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Chen X, Yu T, Dou Y, Ji Q, Guo L, Geng Z. High dietary energy decreased reproductive performance through increasing lipid deposition in Yangzhou geese at late laying stage. Poult Sci 2023; 102:102915. [PMID: 37478622 PMCID: PMC10371814 DOI: 10.1016/j.psj.2023.102915] [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: 02/24/2023] [Revised: 06/15/2023] [Accepted: 06/27/2023] [Indexed: 07/23/2023] Open
Abstract
Dietary metabolizable energy (ME) level could offer a well production performance through maintaining lipid homeostasis in poultry. In this study, a total of 540 geese (450 females and 90 males) at 64 wk of age with similar body weight (4,600 ± 382) were randomly divided into 5 groups with 3 replicates in each group and 30 females and 6 males (1♂:5♀) in each replicate. After 2 wk adaptation, the 5 groups were designed to provide diet with ME intakes of 9.65, 10.05, 10.70, 11.45, and 11.75 MJ/kg, respectively, according to production requirement. Body weight, egg production, hatchability, blood lipid, and fat deposition were recorded after 6 wk feeding. The expression of lipid synthesis-related genes, lipoprotein lipase (LPL) and fatty acid synthase (FASN), were determined by quantitative real-time PCR. Geese fed with high ME diet of 11.75 MJ/kg caused an increased liver and abdominal fat weight and low hatchability of set eggs. The ovarian weight and oviduct length were higher in geese fed dietary energy of 10.7 MJ/kg as compared to the 9.65 MJ/kg groups, whereas no significant difference was observed in geese fed dietary energy of 10.05 MJ/kg. Dietary energy level did not change the concentration of serum lipids at the late egg laying stage. The LPL expression exhibited linear and quadratic effect in response to dietary ME. The FASN expression showed quadratic effect and a relatively higher expression was exhibited in 10.05 and 11.45 MJ/kg than that of the 9.65 and 10.70 MJ/kg ME groups. According to the productivity, reproductive performance, and fat deposition, dietary ME of 10.13 to 10.28 MJ/kg could be suggested for breeding geese at their late laying stage.
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Affiliation(s)
- Xingyong Chen
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, P.R. China; Anhui Province Key Laboratory of Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, Anhui Agricultural University, Hefei, 230036, P.R. China.
| | - Taotao Yu
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, P.R. China
| | - Yuhao Dou
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, P.R. China
| | - Qianyun Ji
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, P.R. China
| | - Liping Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, P.R. China; Anhui Province Key Laboratory of Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, Anhui Agricultural University, Hefei, 230036, P.R. China
| | - Zhaoyu Geng
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, P.R. China; Anhui Province Key Laboratory of Local Livestock and Poultry Genetic Resource Conservation and Bio-Breeding, Anhui Agricultural University, Hefei, 230036, P.R. China
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Egg Yolk Fat Deposition Is Regulated by Diacylglycerol and Ceramide Enriched by Adipocytokine Signaling Pathway in Laying Hens. Animals (Basel) 2023; 13:ani13040607. [PMID: 36830395 PMCID: PMC9951658 DOI: 10.3390/ani13040607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/19/2023] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
The mechanism which regulates differential fat deposition in egg yolk from the indigenous breeds and commercial laying hens is still unclear. In this research, Chinese indigenous Huainan Partridge chickens and Nongda III commercial laying hens were used for egg collection and liver sampling. The weight of eggs and yolk were recorded. Yolk fatty acids were determined by gas chromatography-mass spectrometry. Lipid metabolites in the liver were detected by liquid chromatography-mass spectrometry. Yolk weight, yolk ratio and yolk fat ratio exhibited higher in the Huainan Partridge chicken than that of the Nongda III. Compared to the Nongda III, the content of total saturated fatty acid was lower, while the unsaturated fatty acid was higher in the yolk of the Huainan Partridge chicken. Metabolites of phosphatidylinositol and phosphatidylserine from glycerolphospholipids, and metabolites of diacylglycerol from glycerolipids showed higher enrichment in the Huainan Partridge chicken than that of the Nongda III, which promoted the activation of the adipocytokine signaling pathway. However, metabolites of phosphatidic acid, phosphatidylcholine, phosphatidylethanolamine and lysophosphatidylcholine from glycerol phospholipids, and metabolites of triacylglycerol from glycerolipids showed lower enrichment in the Huainan Partridge chicken than that of the Nongda III. The high level of yolk fat deposition in the Huainan Partridge chicken is regulated by the activation of the adipocytokine signaling pathway which can promote the accumulation of diacylglycerol and ceramide in the liver.
