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The Rauvolfia tetraphylla genome suggests multiple distinct biosynthetic routes for yohimbane monoterpene indole alkaloids.

Emily Amor StanderBeata LehkaInês CarqueijeiroClément CuelloFrederik G HanssonHans J JansenThomas Dugé De BernonvilleCaroline Birer WilliamsValentin VergèsEnzo LezinMarcus Daniel Brandbjerg Bohn LorensenThu-Thuy T DangAudrey OudinArnaud LanoueMickaël DurandNathalie Giglioli-Guivarc'hChristian JanfeltNicolas PaponRon P DirksSarah Ellen O'connorMichael Krogh JensenSébastien BesseauVincent Courdavault
Published in: Communications biology (2023)
Monoterpene indole alkaloids (MIAs) are a structurally diverse family of specialized metabolites mainly produced in Gentianales to cope with environmental challenges. Due to their pharmacological properties, the biosynthetic modalities of several MIA types have been elucidated but not that of the yohimbanes. Here, we combine metabolomics, proteomics, transcriptomics and genome sequencing of Rauvolfia tetraphylla with machine learning to discover the unexpected multiple actors of this natural product synthesis. We identify a medium chain dehydrogenase/reductase (MDR) that produces a mixture of four diastereomers of yohimbanes including the well-known yohimbine and rauwolscine. In addition to this multifunctional yohimbane synthase (YOS), an MDR synthesizing mainly heteroyohimbanes and the short chain dehydrogenase vitrosamine synthase also display a yohimbane synthase side activity. Lastly, we establish that the combination of geissoschizine synthase with at least three other MDRs also produces a yohimbane mixture thus shedding light on the complex mechanisms evolved for the synthesis of these plant bioactives.
Keyphrases
  • machine learning
  • multidrug resistant
  • mass spectrometry
  • single cell
  • genome wide
  • dna methylation
  • deep learning
  • climate change
  • metal organic framework
  • high throughput sequencing