Molecular Nutrition

Differentially Expression of Whey Protein in Different Mammary Glands of Dairy Cows

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  • 1. Key Laboratory of Dairy Nutrition in Beijing, College of Animal Science and Technology, Beijing University of Agriculture, Beijing 102206, China;
    2. Beijing Institute of Animal Science and Veterinary Medicine, Chinese Academy of Agricultural Sciences, Beijing 100193, China

Received date: 2018-07-12

  Online published: 2019-02-18

Abstract

The objective of this study was to explore the effects of dairy breast health conditions on milk proteins and the molecular mechanisms of inflammation induced by pathogenic microorganisms by investigating the differential expression of whey proteins in dairy cows under different breast health status, which provided a potential biomarker to diagnose the early inflammation of udder. A total of 102 healthy Holstein dairy cows[2 to 3 parity, lactation days (152±27) d, milk yield (27±3) kg/d] were selected for milk sample collection. Milk samples were divided into 6 groups according to somatic cell count (SCC) and bacteriological identification results, they were bacterial culture-positive groups (contagious, environmental and opportunistic) and bacterial culture-negative groups[culture-negative-low SCC group (SCC<100 000 cells/mL), culture-negative-medium SCC group (SCC 100 000 to 400 000 cells/mL) and culture-negative-high SCC group (SCC>400 000 cells/mL)]. The sodium dodecyl sulfate polyacrylamide gel electropheresis (SDS-PAGE) and non-labeled quantitative proteomics were used to identify protein function and expression levels in 6 whey samples. The results showed as follows:1) the difference between healthy breast and inflammatory mammary glands in dairy cows was mainly caused by the protein expression level. 2) A total of 272 proteins were identified, of which 58 proteins showed significant regulatory changes. Compared with bacterial culture-negative whey samples, 20 proteins were significantly up-regulated expressed in bacterial culture-positive whey samples, and the expressions of cathelicidin-4 (CATHL4), cathelicidin-3(CATHL3), cathelicidin-2(CATHL2), inter-alpha-trypsin inhibitor heavy chain H4, (ITIH4), serpin A3-1 (SERPINA3-1), prostaglandin-H2 D-isomerase (PTGDS), serum amyloid A protein (SAA3) and immunoglobulin kappa variable 3-20 (IGKV3-20) in bacterial culture-positive whey samples were more than about 8 times than those in bacterial culture-positive whey samples, and most of the functions of the up-regulated proteins were related to specific immune responses. The 38 proteins significantly down-regulated expressed(P<0.05 or P<0.01), the platelet glycoprotein 4 (CD36), CD59 molecule (CD59), kappa-casein (CSN3), butyrophilin subfamily 1 member A1 (BTN1A1), ATP-binding cassette sub-family G member 2 (ABCG2), perilipin-2 (PLIN2), glycoprotein 2 (GP2), polyubiquitin-C (UBC) and isocitrate dehydrogenase 1 (IDH1) were significantly down-regulated(P<0.01), BTN1A1 was related to the lipid synthesis and secretion, PLIN2 and GP2 were related to the transport, ABCG2 had enzyme activity, CD59 was related to the immune system. 3) A total of 21 bacterial proteins were identified in the bacterial culture-positive whey samples, the existence of these bacterial proteins not only verified the results of bacterial culture identification, but also elucidated the molecules that induced inflammation by the pathogenic microorganisms from the perspective of the bacterial protein properties and functions. In summary, the differentially expression of milk proteins under different breast health conditions can reveals the biological phenomena in the mammary gland under different breast health conditions from the perspective of milk protein expression changes and function, in addition, it expects to provide some potential biomarkers for diagnosing the breast health, especially the early breast inflammation.

Cite this article

WANG Yue, XIONG Benhai, JIANG Linshu . Differentially Expression of Whey Protein in Different Mammary Glands of Dairy Cows[J]. Chinese Journal of Animal Nutrition, 2019 , 31(2) : 775 -791 . DOI: 10.3969/j.issn.1006-267x.2019.02.034

References

[1] FORSBÄCK L,LINDMARK-MÅNSSON H,ANDRÉN A,et al.Evaluation of quality changes in udder quarter milk from cows with low-to-moderate somatic cell counts[J].Animal,2010,4(4):617-626.  

