Scientia Agricultura Sinica ›› 2019, Vol. 52 ›› Issue (2): 350-358.doi: 10.3864/j.issn.0578-1752.2019.02.013
• ANIMAL SCIENCE·VETERINARY SCIENCE·RESOURCE INSECT • Previous Articles Next Articles
LI GuangDong1,LÜ DongYing1,TIAN XiuZhi2,JI PengYun1,GUO JiangPeng3,LU YongQiang3,LIU GuoShi1()
[1] | THOMPSON-CRISPI K, ATALLA H, MIGLIOR F, MALLARD B A . Bovine mastitis: frontiers in immunogenetics. Frontiers in Immunology, 2014,5:493. |
[2] |
GODDEN S M, ROYSTER E, KNAUER W, SORG J, LOPEZ- BENAVIDES M, SCHUKKEN Y, LEIBOWITZ S, FRENCH E A . Randomized noninferiority study evaluating the efficacy of a postmilking teat disinfectant for the prevention of naturally occurring intramammary infections. Journal of Dairy Science, 2016,99(5):3675-3687.
doi: 10.3168/jds.2015-10379 |
[3] |
DAHL M O, MAUNSELL F P, DE VRIES A, GALVAO K N, RISCO C A, HERNANDEZ J A . Evidence that mastitis can cause pregnancy loss in dairy cows: A systematic review of observational studies. Journal of Dairy Science, 2017,100(10):8322-8329.
doi: 10.3168/jds.2017-12711 |
[4] |
FRANCOZ D, WELLEMANS V, DUPRÉ J P, ROY J P, LABELLE F, LACASSE P, DUFOUR S . Invited review: A systematic review and qualitative analysis of treatments other than conventional antimicrobials for clinical mastitis in dairy cows. Journal of Dairy Science, 2017,100(10):7751-7770.
doi: 10.3168/jds.2016-12512 |
[5] |
PILLA R, MALVISI M, SNEL G G, SCHWARZ D, KÖNIG S, CZERNY C P, PICCININI R . Differential cell count as an alternative method to diagnose dairy cow mastitis. Journal of Dairy Science, 2013,96(3):1653-1660.
doi: 10.3168/jds.2012-6298 |
[6] |
HERTL J A, SCHUKKEN Y H, WELCOME F L, TAUER L W, GRÖHN Y T . Pathogen-specific effects on milk yield in repeated clinical mastitis episodes in Holstein dairy cows. Journal of Dairy Science, 2014,97(3):1465-1480.
doi: 10.3168/jds.2013-7266 |
[7] |
REYES J, CHAFFER M, SANCHEZ J, TORRES G, MACIAS D, JARAMILLO M, DUQUE P C, CEBALLOS A, KEEFE G P . Targeting human pathogenic bacteria by siderophores A proteomics review. Journal of Dairy Science, 2015,98(8):5294-5303.
doi: 10.3168/jds.2014-9199 |
[8] |
ROWBOTHAM R F, RUEGG P L . Associations of selected bedding types with incidence rates of subclinical and clinical mastitis in primiparous Holstein dairy cows. Journal of Dairy Science, 2016,99(6):4707-4717.
doi: 10.3168/jds.2015-10675 |
[9] | TAPONEN S, LISKI E, HEIKKILÄ A M, PYÖRÄLÄ S . Factors associated with intramammary infection in dairy cows caused by coagulase-negative staphylococci,Staphylococcus aureus, Streptococcus uberis, Streptococcus dysgalactiae, Corynebacterium bovis, or Escherichia coli. Journal of Dairy Science, 2017,100(1):493-503. |
[10] |
GAO J, BARKEMA H W, ZHANG L, LIU G, DENG Z, CAI L, SHAN R, ZHANG S, ZOU J, KASTELIC J P, HAN B . Incidence of clinical mastitis and distribution of pathogens on large Chinese dairy farms. Journal of Dairy Science, 2017,100(6):4797-4806.
