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Biological variation of Vanilla planifolia leaf metabolome
Authors:Tony Lionel Palama  Isabelle Fock  Young Hae Choi  Robert Verpoorte  Hippolyte Kodja
Institution:1. UMR C53 – Peuplements Végétaux et Bioagresseurs en Milieu Tropical, Faculté des Sciences et Technologies, Université de La Réunion, 15 avenue René Cassin, B.P. 7151, 97715 Saint Denis Messag, Cedex 9, La Réunion, France;2. Division of Pharmacognosy, Section Metabolomics, Institute of Biology, Leiden University, P.O. Box 9502, 2333 CC Leiden, The Netherlands
Abstract:The metabolomic analysis of Vanilla planifolia leaves collected at different developmental stages was carried out using 1H-nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis in order to evaluate their variation. Ontogenic changes of the metabolome were considered since leaves of different ages were collected at two different times of the day and in two different seasons. Principal component analysis (PCA) and partial least square modeling discriminate analysis (PLS-DA) of 1H NMR data provided a clear separation according to leaf age, time of the day and season of collection. Young leaves were found to have higher levels of glucose, bis4-(β-d-glucopyranosyloxy)-benzyl]-2-isopropyltartrate (glucoside A) and bis4-(β-d-glucopyranosyloxy)-benzyl]-2-(2-butyl)-tartrate (glucoside B), whereas older leaves had more sucrose, acetic acid, homocitric acid and malic acid. Results obtained from PLS-DA analysis showed that leaves collected in March 2008 had higher levels of glucosides A and B as compared to those collected in August 2007. However, the relative standard deviation (RSD) exhibited by the individual values of glucosides A and B showed that those compounds vary more according to their developmental stage (50%) than to the time of day or the season in which they were collected (19%). Although morphological variations of the V. planifolia accessions were observed, no clear separation of the accessions was determined from the analysis of the NMR spectra. The results obtained in this study, show that this method based on the use of 1H NMR spectroscopy in combination with multivariate analysis has a great potential for further applications in the study of vanilla leaf metabolome.
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