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Untargeted Metabolomic Analysis of Leaves and Roots of Jatropha curcas Genotypes with Contrasting Levels of Phorbol Esters
被引:1
|作者:
Neto, Domingos F. M.
[1
]
Garrett, Rafael
[2
]
Domont, Gilberto B.
[3
]
Campos, Francisco A. P.
[4
]
Nogueira, Fabio C. S.
[3
,5
]
机构:
[1] Univ Fed Ceara, Dept Fitotecnia, Fortaleza, CE, Brazil
[2] Univ Fed Rio Janeiro, Lab Metabol, LADETEC, Inst Quim, Rio De Janeiro, Brazil
[3] Univ Fed Rio Janeiro, Dept Bioquim, Unidade Prote, Inst Quim, Rio De Janeiro, RJ, Brazil
[4] Univ Fed Ceara, Dept Bioquim & Biol Mol, Fortaleza, CE, Brazil
[5] Univ Fed Rio Janeiro, Lab Prote, LADETEC, Inst Quim, Univ Fed Rio Janeiro, RJ, Brazil
关键词:
PROTEOME ANALYSIS;
INNER INTEGUMENT;
DEVELOPING SEEDS;
L;
BIOSYNTHESIS;
DIVERSITY;
D O I:
10.1111/ppl.14274
中图分类号:
Q94 [植物学];
学科分类号:
071001 ;
摘要:
Aims: Phorbol 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 resources: We 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 results: PE 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 resource: The 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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