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Wanapat M, Dagaew G, Sommai S, Matra M, Suriyapha C, Prachumchai R, Muslykhah U, Phupaboon S. The application of omics technologies for understanding tropical plants-based bioactive compounds in ruminants: a review. J Anim Sci Biotechnol 2024; 15:58. [PMID: 38689368 PMCID: PMC11062008 DOI: 10.1186/s40104-024-01017-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 02/29/2024] [Indexed: 05/02/2024] Open
Abstract
Finding out how diet impacts health and metabolism while concentrating on the functional qualities and bioactive components of food is the crucial scientific objective of nutritional research. The complex relationship between metabolism and nutrition could be investigated with cutting-edge "omics" and bioinformatics techniques. This review paper provides an overview of the use of omics technologies in nutritional research, with a particular emphasis on the new applications of transcriptomics, proteomics, metabolomics, and genomes in functional and biological activity research on ruminant livestock and products in the tropical regions. A wealth of knowledge has been uncovered regarding the regulation and use of numerous physiological and pathological processes by gene, mRNA, protein, and metabolite expressions under various physiological situations and guidelines. In particular, the components of meat and milk were assessed using omics research utilizing the various methods of transcriptomics, proteomics, metabolomics, and genomes. The goal of this review is to use omics technologies-which have been steadily gaining popularity as technological tools-to develop new nutritional, genetic, and leadership strategies to improve animal products and their quality control. We also present an overview of the new applications of omics technologies in cattle production and employ nutriomics and foodomics technologies to investigate the microbes in the rumen ecology. Thus, the application of state-of-the-art omics technology may aid in our understanding of how species and/or breeds adapt, and the sustainability of tropical animal production, in the long run, is becoming increasingly important as a means of mitigating the consequences of climate change.
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Affiliation(s)
- Metha Wanapat
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Gamonmas Dagaew
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Sukruthai Sommai
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Maharach Matra
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Chaichana Suriyapha
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Rittikeard Prachumchai
- Department of Animal Science, Faculty of Agricultural Technology, University of Technology Thanyaburi, Rajamangala Pathum Thani, 12130, Thailand
| | - Uswatun Muslykhah
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Srisan Phupaboon
- Tropical Feed Resources Research and Development Center (TROFREC), Department of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002, Thailand.
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Zhao X, Wang Y, Wang L, Sun S, Li C, Zhang X, Chen L, Tian Y. Differences of serum glucose and lipid metabolism and immune parameters and blood metabolomics regarding the transition cows in the antepartum and postpartum period. Front Vet Sci 2024; 11:1347585. [PMID: 38371596 PMCID: PMC10869552 DOI: 10.3389/fvets.2024.1347585] [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: 12/01/2023] [Accepted: 01/10/2024] [Indexed: 02/20/2024] Open
Abstract
This study aims to investigate differences in metabolism regarding the transition cows. Eight cows were selected for the test. Serum was collected on antepartum days 14th (ap14) and 7th (ap7) and postpartum days 1st (pp1), 7th (pp7), and 14th (pp14) to detect biochemical parameters. The experiment screened out differential metabolites in the antepartum (ap) and postpartum (pp) periods and combined with metabolic pathway analysis to study the relationship and role between metabolites and metabolic abnormalities. Results: (1) The glucose (Glu) levels in ap7 were significantly higher than the other groups (p < 0.01). The insulin (Ins) levels of ap7 were significantly higher than pp7 (p = 0.028) and pp14 (p < 0.01), and pp1 was also significantly higher than pp14 (p = 0.016). The insulin resistance (HOMA-IR) levels of ap7 were significantly higher than ap14, pp7, and pp14 (p < 0.01). The cholestenone (CHO) levels of ap14 and pp14 were significantly higher than pp1 (p < 0.01). The CHO levels of pp14 were significantly higher than pp7 (p < 0.01). The high density lipoprotein cholesterol (DHDL) levels of pp1 were significantly lower than ap14 (p = 0.04), pp7 (p < 0.01), and pp14 (p < 0.01), and pp14 was also significantly higher than ap14 and ap7 (p < 0.01). (2) The interferon-gamma (IFN-γ) and tumor necrosis factor α (TNF-α) levels of ap7 were significantly higher than pp1 and pp7 (p < 0.01); the immunoglobulin A (IgA) levels of pp1 were significantly higher than ap7 and pp7 (p < 0.01); the interleukin-4 (IL-4) levels of pp7 were significantly higher than ap7 and pp1 (p < 0.01), the interleukin-6 (IL-6) levels of ap7 and pp1 were significantly higher than pp7 (p < 0.01). (3) Metabolomics identified differential metabolites mainly involved in metabolic pathways, such as tryptophan metabolism, alpha-linolenic acid metabolism, tyrosine metabolism, and lysine degradation. The main relevant metabolism was concentrated in lipid and lipid-like molecules, organic heterocyclic compounds, organic acids, and their derivatives. The results displayed the metabolic changes in the transition period, which laid a foundation for further exploring the mechanism of metabolic abnormalities in dairy cows in the transition period.
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Affiliation(s)
- Xinya Zhao
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Yuxin Wang
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Luyao Wang
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Shouqiang Sun
- Tianjin Jialihe Animal Husbandry Group Co., Ltd., Tianjin, China
| | - Chaoyue Li
- Tianjin Jialihe Animal Husbandry Group Co., Ltd., Tianjin, China
| | - Xuewei Zhang
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Long Chen
- Beijing Dongfang Lianming Technology Development Co., Ltd., Beijing, China
| | - Yujia Tian
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
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Xu Y, Zhang Y, Qin Y, Gu M, Chen R, Sun Y, Wu Y, Li Q, Qiao Y, Wang X, Zhang Q, Kong L, Li S, Wang Z. Multi-omics analysis of functional substances and expression verification in cashmere fineness. BMC Genomics 2023; 24:720. [PMID: 38017403 PMCID: PMC10685610 DOI: 10.1186/s12864-023-09825-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 11/21/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Numerous factors influence the growth and development of cashmere. Existing research on cashmere has predominantly emphasized a single omics level. Integrating multi-omics analyses can offer a more comprehensive understanding by encompassing the entire spectrum. This study more accurately and comprehensively identified the key factors influencing cashmere fineness using multi-omics analysis. METHODS This study used skin tissues of coarse cashmere type (CT_LCG) and fine cashmere type Liaoning cashmere goats (FT_LCG) for the analysis. This study employed an integrated approach involving transcriptomics, translatomics, proteomics, and metabolomics to identify substances associated with cashmere fineness. The findings were validated using parallel reaction monitoring (PRM) and multiple reaction monitoring (MRM) techniques. RESULTS The GO functional enrichment analysis identified three common terms: multicellular organismal process, immune system process, and extracellular region. Furthermore, the KEGG enrichment analysis uncovered the involvement of the arachidonic acid metabolic pathway. Protein expression trends were verified using PRM technology. The expression trends of KRT79, as confirmed by PRM, were consistent with those observed in TMT proteomics and exhibited a positive regulatory effect on cashmere fineness. Metabolite expression trends were confirmed using MRM technology. The expression trends of 9 out of 15 validated metabolites were in agreement with those identified in the non-targeted metabolomics analysis. CONCLUSIONS This study employed multi-omics analysis to identify key regulators of cashmere fineness, including PLA2G12A, KRT79, and prostaglandin B2. The findings of this study offer valuable data and establish a theoretical foundation for conducting comprehensive investigations into the molecular regulatory mechanisms and functional aspects of cashmere fineness.
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Affiliation(s)
- Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Qian Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanjun Qiao
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Xiaowei Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Qiu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Lingchao Kong
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Shuaitong Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
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Salzano A, Fioriniello S, D'Onofrio N, Balestrieri ML, Aiese Cigliano R, Neglia G, Della Ragione F, Campanile G. Transcriptomic profiles of the ruminal wall in Italian Mediterranean dairy buffaloes fed green forage. BMC Genomics 2023; 24:133. [PMID: 36941576 PMCID: PMC10029215 DOI: 10.1186/s12864-023-09215-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 02/28/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Green feed diet in ruminants exerts a beneficial effect on rumen metabolism and enhances the content of milk nutraceutical quality. At present, a comprehensive analysis focused on the identification of genes, and therefore, biological processes modulated by the green feed in buffalo rumen has never been reported. We performed RNA-sequencing in the rumen of buffaloes fed a total mixed ration (TMR) + the inclusion of 30% of ryegrass green feed (treated) or TMR (control), and identified differentially expressed genes (DEGs) using EdgeR and NOISeq tools. RESULTS We found 155 DEGs using EdgeR (p-values < 0.05) and 61 DEGs using NOISeq (prob ≥0.8), 30 of which are shared. The rt-qPCR validation suggested a higher reliability of EdgeR results as compared with NOISeq data, in our biological context. Gene Ontology analysis of DEGs identified using EdgeR revealed that green feed modulates biological processes relevant for the rumen physiology and, then, health and well-being of buffaloes, such as lipid metabolism, response to the oxidative stress, immune response, and muscle structure and function. Accordingly, we found: (i) up-regulation of HSD17B13, LOC102410803 (or PSAT1) and HYKK, and down-regulation of CDO1, SELENBP1 and PEMT, encoding factors involved in energy, lipid and amino acid metabolism; (ii) enhanced expression of SIM2 and TRIM14, whose products are implicated in the immune response and defense against infections, and reduced expression of LOC112585166 (or SAAL1), ROR2, SMOC2, and S100A11, encoding pro-inflammatory factors; (iii) up-regulation of NUDT18, DNAJA4 and HSF4, whose products counteract stressful conditions, and down-regulation of LOC102396388 (or UGT1A9) and LOC102413340 (or MRP4/ABCC4), encoding detoxifying factors; (iv) increased expression of KCNK10, CACNG4, and ATP2B4, encoding proteins modulating Ca2+ homeostasis, and reduced expression of the cytoskeleton-related MYH11 and DES. CONCLUSION Although statistically unpowered, this study suggests that green feed modulates the expression of genes involved in biological processes relevant for rumen functionality and physiology, and thus, for welfare and quality production in Italian Mediterranean dairy buffaloes. These findings, that need to be further confirmed through the validation of additional DEGs, allow to speculate a role of green feed in the production of nutraceutical molecules, whose levels might be enhanced also in milk.
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Affiliation(s)
- Angela Salzano
- Department of Veterinary Medicine and Animal Production, Federico II University, Naples, Italy
| | | | - Nunzia D'Onofrio
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | | | - Gianluca Neglia
- Department of Veterinary Medicine and Animal Production, Federico II University, Naples, Italy
| | - Floriana Della Ragione
- Institute of Genetics and Biophysics 'A. Buzzati-Traverso', CNR, Naples, Italy.
- IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Isernia, Italy.
| | - Giuseppe Campanile
- Department of Veterinary Medicine and Animal Production, Federico II University, Naples, Italy
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Analysis of milk with liquid chromatography–mass spectrometry: a review. Eur Food Res Technol 2023. [DOI: 10.1007/s00217-022-04197-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
AbstractAs a widely consumed foodstuff, milk and dairy products are increasingly studied over the years. At the present time, milk profiling is used as a benchmark to assess the properties of milk. Modern biomolecular mass spectrometers have become invaluable to fully characterize the milk composition. This review reports the analysis of milk and its components using liquid chromatography coupled with mass spectrometry (LC–MS). LC–MS analysis as a whole will be discussed subdivided into the major constituents of milk, namely, lipids, proteins, sugars and the mineral fraction.
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Xuan R, Wang J, Zhao X, Li Q, Wang Y, Du S, Duan Q, Guo Y, Ji Z, Chao T. Transcriptome Analysis of Goat Mammary Gland Tissue Reveals the Adaptive Strategies and Molecular Mechanisms of Lactation and Involution. Int J Mol Sci 2022; 23:ijms232214424. [PMID: 36430911 PMCID: PMC9693614 DOI: 10.3390/ijms232214424] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/12/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
To understand how genes precisely regulate lactation physiological activity and the molecular genetic mechanisms underlying mammary gland involution, this study investigated the transcriptome characteristics of goat mammary gland tissues at the late gestation (LG), early lactation (EL), peak lactation (PL), late lactation (LL), dry period (DP), and involution (IN) stages. A total of 13,083 differentially expressed transcripts were identified by mutual comparison of mammary gland tissues at six developmental stages. Genes related to cell growth, apoptosis, immunity, nutrient transport, synthesis, and metabolism make adaptive transcriptional changes to meet the needs of mammary lactation. Notably, platelet derived growth factor receptor beta (PDGFRB) was screened as a hub gene of the mammary gland developmental network, which is highly expressed during the DP and IN. Overexpression of PDGFRB in vitro could slow down the G1/S phase arrest of goat mammary epithelial cell cycle and promote cell proliferation by regulating the PI3K/Akt signaling pathway. In addition, PDGFRB overexpression can also affect the expression of genes related to apoptosis, matrix metalloproteinase family, and vascular development, which is beneficial to the remodeling of mammary gland tissue during involution. These findings provide new insights into the molecular mechanisms involved in lactation and mammary gland involution.
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Wang B, Sun H, Wang D, Liu H, Liu J. Constraints on the utilization of cereal straw in lactating dairy cows: A review from the perspective of systems biology. ANIMAL NUTRITION 2022; 9:240-248. [PMID: 35600542 PMCID: PMC9097690 DOI: 10.1016/j.aninu.2022.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 12/17/2021] [Accepted: 01/24/2022] [Indexed: 10/24/2022]
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Advancement of omics techniques for chemical profile analysis and authentication of milk. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Taylor EN, Han J, Fan C, Beckmann M, Hewinson G, Rooke D, Koets AP, Mur LAJ. Defining Fatty Acid Changes Linked to Rumen Development, Weaning and Growth in Holstein-Friesian Heifers. Metabolites 2022; 12:metabo12050374. [PMID: 35629878 PMCID: PMC9143779 DOI: 10.3390/metabo12050374] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/13/2022] [Accepted: 04/18/2022] [Indexed: 02/04/2023] Open
Abstract
After birth, as effectively monogastric animals, calves undergo substantial physiological changes to become ruminants by 3 months of age and reach sexual maturity at approximately 15 months of age. Herein, we assess longitudinal metabolomic changes in Holstein-Friesian (HF) heifers from birth until sexual maturity during this developmental process. Sera from 20 healthy, HF heifers were sampled biweekly from 2 weeks of age until 13 months of age and then monthly until 19 months of age. Sera were assessed using flow infusion electrospray high-resolution mass spectrometry (FIE-HRMS) on a Q Exactive hybrid quadrupole-Orbitrap mass spectrometer for high-throughput, sensitive, non-targeted metabolite fingerprinting. Partial least squares discriminant analysis (PLS-DA) and unsupervised hierarchical clustering analysis (HCA) of the derived metabolomes indicated changes detectable in heifers’ sera over time. Time series analyses identified 30 metabolites that could be related to rumen development and weaning at ~3 months of age. Further time series analysis identified 40 metabolites that could be correlated with growth. These findings highlight the role of acetic acid and 3-phenylpropionate (3-PP) in rumen development and growth, suggest that weaning induces elevated levels of fatty acyls in response to a post-weaning stress-induced innate immune response and demonstrate the utilization of fatty acyls in growth. The identified metabolites offer serum metabolites which could inform the nutrition and healthy development of heifers.
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Affiliation(s)
- Emma N. Taylor
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK; (E.N.T.); (M.B.); (G.H.)
| | - Jiwan Han
- College of Software, Shanxi Agricultural University, Taigu District, Jinzhong 030810, China; (J.H.); (C.F.)
| | - Congying Fan
- College of Software, Shanxi Agricultural University, Taigu District, Jinzhong 030810, China; (J.H.); (C.F.)
| | - Manfred Beckmann
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK; (E.N.T.); (M.B.); (G.H.)
| | - Glyn Hewinson
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK; (E.N.T.); (M.B.); (G.H.)
- Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth SY23 3DA, UK
| | | | - Ad P. Koets
- Wageningen Bioveterinary Research, 8221 RA Lelystad, The Netherlands
- Population Health Systems, Faculty of Veterinary Medicine, Utrecht University, 3584 CS Utrecht, The Netherlands
- Correspondence: (A.P.K.); (L.A.J.M.)
| | - Luis A. J. Mur
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth SY23 3DA, UK; (E.N.T.); (M.B.); (G.H.)
- College of Software, Shanxi Agricultural University, Taigu District, Jinzhong 030810, China; (J.H.); (C.F.)
- Correspondence: (A.P.K.); (L.A.J.M.)
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Abdelrahman M, Wang W, Shaukat A, Kulyar MFEA, Lv H, Abulaiti A, Yao Z, Ahmad MJ, Liang A, Yang L. Nutritional Modulation, Gut, and Omics Crosstalk in Ruminants. Animals (Basel) 2022; 12:ani12080997. [PMID: 35454245 PMCID: PMC9029867 DOI: 10.3390/ani12080997] [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: 01/10/2022] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Over the last decade, animal nutrition science has been significantly developed, supported by the great advancements in molecular technologies. For scientists, the present "feedomics and nutrigenomics" era continues to evolve and shape how research is designed, performed, and understood. The new omics interpretations have established a new point of view for the nutrition–gene interaction, integrating more comprehensive findings from animal physiology, molecular genetics, and biochemistry. In the ruminant model, this modern approach addresses rumen microbes as a critical intermediate that can deepen the studies of diet–gut interaction with host genomics. The present review discusses nutrigenomics’ and feedomics’ potential contribution to diminishing the knowledge gap about the DNA cellular activities of different nutrients. It also presents how nutritional management can influence the epigenetic pathway, considering the production type, life stage, and species for more sustainable ruminant nutrition strategies. Abstract Ruminant nutrition has significantly revolutionized a new and prodigious molecular approach in livestock sciences over the last decade. Wide-spectrum advances in DNA and RNA technologies and analysis have produced a wealth of data that have shifted the research threshold scheme to a more affluent level. Recently, the published literature has pointed out the nutrient roles in different cellular genomic alterations among different ruminant species, besides the interactions with other factors, such as age, type, and breed. Additionally, it has addressed rumen microbes within the gut health and productivity context, which has made interpreting homogenous evidence more complicated. As a more systematic approach, nutrigenomics can identify how genomics interacts with nutrition and other variables linked to animal performance. Such findings should contribute to crystallizing powerful interpretations correlating feeding management with ruminant production and health through genomics. This review will present a road-mapping discussion of promising trends in ruminant nutrigenomics as a reference for phenotype expression through multi-level omics changes.
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Affiliation(s)
- Mohamed Abdelrahman
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- Animal Production Department, Faculty of Agriculture, Assuit University, Asyut 71515, Egypt
| | - Wei Wang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Aftab Shaukat
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | | | - Haimiao Lv
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Adili Abulaiti
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Zhiqiu Yao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Muhammad Jamil Ahmad
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
| | - Aixin Liang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Liguo Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan 430070, China; (M.A.); (W.W.); (A.S.); (H.L.); (A.A.); (Z.Y.); (M.J.A.); (A.L.)
- National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
- Correspondence: ; Tel.: +86-138-7105-6592
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Hyuk Suh J. Critical review: metabolomics in dairy science - evaluation of milk and milk product quality. Food Res Int 2022; 154:110984. [DOI: 10.1016/j.foodres.2022.110984] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/20/2021] [Accepted: 12/27/2021] [Indexed: 12/13/2022]
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Schären M, Snedec T, Riefke B, Slopianka M, Keck M, Gruendemann S, Wichard J, Brunner N, Klein S, Theinert KB, Pietsch F, Leonhardt A, Theile S, Rachidi F, Kaiser A, Köller G, Bannert E, Spilke J, Starke A. Aspects of transition cow metabolomics-Part I: Effects of a metaphylactic butaphosphan and cyanocobalamin treatment on the metabolome in liver, blood, and urine in cows with different liver metabotypes. J Dairy Sci 2021; 104:9205-9226. [PMID: 34024600 DOI: 10.3168/jds.2020-19055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 03/16/2021] [Indexed: 12/17/2022]
Abstract
Dairy cows in modern production systems are at risk to develop metabolic disorders during the transition period. Reasons for individual differences in susceptibility, as well as the underlying pathomechanisms, are still only partially understood. The development of metaphylactic treatment protocols is needed. In this context, an on-farm prospective 3-fold blinded randomized study involving 80 German Holstein cows was performed throughout 1 yr. The trial involved a thorough recording of the production and clinical traits, clinical chemistry, and liver biopsies and blood and urine sampling at d 14 (mean: 12 d, range: 1-26 d) antepartum (AP), and d 7 (7, 4-13) and 28 (28, 23-34) postpartum (PP) for metabolomics analyses. Two groups received a treatment with butaphosphan and cyanocobalamin (BCC) at either the dosage recommended by the manufacturer or the double dosage (5 or 10 mL/100 kg of body weight 10% butaphosphan and 0.005% cyanocobalamin (Catosal, Bayer Animal Health), n = 20 in each group, parity: 4.2 ± 2.0 and 3.4 ± 1.3, respectively (mean ± SD)] and one group a placebo treatment (NaCl 0.9%, n = 40, parity: 4.0 ± 1.9). The animals were treated at 6 time points (7, 6, and 5 d AP, and 1, 2, and 3 d PP) via intravenous injection. Mass spectroscopy-based targeted metabolomics analysis of blood plasma and liver samples were performed using the AbsoluteIDQ p180 kit (Biocrates Life Sciences), whereas the urine samples were analyzed by nuclear magnetic resonance spectroscopy. Statistical analysis was performed using multivariate [partial least squares discriminant analysis (PLS-DA)] and univariate methods (linear mixed model). Multivariate data analysis (PLS-DA plots) of the liver metabolome revealed 3 different metabotypes (A = medium, B = minor, C = large alterations in liver metabolome profile between AP and PP status). Metabotype B animals were characterized by higher PP lipomobilization (stronger PP body condition decrease and higher blood bilirubin, fatty acids, gamma-glutamyltransferase, and triglyceride levels) and a higher occurrence of transition cow diseases, compared with the animals in metabotype C. Analysis of the feeding data showed that the period of metabotype B animals (calving in a distinct time frame) was characterized by a decreased grass silage quality. The PP liver metabolome of the metabotype C animals was characterized by higher concentrations of AA, acylcarnitines, lysoPC and sphingomyelins compared with metabotype B. For the metaphylactic treatment with BCC a dose-dependent effect was confirmed, differing between the metabotypes. In all matrices and metabotypes at various time points significant treatment effects were observed, with different profiles in clinical chemistry and as well in metabolomics data. The most clear-cut treatment effect was observed in metabotype B in the liver at 7 d PP, characterized by an increase in several acylcarnitines and phosphatidylcholines, indicating a more efficient influx and oxidation of fatty acids in mitochondria and thereby an increase in energy supply and more efficient triglyceride export in the liver. The results from the liver metabolomics analysis support the application of an indication-based metaphylactic treatment with BCC.
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Affiliation(s)
- M Schären
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany.
| | - T Snedec
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - B Riefke
- Bayer AG, Pharmaceuticals, Research and Development, 13342 Berlin, Germany
| | - M Slopianka
- Bayer AG, Pharmaceuticals, Research and Development, 13342 Berlin, Germany
| | - M Keck
- Bayer AG, Pharmaceuticals, Research and Development, 13342 Berlin, Germany
| | - S Gruendemann
- Bayer AG, Pharmaceuticals, Research and Development, 13342 Berlin, Germany
| | - J Wichard
- Bayer AG, Pharmaceuticals, Research and Development, 13342 Berlin, Germany
| | - N Brunner
- Bayer Animal Health GmbH, 51373 Leverkusen, Germany
| | - S Klein
- Bayer Animal Health GmbH, 51373 Leverkusen, Germany
| | - K B Theinert
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - F Pietsch
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - A Leonhardt
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - S Theile
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - F Rachidi
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - A Kaiser
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - G Köller
- Laboratory of Large Animal Clinics, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - E Bannert
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
| | - J Spilke
- Biometrics and Informatics in Agriculture Group, Institute of Agricultural and Nutritional Sciences, Martin-Luther University, Halle-Wittenberg, Karl-Freiherr-von-Fritsch-Str. 4, 06108 Halle (Saale), Germany
| | - A Starke
- Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, University of Leipzig, An den Tierkliniken 11, 04103 Leipzig, Germany
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13
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Zhu D, Kebede B, McComb K, Hayman A, Chen G, Frew R. Milk biomarkers in relation to inherent and external factors based on metabolomics. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2020.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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14
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LC-MS/MS Based Metabolomics Reveal Candidate Biomarkers and Metabolic Changes in Different Buffalo Species. Animals (Basel) 2021; 11:ani11020560. [PMID: 33672725 PMCID: PMC7924386 DOI: 10.3390/ani11020560] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/13/2021] [Accepted: 02/15/2021] [Indexed: 12/15/2022] Open
Abstract
Consumers have shown more and more interest in high-quality and healthy dairy products and buffalo milk is commercially more viable than other milks in producing superior dairy products due to its higher contents of fat, crude protein, and total solids. Metabolomics is one of the most powerful strategies in molecular mechanism research however, little study has been focused on the milk metabolites in different buffalo species. Therefore, the aim of this study was to explore the underlying molecular mechanism of the fatty synthesis and candidate biomarkers by analyzing the metabolomic profiles. Milk of three groups of buffaloes, including 10 Mediterranean, 12 Murrah, and 10 crossbred buffaloes (Murrah × local swamp buffalo), were collected and UPLC-Q-Orbitrap HRMS was used to obtain the metabolomic profiles. Results showed that milk fatty acid in Mediterranean buffalo was significantly higher than Murrah buffalo and crossbred buffalo. A total of 1837/726 metabolites was identified in both positive and negative electrospray ionization (ESI±) mode, including 19 significantly different metabolites between Mediterranean and Murrah buffalo, and 18 different metabolites between Mediterranean and crossbred buffalo. We found 11 of the different metabolites were both significantly different between Mediterranean vs. Murrah group and Mediterranean vs crossbred group, indicating that they can be used as candidate biomarkers of Mediterranean buffalo milk. Further analysis found that the different metabolites were mainly enriched in fat synthesis related pathways such as fatty acid biosynthesis, unsaturated fatty acid biosynthesis, and linoleic acid metabolism, indicating that the priority of different pathways affected the milk fat content in different buffalo species. These specific metabolites may be used as biomarkers in the identification of milk quality and molecular breeding of high milk fat buffalo.
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15
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Wang Y, Cai M, Hua D, Zhang F, Jiang L, Zhao Y, Wang H, Nan X, Xiong B. Metabolomics reveals effects of rumen-protected glucose on metabolism of dairy cows in early lactation. Anim Feed Sci Technol 2020. [DOI: 10.1016/j.anifeedsci.2020.114620] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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16
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Luangwilai M, Duangmal K, Chantaprasarn N, Settachaimongkon S. Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using
1
H‐NMR combined with chemometric analysis. Int J Food Sci Technol 2020. [DOI: 10.1111/ijfs.14665] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Mayuree Luangwilai
- Department of Food Technology Faculty of Science Chulalongkorn University Bangkok10330Thailand
| | - Kiattisak Duangmal
- Department of Food Technology Faculty of Science Chulalongkorn University Bangkok10330Thailand
- Emerging Processes for Food Functionality Design Research Unit Chulalongkorn University Bangkok10330Thailand
| | - Nawanon Chantaprasarn
- Dairy Research and Development Department Dairy Farming Promotion Organization of Thailand (DPO) Muak Lek Saraburi18180Thailand
| | - Sarn Settachaimongkon
- Department of Food Technology Faculty of Science Chulalongkorn University Bangkok10330Thailand
- Emerging Processes for Food Functionality Design Research Unit Chulalongkorn University Bangkok10330Thailand
- Omics Sciences and Bioinformatics Center Faculty of Science Chulalongkorn University Bangkok10330Thailand
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17
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D’Occhio MJ, Baruselli PS, Campanile G. Metabolic health, the metabolome and reproduction in female cattle: a review. ITALIAN JOURNAL OF ANIMAL SCIENCE 2019. [DOI: 10.1080/1828051x.2019.1600385] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Michael J. D’Occhio
- School of Life and Environmental Sciences, The University of Sydney, Camden, Australia
| | - Pietro S. Baruselli
- Departamento de Reproducao Animal (VRA), University of Sao Paulo, Sao Paulo, Brazil
| | - Giuseppe Campanile
- Dipartimento di Medicina Veterinaria e Produzioni Animali, University of Naples Federico II, Napoli, Italy
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18
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Lippolis J, Powell E, Reinhardt T, Thacker T, Casas E. Symposium review: Omics in dairy and animal science—Promise, potential, and pitfalls. J Dairy Sci 2019; 102:4741-4754. [DOI: 10.3168/jds.2018-15267] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 08/06/2018] [Indexed: 01/08/2023]
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19
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Luo ZZ, Shen LH, Jiang J, Huang YX, Bai LP, Yu SM, Yao XP, Ren ZH, Yang YX, Cao SZ. Plasma metabolite changes in dairy cows during parturition identified using untargeted metabolomics. J Dairy Sci 2019; 102:4639-4650. [PMID: 30827559 DOI: 10.3168/jds.2018-15601] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Accepted: 01/10/2019] [Indexed: 12/11/2022]
Abstract
The metabolic responses of cows undergo substantial changes during the transition from late pregnancy to early lactation. However, the molecular mechanisms associated with these changes in physiological metabolism have not been clearly elucidated. The objective of this study was to investigate metabolic changes in transition cows from the perspective of plasma metabolites. Plasma samples collected from 24 multiparous dairy cows on approximately d 21 prepartum and immediately postpartum were analyzed using ultra-high-performance liquid chromatography/time-of-flight mass spectrometry in positive and negative ion modes. In conjunction with multidimensional statistical methods (principal component analysis and orthogonal partial least squares discriminant analysis), differences in plasma metabolites were identified using the t-test and fold change analysis. Sixty-seven differential metabolites were identified consisting of AA, lipids, saccharides, and nucleotides. The levels of 32 plasma metabolites were significantly higher and those of 35 metabolites significantly lower after parturition than on d 21 prepartum. Pathway analysis indicated that the metabolites that increased from late pregnancy to early lactation were primarily involved in lipid metabolism and energy metabolism, whereas decreased metabolites were related to AA metabolism.
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Affiliation(s)
- Z Z Luo
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - L H Shen
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - J Jiang
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Y X Huang
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - L P Bai
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - S M Yu
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - X P Yao
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Z H Ren
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Y X Yang
- Institute of Animal Science and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - S Z Cao
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
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20
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Greenwood SL, Honan MC. Symposium review: Characterization of the bovine milk protein profile using proteomic techniques. J Dairy Sci 2019; 102:2796-2806. [PMID: 30612793 DOI: 10.3168/jds.2018-15266] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 10/26/2018] [Indexed: 12/27/2022]
Abstract
Identification and characterization of the comprehensive bovine milk proteome has historically been limited due to the dichotomy of protein abundances within milk. The high abundance of a select few proteins, including caseins, α-lactalbumin, β-lactoglobulin, and serum albumin, has hindered intensive identification and characterization of the vast array of low-abundance proteins in milk due to limitations in separation techniques and protein labeling capacity. In more recent years, the development and advancement of proteomics techniques have yielded valuable tools for characterization of the protein profile in bovine milk. More extensive fractionation and enrichment techniques, including the use of combinations of precipitation techniques, immunosorption, gel electrophoresis, chromatography, ultracentrifugation, and hexapeptide-based binding enrichment, have allowed for better isolation of lower abundance proteins for further downstream liquid chromatography-tandem mass spectrometry approaches. The different milk subfractions isolated during these processes can also be analyzed as individual entities to assess the protein profile unique to the different fractions-for instance, investigation of the skim milk-associated proteome versus the milk fat globule membrane-associated proteome. Updates to high-throughput methods, equipment, and software have also allowed for greater interpretation and visualization of the data. For instance, labeling techniques have enabled analysis of multiplexed samples and more accurate comparison of specific protein abundances and quantities across samples, and integration of gene ontology analysis has allowed for a more in-depth and visual representation of potential relationships between identified proteins. Inclusively, these developments in proteomic techniques have allowed for a rapid increase in the number of milk-associated proteins identified and a better grasp of the relationships and potential functionality of the proteins within the milk proteome.
