separate groups (10 pens/group, 3♂+3♀/pen).Body and carcass weights were significantly lower in the three cross combinations than CV ducks (P=0.042 and P=0.012). Abdominal fat and sebum weight were lowest in CV♂×PK♀, whereas the breast and the leg muscle weights were significantly higher in CV♂×PK♀ compared to CV♂×TW♀ and CV♂×PT♀ (P=0.018 and P=0.023). No difference was observed in the visceral tissues among the three cross combinations or compared to CV ducks.The performance indicators suggested that CV♂×PK♀, CV♂×TW♀ and CV♂×PT♀ cross combinations are best suited for segmented duck meat, featured duck meat and whole-duck processing, respectively.
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Affiliation(s)
- Yang Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Shangzong Qi
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Qiang Bao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xinlei Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Zhi Cao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Youqing Bian
- Jiangsu Scitech Demonstration Garden of Modern Animal Husbandry, Taizhou, 225300, China
| | - Zhaoshan Wang
- Jiangsu Eco Food Company Limited, Suqian, 223600, China
| | - Yu Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Guohong Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xu Qi
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
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13
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Gu M, Li C, Chen L, Li S, Xiao N, Zhang D, Zheng X. Insight from untargeted metabolomics: Revealing the potential marker compounds changes in refrigerated pork based on random forests machine learning algorithm. Food Chem 2023; 424:136341. [PMID: 37216778 DOI: 10.1016/j.foodchem.2023.136341] [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: 02/17/2023] [Revised: 04/16/2023] [Accepted: 05/08/2023] [Indexed: 05/24/2023]
Abstract
Data on changes in non-volatile components and metabolic pathways during pork storage were inadequately investigated. Herein, an untargeted metabolomics coupled with random forests machine learning algorithm was proposed to identify the potential marker compounds and their effects on non-volatile production during pork storage by ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS/MS). A total of 873 differential metabolites were identified based on analysis of variance (ANOVA). Bioinformatics analysis shows that the key metabolic pathways for protein degradation and amino acid transport are amino acid metabolism and nucleotide metabolism. Finally, 40 potential marker compounds were screened using the random forest regression model, innovatively proposing the key role of pentose-related metabolism in pork spoilage. Multiple linear regression analysis revealed that d-xylose, xanthine, and pyruvaldehyde could be key marker compounds related to the freshness of refrigerated pork. Therefore, this study could provide new ideas for the identification of marker compounds in refrigerated pork.
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Affiliation(s)
- Minghui Gu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Cheng Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Li Chen
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Shaobo Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Naiyu Xiao
- College of Light Industry and Food Science, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
| | - Dequan Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
| | - Xiaochun Zheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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14
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Profiles of muscular amino acids, fatty acids, and metabolites in Shaziling pigs of different ages and relation to meat quality. SCIENCE CHINA. LIFE SCIENCES 2022:10.1007/s11427-022-2227-6. [PMID: 36564558 DOI: 10.1007/s11427-022-2227-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 09/21/2022] [Indexed: 12/25/2022]
Abstract
Pork meat is closely related to physicochemical alterations during growth and development, resulting in differences in nutritional value and meat flavor. This study aimed to evaluate the composition of amino acids, fatty acids, and metabolic profiles in the longissimus thoracis muscle (LM) of Shaziling pigs aged 30, 90, 150, 210, and 300 days. The results showed that the predominant fatty acids identified in the LM of Shaziling pigs were C16:0, C16:1, C18:0, C18:1n9c, and C18:2n6c. An opposite correlation was observed for C18:2n6c and n6/n3 polyunsaturated fatty acids (P<0.05). Alanine, aspartate, glutamate, D-glutamine, and D-glutamate metabolism were the main metabolic pathways for the Shaziling pig meat flavor (P<0.05). Moreover, the correlation coefficients revealed that the contents of anserine, C16:0, C16:1, and C18:1n9c were positively correlated with intramuscular fat and/or pH24h and were negatively correlated with the values of L* (lightness) and b* (yellowness) (P<0.05). In conclusion, age greatly affected the meat quality of Shaziling pigs, and the contents of muscular anserine, C16:0, C16:1, and C18:1n9c might be promising indicators for better meat quality.
