Dataset Information

Rauvolfia tetraphylla latex proteome

ABSTRACT: 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 transcriptomics and genome sequencing of Rauvolfia tetraphylla with machine learning to discover the unexpected multiple actors of this natural product's 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.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Rauvolfia Tetraphylla

TISSUE(S): Latex

SUBMITTER: Clément Cuello

LAB HEAD: Vincent Courdavault

PROVIDER: PXD046315 | Pride | 2024-01-26

REPOSITORIES: Pride

ACCESS DATA

Publications

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

Stander Emily Amor EA Lehka Beata B Carqueijeiro Inês I Cuello Clément C Hansson Frederik G FG Jansen Hans J HJ Dugé De Bernonville Thomas T Birer Williams Caroline C Vergès Valentin V Lezin Enzo E Lorensen Marcus Daniel Brandbjerg Bohn MDBB Dang Thu-Thuy TT Oudin Audrey A Lanoue Arnaud A Durand Mickael M Giglioli-Guivarc'h Nathalie N Janfelt Christian C Papon Nicolas N Dirks Ron P RP O'connor Sarah Ellen SE Jensen Michael Krogh MK Besseau Sébastien S Courdavault Vincent V

Communications biology 20231124 1

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 pro ...[more]

PMID: 38001233

Similar Datasets

Project description:Here we performed a transcriptomic study on complete symptom development process of CMV-infected Nicotiana tabacum using Solexa/Illumina's high-throughput digital gene expression (DGE) system. 12 DGE libraries (from six virus-infected samples and six corresponding mock-inoculated samples) were constructed, and the gene expression variations between the virus-infected sample and the mock-inoculated sample in each symptom stage were compared. Thousands of differentially expressed genes were obtained by the comparison, and KEGG pathway analysis of these genes suggested that many biological processes (such as phtosynthesis, pigment metabolism and plant-pathogen interaction) were related to the symptom development. The authenticity of the DGE data was further confirmed by analyzing real-time RT-PCR using several random-selected genes. We sequenced a cDNA library constructed from mixture of total RNA from six virus-infected samples and six mock-inoculated samples to get gene information for tobacco leaves in different symptom stages, including vein clearing, mosaic, severe chlorosis, partial recovery, total recovery and re-mosaic, and 95,916 Unigenes were obtained Tobacco leaves were inoculated by CMV-infected leaf homogenate and healthy leaf homogenate, respectivley. Six time points with different symptom stage were selected, and one virus-infect sample and one mock-inoculated sample were collected at each time. In order to average out variation of different plants, five leaves from five different plants were mixed to prepare every RNA sample. Twelve individual tag libraries of samples (six infected samples and six mock-inoculated samples) were constructed in parallel. For the gene expression analysis, the twelve samples were grouped into six groups, and each group contained a virus-infected sample and a mock-inoculated sample collected at the same time. In each group, the DGE data of virus-infected sample were compared to that of mock-inoculated sample to obtain the gene expression variations. Illumina sequencing of transcripts from virus-infected and mock-inoculated samples to get gene information for tobacco leaves in different symptom stages. In order to get more gene information, the systemically infected leaves and mock-inoculated leaves were harvested at six time points and five leaves from five different plants were collected at each time point. The RNA-Seq analysis provided gene information for mock-inoculated and virus-infected tobacco leaves in different symptom stages.

Dataset Information

Rauvolfia tetraphylla latex proteome

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure