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MedForAct

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Unveiling convergent adaptation in Mediterranean pines to inform a new tool for...

Unveiling convergent adaptation in Mediterranean pines to inform a new tool for the management of forest genomic resources The impact of climate change on forest species is predicted to be dramatic due to the insurgence of adaptive lags between the current genetic make-up of populations and the newly established climatic conditions. The consequent dis... ver más

31/05/2025

CNR

173K€

Presupuesto del proyecto: 173K€

Líder del proyecto

CONSIGLIO NAZIONALE DELLE RICERCHE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-06

HORIZON-MSCA-2022-PF-01-01: MSCA Postdoctoral Fellowships 2022 ExpectedOutcome:

I+D

Cerrada hace 2 años

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1 Participantes

CNR

172.75K€ | Lider

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Duración del proyecto: 25 meses Fecha Inicio: 2023-04-06
Fecha Fin: 2025-05-31

Líder del proyecto

CONSIGLIO NAZIONALE DELLE RICERCHE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 173K€

Descripción del proyecto The impact of climate change on forest species is predicted to be dramatic due to the insurgence of adaptive lags between the current genetic make-up of populations and the newly established climatic conditions. The consequent disruption of local adaptation is of concern as plants may not be able to readapt or migrate fast enough, which could inflate genetic erosion, eradication and extinction. Ongoing conservation efforts are currently devoted to the characterization of forest genetic resources, with the aim of maximising adaptive potentials and increasing the chance for forests to tackle future conditions. Here, MedForAct will focus on three iconic pine species native to the Mediterranean basin (Pinus halepensis, P. pinaster and P. pinea) to identify a core set of genes and gene networks that may have fostered their convergent adaptation in the face of compelling ecological challenges and despite million years of independent evolution. To tackle this challenge, the project will use a newly produced genomic dataset composed of c. 800 individuals genotyped at c. 100K SNPs representing both neutral and adaptive variation. Detecting signatures of convergent adaptation could highlight the adaptive potential of these species, with implications for the development of genomic-informed management strategies and setting conservation priorities based on predicted climate change scenarios. Following this, MedForAct envisages using the detected top-ranked candidates to develop a new software for forest management, with the aim of providing forest managers with a practical means of implementing targeted reforestation approaches by monitoring the expected adaptive lag of populations using genomics and future climatic predictions.

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