Genotyping MRSA Isolates Using MLVA

All MRSA isolates were genotyped by multiple-locus variable number of tandem repeat analysis (MLVA) by the Dutch National Reference Center (RIVM, Bilthoven, the Netherlands) [30] (link). MLVA is known for its higher discriminatory power for LA-MRSA strains as compared to either multilocus sequence typing (MLST) or pulsed-field gel electrophoresis (PFGE) [30] (link). The MLVA profiles were clustered using a categorical clustering coefficient (unweighted-pair group method using arithmetic averages, UPGMA) and a minimum spanning tree was constructed to display the relationships between the various MLVA complexes (MC) and MRSA sources. For this study, we incorporated phiSa3 into the MLVA scheme. Furthermore, tetM was determined by use of DNA microarray (Identibac S. aureus Genotyping, Alere).

Free full text: Click here

van Rijen M.M., Bosch T., Verkade E.J., Schouls L, & Kluytmans J.A. (2014). Livestock-Associated MRSA Carriage in Patients without Direct Contact with Livestock. PLoS ONE, 9(6), e100294.

Publication 2014

Identibac S. aureus Genotyping

Dna microarray Mrsa Pulsed field gel electrophoresis Strains Tree Variable number of tandem repeat

Corresponding Organization : Amsterdam UMC Location VUmc

Top 5 similar protocols

Variable analysis

independent variables

Multiple-locus variable number of tandem repeat analysis (MLVA) technique
Incorporation of phiSa3 into the MLVA scheme
Determination of tetM by DNA microarray (Identibac S. aureus Genotyping, Alere)

dependent variables

MLVA profiles of MRSA isolates
Clustering of MLVA profiles using categorical clustering coefficient (UPGMA)
Construction of minimum spanning tree to display relationships between MLVA complexes (MC) and MRSA sources

control variables

All MRSA isolates were genotyped by the Dutch National Reference Center (RIVM, Bilthoven, the Netherlands)

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!