Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics

Mudaliar, M. et al. (2016) Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics. Molecular BioSystems, 12(9), pp. 2748-2761. (doi: 10.1039/C6MB00290K) (PMID:27412694) (PMCID:PMC5048399)

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Mastitis, inflammation of the mammary gland, is the most common and costly disease of dairy cattle in the western world. It is primarily caused by bacteria, with Streptococcus uberis as one of the most prevalent causative agents. To characterize the proteome during Streptococcus uberis mastitis, an experimentally induced model of intramammary infection was used. Milk whey samples obtained from 6 cows at 6 time points were processed using label-free relative quantitative proteomics. This proteomic analysis complements clinical, bacteriological and immunological studies as well as peptidomic and metabolomic analysis of the same challenge model. A total of 2552 non-redundant bovine peptides were identified, and from these, 570 bovine proteins were quantified. Hierarchical cluster analysis and principal component analysis showed clear clustering of results by stage of infection, with similarities between pre-infection and resolution stages (0 and 312 h post challenge), early infection stages (36 and 42 h post challenge) and late infection stages (57 and 81 h post challenge). Ingenuity pathway analysis identified upregulation of acute phase protein pathways over the course of infection, with dominance of different acute phase proteins at different time points based on differential expression analysis. Antimicrobial peptides, notably cathelicidins and peptidoglycan recognition protein, were upregulated at all time points post challenge and peaked at 57 h, which coincided with 10 000-fold decrease in average bacterial counts. The integration of clinical, bacteriological, immunological and quantitative proteomics and other-omic data provides a more detailed systems level view of the host response to mastitis than has been achieved previously.

Item Type:Articles
Keywords:Proteomics, label-free, quantitative proteomics, mastitis, Streptococcus uberis.
Glasgow Author(s) Enlighten ID:Burchmore, Dr Richard and Eckersall, Professor David and Weidt, Dr Stefan and Mcneilly, Dr Tom and Mudaliar, Dr Manikhandan and Herzyk, Dr Pawel and McLaughlin, Dr Mark and Zadoks, Professor Ruth and Wilson, David
Authors: Mudaliar, M., Tassi, R., Thomas, F., Mcneilly, T., Weidt, S., McLaughlin, M., Wilson, D., Burchmore, R., Herzyk, P., Eckersall, P., and Zadoks, R.
Subjects:S Agriculture > SF Animal culture > SF600 Veterinary Medicine
College/School:College of Medical Veterinary and Life Sciences
College of Medical Veterinary and Life Sciences > School of Infection & Immunity
College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Molecular BioSystems
Publisher:Royal Society of Chemistry
ISSN (Online):1742-2051
Published Online:14 July 2016
Copyright Holders:Copyright © 2016 Royal Society of Chemistry
First Published:First published in Molecular BioSystems 12(9):2748-2761
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.1039/c6mb00290k

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
594271Integrated Health - Polyomics and Systems Biomedicine (ISSF Bid)Anna DominiczakWellcome Trust (WELLCOME)097821/Z/11/ZRI CARDIOVASCULAR & MEDICAL SCIENCES