[2] BATAVANI R A,ASRI S,NAEBZADEH H.The effect of subclinical mastitis on milk composition in dairy cows[J].Iranian Journal of Veterinary Research,2007,8(3):205-211.

[3] YANG Y X,ZHAO X X,ZHANG Y.Proteomic analysis of mammary tissues from healthy cows and clinical mastitic cows for identification of disease-related proteins[J].Veterinary Research Communications,2009,33(4):295-303.  

[4] BOGGS I,HINE B,SMOLENSKI G,et al.Changes in the repertoire of bovine milk proteins during mammary involution[J].EuPA Open Proteomics,2015,9:65-75.

[5] MINUTI A,ZHOU Z,GRAUGNARD D E,et al.Acute mammary and liver transcriptome responses after an intramammary Escherichia coli lipopolysaccharide challenge in postpartal dairy cows[J].Physiological Reports,2015,3(4):e12388.

[6] ECKERSALL P D,YOUNG F J,NOLAN A M,et al.Acute phase proteins in bovine milk in an experimental model of Staphylococcus aureus,subclinical mastitis[J].Journal of Dairy Science,2006,89(5):1488-1501.  

[7] BOEHMER J L,BANNERMAN D D,SHEFCHECK K,et al.Proteomic analysis of differentially expressed proteins in bovine milk during experimentally induced Escherichia coli mastitis[J].Journal of Dairy Science,2008,91(11):4206-4218.  

[8] SHOME B R,DAS MITRA S,BHUVANA M,et al.Multiplex PCR assay for species identification of bovine mastitis pathogens[J].Journal of Applied Microbiology,2011,111(6):1349-1356.  

[9] 田梅,沈静.实时荧光定量PCR法与常规细菌鉴定法检测肠道致病菌的比较[J].中国微生态学杂志,2015,27(10):1221-1223,1237.

[10] TURK R,PIRAS C,KOVA?I? M,et al.Proteomics of inflammatory and oxidative stress response in cows with subclinical and clinical mastitis[J].Journal of Proteomics,2012,75(14):4412-4428.  

[11] VOHR H W.Encyclopedic reference of immunotoxicology[M].Heidelberg:Springer,2005

[12] JIAO F,ZHANG D,JIANG M,et al.Label-free proteomic analysis of placental proteins during Toxoplasma gondii infection[J].Journal of Proteomics,2017,150:31-39.

[13] COX J,HEIN M Y,LUBER C A,et al.Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction,termed MaxLFQ[J].Molecular & Cellular Proteomics,2014,13(9):2513-2526.  

[14] JIAN F W, XING X Z, YONG Z,et al.Proteomic analysis of nuclei of mammary tissue from healthy cows and clinical mastitic cows[J].Journal of Animal and Veterinary Sciences,2010. DOI:10.1088/1674-4527/10/12/011.

[15] SAFI S,KHOSHVAGHTI A,JAFARZADEH S R,et al.Acute phase proteins in the diagnosis of bovine subclinical mastitis[J].Veterinary Clinical Pathology,2009,38(4):471-476.  

[16] TYPAS A,SOURJIK V.Bacterial protein networks:properties and functions[J].Nature Reviews Microbiology,2015,13(9):559-572.  

[17] 姚远,李攀,韩冰,等.大肠杆菌TorR蛋白对基因entAsufAspeAyhiD的表达调控作用[J].基因组学与应用生物学,2017,36(2):661-669.

[18] 朱杰.致病基因和细菌蛋白质亚细胞分布的预测方法研究[D].博士学位论文.上海:上海师范大学,2016.

[19] 李雷,卫科科,姜卫红,等.细菌双组分系统应答调控蛋白调控策略的多样性[J].中国科学(生命科学),2017,47(5):462-469.

[20] BATTESTI A,BOUVERET E.The bacterial two-hybrid system based on adenylate cyclase reconstitution in Escherichia coli[J].Methods,2012,58(4):325-334.  

