Semi-Quantitative Targeted Gas Chromatography-Mass Spectrometry Profiling Supports a Late Side-Chain Reductase Cycloartenol-to-Cholesterol Biosynthesis Pathway in Brown Algae.

biosynthesis pathway evolution brown alga gas chromatography-mass spectrometry side-chain reduction sterol

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2021
Historique:
received: 31 12 2020
accepted: 06 04 2021
entrez: 14 5 2021
pubmed: 15 5 2021
medline: 15 5 2021
Statut: epublish

Résumé

Sterols are biologically important molecules that serve as membrane fluidity regulators and precursors of signaling molecules, either endogenous or involved in biotic interactions. There is currently no model of their biosynthesis pathways in brown algae. Here, we benefit from the availability of genome data and gas chromatography-mass spectrometry (GC-MS) sterol profiling using a database of internal standards to build such a model. We expand the set of identified sterols in 11 species of red, brown, and green macroalgae and integrate these new data with genomic data. Our analyses suggest that some metabolic reactions may be conserved despite the loss of canonical eukaryotic enzymes, like the sterol side-chain reductase (SSR). Our findings are consistent with the principle of metabolic pathway drift through enzymatic replacement and show that cholesterol synthesis from cycloartenol may be a widespread but variable pathway among chlorophyllian eukaryotes. Among the factors contributing to this variability, one could be the recruitment of cholesterol biosynthetic intermediates to make signaling molecules, such as the mozukulins. These compounds were found in some brown algae belonging to Ectocarpales, and we here provide a first mozukulin biosynthetic model. Our results demonstrate that integrative approaches can already be used to infer experimentally testable models, which will be useful to further investigate the biological roles of those newly identified algal pathways.

Identifiants

pubmed: 33986764
doi: 10.3389/fpls.2021.648426
pmc: PMC8112355
doi:

Types de publication

Journal Article

Langues

eng

Pagination

648426

Informations de copyright

Copyright © 2021 Girard, Lanneau, Delage, Leroux, Belcour, Got, Collén, Boyen, Siegel, Dittami, Leblanc and Markov.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Jean Girard (J)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Goulven Lanneau (G)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.
CNRS, Plateforme Corsaire-METABOMER (FR2424), Station Biologique de Roscoff, Sorbonne Université, Roscoff, France.

Ludovic Delage (L)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Cédric Leroux (C)

CNRS, Plateforme Corsaire-METABOMER (FR2424), Station Biologique de Roscoff, Sorbonne Université, Roscoff, France.

Arnaud Belcour (A)

Univ Rennes, Inria, CNRS, IRISA, Equipe Dyliss, Rennes, France.

Jeanne Got (J)

Univ Rennes, Inria, CNRS, IRISA, Equipe Dyliss, Rennes, France.

Jonas Collén (J)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Catherine Boyen (C)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Anne Siegel (A)

Univ Rennes, Inria, CNRS, IRISA, Equipe Dyliss, Rennes, France.

Simon M Dittami (SM)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Catherine Leblanc (C)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Gabriel V Markov (GV)

CNRS, Integrative Biology of Marine Models (LBI2M, UMR8227), Station Biologique de Roscoff (SBR), Sorbonne Université, Roscoff, France.

Classifications MeSH