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15
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Ge Y, Gai K, Li Z, Chen Y, Wang L, Qi X, Xing K, Wang X, Xiao L, Ni H, Guo Y, Chen L, Sheng X. HPLC-QTRAP-MS-based metabolomics approach investigates the formation mechanisms of meat quality and flavor of Beijing You chicken. Food Chem X 2022; 17:100550. [PMID: 36845483 PMCID: PMC9943843 DOI: 10.1016/j.fochx.2022.100550] [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: 08/08/2022] [Revised: 11/29/2022] [Accepted: 12/18/2022] [Indexed: 12/24/2022] Open
Abstract
Chicken meat quality and flavor are determined by abundant metabolites. In this study, HPLC-QTRAP-MS-based metabolomic analysis was used to evaluate the characteristic metabolites in the breast muscle of Beijing You chickens aged 56, 98, and 120 days. A total of 544 metabolites in 32 categories were identified, among which amino acids and organic acids were the most abundant. 60 and 55 differential metabolites were identified between 56 and 98 days of age, 98 and 120 days of age, respectively. The content of l-carnitine, l-methionine and 3-hydroxybutyrate increased significantly at 98 or 120 days of age. Arginine biosynthesis, purine metabolism, alanine, aspartic acid, and glutamic acid metabolism were important metabolic pathways that affect chicken meat flavor. This study can help to elucidate the metabolic mechanism of breast muscle during Beijing You chicken development and provide a theoretical reference for the improvement of chicken meat quality and flavor.
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Affiliation(s)
- Yu Ge
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Kai Gai
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Zheng Li
- Beijing Institute of Feed Control, Beijing 100107, China
| | - Yu Chen
- Beijing General Station of Animal Husbandry, Beijing 100107, China
| | - Liang Wang
- Beijing General Station of Animal Husbandry, Beijing 100107, China
| | - Xiaolong Qi
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Kai Xing
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Xiangguo Wang
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Longfei Xiao
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Hemin Ni
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Yong Guo
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
| | - Li Chen
- Food Science and Engineering College, Beijing University of Agriculture, Beijing 102206, China
- Corresponding authors.
| | - Xihui Sheng
- Animal Science and Technology College, Beijing University of Agriculture, Beijing 102206, China
- Corresponding authors.
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16
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Zhu Z, Pius Bassey A, Cao Y, Du X, Huang T, Cheng Y, Huang M. Meat quality and flavor evaluation of Nanjing water boiled salted duck (NWSD) produced by different Muscovy duck (Cairina moschata) ingredients. Food Chem 2022; 397:133833. [PMID: 35933751 DOI: 10.1016/j.foodchem.2022.133833] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 07/25/2022] [Accepted: 07/29/2022] [Indexed: 12/24/2022]
Abstract
Reports on meat quality and flavor evaluation of Nanjing water boiled salted duck (NWSD) produced by different Muscovy duck (Cairina moschata) ingredients are limited. To select a suitable Muscovy duck ingredient for the NWSD processing, six kinds of NWSD products were produced using female (65, 70, and 75 days) and male (75, 80, and 85 days) Muscovy duck ingredients. The meat quality, volatile organic compounds (VOCs), smell and taste were investigated by using colorimeter, texture analyzer, headspace-gas chromatography-ion mobility spectroscopy (HS-GC-IMS), electronic nose (E-nose), electronic tongue (E-tongue), etc. Results exhibited that 32 iconic VOCs were obtained by using partial least squares discrimination analysis (PLS-DA), principal component analysis (PCA), and variable importance projection (VIP) methods. 80-day-old male Muscovy duck showed moderate moisture and protein content, good meat texture and bright color, diverse iconic VOCs and clear differentiation, making it the preferred ingredient for NWSD processing.
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Affiliation(s)
- Zongshuai Zhu
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Anthony Pius Bassey
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yaqi Cao
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xiaolan Du
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Tianran Huang
- Jiangsu Research Center for Livestock and Poultry Products Processing Engineering Technology, Nanjing Huangjiaoshou Food Science and Technology Co. Ltd., Nanjing 211200, PR China
| | - Yiqun Cheng
- College of Life Sciences, Anhui Normal University, Wuhu 241000, PR China
| | - Ming Huang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China; Jiangsu Research Center for Livestock and Poultry Products Processing Engineering Technology, Nanjing Huangjiaoshou Food Science and Technology Co. Ltd., Nanjing 211200, PR China.
