Simon C. Archer
Prediction of Streptococcus uberis clinical mastitis risk using Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) in dairy herds
Archer, Simon C.; Bradley, Andrew J.; Cooper, Selin; Davies, Peers; Green, Martin J.
Authors
Professor ANDREW BRADLEY andrew.bradley@nottingham.ac.uk
PROFESSOR OF DAIRY HERD HEALTH AND PRODUCTION
Selin Cooper
Peers Davies
Martin J. Green
Abstract
The purpose of this study was to evaluate whether the risk of Streptococcus uberis clinical mastitis at cow level could be predicted from the historical presence of specific strains of S. uberis on dairy farms. Matrix-assisted laser desorption ionization time of flight mass spectrometry was used to identify S. uberis isolates potentially capable of contagious transmission. Data were available from 10,652 cows from 52 English and Welsh dairy farms over a 14 month period, and 521 isolates of S. uberis from clinical mastitis cases were available for analysis. As well as the temporal herd history of clinical mastitis associated with particular S. uberis strains, other exposure variables included cow parity, stage of lactation, milk yield, and somatic cell count. Observations were structured longitudinally as repeated weekly measures through the study period for each cow. Data were analyzed in a Bayesian framework using multilevel logistic regression models. Similarity of mass spectral profiles between isolates of S. uberis from consecutive clinical cases of mastitis in herds was used to indicate potential for contagious phenotypic characteristics. Cross validation showed that new isolates with these characteristics could be identified with an accuracy of 90% based on bacterial protein mass spectral characteristics alone. The cow-level risk in any week of these S. uberis clinical mastitis cases increased with the presence of the same specific strains of S. uberis in other cows in the herd during the previous 2 weeks. The final statistical model 29 indicated there would be a 2 to 3 fold increase in the risk of S. uberis clinical mastitis associated with particular strains if these occurred in the herd 1 and 2 weeks previously. The results suggest that specific strains of S. uberis may be involved with contagious transmission, and predictions based on their occurrence could be used as an early warning surveillance system to enhance the control of S. uberis mastitis.
Citation
Archer, S. C., Bradley, A. J., Cooper, S., Davies, P., & Green, M. J. (2017). Prediction of Streptococcus uberis clinical mastitis risk using Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) in dairy herds. Preventive Veterinary Medicine, 144, https://doi.org/10.1016/j.prevetmed.2017.05.015
Journal Article Type | Article |
---|---|
Acceptance Date | May 15, 2017 |
Online Publication Date | May 17, 2017 |
Publication Date | Sep 1, 2017 |
Deposit Date | May 19, 2017 |
Publicly Available Date | May 19, 2017 |
Journal | Preventive Veterinary Medicine |
Print ISSN | 0167-5877 |
Electronic ISSN | 1873-1716 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 144 |
DOI | https://doi.org/10.1016/j.prevetmed.2017.05.015 |
Keywords | Prediction, Contagious mastitis, Streptococcus uberis, Molecular epidemiology |
Public URL | https://nottingham-repository.worktribe.com/output/879720 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0167587716305670 |
Contract Date | May 19, 2017 |
Files
uberis 1-s2.0-S0167587716305670-main.pdf
(419 Kb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
You might also like
Quantification of the effect of in utero events on lifetime resilience in dairy cows
(2024)
Journal Article
Associations between Johne’s disease and fertility in UK dairy herds
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search