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Du X, Lai S, Zhao W, Xu X, Xu W, Zeng T, Tian Y, Lu L. Single-cell RNA sequencing revealed the liver heterogeneity between egg-laying duck and ceased-laying duck. BMC Genomics 2022; 23:857. [PMID: 36577943 PMCID: PMC9798604 DOI: 10.1186/s12864-022-09089-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND In the late phase of production, ducks untimely cease laying, leading to a lower feed conversion. Liver plays a vital role in the synthesis and transport of yolk materials during egg formation in birds. However, the molecular mechanism of liver in ceased-laying duck is far from clear, higher resolution and deeper analysis is needed. Sing-cell RNA-sequencing of 10 × Genomics platform can help to map the liver single cell gene expression atlas of Shaoxing duck and provide new insights into the liver between egg-laying and ceased-laying ducks. RESULTS About 20,000 single cells were profiled and 22 clusters were identified. All the clusters were identified as 6 cell types. The dominant cell type is hepatocyte, accounted for about 60% of all the cells. Of note, the heterogeneity of cells between egg-laying duck and ceased-laying duck mainly occurred in hepatocytes. Cells of cluster 3 and 12 were the unique hepatocyte states of egg-laying ducks, while cells of cluster 0 and 15 were the unique hepatocyte states of ceased-laying ducks. The expression mode of yolk precursor transporters, lipid metabolizing enzymes and fibrinogens were different in hepatocytes between egg-laying duck and ceased-laying duck. APOV1, VTG2, VTG1, APOB, RBP, VTDB and SCD might be activated in egg-laying ducks, while APOA1, APOA4, APOC3, FGB and FGG might be activated in ceased-laying ducks. CONCLUSIONS Our study further proofs that APOV1 and APOB play key roles in egg production, rather than APOA1 and APOA4. It is also the first to detect a correlation between the higher expression of APOC3, FGB, FGG and ceased-laying in duck.
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Affiliation(s)
- Xue Du
- grid.410744.20000 0000 9883 3553State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 Zhejiang China ,grid.443483.c0000 0000 9152 7385College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A & F University, Hangzhou, China
| | - Shujing Lai
- grid.16821.3c0000 0004 0368 8293Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wanqiu Zhao
- grid.410744.20000 0000 9883 3553Institute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310022 Zhejiang China
| | - Xiaoqin Xu
- grid.411527.40000 0004 0610 111XInstitute of Ecology, China West Normal University, Nanchong, 637002 Sichuan China
| | - Wenwu Xu
- grid.410744.20000 0000 9883 3553State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 Zhejiang China
| | - Tao Zeng
- grid.410744.20000 0000 9883 3553State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 Zhejiang China
| | - Yong Tian
- grid.410744.20000 0000 9883 3553State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 Zhejiang China
| | - Lizhi Lu
- grid.410744.20000 0000 9883 3553State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Animal Husbandry and Veterinary Medicine, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 Zhejiang China
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Liu H, Wei B, Tang Q, Chen C, Li Y, Yang Q, Wang J, Li J, Qi J, Xi Y, Hu J, Hu B, Bai L, Han C, Wang J, Li L. Non-target metabolomics reveals the changes of small molecular substances in duck breast meat under different preservation time. Food Res Int 2022; 161:111859. [PMID: 36192983 DOI: 10.1016/j.foodres.2022.111859] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 08/04/2022] [Accepted: 08/21/2022] [Indexed: 12/31/2022]
Abstract
Poultry products are an essential animal source of protein for humans. Many factors could destroy the balance of the poultry production chain and cause an overstock of products, which need to be stored in the frozen storage warehouse for a long time. The long-term frozen storage may affect the quality of meat products. In this study, the changes of small molecular substances were revealed in duck meat during long-term storage using non-targeted metabolomics. The results showed that compared with fresh meat, even if the meat is stored under frozen storage conditions, the number of differential metabolites of frozen storage meat continues to increase with the prolongation of storage time, indicating that the meat composition has changed significantly with the storage time increased. With the increase in storage time, the nitrogen-containing small molecular compounds in duck meat increased (carnosine and anserine, aspartic acid, and tyrosine, 1H-indole-3-acetamide, 2-Hydroxyphenethylamine, 2-Naphylamine, allocystathionine, and O-phosphoethanolamine), the nucleotides decomposition process strengthened (IMP and AMP, GMP and UMP), and the content of organic acid increased (5-hydroxy indole acetic acid, 5-hydroxypentanoic acid and phenylacetate, taurine) and carbohydrate (1-O-sinapoyl-beta-d-glucose, 4-O-beta-d-glucopyranosyl-d-mannose, and alpha-d-glucose). These small molecular substances can be used as biomarkers to detect long-term stored duck meat deterioration. KEGG enrichment analysis showed that protein catabolism, nucleotide catabolism, fat decomposition and oxidation, and carbohydrate decomposition were the main metabolic processes of meat deterioration during the long-term storage of duck meat. In addition, Non-target metabolome technology is a powerful tool to reveal the meat deterioration process during long-term storage systematically. This study provided a reference for optimizing domestic poultry meat storage methods and ensuring food safety.