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17
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Weng K, Huo W, Song L, Cao Z, Zhang Y, Zhang Y, Chen G, Xu Q. Effect of marketable age on nutritive profile of goose meat based on widely targeted metabolomics. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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18
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Chen L, Zhang H, Shi H, Xue C, Wang Q, Yu F, Xue Y, Wang Y, Li Z. The flavor profile changes of Pacific oysters (Crassostrea gigas) in response to salinity during depuration. Food Chem X 2022; 16:100485. [DOI: 10.1016/j.fochx.2022.100485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
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19
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Li C, Al-Dalali S, Zhou H, Xu B. Influence of curing on the metabolite profile of water-boiled salted duck. Food Chem 2022; 397:133752. [DOI: 10.1016/j.foodchem.2022.133752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 11/16/2022]
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20
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Wu W, Zhang L, Zheng X, Huang Q, Farag MA, Zhu R, Zhao C. Emerging applications of metabolomics in food science and future trends. Food Chem X 2022; 16:100500. [DOI: 10.1016/j.fochx.2022.100500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/17/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
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21
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Zhou H, Yang Y, Wang L, Ye S, Liu J, Gong P, Qian Y, Zeng H, Chen X. Integrated multi-omic data reveal the potential molecular mechanisms of the nutrition and flavor in Liancheng white duck meat. Front Genet 2022; 13:939585. [PMID: 36046229 PMCID: PMC9421069 DOI: 10.3389/fgene.2022.939585] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/14/2022] [Indexed: 12/01/2022] Open
Abstract
The Liancheng white (LW) duck is one of the most valued Chinese indigenous poultry breeds. Its meat is rich in nutrients and has distinct flavors, but the molecular mechanisms behind them are unknown. To address this issue, we measured and compared multi-omic data (genome, transcriptome, and metabolome) of breast meat from LW ducks and the Mianyang Shelduck (MS) ducks. We found that the LW duck has distinct breed-specific genetic features, including numerous mutant genes with differential expressions associated with amino acid metabolism and transport activities. The metabolome driven by genetic materials was also seen to differ between the two breeds. For example, several amino acids that are beneficial for human health, such as L-Arginine, L-Ornithine, and L-lysine, were found in considerably higher concentrations in LW muscle than in MS duck muscle (p < 0.05). SLC7A6, a mutant gene, was substantially upregulated in the LW group (p < 0.05), which may lead to excessive L-arginine and L-ornithine accumulation in LW duck meat through transport regulation. Further, guanosine monophosphate (GMP), an umami-tasting molecule, was considerably higher in LW muscle (p < 0.05), while L-Aspartic acid was significantly abundant in MS duck meat (p < 0.05), showing that the LW duck has a different umami formation. Overall, this study contributed to our understanding of the molecular mechanisms driving the enriched nutrients and distinct umami of LW duck meat, which will provide a useful reference for duck breeding.
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Affiliation(s)
- Hao Zhou
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Yu Yang
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
| | - Lixia Wang
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
| | - Shengqiang Ye
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
| | - Jiajia Liu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Ping Gong
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
| | - Yunguo Qian
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
| | - Huijun Zeng
- Wuhan Institute for Food and Cosmetic Control, Wuhan, China
- Key Laboratory of Edible Oil Quality and Safety for State Market Regulation, Wuhan, China
- *Correspondence: Huijun Zeng, ; Xing Chen,
| | - Xing Chen
- Insitute of Animal Husbandry and Veterinary, Wuhan Academy of Agricultural Science, Wuhan, China
- *Correspondence: Huijun Zeng, ; Xing Chen,
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22
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Kang C, Zhang Y, Zhang M, Qi J, Zhao W, Gu J, Guo W, Li Y. Screening of specific quantitative peptides of beef by LC-MS/MS coupled with OPLS-DA. Food Chem 2022; 387:132932. [PMID: 35421655 DOI: 10.1016/j.foodchem.2022.132932] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 12/14/2022]
Abstract
A rapid, simple, and efficient analysis methodology for screening specific quantitative peptides of beef was established based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) coupled with orthogonal partial least squares-discriminant analysis (OPLS-DA). The OPLS-DA model was built to select species-specific peptides that make a significant contribution to classification. Peptides with statistical significance were selected based on the variable importance in the projection (VIP) values and univariate P values. After the workflow of the statistical process, three specific quantitative peptides were identified by using homemade products with different beef contents. A quantification method for selected specific quantitative peptides was established by using LC-MS/MS. The quantitative results were applied to commercialized beef products. The developed method has high sensitivity, specificity, and repeatability. The results of this study proved that the integration of LC-MS/MS coupled with OPLS-DA is an efficient method for screening specific quantitative peptides and identification of the authenticity of meat products.
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Affiliation(s)
- Chaodi Kang
- China Meat Research Center, 100068 Beijing, China
| | | | | | - Jing Qi
- China Meat Research Center, 100068 Beijing, China
| | - Wentao Zhao
- China Meat Research Center, 100068 Beijing, China
| | - Jin Gu
- China Meat Research Center, 100068 Beijing, China
| | - Wenping Guo
- China Meat Research Center, 100068 Beijing, China
| | - Yingying Li
- China Meat Research Center, 100068 Beijing, China.
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23
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Li H, Geng W, Haruna SA, Zhou C, Wang Y, Ouyang Q, Chen Q. Identification of characteristic volatiles and metabolomic pathway during pork storage using HS-SPME-GC/MS coupled with multivariate analysis. Food Chem 2022; 373:131431. [PMID: 34700034 DOI: 10.1016/j.foodchem.2021.131431] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 09/25/2021] [Accepted: 10/17/2021] [Indexed: 02/06/2023]
Abstract
Previous researches have been conducted evaluating the volatile compounds of pork. However, data regarding the changes in volatiles and metabolic pathways during pork storage were inadequately investigated. Herein, a headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC/MS) coupled multivariate analysis was proposed for characterizing the profiles of volatile compounds and metabolic pathways during pork storage. A total of 37 metabolites, including aldehydes, ketones, alcohols etc. were successfully identified. Multivariate statistical analysis revealed a substantial variation in metabolite phenotype among samples over the pork storage period, with 12 characteristic metabolites and 5 potential characteristic metabolites screened as biomarkers. Moreover, three metabolomic pathways analysis and transformation between each other (thermal reactions, lipid metabolism and amino acid metabolism) reveals the underlying mechanisms of metabolites change of pork. Therefore, the present study may provide insight into future understanding of the variation in the pork metabolite profiles.
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Affiliation(s)
- Huanhuan Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Wenhui Geng
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Suleiman A Haruna
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Chenguang Zhou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Yin Wang
- Zhenjiang Agricultural Product Quality Inspection and Testing Center, PR China
| | - Qin Ouyang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Quansheng Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
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24
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Zhang T, Chen C, Xie K, Wang J, Pan Z. Current State of Metabolomics Research in Meat Quality Analysis and Authentication. Foods 2021; 10:2388. [PMID: 34681437 PMCID: PMC8535928 DOI: 10.3390/foods10102388] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 12/23/2022] Open
Abstract
In the past decades, as an emerging omic, metabolomics has been widely used in meat science research, showing promise in meat quality analysis and meat authentication. This review first provides a brief overview of the concept, analytical techniques, and analysis workflow of metabolomics. Additionally, the metabolomics research in quality analysis and authentication of meat is comprehensively described. Finally, the limitations, challenges, and future trends of metabolomics application in meat quality analysis and meat authentication are critically discussed. We hope to provide valuable insights for further research in meat quality.