doi: 10.3168/jds.2016-12334 |
[11] | HERRY V, GITTON C, TABOURET G, RÉPÉRANT M, FORGE L, TASCA C, GILBERT F B, GUITTON C, STAUB C, SMITH D G, GERMON P, FOUCRAS G, RAINARD P 。 Local immunization impacts the response of dairy cows to Escherichia coli mastitis. Scientific Reports, 2017,7(1):3441. |
[12] | SANTOS R I, ZUNINO P M, GIL A D, LAPORT A, HIRIGOYEN D J . Antibiotic resistance of Staphylococcus aureus associated with subclinical and clinical mastitis in Uruguay during an eight-year period. Austral Journal of Veterinary Sciences, 2017,49(3):191-194. |
[13] | LEELAHAPONGSATHON K, SCHUKKEN Y H, PINYOPUMMINTR T, SURIYASATHAPORN W . Comparison of transmission dynamics between Streptococcus uberis and Streptococcus agalactiae intramammary infections. Journal of Dairy Science, 2016,99(2):1418-1426. |
[14] |
ORTEA I, O'CONNOR G, MAQUET A . Review on proteomics for food authentication. Journal of Proteomics, 2016,147:212-225.
doi: 10.1016/j.jprot.2016.06.033 |
[15] |
FERREIRA D, SECA A M C G A D, SECA A M . Targeting human pathogenic bacteria by siderophores: A proteomics review. Journal of Proteomics, 2016,145:153-166.
doi: 10.1016/j.jprot.2016.04.006 |
[16] |
TALWAR D, TSENG T S, FOSTER M, XU L, CHEN L S . Genetics/genomics education for nongenetic health professionals: a systematic literature review. Genetics in Medicine, 2017,19(7):725-732.
doi: 10.1038/gim.2016.156 |
[17] |
CHEN R, MIAS G I, LI-POOK-THAN J, JIANG L, LAM H Y, CHEN R, MIRIAMI E, KARCZEWSKI K J, HARIHARAN M, DEWEY F E, CHENG Y, CLARK M J, IM H, HABEGGER L, BALASUBRAMANIAN S, O'HUALLACHAIN J T, HILLENMEYER S, HARAKSINGH R, SHARON D, EUSKIRCHEN G, LACROUTE P, BETTINGER K, BOYLE A P, KASOWSKI M, GRUBERT F, SEKI S, GARCIA M, WHIRL-CARRILLO M, GALLARDO M, BLASCO M A, GREENBERG P L, SNYDER P, KLEIN T E, ALTMAN R B, BUTTE A J, ASHLEY E A, GERSTEIN M, NADEAU K C, TANG H, SNYDER M . Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell, 2012,148(6):1293-1307.
doi: 10.1016/j.cell.2012.02.009 |
[18] |
JOYCE A R, PALSSON B O . The model organism as a system: integrating 'omics' data sets. Nature Reviews Molecular Cell Biology, 2006,7(3):198-210.
doi: 10.1038/nrm1857 |
[19] |
GEHLENBORG N, O'DONOGHUE S I, BALIGA N S, GOESMANN A, HIBBS M A, KITANO H, KOHLBACHER O, NEUWEGER R, TENENBAUM D, GAVIN A C, . Visualization of omics data for systems biology. Nature Methods, 2010,7(3 Suppl):S56-S68.
doi: 10.1038/nmeth.1436 |
[20] |
PATTI G J, YANES O, SIUZDAK G . Innovation: Metabolomics: the apogee of the omics trilogy. Nature Reviews Molecular Cell Biology, 2012,13(4):263-269.
doi: 10.1038/nrm3314 |
[21] |
VAN EMON J M . The Omics Revolution in Agricultural Research. Journal of Agricultural and Food Chemistry, 2016,64(1):36-44.
doi: 10.1021/acs.jafc.5b04515 |
[22] |
GOBERT M, SAYD T, GATELLIER P, SANTÉ-LHOUTELLIER V . Application to proteomics to understand and modify meat quality. Meat Science, 2014,98(3):539-543.
doi: 10.1016/j.meatsci.2014.06.035 |
[23] |
KAMATH P L, FOSTER J T, DREES K P, LUIKART G, QUANCE C, ANDERSON N J, CLARKE P R, COLE E K, DREW M L, EDWARDS W H, RHYAN J C, TREANOR J J, WALLEN R L, WHITE P J, ROBBE-AUSTERMAN S, CROSS P C . Genomics reveals historic and contemporary transmission dynamics of a bacterial disease among wildlife and livestock. Nature Communications, 2016,7:11448.
