Title |
Molecular typing of Argentinian Mycobacterium avium subsp. paratuberculosis isolates by multiple-locus variable number-tandem repeat analysis
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Published in |
Brazilian Journal of Microbiology, June 2015
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DOI | 10.1590/s1517-838246220140283 |
Pubmed ID | |
Authors |
Andrea Gioffré, Magnolia Correa Muñoz, María F. Alvarado Pinedo, Roberto Vaca, Claudia Morsella, María Andrea Fiorentino, Fernando Paolicchi, Paula Ruybal, Martín Zumárraga, Gabriel E. Travería, María Isabel Romano |
Abstract |
Multiple-locus variable number-tandem repeat analysis (MLVA) of Mycobacterium avium subspecies paratuberculosis (MAP) isolates may contribute to the knowledge of strain diversity in Argentina. Although the diversity of MAP has been previously investigated in Argentina using IS900-RFLP, a small number of isolates were employed, and a low discriminative power was reached. The aim of the present study was to test the genetic diversity among MAP isolates using an MLVA approach based on 8 repetitive loci. We studied 97 isolates from cattle, goat and sheep and could describe 7 different patterns: INMV1, INMV2, INMV11, INMV13, INMV16, INMV33 and one incomplete pattern. INMV1 and INMV2 were the most frequent patterns, grouping 76.3% of the isolates. We were also able to demonstrate the coexistence of genotypes in herds and co-infection at the organism level. This study shows that all the patterns described are common to those described in Europe, suggesting an epidemiological link between the continents. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 17% |
Researcher | 6 | 17% |
Student > Ph. D. Student | 4 | 11% |
Student > Doctoral Student | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 3 | 9% |
Unknown | 12 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 7 | 20% |
Agricultural and Biological Sciences | 6 | 17% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Immunology and Microbiology | 3 | 9% |
Computer Science | 1 | 3% |
Other | 3 | 9% |
Unknown | 11 | 31% |