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Zhao L, Erasmus S, Yang P, Huang F, Zhang C, van Ruth S. Establishing the relations of characteristic aroma precursors and volatile compounds for authenticating Tibetan pork. Food Chem 2023; 427:136717. [PMID: 37392623 DOI: 10.1016/j.foodchem.2023.136717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/10/2023] [Accepted: 06/22/2023] [Indexed: 07/03/2023]
Abstract
Tibetan pork has been favored for its unique aromas, which originate from chemical reactions between characteristic precursors in cooking. The precursors (e.g., fatty acids, free amino acids, reducing sugars, and thiamine) of Tibetan pork ((semi-) free range) from different regions in China, comprising Tibet, Sichuan, Qinghai, and Yunnan, and commercial pork (indoor reared) were compared in this study. Tibetan pork was characterized by higher ω-3 polyunsaturated fatty acids (i.e., C18:3n3), higher essential (i.e., valine, leucine, and isoleucine), aromatic (i.e., phenylalanine), and sulfur-containing (i.e., methionine and cysteine) free amino acids, higher thiamine, and lower reducing sugars. Boiled Tibetan pork exhibited higher heptanal, 4-heptenal, and 4-pentylbenzaldehyde compared with commercial pork. The results from multivariate statistical analysis revealed that precursors combined with volatiles exhibited discriminating capability for characterizing Tibetan pork. The precursors in Tibetan pork exerted a certain effect on characteristic aroma generation, probably arising from promoting chemical reactions in cooking.
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Affiliation(s)
- Laiyu Zhao
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, 100193, China; Food Quality & Design Group, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, the Netherlands
| | - Sara Erasmus
- Food Quality & Design Group, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, the Netherlands
| | - Ping Yang
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Feng Huang
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Chunhui Zhang
- Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - Saskia van Ruth
- Food Quality & Design Group, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, the Netherlands; School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
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Zhang S, Zhang J, Cao C, Cai Y, Li Y, Song Y, Bao X, Zhang J. Effects of Different Rearing Systems on Lueyang Black-Bone Chickens: Meat Quality, Amino Acid Composition, and Breast Muscle Transcriptome. Genes (Basel) 2022; 13:genes13101898. [PMID: 36292783 PMCID: PMC9601429 DOI: 10.3390/genes13101898] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/16/2022] Open
Abstract
The quality of poultry products depends on genotype, rearing system, and environment. The aim of this study was to investigate the effects of different rearing systems on meat quality, amino acid composition, and breast muscle transcriptome from Lueyang black-bone chickens. Lueyang black-bone chickens (n = 900) were randomly divided into three groups (cage, flat-net, and free-range groups), with three replicates per group (100 chickens per replicate). At 16 weeks, a total of 36 healthy chickens (six males and six females per group) were collected, and their breast muscles were sampled to detect meat quality parameters, amino acid composition, and fatty acid contents. Furthermore, breast muscles from six random hens in each group were used for RNA-seq analysis. The results revealed that the values of pH, shear force, inosine monophosphate (IMP), palmitic acid, and linoleic acid in the free-range group were significantly higher than those in the caged group (p < 0.05). Fat content in the free-range group was significantly lower than in the caged and flat-net groups (p < 0.05). Glutamate (Glu) levels, the amino acid crucial for the umami taste, was significantly higher in the free-range group than in the caged group (p < 0.05). Meanwhile, there was no significant difference between the free-range and flat-net groups (p > 0.05). The breast muscle transcriptome results showed that there were 291, 131, and 387 differently expressed genes (DEGs) among the three comparison groups (caged vs. free-range, flat-net vs. caged, and flat-net vs. free-range, respectively) that were mainly related to muscle development and amino acid metabolism pathways. To validate the accuracy of the transcriptome data, eight genes (GOS2, ASNS, NMRK2, GADL1, SMTNL2, SLC7A5, AMPD1, and GLUL) which relate to fat deposition, skeletal muscle function, and flavor formation were selected for Real-time Quantitative PCR (RT-qPCR) verification. In conclusion, these results suggested that rearing systems significantly influenced the meat quality and gene expression of Lueyang black-bone chickens. All the data proved that free-range and flat-net systems may provide better flavor to consumers by affecting the deposition of flavor substances and the expression of related genes. These findings will provide a valuable theoretical basis for the rearing system selection in the poultry industry.
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Li J, Zhang S, Gu X, Xie J, Zhu X, Wang Y, Shan T. Effects of alfalfa levels on carcass traits, meat quality, fatty acid composition, amino acid profile, and gut microflora composition of Heigai pigs. Front Nutr 2022; 9:975455. [PMID: 36245526 PMCID: PMC9566568 DOI: 10.3389/fnut.2022.975455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/26/2022] [Indexed: 12/01/2022] Open
Abstract
Recent years have witnessed a dramatic increase in the demand for healthy and high-quality pork. Alfalfa, one of the most popular perennial forages, is considered a rich source of highly nutritional forage for livestock feed, as it contains over 90% insoluble dietary fiber. Nevertheless, there is a paucity of data confirming the effects of adding alfalfa on pork quality, amino acid composition, and intestinal microbiota composition. Therefore, the objective of this study was to investigate the effects of different dietary levels of alfalfa on carcass traits, meat quality, amino acid and fatty acid composition, and the intestinal microbiota of Heigai pigs. A total of 72 finishing Heigai pigs were randomly assigned to two groups (n = 36), with six replicate groups and six pigs per replication. The two experimental diets were formulated to include graded levels of alfalfa, 20% (AM20) and 30% (AM30). The results showed that adding 30% alfalfa meal did not affect the growth performance of Heigai pigs but significantly reduced backfat thickness (P < 0.05), pH (P < 0.05), increased the a* value, b* value, and flavor amino acid and essential amino acid contents in longissimus dorsi muscle (LDM). In addition, AM30 didn't affect colonic microbiota abundance but significantly reduced the relative abundances of three phyla, such as Verrucomicrobia, and 43 genera, such as Akkermansia, and significantly increased the relative abundances of 47 genera, such as Prevotella-2. Overall, these results advocate for a diet containing 30% alfalfa to improve meat quality by changing the intestinal microflora composition without affecting the growth performance of Heigai pigs, which provides compelling evidence for the use of alfalfa to relieve the pressure on corn and soybean meal demand and produce high-quality pork.
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Affiliation(s)
- Jie Li
- Institute of Feed Science, College of Animal Sciences, Zhejiang Univeristy, Hangzhou, China
- The Key Laboratory of Molecular Animal Nutrition, Zhejiang University, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Shu Zhang
- Institute of Feed Science, College of Animal Sciences, Zhejiang Univeristy, Hangzhou, China
- The Key Laboratory of Molecular Animal Nutrition, Zhejiang University, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xin Gu
- Institute of Feed Science, College of Animal Sciences, Zhejiang Univeristy, Hangzhou, China
- The Key Laboratory of Molecular Animal Nutrition, Zhejiang University, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Jintang Xie
- Shandong Chunteng Food Co. Ltd., Zaozhuang, Shandong, China
| | - Xiaodong Zhu
- Shandong Chunteng Food Co. Ltd., Zaozhuang, Shandong, China
| | - Yizhen Wang
- Institute of Feed Science, College of Animal Sciences, Zhejiang Univeristy, Hangzhou, China
- The Key Laboratory of Molecular Animal Nutrition, Zhejiang University, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Tizhong Shan
- Institute of Feed Science, College of Animal Sciences, Zhejiang Univeristy, Hangzhou, China
- The Key Laboratory of Molecular Animal Nutrition, Zhejiang University, Ministry of Education, Hangzhou, Zhejiang, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang, China
- *Correspondence: Tizhong Shan
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Chen B, Yue Y, Li J, Liu J, Yuan C, Guo T, Zhang D, Yang B, Lu Z. Transcriptome-metabolome analysis reveals how sires affect meat quality in hybrid sheep populations. Front Nutr 2022; 9:967985. [PMID: 36034900 PMCID: PMC9403842 DOI: 10.3389/fnut.2022.967985] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/28/2022] [Indexed: 12/03/2022] Open
Abstract
Crossbreeding improves and enhances meat quality and is widely used in sheep production; however, the molecular mechanisms underlying the meat quality of various crossbred sheep remain unknown. In this study, male Southdown, Suffolk and Hu sheep were crossbred with female Hu sheep, and the transcriptomes and metabolomes of the longissimus dorsi muscle of the F1 generation were sequenced to explore how different sire breeds affect meat quality. The results showed that 631 differentially expressed genes and 119 significantly altered metabolites contributed to muscle development characteristics and meat quality-related diversity (P < 0.05). These genes and metabolites were significantly enriched in lipid metabolism pathways, including arachidonic acid metabolism and PPAR signaling. Several candidate genes were associated with muscle growth, such as MYLK3, MYL10, FIGN, MYH8, MYOM3, LMCD1, and FLRT1. Among these, MYH8 and MYL10 participated in regulating muscle growth and development and were correlated with meat quality-related fatty acid levels (|r| > 0.5 and p < 0.05). We selected mRNA from four of these genes to verify the accuracy of the sequencing data via qRT-PCR. Our findings provide further insight into the key genes and metabolites involved in muscle growth and meat quality in hybrid sheep populations.
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Affiliation(s)
- Bowen Chen
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yaojing Yue
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianye Li
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Jianbin Liu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Chao Yuan
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Tingting Guo
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Dan Zhang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Bohui Yang
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on the Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China.,Sheep Breeding Engineering Technology Research Center of Chinese Academy of Agricultural Sciences, Lanzhou, China
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