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Optimization and historical contingency in living systems: a biophysical approach

Objective

Populations of living organisms are pushed to optimality by evolution, but may also be shaped by the contingency of their evolutionary history. The recent explosion of sequence data gives us access to the outcomes of molecular evolution, and controlled microbial evolution experiments allow us to analyze the predictability of evolution. In this exciting context, I aim to explore quantitatively the importance of optimization and contingency both at the molecular scale and at the scale of populations of microorganisms, using a theoretical biophysical approach.

First, I will assess how functional optimization and evolutionary history, i.e. phylogeny, shape protein sequences. Importantly, correlations arising from phylogeny are a double-edged sword, often confounding signal from functional optimization, but sometimes providing useful complementary information. I will improve sequence-based predictions for protein-protein interactions by exploiting information both from phylogeny and from the required complementarity of interacting residues. I will disentangle the collective modes of correlations in protein sequences due to optimization from those due to phylogeny, and investigate the importance of functional sectors as an organizing principle of proteins. This will be a breakthrough in our understanding of the sequence-function relationship of proteins.

Second, I will analyze the impact of optimization and contingency on the evolution of microbial populations. I will study microorganisms with a rugged fitness landscape presenting several optima. In these realistic cases, populations tend to remain trapped in local optima. However, most real populations possess specific geographic structures. I will quantitatively study how structure helps populations to explore model and real rugged fitness landscapes. I will build a universal model of structured populations. I will then focus on important applications to antimicrobial resistance evolution and to expanding populations.

Field of science

  • /natural sciences/biological sciences/biological morphology/comparative morphology
  • /natural sciences/biological sciences/molecular biology/molecular evolution
  • /humanities/history and archaeology/history
  • /medical and health sciences/basic medicine/pharmacology and pharmacy/drug resistance/antibiotic resistance

Call for proposal

ERC-2019-STG
See other projects for this call

Funding Scheme

ERC-STG - Starting Grant
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Host institution

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Address
Batiment Ce 3316 Station 1
1015 Lausanne
Switzerland
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 498 214

Beneficiaries (1)

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
EU contribution
€ 1 498 214
Address
Batiment Ce 3316 Station 1
1015 Lausanne
Activity type
Higher or Secondary Education Establishments