Descrizione del progetto
Uno studio sistemico dei percorsi metabolici nei pioppi
I pioppi sono un’importante coltura da legno e rappresentano il modello d’elezione per la ricerca molecolare negli alberi. Il progetto POPMET, finanziato dall’UE, si avvarrà di una combinazione di metabolomica e informatica per studiare i metaboliti e i percorsi biosintetici nel legno, nella corteccia e nelle foglie dei pioppi. Verranno individuati gli alleli difettivi per i geni coinvolti nel metabolismo mediante l’impiego di dati di risequenziamento provenienti da 750 pioppi. I geni verranno ulteriormente studiati incrociando alcuni pioppi naturali, che sono eterozigoti, con gli alleli difettivi o mediante editing genetico basato sulla tecnologia CRISPR/Cas9. Questo studio su ampia scala getterà le basi per effettuare ricerche in materia di biologia dei sistemi sui pioppi e creerà le opportunità per migliorare lo sviluppo di questi alberi in qualità di coltura industriale per la produzione del legno.
Obiettivo
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.
Campo scientifico
- medical and health sciencesmedical biotechnologygenetic engineeringgene therapy
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesbiological sciencesgeneticsgenomes
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsenzymes
- agricultural sciencesagriculture, forestry, and fisheriesforestry
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
ERC-ADG - Advanced GrantIstituzione ospitante
9052 ZWIJNAARDE - GENT
Belgio