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POPMET

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Large scale identification of secondary metabolites metabolic pathways and thei...

Large scale identification of secondary metabolites metabolic pathways and their genes in the model tree poplar Poplar is an important woody biomass crop and at the same time the model of choice for molecular research in trees. Although there is steady progress in resolving the functions of unknown genes, the identities of most secondary me... ver más

30/06/2025

VLAAMS INSTITUUT...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

VIB VZW No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2025-06-30

ERC-2018-ADG: ERC Advanced Grant Scope:Objectives

I+D

Cerrada hace 6 años

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

VLAAMS INSTITUUT BIOTECHNOL...

2.50M€ | Lider

CULTIVOS FORESTALES Y MICOLO...

152.52K€ | Participante

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Duración del proyecto: 74 meses Fecha Inicio: 2019-04-11
Fecha Fin: 2025-06-30

Líder del proyecto

VIB VZW No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Poplar is an important woody biomass crop and at the same time the model of choice for molecular research in trees. Although there is steady progress in resolving the functions of unknown genes, the identities of most secondary metabolites in poplar remain unknown. The lack of metabolite identities in experimental systems is a true gap in information content, and impedes obtaining deep insight into the complex biology of living systems. The main reason is that metabolites are difficult to purify because of their low abundance, hindering their structural characterization and the discovery of their biosynthetic pathways. In this project, we will use CSPP, an innovative method recently developed in my lab, to systematically predict the structures of metabolites along with their biosynthetic pathways in poplar wood, bark and leaves. This CSPP method is based on a combination of metabolomics and informatics. In a next step, the CSPP tool will be combined with two complementary genetic approaches based on re-sequence data from 750 poplar trees to identify the genes encoding the enzymes in the predicted pathways. Genome Wide Association Studies (GWAS) will be made to identify SNPs in the genes involved in the metabolic conversions. Subsequently, rare defective alleles will be identified for these genes in the sequenced population. Genes identified by both approaches will then be further studied either by crossing natural poplars that are heterozygous for the defective alleles, or by CRISPR/Cas9-based gene editing in poplar. The functional studies will be further underpinned by enzyme assays. Given our scarce knowledge on the structure of most secondary metabolites and their metabolic pathways in poplar, this large-scale identification effort will lay the foundation for systems biology research in this species, and will shape opportunities to further develop poplar as an industrial wood-producing crop.

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