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Affiliation(s)
- Tao Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Can Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Kaizhou Xie
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Jinyu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (T.Z.); (C.C.); (K.X.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
| | - Zhiming Pan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Yangzhou University, Yangzhou 225009, China
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25
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Zhang J, Wang G, Zou Y, Zhao Y, Ge C, Liao G. Changes in physicochemical properties and water‐soluble small molecular compounds of dry‐cured Xuanwei ham during processing. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Jingjing Zhang
- Livestock Product Processing and Engineering Technology Research Center of Yunnan Province Yunnan Agricultural University Kunming China
- College of Food Science and Technology Yunnan Agricultural University Kunming China
| | - Guiying Wang
- Livestock Product Processing and Engineering Technology Research Center of Yunnan Province Yunnan Agricultural University Kunming China
- College of Food Science and Technology Yunnan Agricultural University Kunming China
| | - Yinling Zou
- Livestock Product Processing and Engineering Technology Research Center of Yunnan Province Yunnan Agricultural University Kunming China
- College of Food Science and Technology Yunnan Agricultural University Kunming China
| | - Yaying Zhao
- Livestock Product Processing and Engineering Technology Research Center of Yunnan Province Yunnan Agricultural University Kunming China
- College of Food Science and Technology Yunnan Agricultural University Kunming China
| | - Changrong Ge
- Livestock Product Processing and Engineering Technology Research Center of Yunnan Province Yunnan Agricultural University Kunming China
| | - Guozhou Liao
- Livestock Product Processing and Engineering Technology Research Center of Yunnan Province Yunnan Agricultural University Kunming China
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26
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1H-NMR-Based Metabolomics: An Integrated Approach for the Detection of the Adulteration in Chicken, Chevon, Beef and Donkey Meat. Molecules 2021; 26:molecules26154643. [PMID: 34361796 PMCID: PMC8347375 DOI: 10.3390/molecules26154643] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 06/01/2021] [Accepted: 06/01/2021] [Indexed: 12/21/2022] Open
Abstract
Meat is a rich source of energy that provides high-value animal protein, fats, vitamins, minerals and trace amounts of carbohydrates. Globally, different types of meats are consumed to fulfill nutritional requirements. However, the increasing burden on the livestock industry has triggered the mixing of high-price meat species with low-quality/-price meat. This work aimed to differentiate different meat samples on the basis of metabolites. The metabolic difference between various meat samples was investigated through Nuclear Magnetic Resonance spectroscopy coupled with multivariate data analysis approaches like principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA). In total, 37 metabolites were identified in the gluteal muscle tissues of cow, goat, donkey and chicken using 1H-NMR spectroscopy. PCA was found unable to completely differentiate between meat types, whereas OPLS-DA showed an apparent separation and successfully differentiated samples from all four types of meat. Lactate, creatine, choline, acetate, leucine, isoleucine, valine, formate, carnitine, glutamate, 3-hydroxybutyrate and α-mannose were found as the major discriminating metabolites between white (chicken) and red meat (chevon, beef and donkey). However, inosine, lactate, uracil, carnosine, format, pyruvate, carnitine, creatine and acetate were found responsible for differentiating chevon, beef and donkey meat. The relative quantification of differentiating metabolites was performed using one-way ANOVA and Tukey test. Our results showed that NMR-based metabolomics is a powerful tool for the identification of novel signatures (potential biomarkers) to characterize meats from different sources and could potentially be used for quality control purposes in order to differentiate different meat types.
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27
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Mass spectrometry-based metabolomics to reveal chicken meat improvements by medium-chain monoglycerides supplementation: Taste, fresh meat quality, and composition. Food Chem 2021; 365:130303. [PMID: 34218108 DOI: 10.1016/j.foodchem.2021.130303] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 12/18/2022]
Abstract
This study was conducted to reveal the differences of chicken fresh meat quality, composition and taste induced by medium-chain monoglycerides (MG) supplementation. Results demonstrated that both chicken broth and meat taste were improved by MG supplementation. The up-regulated l-carnosine, sarcosine, uridine and nicotinamide in the chicken broth of the MG group contributed to the umami and meaty taste. Dietary MG increased the total superoxide dismutase activity and amino acid content in the muscle of chicken breast and reduced the malondialdehyde content and drip loss. Moreover, meat metabolome revealed that creatine, betaine, l-anserine, inosine 5'-monophosphate, hypoxanthine, inosine and phospholipid, as well as amino acid and purine metabolism pathway connected to the improvements of meat quality, composition and taste of broilers by MG addition. In conclusion, these findings provide convincing evidence regarding the improvements of fresh meat quality, composition and taste of broilers by MG supplementation.
