CoEvoLens: Disentangling the microevolutionary mechanisms of coevolution

Coevolution, characterized by reciprocal trait changes driven by mutual selection between interacting species, is pivotal in shaping biodiversity.

However, understanding the genetic basis and mechanistic processes underlying coevolution in natural populations remains challenging.

This project aims to bridge this gap and connect coevolutionary theory to empirical data by using the well-established Lithophragma-Greya moth pollination system as a study model.

By identifying and quantifying the genetic variance of key traits mediating this interaction, we will assess their potential to evolve, a critical aspect in coevolutionary dynamics.

Additionally, we will investigate natural selection in this system, considering both female (seed set) and male (siring success) fitness components, and examine how ecological context, including the presence of copollinators, affects selection.

We will employ ecological network analysis and interaction effectiveness measurements to determine the significance of specific interactions in driving coevolutionary processes.

This research will enhance our understanding of the genetic underpinnings and ecological factors influencing trait coevolution in pollination interactions, shedding light on the evolutionary dynamics within complex ecological networks.

CoEvoLens will provide valuable insights into a species’ ability to adapt to a changing world, where the loss of species interactions is a major concern.