자료유형 | 학위논문 |
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서명/저자사항 | Discovery and Validation of Pathogen Specific Biomarkers and Comparative Genomics for Diagnosis and Tracking of Bovine Tuberculosis. |
개인저자 | Wanzala, Sylvia Irene. |
단체저자명 | University of Minnesota. Veterinary Medicine. |
발행사항 | [S.l.]: University of Minnesota., 2017. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
형태사항 | 137 p. |
기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
ISBN | 9781392821510 |
학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2017. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Sreevatsan, Srinand. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | Current tools for the detection of Mycobacterium tuberculosis complex infections notably M. bovis are inadequate. New methods are required that are quick, inexpensive and accurate. In addition, the contribution of Mycobacterium bovis to the proportion of tuberculosis cases in humans is unknown. In this thesis, these questions were addressed by applying novel minimally invasive tools-pathogen specific peptides and circulating small and miRNA (biomarkers)-to detect infection with Mycobacterium tuberculosis complex organisms quickly, efficiently and accurately. Whole genome sequencing was also carried out and used to extract a minimum Single Nucleotide Polymorphism (SNP) set that would be used in a SNP chip as a means to quickly detect Mycobacterium tuberculosis complex infection. Genome analysis in this study identified M. bovis in humans and great apes suggesting transmission from domesticated ruminants is possible in high TB prevalence regions of the world due to a dynamic and changing interface, which has created opportunity for exposure and transmission. These tools all offer specific approaches for the early identification of M. bovis and other Mycobacterium tuberculosis complex infections. |
일반주제명 | Microbiology. Immunology. Veterinary medicine. |
언어 | 영어 |
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