Biophysique évolutive: intégrer la biophysique des protéines, la biologie évolutive et la génétique des populations pour prédire l'émergence de la résistance aux antibiotiques des microbes

 

Adrian  Serohijos

Université de Montréal

 

Domaine : maladies infectieuses et immunitaires

Programme Chercheurs-boursiers - Junior 1

Concours 2018-2019

Evolution is a unifying theme in the urgent medical and public health problems we face today such as cancer, the rise of antibiotic resistance, and the spread of pathogens. But the ability to predict evolution remains a major challenge because it requires bridging several layers of biological complexity. In antibiotic resistance for example, the mapping between the molecular properties of the target gene and microbial fitness (the "fitness landscape") define the potential pathways to resistance. But how the fitness landscape is explored also depends on the population dynamics of the microbes.

Antimicrobial resistance is an emerging health crisis that threatens our ability to control bacterial infections. Many of the advances in medical treatment such as organ transplants, cancer therapy, and treatment of chronic diseases such as diabetes, rheumatoid arthritis, and cystic fibrosis depend on the ability to fight infections with antibiotics. Thus, there is a practical need and challenge to understand the mechanism surrounding the evolution of antibiotic resistance. My laboratory addresses this challenge by developing a multi-scale framework for evolution that integrates protein biophysics with principles from evolutionary biology. In this proposal, our goal is to predict the near term evolution of microbial resistance against antibiotics. More broadly, the framework that we will develop can also be used to address other clinically relevant questions such as drug-resistance in cancer cells.