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Affiliation(s)
- Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Bin Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Qian Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Cai Chen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yanying Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Qinglan Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jianmei Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Junpeng Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Bo Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Chunchun Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 613000, China.
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Han H, Li M, Liu Y, Yu H, Cao X, Zhao H, Wang B, Yue X, Zheng Y. Non-volatile metabolite changes in low-temperature sausage stored at room temperature. Food Packag Shelf Life 2022. [DOI: 10.1016/j.fpsl.2021.100805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Afrouziyeh M, Zukiwsky NM, Korver DR, Zuidhof MJ. Plasma metabolomic profiling reveals potential onset of lay biomarkers in broiler breeders. Poult Sci 2022; 101:101532. [PMID: 34823168 PMCID: PMC8626694 DOI: 10.1016/j.psj.2021.101532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 09/15/2021] [Accepted: 10/08/2021] [Indexed: 02/07/2023] Open
Abstract
Changes in the metabolic fingerprint of plasma during the onset of lay in broiler breeders were investigated. We used metabolomics to identify biomarkers of sexual maturity and to provide a comprehensive understanding of breeder metabolome during the pullet to hen transition period. A total of 36 pullets were used, in which 30 pullets were randomly assigned to one of 10 unique growth trajectories and 6 birds were assigned to an unrestricted group. The growth trajectories were designed using a 3-phase Gompertz growth model with 10 levels of BW gain in the prepubertal and pubertal growth phases ranging from the breeder-recommended target BW to 22.5% higher, in 2.5% increments. The BW trajectories were applied to each individual bird using a precision feeding (PF) system, which collected BW and feed intake data for each individual bird. The birds were classified based on age at first egg (AFE), and 12 pullets were chosen from the lower and upper AFE extremes (early and late onset of lay) at 18, 20, 22, 24, and 26 wk of age to run repeated blood plasma metabolomic assays. The metabolomic profile data were collected using a direct-injection liquid chromatography-tandem mass spectrometry and steroid assays. Univariate analysis identified 87 differential metabolites between the early- and late-onset of lay groups at 24 wk of age and 104 differential metabolites between the pullet and hen groups. Further investigation of differential metabolites showed 15 potential biomarkers for pullet to hen transition by analyzing the receiver operating characteristic (ROC) curve, mainly consisting of carnitine and choline metabolites. Differential metabolites during the pullet to hen transition were mainly associated with lipid, energy, and amino acid metabolism pathways, which gave clues to the physiological and metabolic shifts resulting from sexual maturation. At 24 wk of age, the main pathways involved in differentiation of the early- and late-onset of lay groups were related to lipid and amino acid metabolism. These metabolites could be involved in biosynthesis of egg yolk precursors in the liver.
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Affiliation(s)
- Mohammad Afrouziyeh
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5
| | - Nicole M Zukiwsky
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5
| | - Douglas R Korver
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5
| | - Martin J Zuidhof
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5.
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Ma F, Luo L, Gao X. Metabolite and transcriptome analyses revealed the modulation of fructo-oligosaccharide on ileum metabolism of Taiping chickens. J Appl Microbiol 2021; 132:2249-2261. [PMID: 34608718 DOI: 10.1111/jam.15319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/29/2021] [Accepted: 10/01/2021] [Indexed: 01/08/2023]
Abstract
AIM The metabolic markers and differentially expressed genes (DEGs) related to fructo-oligosaccharide (FOS) were screened, and the response of FOS to the ileum metabolic pathway of Taiping chickens was analysed. METHODS AND RESULTS Prebiotic are widely used in agricultural breeding for care and maintenance of animal health, especially FOS. Metabonomics evaluation of ileum of Taiping chicken ultra-performance liquid chromatography-quadruple time of-flight high-sensitivity mass spectrometry showed that 93 differentially altered metabolites were identified and divided into eight categories, of which organic acids and derivatives was the most important one. Transcriptomic analysis showed that DEGs were mainly enriched in drug metabolism-cytochrome p450, metabolism of xenobiotics by cytochrome p450, retinol metabolism and fat digestion and absorption. Integrated analysis of metabolite profiles and gene expression revealed that the significantly up-regulated GSTT1 was significantly correlated with most of the different lipid metabolites, suggesting that GSTT1 may play an important role in FOS regulation of lipid metabolism. CONCLUSIONS The results of this study suggest that supplementation of FOS can have a positive effect on gut metabolites, which may contribute to the overall health with indigenous chickens. SIGNIFICANCE AND IMPACT OF THE STUDY Insight into the responses of intestinal prebiotics of Taiping chicken is helpful to understand the role of prebiotics in maintaining intestinal microflora balance and improving immune response and productivity of poultry from the molecular and metabolic levels.
