Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/20417
Título: Integrating metabolomics and targeted gene expression to uncover potential biomarkers of fungal/oomycetes-associated disease susceptibility in grapevine
Autor: Maia, Marisa
Ferreira, António E.N.
Nascimento, Rui
Monteiro, Filipa
Traquete, Francisco
Marques, Ana P.
Cunha, Jorge
Eiras-Dias, José E.
Cordeiro, Carlos
Figueiredo, Andreia
Silva, Marta Sousa
Palavras-chave: grapevine
Vitis vinifera
metabolomics
gene expression
disease susceptibility
Data: 2020
Editora: Nature Publishing Group
Citação: Scientific Reports (2020) 10:15688
Resumo: Vitis 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 programs
Peer review: yes
URI: http://hdl.handle.net/10400.5/20417
DOI: https://doi.org/10.1038/s41598-020-72781-2
Versão do Editor: www.nature.com/scientificreports
Aparece nas colecções:ISA - Artigos em Revistas Internacionais

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