| Title |
Bacterial Classification of Fish-Pathogenic Mycobacterium Species by Multigene Phylogenetic Analyses and MALDI Biotyper Identification System
|
|---|---|
| Published in |
Marine Biotechnology, November 2012
|
| DOI | 10.1007/s10126-012-9492-x |
| Pubmed ID | |
| Authors |
Satoru Kurokawa, Jun Kabayama, Tsuguaki Fukuyasu, Seong Don Hwang, Chan-Il Park, Seong-Bin Park, Carmelo S. del Castillo, Jun-ichi Hikima, Tae-Sung Jung, Hidehiro Kondo, Ikuo Hirono, Haruko Takeyama, Takashi Aoki |
| Abstract |
Mycobacterium marinum is difficult to distinguish from other species of Mycobacterium isolated from fish using biochemical methods. Here, we used genetic and proteomic analyses to distinguish three Mycobacterium strains: M. marinum strains MB2 and Europe were isolated from tropical and marine fish in Thailand and Europe, and Mycobacterium sp. 012931 strain was isolated from yellowtail in Japan. In phylogenetic trees based on gyrB, rpoB, and Ag85B genes, Mycobacterium sp. 012931 clustered with M. marinum strains MB2 and Europe, but in trees based on 16S rRNA, hsp65, and Ag85A genes Mycobacterium sp. 012931 did not cluster with the other strains. In proteomic analyses using a Bruker matrix-assisted laser desorption ionization Biotyper, the mass profile of Mycobacterium sp. 012931 differed from the mass profiles of the other two fish M. marinum strains. Therefore, Mycobacterium sp. 012931 is similar to M. marinum but is not the same, suggesting that it could be a subspecies of M. marinum. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Researcher | 6 | 15% |
| Professor > Associate Professor | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Other | 4 | 10% |
| Other | 11 | 27% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 49% |
| Immunology and Microbiology | 5 | 12% |
| Veterinary Science and Veterinary Medicine | 4 | 10% |
| Medicine and Dentistry | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 6 | 15% |