[21] CAUFIELD J H,WIMBLE C,SHARY S,et al.Bacterial protein meta-interactomes predict cross-species interactions and protein function[J].BMC Bioinformatics,2017,18:171.

[22] DILUCCA M,CIMINI G,GIANSANTI A.Topological transition in bacterial protein-protein interaction networks ruled by gene conservation,essentiality and function[J/OL].[2018-07-01].http://arxiv.org/pdf/1708.02299

[23] GÓMEZ M I,LEE A,REDDY B,et al.Staphylococcus aureus protein A induces airway epithelial inflammatory responses by activating TNFR1[J].Nature Medicine,2004,10(8):842-848.  

[24] KOVÁCS K,HURST L D,PAPP B.Stochasticity in protein levels drives colinearity of gene order in metabolic operons of Escherichia coli[J].PLoS Biology,2009,7(5):e1000115.

[25] LU J,FERNANDES E A,CANO A E P,et al.Changes in milk proteome and metabolome associated with dry period length,energy balance,and lactation stage in postparturient dairy cows[J].Journal of Proteome Research,2013,12(7):3288-3296.  

[26] CHIARADIA E,VALIANI A,TARTAGLIA M,et al.Ovine subclinical mastitis:proteomic analysis of whey and milk fat globules unveils putative diagnostic biomarkers in milk[J].Journal of Proteomics,2013,83:144-159.

[27] SCHRICK F N,HOCKETT M E,SAXTON A M,et al.Influence of subclinical mastitis during early lactation on reproductive parameters[J].Journal of Dairy Science,2001,84(6):1407-1412.  

[28] BOBBO T,RUEGG P L,STOCCO G,et al.Associations between pathogen-specific cases of subclinical mastitis and milk yield,quality,protein composition,and cheese-making traits in dairy cows[J].Journal of Dairy Science,2017,100(6):4868-4883.  

[29] BAEKER R,HAEBEL S,SCHLATTERER K,et al.Lipocalin-type prostaglandin D synthase in milk:a new biomarker for bovine mastitis[J].Prostaglandins & Other Lipid Mediators,2002,67(1):75-88.  

[30] PETERSEN H H,NIELSEN J P,HEEGAARD P M H.Application of acute phase protein measurements in veterinary clinical chemistry[J].Veterinary Research,2004,35(2):163-187.  

[31] PICCININI R,BINDA E,BELOTTI M,et al.The evaluation of non-specific immune status of heifers in field conditions during the periparturient period[J].Veterinary Research,2004,35(5):539-550.  

[32] JÄRVINEN K M,CHATCHATEE P,BARDINA L,et al.IgE and IgG binding epitopes on α-lactalbumin and β-lactoglobulin in cow's milk allergy[J].International Archives of Allergy and Immunology,2001,126(2):111-118.  

[33] KAWAI T,AKIRA S.Toll-like receptors and their crosstalk with other innate receptors in infection and immunity[J].Immunity,2011,34(5):637-650.  

[34] BRUMINI D,CRISCIONE A,BORDONARO S,et al.Whey proteins and their antimicrobial properties in donkey milk:a brief review[J].Dairy Science & Technology,2016,96(1):1-14.  

[35] WELLNITZ O,BRUCKMAIER R M.The innate immune response of the bovine mammary gland to bacterial infection[J].The Veterinary Journal,2012,192(2):148-152.  

[36] BARBOSA B F,SILVA D A O,COSTA I N,et al.Bewo trophoblast cell susceptibility to Toxoplasma gondii is increased by interferon-γ,interleukin-10 and transforming growth factor-β[J].Clinical & Experimental Immunology,2008,151(3):536-545.  

[37] YONG X Y,YONG Z,LEI Z,et al.Comparative proteomic analysis of membrane proteins of mammary gland between clinical healthy and mastitic cows[J]. Scientia Agricultura Sinica,2010.DOI:10.1097/MOP.0B013E3283423F35.

[38] KULAK N A,PICHLER G,PARON I,et al.Minimal,encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells[J].Nature Methods,2014,11(3):319-324.  
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