EU H2020 Project "POPMET (Large-scale identification of secondary metabolites, metabolic pathways and..)": description, partecipants, costs and EC-fundings

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POPMET project word cloud

Explore the words cloud of the POPMET project. It provides you a very rough idea of what is the project "POPMET" about.

abundance metabolic sequence living genetic snps systematically biosynthetic combination time wood tool gap gwas industrial deep bark biology lack structural natural trees lay species defective combined hindering enzyme metabolite steady structure shape underpinned true experimental unknown poplars crispr encoding innovative resolving heterozygous editing impedes crop foundation alleles genes model identities molecular informatics subsequently biomass complementary cas9 predict progress assays predicted secondary association functions made crossing lab conversions structures either discovery producing enzymes cspp identification rare leaves data functional metabolomics 750 population difficult metabolites scarce effort poplar genome obtaining woody characterization gene purify content sequenced re

Project "POPMET" data sheet

The following table provides information about the project.

Coordinator	VIB VZW Organization address address: RIJVISSCHESTRAAT 120 city: ZWIJNAARDE - GENT postcode: 9052 website: www.vib.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Belgium [BE]
Total cost	2˙499˙251 €
EC max contribution	2˙499˙251 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2018-ADG
Funding Scheme	ERC-ADG
Starting year	2019
Duration (year-month-day)	from 2019-07-01 to 2024-06-30

#	participants	country	role	EC contrib. [€]
1	VIB VZW	BE (ZWIJNAARDE - GENT)	coordinator	2˙499˙251.00

VIB VZW

BE (ZWIJNAARDE - GENT)

coordinator

2˙499˙251.00

Project objective

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.

Deliverables

List of deliverables.
data management plan	Open Research Data Pilot	2020-02-12 17:34:21

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