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Quantifying Evolution: a platform for the synthetic evolution of molecular ecosystems (Q-EVO)

Project
Among the fundamental processes governing Nature, evolution is one of the most thoroughlAmong the fundamental processes governing Nature, evolution is one of the most thoroughly described and less formalized. The grand goal of describing evolution via clean universal laws is made difficult by the inherent complexity of both the biological systems and the available experimental models, which generally involve a large number of potentially relevant variables of difficult quantification. This project is built around the Affinity-based DNA Synthetic Evolution (ADSE) platform, an experimental strategy to generate and study evolution at a molecular level that enables full quantitative description of the eco-evolutionary processes. ADSE is inspired by the in-vitro molecular selection protocol “SELEX” and enables observing the evolution across generations of large populations of DNA oligomers whose identity is given by their sequence. The key innovation is that here evolutionary mechanisms and ecological interactions (selection of the fittest, resource gathering capacity, parasitism, mutualism etc…) are given by molecular interactions based on DNA-DNA hybridization, a process that is well known and predictable from sequences. Q-EVO is based on a combination of ADSE with an innovative array-based biosensor, approaches of data science and notions of theoretical ecology. Q-EVO aims at providing a (still missing) quantitative description of the key concepts of fitness and speciation, and of the relationship between a given environment and the evolution of its ecosystem. I propose a program capable to produce hundreds of parallel evolutions for tens of generations exploring a vast variety of conditions. Raw data, formed by hundreds of millions of reads, will be analysed to follow population dynamics, extract phylogenetic paths, parametrizing the network of ecological interactions (e.g. competitors, mutualists, parasites) and will be made public in a repository created ad hoc.
  • Overview
  • Research Areas

Overview

Contributors

BELLINI TOMMASO GIOVANNI   Scientific Manager  

Departments involved

Dipartimento di Biotecnologie Mediche e Medicina Traslazionale   Principale  

Type

Horizon Europe - European Research Council (ERC)

Funder

EUROPEAN COMMISSION
External Organization Funding Organization

Date/time interval

February 1, 2026 - January 31, 2031

Project duration

60 months

Research Areas

Concepts


Settore PHYS-06/A - Fisica per le scienze della vita, l'ambiente e i beni culturali
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