doi: 10.1038/ncomms11448 |
[24] | 孙雨航, 许楚楚, 李昌盛, 夏成, 徐闯, 吴凌, 张洪友 . 基于1H NMR 技术的乳热奶牛血清代谢组学分析. 中国农业科学, 2015,48(2):362-369. |
SUN Y H, XU C C, LI C S, XIA C, XU C, WU L, ZHANG H Y . 1H NMR-based serum Metabolomics analysis of dairy cows with milk fever. Scientia Agricultura Sinica, 2015,48(2):362-369. (in Chinese) | |
[25] | 李亚娟, 王东升, 张世栋, 严作廷, 杨志强, 杜玉兰, 董书伟, 何宝祥 . 基于GC-MS 技术的蹄叶炎奶牛血浆代谢谱分析. 中国农业科学, 2016,49(21):4255-4264. |
LI Y J, WANG D S, ZHANG S D, YAN Z T, YANG Z Q, DU Y L, DONG S W, HE B X . Plasma metabolic profiling analysis of dairy cows with laminitis based on GC-MS. Scientia Agricultura Sinica, 2016,49(21):4255-4264. (in Chinese) | |
[26] |
GOLDANSAZ S A, GUO A C, SAJED T, STEELE M A, PLASTOW G S, WISHART D S . Livestock metabolomics and the livestock metabolome: A systematic review. PLoS One, 2017,12(5):e0177675.
doi: 10.1371/journal.pone.0177675 |
[27] |
GUILLEMIN N, HORVATIĆ A, KULEŠ J, GALAN A, MRLJAK V, BHIDE M . Omics approaches to probe markers of disease resistance in animal sciences. Molecular BioSystems, 2016,12(7):2036-2046.
doi: 10.1039/C6MB00220J |
[28] |
ADDIS M F, TANCA A, UZZAU S, OIKONOMOU G, BICALHO R C, MORONI P . The bovine milk microbiota: insights and perspectives from-omics studies. Molecular BioSystems, 2016,12(8):2359-2372.
doi: 10.1039/C6MB00217J |
[29] | THOMAS F C, MUDALIAR M, TASSI R, MCNEILLY T N, BURCHMORE R, BURGESS K, HERZYK P, ZADOKS R N, ECKERSALL P D . Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 3. Untargeted metabolomics. Molecular BioSystems, 2016,12(9):2762-2769. |
[30] |
HETTINGA K A DE BOK F A LAM T J . Short communication: Practical issues in implementing volatile metabolite analysis for identifying mastitis pathogens. Journal of Dairy Science, 2015,98(11):7906-7910.
doi: 10.3168/jds.2015-9720 |
[31] |
SUNDEKILDE U K, POULSEN N A, LARSEN L B, BERTRAM H C . Nuclear magnetic resonance metabonomics reveals strong association between milk metabolites and somatic cell count in bovine milk. Journal of Dairy Science, 2013,96(1):290-299.
doi: 10.3168/jds.2012-5819 |
[32] |
DERVISHI E, ZHANG G, DUNN S M, MANDAL R, WISHART D S, AMETAJ B N . GC-MS metabolomics identifies metabolite alterations that precede subclinical mastitis in the blood of transition dairy cows. Journal of Proteome Research, 2017,16(2):433-446.
doi: 10.1021/acs.jproteome.6b00538 |
[33] |
XI X, KWOK L, WANG Y, MA C, MI Z, ZHANG H . Ultra- performance liquid chromatography-quadrupole-time of flight mass spectrometry MS E-based untargeted milk metabolomics in dairy cows with subclinical or clinical mastitis. Journal of Dairy Science, 2017,100(6):4884-4896.
