Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractGenome-wide identification of calcium-dependent protein kinases in soybean and analyses of their transcriptional responses to insect herbivory and drought stress    Next AbstractThe influence of incubation on the formation of volatile bacterial metabolites in mastitis milk »

J Dairy Sci


Title:Detection of mastitis pathogens by analysis of volatile bacterial metabolites
Author(s):Hettinga KA; van Valenberg HJ; Lam TJ; van Hooijdonk AC;
Address:"Dairy Science and Technology group, Wageningen University and Research Centre, Wageningen, the Netherlands. kasper.hettinga@wur.nl"
Journal Title:J Dairy Sci
Year:2008
Volume:91
Issue:10
Page Number:3834 - 3839
DOI: 10.3168/jds.2007-0941
ISSN/ISBN:1525-3198 (Electronic) 0022-0302 (Linking)
Abstract:"The ability to detect mastitis pathogens based on their volatile metabolites was studied. Milk samples from cows with clinical mastitis, caused by Staphylococcus aureus, coagulase-negative staphylococci, Streptococcus uberis, Streptococcus dysgalactiae, and Escherichia coli were collected. In addition, samples from cows without clinical mastitis and with low somatic cell count (SCC) were collected for comparison. All mastitis samples were examined by using classical microbiological methods, followed by headspace analysis for volatile metabolites. Milk from culture-negative samples contained a lower number and amount of volatile components compared with cows with clinical mastitis. Because of variability between samples within a group, comparisons between pathogens were not sufficient for classification of the samples by univariate statistics. Therefore, an artificial neural network was trained to classify the pathogen in the milk samples based on the bacterial metabolites. The trained network differentiated milk from uninfected and infected quarters very well. When comparing pathogens, Staph. aureus produced a very different pattern of volatile metabolites compared with the other samples. Samples with coagulase-negative staphylococci and E. coli had enough dissimilarity with the other pathogens, making it possible to separate these 2 pathogens from each other and from the other samples. The 2 streptococcus species did not show significant differences between each other but could be identified as a different group from the other pathogens. Five groups can thus be identified based on the volatile bacterial metabolites: Staph. aureus, coagulase-negative staphylococci, streptococci (Strep. uberis and Strep. dysgalactiae as one group), E. coli, and uninfected quarters"
Keywords:"Animals Bacteria/classification/*metabolism Bacterial Infections/diagnosis/microbiology/*veterinary Cattle Female Gas Chromatography-Mass Spectrometry/*methods Mastitis, Bovine/*diagnosis/microbiology Milk/*chemistry/classification/cytology/microbiology M;"
Notes:"MedlineHettinga, K A van Valenberg, H J F Lam, T J G M van Hooijdonk, A C M eng 2008/10/04 J Dairy Sci. 2008 Oct; 91(10):3834-9. doi: 10.3168/jds.2007-0941"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 29-12-2024