2009
DOI: 10.1016/j.meegid.2008.10.007
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“HOOF-Print” genotyping and haplotype inference discriminates among Brucella spp. isolates from a small spatial scale

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Cited by 7 publications
(6 citation statements)
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“…A hypervariable or unstable maker may indicate the wrong source of infection, so it would not be helpful as an epidemiological marker. Bruce 16 and Hoof-3 have a maximum of six and ten allelic types, and the SDI values were 0.758 (Table 1), which is similar to the case with Brucella species previously reported [1,2,24]. Above all, unlike Bruce 9, Bruce 16 and Hoof-3, which had the highest DI values, did not vary according to the isolates from each farm (Table 3).…”
Section: Discussionsupporting
confidence: 82%
“…A hypervariable or unstable maker may indicate the wrong source of infection, so it would not be helpful as an epidemiological marker. Bruce 16 and Hoof-3 have a maximum of six and ten allelic types, and the SDI values were 0.758 (Table 1), which is similar to the case with Brucella species previously reported [1,2,24]. Above all, unlike Bruce 9, Bruce 16 and Hoof-3, which had the highest DI values, did not vary according to the isolates from each farm (Table 3).…”
Section: Discussionsupporting
confidence: 82%
“…With just half of the markers required for MLVA-16 typing, HOOF-printing showed a high degree of intraspecific diversity (6,32); it is therefore a powerful tool for typing of B. melitensis strains collected from single countries (2,30). In the present population, the allelic richness was especially marked in TRs 1, 4, 5, and 7 (13 to 16 alleles).…”
Section: Discussionmentioning
confidence: 70%
“…The Brucella 2009 genotyping database available at http://mlva.u-psud.fr/ and based upon the data provided in Additional file 1 can be used for this purpose. Figure 4 shows the global population structure of the nine species currently constituting the Brucella genus, as can be revealed by MLVA-16 typing using this dataset (the extended data set provided here may provide new opportunities to evaluate additional methods for Brucella MLVA data clustering recently proposed [34]).…”
Section: Discussionmentioning
confidence: 99%