doi: 10.3168/jds.2016-11939 |
[34] | 徐闯, 朱奎玲, 陈媛媛, 杨威, 夏成, 张洪友, 吴凌, 舒适, 沈泰钰, 于洪江, 许秋实, 张子扬 . 应用 SELDI-TOF-MS 技术对患脂肪肝奶牛血浆差异蛋白的分离鉴定及生物信息学特征. 中国农业科学, 2016,49(8):1585-1598. |
XU C, ZHU K L, CHEN Y Y, YANG W, XIA C, ZHANG H Y, WU L, SHU S, SHEN T Y, YU H J, XU Q S, ZHANG Z Y . Isolation identification and bioinformatics of differences protein in plasma of cows suffer from fatty liver with SELDI-TOF-MS techniques. Scientia Agricultura Sinica, 2016,49(8):1585-1598. (in Chinese) | |
[35] | THOMAS F C, MULLEN W, TASSI R, RAMÍREZ-TORRES A, MUDALIAR M, MCNEILLY T N, ZADOKS R N, BURCHMORE R, ECKERSALL P D . Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 1. High abundance proteins, acute phase proteins and peptidomics. Molecular BioSystems, 2016,12(9):2735-2747. |
[36] | MUDALIAR M, TASSI R, THOMAS F C, MCNEILLY T N, WEIDT S K, MCLAUGHLIN M, WILSON D, BURCHMORE R, HERZYK P, ECKERSALL P D, ZADOKS R N . Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics. Molecular BioSystems, 2016,12(9):2748-2761. |
[37] |
MANSOR R, MULLEN W, ALBALAT A, ZEREFOS P, MISCHAK H, BARRETT D C, BIGGS A, ECKERSALL P D . A peptidomic approach to biomarker discovery for bovine mastitis. Journal of Proteomics, 2013,85:89-98.
doi: 10.1016/j.jprot.2013.04.027 |
[38] | ZHAO X W, YANG Y X, HUANG D W, Cheng G L, Zhao H L . Comparative proteomic analysis of proteins expression changes in the mammary tissue of cows infected with Escherichia coli mastitis. Journal of Veterinary Science, 2015,16(3):253-263. |
[39] | JACOB T, SUBRAMANI G, SIVAPRAKASAM P, XAVIER A P, MUKHOPADHYAY H K . Immuno-detection of C3a, a C3 complement activated product in mastitis milk, a potential Diagnostic marker. Journal of Veterinary Science, 2017,4(1):13. |
[40] |
HUANG J, LUO G, ZHANG Z, WANG X, JU Z, QI C, ZHANG Y, WANG C, LI R, LI J, YIN W, XU Y, MOISÁ S J, LOOR J J , ZHONG J. iTRAQ-proteomics and bioinformatics analyses of mammary tissue from cows with clinical mastitis due to natural infection with Staphylococci aureus. BMC Genomics, 2014,15:839.
doi: 10.1186/1471-2164-15-839 |
[41] | LIPPOLIS J D, HOLMAN D B, BRUNELLE B W, THACKER T C, BEARSON B L, REINHARDT T A, SACCO1 R E, CASEY T A . Genomic and transcriptomic analysis ofEscherichia coli strains associated with persistent and transient bovine mastitis and the role of Colanic Acid. Infection and Immunity, 2017,IAI: 00566-17. |
[42] | CAPRA E, CREMONESI P, PIETRELLI A, PUCCIO S, LUINI M, STELLA A, CASTIGLIONI B . Genomic and transcriptomic comparison between Staphylococcus aureus strains associated with high and low within herd prevalence of intra-mammary infection. BMC microbiology, 2017,17(1):21. |
[43] | TIEZZI F, PARKER-GADDIS K L, COLE J B, CLAY J S, MALTECCA C .A genome-wide association study for clinical mastitis in first parity US Holstein cows using single-step approach and genomic matrix re-weighting procedure. PLoS One, 2015,10(2):e114919. |
[44] | WANG X, MA P, LIU J, ZHANG Q, ZHANG Y, DING X, JIANG L, WANG Y, ZHANG Y, SUN D, ZHANG S, SU G, YU Y . Genome-wide association study in Chinese Holstein cows reveal two candidate genes for somatic cell score as an indicator for mastitis susceptibility. BMC Genetics, 2015,16(1):111. |
[45] | BRAND B, HARTMANN A, REPSILBER D, GRIESBECK-ZILCH B, WELLNITZ O, KÜHN C, PONSUKSILI S, MEYER H H, SCHWERIN M . Comparative expression profiling of E. coli and S. aureus inoculated primary mammary gland cells sampled from cows with different genetic predispositions for somatic cell score。 Genetics Selection Evolution, 2011,43(1):24. |
