SubsidieMeestersEvolutionary feedback between traits and species diversification: convergence and divergence in sympatric butterflies of the Amazonian rainforest
This project investigates the evolutionary dynamics of sympatric Morpho butterflies to understand how trait diversification influences niche specialization and speciation in the Amazon.
Projectdetails
Introduction
This project will bridge gaps between micro and macro evolution by ascertaining the evolutionary feedbacks between trait and species diversification, focusing on closely-related species living in sympatry.
Research Focus
Sympatric species often differ in suites of traits involved in niche partitioning: how do ecological interactions induce the sequential evolution of series of traits? In turn, how does phenotypic divergence open up new niches and fuel sympatric speciation?
The project focuses on the neo-tropical butterfly genus Morpho, where multiple behavioural and morphological traits strikingly differ between sympatric species living in the canopy vs. understorey.
Methodology
Studying trait variations within and among these closely-related species living in sympatry allows reconstructing the evolutionary steps leading to the divergence in suites of traits linked to niche specialization.
Within the understorey clade, striking parallel geographic variations are observed among sympatric species, resulting in repeated local convergences in iridescent blue wing patterns, which may be driven by mimicry among these fast-flying, conspicuous butterflies.
Such evasive mimicry may induce costly reproductive interferences, favouring segregation of circadian activities between species and thus contributing to the speciation process.
Innovative Approaches
The project relies on the original combination of both up-to-date and field-based approaches:
- Cutting-edge phenotypic characterisation of complex traits (e.g., iridescence, flight)
- Empirical estimations of selective forces with wild butterflies
- Machine learning-based population genomics applied to demographic inferences
- Mathematical modelling of density-dependent processes with stochasticity
Expected Outcomes
These innovative approaches will shed light on unrevealed ecological interactions between species, impacting diversification of traits and species. Therefore, this project aims to bring major scientific breakthroughs and attract societal attention on biodiversity loss in Amazonia.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 1.991.768 |
| Totale projectbegroting | € 1.991.768 |
Tijdlijn
| Startdatum | 1-10-2023 |
| Einddatum | 30-9-2028 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSpenvoerder
- MUSEUM NATIONAL D'HISTOIRE NATURELLE
Land(en)
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