HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Comparison of C18-carboxypropylbetaine and glass bead DNA extraction methods for detection of Mycobacterium bovis in bovine milk samples and analysis of samples by PCR.

Abstract
The purpose of this prospective study was to compare two different milk preparation methods to assay for the presence of Mycobacterium bovis by PCR. Detection by a C18-carboxypropylbetaine (CB-18)-based sample processing method was compared to extraction of DNA from milk with glass beads. Samples from 17 skin test-positive cattle were analyzed. Following CB-18 processing and glass bead extraction, the sensitivity of IS6110-based PCR was 94.1 and 58.8%, respectively (P < 0.025). Because CB-18 processing will permit the proficient use of PCR for diagnosis and surveillance of bovine tuberculosis, it will contribute to the more efficient detection and control of tuberculosis.
AuthorsB J Cornejo, A Sahagún-Ruiz, F Suárez-Güemes, C G Thornton, T A Ficht, L G Adams
JournalApplied and environmental microbiology (Appl Environ Microbiol) Vol. 64 Issue 8 Pg. 3099-101 (Aug 1998) ISSN: 0099-2240 [Print] United States
PMID9687483 (Publication Type: Comparative Study, Journal Article, Research Support, U.S. Gov't, P.H.S.)
Chemical References
  • DNA, Bacterial
  • Betaine
Topics
  • Animals
  • Bacteriological Techniques
  • Betaine (analogs & derivatives)
  • Cattle
  • DNA, Bacterial (isolation & purification)
  • Glass
  • Microspheres
  • Milk (microbiology)
  • Mycobacterium bovis (genetics, isolation & purification)
  • Polymerase Chain Reaction (methods)
  • Prospective Studies
  • Sensitivity and Specificity
  • Tuberculin Test (veterinary)
  • Tuberculosis, Bovine (diagnosis)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: