DOI QR코드

DOI QR Code

Discovery of antigens for early detection of Mycobacterium avium subsp. paratuberculosis and analysis of characteristics using bioinformatics tools

Mycobacterium avium subsp. paratuberculosis 감염 초기 개체 검출을 위한 항원 탐색 및 특성 분석

  • Park, Hong-Tae (Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University) ;
  • Park, Hyun-Eui (Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University) ;
  • Shin, Min-Kyoung (Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University) ;
  • Cho, Yong-Il (Department of Animal Resources Development, National Institute of Animal Science, Rural Development Administration) ;
  • Yoo, Han Sang (Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University)
  • 박홍태 (서울대학교 수의과대학) ;
  • 박현의 (서울대학교 수의과대학) ;
  • 신민경 (서울대학교 수의과대학) ;
  • 조용일 (농촌진흥청 국립축산과학원) ;
  • 유한상 (서울대학교 수의과대학)
  • Received : 2015.04.18
  • Accepted : 2015.05.11
  • Published : 2015.06.30

Abstract

Johne's disease, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is one of the most widespread and economically important diseases in cattle. Current diagnostic methods are based on the detection of anti-MAP antibodies in serum or isolation of the causative agent. However, these techniques are often not applicable for cases of subclinical infection due to relatively low sensitivity. Therefore, finding new antigen candidates that strongly react with the host immune system had been attempted. To effectively detect infection during the subclinical stage, several antigen candidates were selected based on previous researches. Characteristics of the selected antigen candidates were analyzed using bioinformatics-based prediction tools. A total of nine antigens were selected (MAP0862, MAP3817c, MAP2077c, MAP0860c, MAP3954, MAP3155c, MAP1204, MAP1087, and MAP2963c) that have MAP-specific and/or high immune responses to infected animals. Using a transmembrane prediction tool, five of the nine antigen candidates were predicted to be membrane protein (MAP3817c, MAP3954, MAP3155c, MAP1087, and MAP1204). Some of the predicted protein structures identified using the I-TASSER server shared similarities with known proteins found in the Protein Data Bank database (MAP0862, MAP1204, and MAP2077c). In future studies, the characteristics and diagnostic efficiency of the selected antigen candidates will be evaluated.

