NMR techniques coupled with multivariate statistical analysis: Tools to analyse Oryza sativa metabolic content under stress conditions

E. Fumagalli, E. Baldoni, P. Abbruscato, P. Piffanelli, A. Genga, R. Lamanna, R. Consonni

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Abstract

Rice (Oryza sativa L.) is one of the most important crops in the world and its growth is influenced by several environmental stresses, such as drought and high salinity. In our study, we first investigated the metabolic profile in shoots and roots of two rice cultivars (Arborio and Nipponbare) through1H-high-resolution magic angle spinning (HR MAS) and liquid-state nuclear magnetic resonance (NMR) experiments. Drought and salt stress experiments on shoot and root growth showed Arborio seedlings to be more sensitive than those of Nipponbare to these abiotic stresses. Moreover, the metabolic content of the same samples was analysed by liquid-state NMR coupled with multivariate statistical analysis. Principal component analysis highlighted a significant accumulation of amino acids and sugars in shoots and roots under stress conditions and the existence of clear differences between the two analysed rice cultivars. In particular, Arborio seedlings accumulated a higher concentration of amino acids and sugars than Nipponbare seedlings. Furthermore, we also obtained preliminary data about metabolic changes in rice following infection with the fungus Magnaporthe grisea. This study proves that NMR technique coupled with multivariate statistical analysis is a powerful tool to assess a possible correlation between differences in metabolic profile and in tolerance/sensitivity phenotype in rice cultivars. © 2009 The Authors.
Original languageEnglish
Pages (from-to)77 - 88
Number of pages12
JournalJournal of Agronomy and Crop Science
Volume195
Issue number2
DOIs
Publication statusPublished - Apr 2009
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Plant Science

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