Applying the ResFinder and VirulenceFinder web-services for easy identification of acquired antibiotic resistance and E. coli virulence genes in bacteriophage and …
KA Kleinheinz, KG Joensen, MV Larsen - Bacteriophage, 2014 - Taylor & Francis
KA Kleinheinz, KG Joensen, MV Larsen
Bacteriophage, 2014•Taylor & FrancisExtensive research is currently being conducted on the use of bacteriophages for
applications in human medicine, agriculture and food manufacturing. However, phages are
important vehicles of horisontal gene transfer and play a significant role in bacterial
evolution. As a result, concern has been raised that this increased use and dissemination of
phages could result in spread of deleterious genes, eg, antibiotic resistance and virulence
genes. Meanwhile, in the wake of the genomic era, several tools have been developed for …
applications in human medicine, agriculture and food manufacturing. However, phages are
important vehicles of horisontal gene transfer and play a significant role in bacterial
evolution. As a result, concern has been raised that this increased use and dissemination of
phages could result in spread of deleterious genes, eg, antibiotic resistance and virulence
genes. Meanwhile, in the wake of the genomic era, several tools have been developed for …
Extensive research is currently being conducted on the use of bacteriophages for applications in human medicine, agriculture and food manufacturing. However, phages are important vehicles of horisontal gene transfer and play a significant role in bacterial evolution. As a result, concern has been raised that this increased use and dissemination of phages could result in spread of deleterious genes, e.g., antibiotic resistance and virulence genes.
Meanwhile, in the wake of the genomic era, several tools have been developed for characterization of bacterial genomes. Here we describe how two of these tools, ResFinder and VirulenceFinder, can be used to identify acquired antibiotic resistance and virulence genes in phage genomes of interest. The general applicability of the tools is demonstrated on data sets of 1,642 phage genomes and 1,442 predicted prophages.
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