Type | : | ACL |
---|---|---|
Nature | : | Production scientifique |
Au bénéfice du Laboratoire | : | Oui |
Statut de publication | : | Publié |
Année de publication | : | 2025 |
Auteurs (9) | : | RÉGIMBEAU Antoine AUMONT O BOWLER Chris GUIDI Lionel JACKSON G,a KARSENTI Eric MEMERY Laurent TAGLIABUE A EVEILLARD Damien |
Revue scientifique | : | Science Advances |
Volume | : | 11 |
Fascicule | : | 23 |
Pages | : | |
DOI | : | 10.1126/sciadv.adq3593 |
URL | : | https://doi.org/10.1126/sciadv.adq3593 |
Abstract | : | Earth system models (ESMs) highly simplify their representation of biological processes, leading to major uncertainty in the impacts of climate change. Despite a growing understanding of molecular networks from genomic data, describing how changing phytoplankton physiology affects biogeochemical processes remains elusive. Here, we embed genome-scale models within a state-of-the-art ESM to deliver an integrated understanding of how gradients of nutrients modulate the molecular physiology of various plankton. In particular, when applied to Prochlorococcus, we find that glycogen and lipid management can be interpreted in terms of acclimation to different environments. Generalized to other phytoplankton such as the diatom Thalassiosira, we estimate the production of 39 metabolites that constitute hot spots of dissolved organic carbon described by their amount of carbon produced and their diversity of associated metabolites in ESMs. This modeling approach shows how genome scale?enabled ESMs have the potential to advance our understanding of microbial ecosystem functioning in ocean biogeochemical processes. A genome-enabled ESM built on genomic data assesses physiological acclimation and biogeochemical effects through nutrient stress. |
Mots-clés | : | - |
Commentaire | : | doi: 10.1126/sciadv.adq3593 |
Tags | : | - |
Fichier attaché | : | - |
Citation | : |
Régimbeau A, Aumont O, Bowler C, Guidi L, Jackson GA, Karsenti E, Memery L, Tagliabue A, Eveillard D (2025) Unveiling the link between phytoplankton molecular physiology and biogeochemical cycling via genome-scale modeling. Sci Adv 11 | doi: 10.1126/sciadv.adq3593
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