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Evolutionary feedback between traits and species diversification: convergence and divergence in sympatric butterflies of the Amazonian rainforest

Project description

Unravelling sympatric speciation in morpho butterflies

How do closely related species living in sympatry develop distinct traits and undergo speciation? The neo-tropical butterfly genus Morpho may help us answer this question. It exhibits remarkable variations in behavioural and morphological traits among sympatric species living in the canopy and understorey. However, understanding the ecological interactions that trigger the sequential evolution of these traits and fuel sympatric speciation remains a challenge. With this in mind, the ERC-funded OUTOFTHEBLUE project will study trait variations within and among sympatric species. It employs cutting-edge phenotypic characterisation, empirical estimations of selective forces with wild butterflies, machine learning-based population genomics and mathematical modelling. This approach will enable to reconstruct the evolutionary steps leading to niche specialisation and the emergence of new species.

Objective

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. 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. 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, that 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. The project relies on the original combination of both up-to-date and field-based approaches: (1) cutting-edge phenotypic characterisation of complex traits (eg. iridescence, flight) (2) empirical estimations of selective forces with wild butterflies (3) machine learning-based population genomics applied to demographic inferences (4) and mathematical modelling of density-dependent processes with stochasticity. These innovative approaches will shed light on unrevealed ecological interactions between species, impacting diversification of traits and species, therefore bringing major scientific breakthrough and attracting society attention on biodiversity loss in Amazonia.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2022-COG

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Host institution

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 804 708,19
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 991 768,00

Beneficiaries (2)

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