HGTCODONUSE SIGNED
The evolutionary significance of synonymous variations: Can codon usage preferences drive the propagation of antibiotic resistance?
Total Cost €
0EC-Contrib. €
0Partnership
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Project "HGTCODONUSE" data sheet
The following table provides information about the project.
| Coordinator |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Organization address contact info |
| Coordinator Country | France [FR] |
| Project website | https://www.cefe.cnrs.fr/fr/recherche/ee/gee/800-c/2721-stephanie-bedhomme |
| Total cost | 1˙992˙366 € |
| EC max contribution | 1˙992˙366 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2015-CoG |
| Funding Scheme | ERC-COG |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-06-01 to 2021-05-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | coordinator | 1˙992˙366.00 |
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Project objective
The intensive use of antibiotics provided an unprecedented improvement in infectious disease treatments but at the expense of creating ideal conditions for the selection of widespread resistance. Propagation of antibiotic resistances is favoured by horizontal gene transfer and by bacterial life in multispecies community. However, compositions of resistome and bacterial communities are often correlated, suggesting that propagation of resistances does not occur at random. This project will test the hypothesis that mismatch in codon preferences between the transferred genes and the receiving genome is a fundamental factor shaping resistome structure and evolution. Such central role of codon preferences may have been hitherto overlooked. The project combines mutant collection characterization, experimental evolution approaches –one in a multispecies context and one in a variable environment context-, full genome sequencing of evolved populations, phylogenomics and mathematical modelling integrating the experimental results of the other approaches, and generating a predictive tool about the evolutionary outcome of various real-life situations.
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