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Qu Y, Chen L, Ren X, Shari A, Yuan Y, Yu M, Xiao H, Li G. Milk proteomic analysis reveals differentially expressed proteins in high-yielding and low-yielding Guanzhong dairy goats at peak lactation. J DAIRY RES 2024; 91:31-37. [PMID: 38415394 DOI: 10.1017/s0022029924000013] [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] [Indexed: 02/29/2024]
Abstract
The aim of this experiment was to investigate the differential proteomic characteristics of milk from high- and low-yielding Guanzhong dairy goats during the peak lactation period under the same feeding conditions. Nine Guanzhong dairy goats with high yield (H: 3.5 ± 0.17 kg/d) and nine with low yield (L:1.2 ± 0.25 kg/d) were selected for milk proteomic analysis using tandem mass tag technology. A total of 78 differentially expressed proteins were identified. Compared with L, 50 proteins including HK3, HSPB1 and ANXA2 were significantly upregulated in H milk, while 28 proteins including LALBA and XDH were significantly downregulated. Bioinformatics analysis of the differentially expressed proteins showed that galactose metabolism, purine metabolism, glycolysis/gluconeogenesis, MAPK signaling pathway, regulation of actin cytoskeleton and other pathways were closely related to milk yield. HK3, HSPB1, ANXA2, LALBA and XDH were important candidate proteins associated with the milk production characteristics of Guanzhong dairy goats. Our data provide relevant biomarkers and a theoretical basis for improving milk production in Guanzhong dairy goats.
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Affiliation(s)
- Yingxin Qu
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Lu Chen
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Xinyang Ren
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Akang Shari
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Yuxin Yuan
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Mengqi Yu
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Haoqi Xiao
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
| | - Guang Li
- Technology Innovation Laboratory of Dairy Sheep Industry, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, P.R. China
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Fatty acids, essential amino acids, minerals and proteins profile in whey from goat cheese: Impacts of raising system. Small Rumin Res 2022. [DOI: 10.1016/j.smallrumres.2022.106842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Zhao Z, Liu N, Wang C, Cheng J, Guo M. Proteomic analysis of differentially expressed whey proteins in Saanen goat milk from different provinces in China using a data-independent acquisition technique. J Dairy Sci 2021; 104:10513-10527. [PMID: 34419278 DOI: 10.3168/jds.2020-19877] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/17/2021] [Indexed: 11/19/2022]
Abstract
Whey proteins of Saanen goat milk samples from 3 provinces in China (Guangdong, GD; Inner Mongolia, IM; Shaanxi, SX) were characterized and compared using data-independent acquisition quantitative proteomics technique. A total of 550 proteins were quantified in all 3 samples. There were 44, 44, and 33 differentially expressed proteins (DEP) for GD versus IM, GD versus SX, and IM versus SX, respectively. Gene ontology annotation analysis showed that the largest number of DEP for the 3 comparisons were as follows: for biological processes: response to progesterone, glyceraldehyde-3-phosphate metabolic process, and negative regulation of megakaryocyte differentiation; for molecular functions: antioxidant activity, binding, and peroxiredoxin activity; and for cellular components: the same category of extracellular regions for the 3 comparisons, respectively. Pathways for the DEP of 3 comparisons were (1) disease; (2) synthesis and metabolism; and (3) synthesis, degradation, and metabolism. Protein-protein interaction network analysis showed that DEP for GD versus SX had the most interactions.
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Affiliation(s)
- Zixuan Zhao
- Key Laboratory of Dairy Science, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China
| | - Ning Liu
- Key Laboratory of Dairy Science, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China
| | - Cuina Wang
- Key Laboratory of Dairy Science, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China; Department of Food Science, Jilin University, Changchun, 130062, China.
| | - Jianjun Cheng
- Key Laboratory of Dairy Science, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China.
| | - Mingruo Guo
- Department of Nutrition and Food Sciences, College of Agriculture and Life Sciences, University of Vermont, Burlington 05405
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