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Integrating metabolomics and targeted gene expression to uncover potential biomarkers of fungal/oomycetes-associated disease susceptibility in grapevine

2020Journal article Open access
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dc.contributor.authorMaia, Marisa
dc.contributor.authorFerreira, António E.N.
dc.contributor.authorNascimento, Rui
dc.contributor.authorMonteiro, Filipa
dc.contributor.authorTraquete, Francisco
dc.contributor.authorMarques, Ana P.
dc.contributor.authorCunha, Jorge
dc.contributor.authorEiras-Dias, José E.
dc.contributor.authorCordeiro, Carlos
dc.contributor.authorFigueiredo, Andreia
dc.contributor.authorSilva, Marta Sousa
dc.date.accessioned2020-10-01T10:34:23Z
dc.date.available2020-10-01T10:34:23Z
dc.date.issued2020
dc.description.abstractVitis vinifera, one of the most cultivated fruit crops, is susceptible to several diseases particularly caused by fungus and oomycete pathogens. In contrast, other Vitis species (American, Asian) display different degrees of tolerance/resistance to these pathogens, being widely used in breeding programs to introgress resistance traits in elite V. vinifera cultivars. Secondary metabolites are important players in plant defence responses. Therefore, the characterization of the metabolic profiles associated with disease resistance and susceptibility traits in grapevine is a promising approach to identify trait-related biomarkers. In this work, the leaf metabolic composition of eleven Vitis genotypes was analysed using an untargeted metabolomics approach. A total of 190 putative metabolites were found to discriminate resistant/partial resistant from susceptible genotypes. The biological relevance of discriminative compounds was assessed by pathway analysis. Several compounds were selected as promising biomarkers and the expression of genes coding for enzymes associated with their metabolic pathways was analysed. Reference genes for these grapevine genotypes were established for normalisation of candidate gene expression. The leucoanthocyanidin reductase 2 gene (LAR2) presented a significant increase of expression in susceptible genotypes, in accordance with catechin accumulation in this analysis group. Up to our knowledge this is the first time that metabolic constitutive biomarkers are proposed, opening new insights into plant selection on breeding programspt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationScientific Reports (2020) 10:15688pt_PT
dc.identifier.doihttps://doi.org/10.1038/s41598-020-72781-2pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/20417
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNature Publishing Grouppt_PT
dc.relation.publisherversionwww.nature.com/scientificreportspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectgrapevinept_PT
dc.subjectVitis viniferapt_PT
dc.subjectmetabolomicspt_PT
dc.subjectgene expressionpt_PT
dc.subjectdisease susceptibilitypt_PT
dc.titleIntegrating metabolomics and targeted gene expression to uncover potential biomarkers of fungal/oomycetes-associated disease susceptibility in grapevinept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleScientific Reportspt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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