Acknowledgement

Supported by : 농촌진흥청

References

  1. Bannantine JP, Bayles DO, Waters WR, Palmer MV, Stabel JR, Paustian ML. Early antibody response against Mycobacterium avium subspecies paratuberculosis antigens in subclinical cattle. Proteome Sci 2008, 6, 5. https://doi.org/10.1186/1477-5956-6-5
  2. Bannantine JP, Paustian ML, Waters WR, Stabel JR, Palmer MV, Li L, Kapur V. Profiling bovine antibody responses to Mycobacterium avium subsp. paratuberculosis infection by using protein arrays. Infect Immun 2008, 76, 739-749. https://doi.org/10.1128/IAI.00915-07
  3. Bannantine JP, Rosu V, Zanetti S, Rocca S, Ahmed N, Sechi LA. Antigenic profiles of recombinant proteins from Mycobacterium avium subsp. paratuberculosis in sheep with Johne's disease. Vet Immunol Immunopathol 2008, 122, 116-125. https://doi.org/10.1016/j.vetimm.2007.10.020
  4. Bannantine JP, Waters WR, Stabel JR, Palmer MV, Li L, Kapur V, Paustian ML. Development and use of a partial Mycobacterium avium subspecies paratuberculosis protein array. Proteomics 2008, 8, 463-474. https://doi.org/10.1002/pmic.200700644
  5. Chacon O, Bermudez LE, Barletta RG. Johne's disease, inflammatory bowel disease, and Mycobacterium paratuberculosis. Annu Rev Microbiol 2004, 58, 329-363. https://doi.org/10.1146/annurev.micro.58.030603.123726
  6. Cho D, Collins MT. Comparison of the proteosomes and antigenicities of secreted and cellular proteins produced by Mycobacterium paratuberculosis. Clin Vaccine Immunol 2006, 13, 1155-1161. https://doi.org/10.1128/CVI.00058-06
  7. Collins MT, Wells SJ, Petrini KR, Collins JE, Schultz RD, Whitlock RH. Evaluation of five antibody detection tests for diagnosis of bovine paratuberculosis. Clin Diagn Lab Immunol 2005, 12, 685-692.
  8. Ganash M, Phung D, Sedelnikova SE, Lindback T, Granum PE, Artymiuk PJ. Structure of the NheA component of the Nhe toxin from Bacillus cereus: implications for function. PLoS One 2013, 8, e74748. https://doi.org/10.1371/journal.pone.0074748
  9. Hughes V, Bannantine JP, Denham S, Smith S, Garcia-Sanchez A, Sales J, Paustian ML, Mclean K, Stevenson K. Immunogenicity of proteome-determined Mycobacterium avium subsp. paratuberculosis-specific proteins in sheep with paratuberculosis. Clin Vaccine Immunol 2008, 15, 1824-1833. https://doi.org/10.1128/CVI.00099-08
  10. Krogh A, Larsson B, von Heijne G, Sonnhammer ELL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 2001, 305, 567-580. https://doi.org/10.1006/jmbi.2000.4315
  11. Irenge LM, Walravens K, Govaerts M, Godfroid J, Rosseels V, Huygen K, Gala JL. Development and validation of a triplex real-time PCR for rapid detection and specific identification of M. avium subsp. paratuberculosis in faecal samples. Vet Microbiol 2009, 136, 166-172. https://doi.org/10.1016/j.vetmic.2008.09.087
  12. Lambrecht RS, Carriere JF, Collins MT. A model for analyzing growth kinetics of a slowly growing Mycobacterium sp. Appl Environ Microbiol 1988, 54, 910-916.
  13. Alexander DC, Turenne CY, Behr MA. Insertion and deletion events that define the pathogen Mycobacterium avium subsp. paratuberculosis. J Bacteriol 2009, 191, 1018-1025. https://doi.org/10.1128/JB.01340-08
  14. Both D, Schneider G, Schnell R. Peptidoglycan remodeling in Mycobacterium tuberculosis: comparison of structures and catalytic activities of RipA and RipB. J Mol Biol 2011, 413, 247-260. https://doi.org/10.1016/j.jmb.2011.08.014
  15. Abubakar I, Myhill D, Aliyu SH, Hunter PR. Detection of Mycobacterium avium subspecies paratuberculosis from patients with Crohn's disease using nucleic acid-based techniques: a systematic review and meta-analysis. Inflamm Bowel Dis 2008, 14, 401-410. https://doi.org/10.1002/ibd.20276
  16. Mendoza JL, Lana R, Diaz-Rubio M. Mycobacterium avium subspecies paratuberculosis and its relationship with Crohn's disease. World J Gastroenterol 2009, 15, 417-422. https://doi.org/10.3748/wjg.15.417
  17. Mikkelsen H, Aagaard C, Nielsen SS, Jungersen G. Review of Mycobacterium avium subsp. paratuberculosis antigen candidates with diagnostic potential. Vet Microbiol 2011, 152, 1-20. https://doi.org/10.1016/j.vetmic.2011.03.006
  18. Nielsen SS, Toft N. A review of prevalences of paratuberculosis in farmed animals in Europe. Prev Vet Med 2009, 88, 1-14. https://doi.org/10.1016/j.prevetmed.2008.07.003
  19. Ostrowski M, Mundo SL, Harris NB, Barletta RG, LopezOJ. B-cell epitopes in the immunodominant p34 antigen ofMycobacterium avium ssp. paratuberculosis recognized byantibodies from infected cattle. Scand J Immunol 2003, 58,511-521. https://doi.org/10.1046/j.1365-3083.2003.01334.x
  20. Ott SL, Wells SJ, Wagner BA. Herd-level economic losses associated with Johne's disease on US dairy operations. Prev Vet Med 1999, 40, 179-192. https://doi.org/10.1016/S0167-5877(99)00037-9
  21. Paustian ML, Amonsin A, Kapur V, Bannantine JP. Characterization of novel coding sequences specific to Mycobacterium avium subsp. paratuberculosis: implications for diagnosis of Johne's disease. J Clin Microbiol 2004, 42, 2675-2681. https://doi.org/10.1128/JCM.42.6.2675-2681.2004
  22. Pierce ES. Where are all the Mycobacterium avium subspecies paratuberculosis in patients with Crohn's disease? PLoS Pathog 2009, 5, e1000234. https://doi.org/10.1371/journal.ppat.1000234
  23. Sockett DC, Conrad TA, Thomas CB, Collins MT. Evaluation of four serological tests for bovine paratuberculosis. J Clin Microbiol 1992, 30, 1134-1139.
  24. Stabel JR. Johne's disease: a hidden threat. J Dairy Sci 1998, 81, 283-288. https://doi.org/10.3168/jds.S0022-0302(98)75577-8
  25. Sweeney RW. Pathogenesis of paratuberculosis. Vet Clin North Am Food Anim Pract 2011, 27, 537-546. https://doi.org/10.1016/j.cvfa.2011.07.001
  26. Sweeney RW. Transmission of paratuberculosis. Vet Clin North Am Food Anim Pract 1996, 12, 305-312. https://doi.org/10.1016/S0749-0720(15)30408-4
  27. Weber MF, Verhoeff J, van Schaik G, van Maanen C. Evaluation of Ziehl-Neelsen stained faecal smear and ELISA as tools for surveillance of clinical paratuberculosis in cattle in the Netherlands. Prev Vet Med 2009, 92, 256-266. https://doi.org/10.1016/j.prevetmed.2009.08.017
  28. Weldingh K, Rosenkrands I, Okkels LM, Doherty TM, Andersen P. Assessing the serodiagnostic potential of 35 Mycobacterium tuberculosis proteins and identification of four novel serological antigens. J Clin Microbiol 2005, 43, 57-65. https://doi.org/10.1128/JCM.43.1.57-65.2005
  29. Wells SJ, Collins MT, Faaberg KS, Wees C, Tavornpanich S, Petrini KR, Collins JE, Cernicchiaro N, Whitlock RH. Evaluation of a rapid fecal PCR test for detection of Mycobacterium avium subsp. paratuberculosis in dairy cattle. Clin Vaccine Immunol 2006, 13, 1125-1130. https://doi.org/10.1128/CVI.00236-06
  30. Whitlock RH, Wells SJ, Sweeney RW, Van Tiem J. ELISA and fecal culture for paratuberculosis (Johne's disease): sensitivity and specificity of each method. Vet Microbiol 2000, 77, 387-398. https://doi.org/10.1016/S0378-1135(00)00324-2
  31. Zhang Y. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics 2008, 9, 40. https://doi.org/10.1186/1471-2105-9-40