Thesis supervisor: Bálint Kintses
Location of studies (in Hungarian): Biological Research Centre Abbreviation of location of studies: SZBK
Description of the research topic:
The majority of current resistance problems encountered in clinical practice start with the mobilisation of antibiotic resistance genes (ARGs) from the environment into clinical pathogens. Therefore, the pace at which a novel antibiotic will face resistance largely depends on how widespread the ARGs are and how easily they can be mobilised into the target bacteria to compromise the effect of the antibiotic. However, when it comes to antibiotics that are new on the market, we have little prior knowledge on which ARGs are going to be active against them. Such ARGs are usually spotted by clinicians when they have already become widespread among clinical pathogens. The PhD student will use a novel experimental method called DEEPMINE to functionally annotate ARGs. As a proof of concept study, we are going to investigate a diverse set of One Health settings for the potential to provide ARGs against future antibiotics for human use – those that are currently in clinical development. The pipeline will provide accurate assessments of the risks and possible routes of emerging resistance. The ultimate goal is to inform world-wide genomic surveillance efforts on how to better track the emergence and spread of resistance.
Required language skills: english intermediate Further requirements: relevant experience in molecular biology and microbiology
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