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28
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Tang Z, Song B, Zheng C, Zheng J, Yin Y, Chen J. Dietary Beta-Hydroxy-Beta-Methyl Butyrate Supplementation Affects Growth, Carcass Characteristics, Meat Quality, and Serum Metabolomics Profile in Broiler Chickens. Front Physiol 2021; 12:633964. [PMID: 33643073 PMCID: PMC7902712 DOI: 10.3389/fphys.2021.633964] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 01/06/2021] [Indexed: 11/23/2022] Open
Abstract
This study aimed to explore the effects of beta-hydroxy-beta-methyl butyrate (HMB) on serum metabolic profiles and meat quality of muscles in Wenshi broiler chickens. Birds were fed a basal diet with an additional 0, 0.05, 0.10, or 0.15% HMB, respectively. Results showed that dietary HMB quadratically increased the average daily gain (P = 0.058) and decreased feed:gain (P < 0.05) mainly in the starter phase. At 51 days of age, birds receiving 0.10% HMB diet exhibited less abdominal fat and more breast yield than the control (P < 0.05). Moreover, dietary HMB quadratically decreased the L∗ value and drip loss in selected muscles (P < 0.05) and increased the a∗ value in breast muscle (P < 0.05). Serum metabolome profiling showed that the most differentially abundant metabolites are lipids and lipid-like molecules, including phosphatidylcholines. It was concluded that HMB improved growth performance and meat quality of muscle in broilers.
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Affiliation(s)
- Zhiyi Tang
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Bo Song
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Changbing Zheng
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Jie Zheng
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Yulong Yin
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China.,Key Laboratory of Agro-ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Jiashun Chen
- Animal Nutritional Genome and Germplasm Innovation Research Center, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China.,Key Laboratory of Agro-ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
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29
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Yu Q, Fang C, Ma Y, He S, Ajuwon KM, He J. Dietary resveratrol supplement improves carcass traits and meat quality of Pekin ducks. Poult Sci 2020; 100:100802. [PMID: 33518308 PMCID: PMC7936143 DOI: 10.1016/j.psj.2020.10.056] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 09/29/2020] [Accepted: 10/20/2020] [Indexed: 01/10/2023] Open
Abstract
With the increase of consumer demand for high-quality animal protein, it becomes imperative to improve meat quality through nutritional strategy. Resveratrol is a plant polyphenol that exists in grapes and grape products, and it has been considered as a potential functional feed additive. Here, we aimed to explore the optimal dose of resveratrol in Pekin ducks' diet and its effect on improving meat quality. A total of 432 male Pekin ducks (1-day-old) were selected and randomly allotted to 4 treatment groups, with each group containing 6 replicates. Four different levels of resveratrol were evaluated (0, 150, 300, and 450 mg/kg) for 42 d. The carcass traits, meat quality, and muscle fiber characteristics of Pekin ducks were investigated. Results showed that a∗24h, b∗24h, intramuscular fat, crude protein, total flavor amino acid content of duck breast muscle, and a∗45min of duck leg muscle were increased (P < 0.05) by resveratrol. Resveratrol also reduced abdominal fat deposition, shear force, L∗45min of breast muscle and drip loss, shear force, and L∗45min of leg muscle. In addition, the breast muscle fibers of resveratrol-fed ducks had lower diameter and cross-sectional area and higher density (P < 0.05). Overall, we conclude that dietary resveratrol supplement can effectively improve Pekin duck meat quality, the optimal additional range in diet being 300 to 450 mg/kg. Its underlying mechanism might be partly through stimulation of intramuscular fat and flavor amino deposition and alteration of muscle fiber characteristics.
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Affiliation(s)
- Qifang Yu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Chengkun Fang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Yujing Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Shaoping He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Kolapo Matthew Ajuwon
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907-2054, USA
| | - Jianhua He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
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30
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Creydt M, Fischer M. Food authentication in real life: How to link nontargeted approaches with routine analytics? Electrophoresis 2020; 41:1665-1679. [PMID: 32249434 DOI: 10.1002/elps.202000030] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/19/2020] [Accepted: 03/23/2020] [Indexed: 12/20/2022]
Abstract
In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding high-resolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.
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Affiliation(s)
- Marina Creydt
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
| | - Markus Fischer
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
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