[46] | IM J, LEE T, JEON J H, BAIK J E, KIM K W, KANG S S, YUN C H, KIM H, HAN S H . Gene expression profiling of bovine mammary gland epithelial cells stimulated with lipoteichoic acid plus peptidoglycan from Staphylococcus aureus. International Immunopharmacology, 2014,21(1):231-240. |
[47] | XIU L, FU Y B, DENG Y, SHI XJ, BIAN ZY, RUHAN A, WANG X . Deep sequencing-based analysis of gene expression in bovine mammary epithelial cells afterStaphylococcus aureus, Escherichia coli, and Klebsiella pneumoniae infection. Genetics and Molecular Research, 2015,14(4):16948-16965. |
[48] | WANG X G, JU Z H, HOU M H, JIANG Q, YANG C H, ZHANG Y, SUN Y, LI R L, WANG C F, ZHONG J F, HUANG J M . Deciphering transcriptome and complex alternative splicing transcripts in mammary gland tissues from cows naturally infected with Staphylococcus aureus Mastitis. PLoS One, 2016,11(7):e159719. |
[49] | WANG X, XIU L, HU Q, CUI X, LIU B, TAO L, WANG T, WU J, CHEN Y, CHEN Y . Deep sequencing-based transcriptional analysis of bovine mammary epithelial cells gene expression in response to in vitro infection with Staphylococcus aureus stains. PLoS One, 2013,8(12):e82117. |
[50] |
PU J, LI R, ZHANG C, CHEN D, LIAO X, ZHU Y, GENG X, JI D, MAO Y, GONG Y, YANG Z . Expression profiles of miRNAs from bovine mammary glands in response to Streptococcus agalactiae- induced mastitis. Journal of Dairy Research, 2017,84(3):300-308.
doi: 10.1017/S0022029917000437 |
[51] | FANG L, HOU Y, AN J, LI B, SONG M, WANG X, SØRENSEN P, DONG Y, LIU C, WANG Y, ZHU H, ZHANG S, YU Y . Genome-eide transcriptional and post-transcriptional regulation of iInnate immune and defense responses of bovine mammary gland to Staphylococcus aureus. Frontiers in Cellular and Infection Microbiology, 2016,6:193. |
[52] |
FANG L, SAHANA G, SU G, YU Y, ZHANG S, LUND M S, SØRENSEN P . Integrating sequence-based GWAS and RNA-Seq provides novel insights into the genetic basis of mastitis and milk production in dairy cattle. Scientific Reports, 2017,7:45560.
doi: 10.1038/srep45560 |
[53] | JIN W IBEAGHA-AWEMU E M LIANG G BEAUDOIN F ZHAO X GUAN L L . Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureus bacteria reveals pathogen directed microRNA expression profiles. BMC Genomics, 2014,15(1):181. |
[54] |
VANSELOW J, YANG W, HERRMANN J, ZERBE H, SCHUBERTH H J, PETZL W, TOMEK W, SEYFERT H M . DNA-remethylation around a STAT5-binding enhancer in the S1-casein promoter is associated with abrupt shutdown of S1-casein synthesis during acute mastitis. Journal of Molecular Endocrinology, 2006,37(3):463-477.
doi: 10.1677/jme.1.02131 |
[55] |
WANG X S, ZHANG Y, HE Y H, MA P P, FAN L J, WANG Y C, ZHANG Y I, SUN D X, ZHANG S L, WANG C D, SONG J Z, YU Y . Aberrant promoter methylation of the CD4 gene in peripheral blood cells of mastitis dairy cows. Genetics and Molecular Research, 2013,12(4):6228-6239.
doi: 10.4238/2013.December.4.10 |
[56] | SONG M, HE Y, ZHOU H, ZHANG Y, LI X, YU Y . Combined analysis of DNA methylome and transcriptome reveal novel candidate genes with susceptibility to bovine Staphylococcus aureus subclinical mastitis. Scientific Reports, 2016,6(1):29390. |
[57] | HE Y, SONG M, ZHANG Y, LI X, SONG J, ZHANG Y, YU Y . Whole-genome regulation analysis of histone H3 lysin 27 trimethylation in subclinical mastitis cows infected by Staphylococcus aureus. BMC Genomics, 2016,17(1):565. |
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