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Affiliation(s)
- Fang Ma
- Key Laboratory of Resource Utilization of Agricultural Solid Waste in Gansu Province, Tianshui Normal University, Tianshui, China
| | - Lintong Luo
- Key Laboratory of Resource Utilization of Agricultural Solid Waste in Gansu Province, Tianshui Normal University, Tianshui, China
| | - Xiang Gao
- Key Laboratory of Resource Utilization of Agricultural Solid Waste in Gansu Province, Tianshui Normal University, Tianshui, China
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Han H, Li M, Peng Y, Zhang Z, Yue X, Zheng Y. Microbial Diversity and Non-volatile Metabolites Profile of Low-Temperature Sausage Stored at Room Temperature. Front Microbiol 2021; 12:711963. [PMID: 34512589 PMCID: PMC8430334 DOI: 10.3389/fmicb.2021.711963] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/05/2021] [Indexed: 11/17/2022] Open
Abstract
Sausage is a highly perishable food with unique spoilage characteristics primarily because of its specific means of production. The quality of sausage during storage is determined by its microbial and metabolite changes. This study developed a preservative-free low-temperature sausage model and coated it with natural casing. We characterized the microbiota and non-volatile metabolites in the sausage after storage at 20°C for up to 12 days. Bacillus velezensis was the most prevalent species observed after 4 days. Lipids and lipid-like molecules, organoheterocyclic compounds, and organic acids and their derivatives were the primary non-volatile metabolites. The key non-volatile compounds were mainly involved in protein catabolism and β-lipid oxidation. These findings provide useful information for the optimization of sausage storage conditions.
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Affiliation(s)
- Hongjiao Han
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Mohan Li
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Yanqi Peng
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Zhenghan Zhang
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Xiqing Yue
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Yan Zheng
- College of Food Science, Shenyang Agricultural University, Shenyang, China
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Bello SF, Xu H, Guo L, Li K, Zheng M, Xu Y, Zhang S, Bekele EJ, Bahareldin AA, Zhu W, Zhang D, Zhang X, Ji C, Nie Q. Hypothalamic and ovarian transcriptome profiling reveals potential candidate genes in low and high egg production of white Muscovy ducks (Cairina moschata). Poult Sci 2021; 100:101310. [PMID: 34298381 PMCID: PMC8322464 DOI: 10.1016/j.psj.2021.101310] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 05/24/2021] [Accepted: 06/01/2021] [Indexed: 01/16/2023] Open
Abstract
In China, the low egg production rate is a major challenge to Muscovy duck farmers. Hypothalamus and ovary play essential role in egg production of birds. However, there are little or no reports from these tissues to identify potential candidate genes responsible for egg production in White Muscovy ducks. A total of 1,537 laying ducks were raised; the egg production traits which include age at first egg (days), number of eggs at 300 d, and number of eggs at 59 wk were recorded. Moreover, 4 lowest (LP) and 4 highest producing (HP) were selected at 59 wk of age, respectively. To understand the mechanism of egg laying regulation, we sequenced the hypothalamus and ovary transcriptome profiles in LP and HP using RNA-Seq. The results showed that the number of eggs at 300 d and number of eggs at 59 wk in the HP were significantly more (P < 0.001) than the LP ducks. In total, 106.98G clean bases were generated from 16 libraries with an average of 6.68G clean bases for each library. Further analysis showed 569 and 2,259 differentially expressed genes (DEGs) were identified in the hypothalamus and ovary between LP and HP, respectively. The KEGG pathway enrichment analysis revealed 114 and 139 pathways in the hypothalamus and ovary, respectively which includes Calcium signaling pathway, ECM-receptor interaction, Focal adhesion, MAPK signaling pathway, Apoptosis and Apelin signaling pathways that are involved in egg production. Based on the GO terms and KEGG pathways results, 10 potential candidate genes (P2RX1, LPAR2, ADORA1, FN1, AKT3, ADCY5, ADCY8, MAP3K8, PXN, and PTTG1) were identified to be responsible for egg production. Further, protein-protein interaction was analyzed to show the relationship between these candidate genes. Therefore, this study provides useful information on transcriptome of hypothalamus and ovary of LP and HP Muscovy ducks.
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Affiliation(s)
- Semiu Folaniyi Bello
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Haiping Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Lijin Guo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Kan Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Ming Zheng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Yibin Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Siyu Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Endashaw Jebessa Bekele
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Ali Abdalla Bahareldin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Weijian Zhu
- Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China
| | - Dexiang Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China; Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China
| | - Congliang Ji
- Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, Guangdong, China; Wens Foodstuff Group Co. Ltd., Yunfu, 527400 Guangdong, China.
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