Affiliation:
1. Departamento de Fitotecnia Universidade Federal do Ceará CE Brasil
2. Laboratório de Metabolômica/LADETEC Instituto de Química, Universidade Federal do Rio de Janeiro Brasil
3. Unidade Proteômica, Departamento de Bioquímica Instituto de Química, Universidade Federal do Rio de Janeiro RJ Brasil
4. Departamento de Bioquímica e Biologia Molecular Universidade Federal do Ceará CE Brasil
5. Laboratório de Proteômica/LADETEC Instituto de Química, Universidade Federal do Rio de Janeiro RJ Brasil
Abstract
AbstractAimsPhorbol esters (PE) are toxic diterpenoids accumulated in physic nut (Jatropha curcas L.) seed tissues. Their biosynthetic pathway remains unknown, and the participation of roots in this process may be possible. Thus, we set out to study the deposition pattern of PE and other terpenoids in roots and leaves of genotypes with detected (DPE) and not detected (NPE) phorbol esters based on previous studies.Outline of data resourcesWe analyzed physic nut leaf and root organic extracts using LC‐HRMS. By an untargeted metabolomics approach, it was possible to annotate 496 and 146 metabolites in the positive and negative electrospray ionization modes, respectively.Key resultsPE were detected only in samples of the DPE genotype. Remarkably, PE were found in both leaves and roots, making this study the first report of PE in J. curcas roots. Furthermore, untargeted metabolomic analysis revealed that diterpenoids and apocarotenoids are preferentially accumulated in the DPE genotype in comparison with NPE, which may be linked to the divergence between the genotypes concerning PE biosynthesis, since sesquiterpenoids showed greater abundance in the NPE.Utility of the resourceThe LC‐HRMS files, publicly available in the MassIVE database (identifier MSV000092920), are valuable as they expand our understanding of PE biosynthesis, which can assist in the development of molecular strategies to reduce PE levels in toxic genotypes, making possible the food use of the seedcake, as well as its potential to contain high‐quality spectral information about several other metabolites that may possess biological activity.
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