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Molecular typing of Argentinian Mycobacterium avium subsp. paratuberculosis isolates by multiple-locus variable number-tandem repeat analysis

Overview of attention for article published in Brazilian Journal of Microbiology, June 2015
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Title
Molecular typing of Argentinian Mycobacterium avium subsp. paratuberculosis isolates by multiple-locus variable number-tandem repeat analysis
Published in
Brazilian Journal of Microbiology, June 2015
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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 August 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Brazilian Journal of Microbiology
#887
of 1,377 outputs
Outputs of similar age
#206,504
of 281,402 outputs
Outputs of similar age from Brazilian Journal of Microbiology
#26
of 45 outputs
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