Next Article in Journal
The Nutritional Value of Non-Traditional Gluten-Free Flakes and Their Antioxidant Activity
Next Article in Special Issue
In-Vitro Antioxidant Properties of Lipophilic Antioxidant Compounds from 3 Brown Seaweed
Previous Article in Journal
The Influence of In Vitro Gastrointestinal Digestion on the Chemical Composition and Antioxidant and Enzyme Inhibitory Capacities of Carob Liqueurs Obtained with Different Elaboration Techniques
Previous Article in Special Issue
Promises and Challenges of Microalgal Antioxidant Production
Open AccessArticle

Genome–Scale Metabolic Networks Shed Light on the Carotenoid Biosynthesis Pathway in the Brown Algae Saccharina japonica and Cladosiphon okamuranus

1
Sorbonne Université, CNRS, Integrative Biology of Marine Models (LBI2M), Station Biologique de Roscoff (SBR), 29680 Roscoff, France
2
Sorbonne Université, CNRS, Plateforme ABiMS (FR2424), Station Biologique de Roscoff, 29680 Roscoff, France
3
Groupe Mer, Molécules, Santé-EA 2160, UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes, 9, Rue Bias, 44035 Nantes, France
4
Université de Rennes 1, Institute for Research in IT and Random Systems (IRISA), Equipe Dyliss, 35052 Rennes, France
5
Quadram Institute, Colney Lane, Norwich NR4 7UQ, UK
*
Author to whom correspondence should be addressed.
Antioxidants 2019, 8(11), 564; https://doi.org/10.3390/antiox8110564
Received: 14 October 2019 / Revised: 13 November 2019 / Accepted: 15 November 2019 / Published: 16 November 2019
(This article belongs to the Special Issue Marine Algal Antioxidants)
Understanding growth mechanisms in brown algae is a current scientific and economic challenge that can benefit from the modeling of their metabolic networks. The sequencing of the genomes of Saccharina japonica and Cladosiphon okamuranus has provided the necessary data for the reconstruction of Genome–Scale Metabolic Networks (GSMNs). The same in silico method deployed for the GSMN reconstruction of Ectocarpus siliculosus to investigate the metabolic capabilities of these two algae, was used. Integrating metabolic profiling data from the literature, we provided functional GSMNs composed of an average of 2230 metabolites and 3370 reactions. Based on these GSMNs and previously published work, we propose a model for the biosynthetic pathways of the main carotenoids in these two algae. We highlight, on the one hand, the reactions and enzymes that have been preserved through evolution and, on the other hand, the specificities related to brown algae. Our data further indicate that, if abscisic acid is produced by Saccharina japonica, its biosynthesis pathway seems to be different in its final steps from that described in land plants. Thus, our work illustrates the potential of GSMNs reconstructions for formalizing hypotheses that can be further tested using targeted biochemical approaches. View Full-Text
Keywords: genome–scale metabolic networks (GSMNs), data integration; brown algae; oxygenated carotenoid biosynthesis; fucoxanthin; abscisic acid; Saccharina japonica; Cladosiphon okamuranus genome–scale metabolic networks (GSMNs), data integration; brown algae; oxygenated carotenoid biosynthesis; fucoxanthin; abscisic acid; Saccharina japonica; Cladosiphon okamuranus
Show Figures

Graphical abstract

MDPI and ACS Style

Nègre, D.; Aite, M.; Belcour, A.; Frioux, C.; Brillet-Guéguen, L.; Liu, X.; Bordron, P.; Godfroy, O.; Lipinska, A.P.; Leblanc, C.; Siegel, A.; Dittami, S.M.; Corre, E.; Markov, G.V. Genome–Scale Metabolic Networks Shed Light on the Carotenoid Biosynthesis Pathway in the Brown Algae Saccharina japonica and Cladosiphon okamuranus. Antioxidants 2019, 8, 564.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop