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Published on: September 26, 2025
Characterization of Ethanol Extracted Cell Wall Components of Mycobacterium avium Subsp. paratuberculosis
John P Bannantine1, Ashutosh Wadhwa2, Judith R Stabel3
1National Animal Disease Center, USDA-Agricultural Research Service, Ames, IA 50010, USA. john.bannantine@usda.gov.
Abstract:
Antigens extracted using ethanol (EtOH) and incorporated in the EtOH vortex ELISA (EVELISA) test have previously shown high specificity and sensitivity for detecting Mycobacterium avium subspecies paratuberculosis (Map) and M. bovis infections in cattle. The objective of this study is to define the components present in the EtOH extract. We show that this extract is composed of lipid, carbohydrate, and proteins on the surface of the bacilli, and that EtOH removes the outer layer structure of Map which comprise these elements. To identify proteins, polyclonal antibodies to the EtOH prep were produced and used to screen a Map genomic expression library. Seven overlapping clones were identified with a single open reading frame, MAP_0585, common to all. MAP_0585, which encodes a hypothetical protein, was recombinantly produced and used to demonstrate strong reactivity in sera from hyperimmunized rabbits, but this protein is not strongly immunogenic in cattle with Johne's disease. A panel of monoclonal antibodies was used to determine the presence of additional proteins in the EtOH extract. These antibodies demonstrated that a well-known antigen, termed MPB83, is present in M. bovis EtOH extracts and a fatty acid desaturase (MAP_2698c) is present in Map EtOH extracts, while lipoarabinomannan was common to both. The lipid and carbohydrate components of the extract were analyzed using thin layer chromatography and lectin binding, respectively. Lectin biding and protease treatment of the EtOH extract suggest the antigenic component is carbohydrate and not protein. These results give further insight into this important antigen prep for detecting mycobacterial diseases of cattle.
Insights
Ethanol extracts reveal key components for detecting bovine mycobacterial infections. Carbohydrates, not proteins, appear to be the primary antigenic targets in this diagnostic antigen preparation.
Area of Science:
- Veterinary Immunology
- Microbial Diagnostics
- Bacteriology
Background:
- Ethanol (EtOH) extracts and the EtOH vortex ELISA (EVELISA) test show high specificity and sensitivity for detecting Mycobacterium avium subspecies paratuberculosis (Map) and M. bovis infections in cattle.
- Understanding the precise composition of these EtOH antigen extracts is crucial for improving diagnostic accuracy.
Purpose of the Study:
- To define the specific molecular components present in the EtOH antigen extract used for cattle mycobacterial diagnostics.
- To identify the key antigenic molecules responsible for the diagnostic efficacy of the EtOH extract.
Main Methods:
- Screening of a Map genomic expression library using polyclonal antibodies against the EtOH prep.
- Recombinant production and characterization of identified protein candidates (MAP_0585).
- Analysis of lipid and carbohydrate components using thin layer chromatography and lectin binding; assessment of antigenicity via protease treatment and monoclonal antibody panels.
Main Results:
- The EtOH extract contains lipids, carbohydrates, and proteins from the mycobacterial outer layer.
- MAP_0585, a hypothetical protein, showed reactivity in rabbit sera but not strongly in cattle with Johne's disease.
- MPB83 (in M. bovis) and a fatty acid desaturase (MAP_2698c) (in Map) were identified, along with common lipoarabinomannan.
- Lectin binding and protease treatment indicated that the primary antigenic component is carbohydrate, not protein.
Conclusions:
- The EtOH extract's antigenic activity is primarily attributed to its carbohydrate components.
- This detailed characterization provides valuable insights into the diagnostic antigen preparation for bovine mycobacterial diseases.
- Further research may focus on optimizing carbohydrate-based antigens for enhanced cattle diagnostics.
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