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Affiliation(s)
- Sabrina L Greenwood
- Department of Animal and Veterinary Sciences, The University of Vermont, Burlington 05405.
| | - Mallory C Honan
- Department of Animal and Veterinary Sciences, The University of Vermont, Burlington 05405
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21
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Alhussien MN, Dang AK. Milk somatic cells, factors influencing their release, future prospects, and practical utility in dairy animals: An overview. Vet World 2018; 11:562-577. [PMID: 29915493 PMCID: PMC5993762 DOI: 10.14202/vetworld.2018.562-577] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 04/06/2018] [Indexed: 11/16/2022] Open
Abstract
Milk somatic cells (SCs) are a mixture of milk-producing cells and immune cells. These cells are secreted in milk during the normal course of milking and are used as an index for estimating mammary health and milk quality of dairy animals worldwide. Milk SC is influenced by cow productivity, health, parity, lactation stage, and breed of an animal. Any change in environmental conditions, poor management practices, and also stressful conditions significantly increases the amount of SC coming in milk. Better hygiene and proper nutrition help in reducing milk SC. Milk with low SC means better milk products with a longer shelf life. The present review describes the role of SCs (both secretory and immune) in milk, their role in maintaining the integrity of the mammary gland, and factors affecting their release in milk. This information may help to reduce milk somatic cell counts (SCCs) and to establish differential SCC standards.
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Affiliation(s)
- Mohanned Naif Alhussien
- Lactation and Immuno-Physiology Laboratory; ICAR-National Dairy Research Institute, Karnal, Haryana - 132 001, India
| | - Ajay Kumar Dang
- Lactation and Immuno-Physiology Laboratory; ICAR-National Dairy Research Institute, Karnal, Haryana - 132 001, India
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22
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Tomassini A, Curone G, Solè M, Capuani G, Sciubba F, Conta G, Miccheli A, Vigo D. NMR-based metabolomics to evaluate the milk composition from Friesian and autochthonous cows of Northern Italy at different lactation times. Nat Prod Res 2018; 33:1085-1091. [PMID: 29658316 DOI: 10.1080/14786419.2018.1462183] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
It is well established that different factors affect milk composition in cows and that milk composition, in turn, affect both technological and nutritional qualities. In this respect the comprehension of the metabolic variability of milk composition in relation to the lactation time as well as to the genetic background may be of paramount importance for the agri-food industries. In the present study we investigated the variations of the metabolic profiles during lactation in milks obtained from Friesian and autochthonous races from Northern Italy by 1H NMR metabolomics. Furthermore, the external factors influencing the milk composition were minimized: the cows were breeded in the same farm, were fed with the same diet and were paired for the lactation interval and lactation stage. Our results showed a difference in milk composition between races and in relation to late lactation. The PLS-DA analysis permitted to distinguish the Friesian and autochthonous cow milks at the investigated different lactation times. Interestingly, the metabolites significantly involved into the discrimination between races appeared to be also technological property parameters, highlighting the importance of maintaining the biodiversity of cow breeds. Therefore, NMR-based metabolomics of milk could represent an informative tool to identify metabolites involved in milk quality both from a nutritional and industrial perspective.
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Affiliation(s)
- A Tomassini
- a Department of Chemistry , University of Rome "La Sapienza" , Rome , Italy
| | - G Curone
- b Department of Veterinary Medicine , Università degli Studi di Milano , Milano , Italy
| | - M Solè
- b Department of Veterinary Medicine , Università degli Studi di Milano , Milano , Italy
| | - G Capuani
- a Department of Chemistry , University of Rome "La Sapienza" , Rome , Italy
| | - F Sciubba
- a Department of Chemistry , University of Rome "La Sapienza" , Rome , Italy
| | - G Conta
- a Department of Chemistry , University of Rome "La Sapienza" , Rome , Italy
| | - A Miccheli
- a Department of Chemistry , University of Rome "La Sapienza" , Rome , Italy
| | - D Vigo
- b Department of Veterinary Medicine , Università degli Studi di Milano , Milano , Italy
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