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PreprintCC BY-NC-NDbioRxiv

Codon usage bias maps ocean microbiome adaptation to temperature-nutrients regimes

  1. 1Nantes Universite, Ecole Centrale Nantes, CNRS, LS2N, UMR 6004

Abstract

Microbial communities underpin ocean productivity and biogeochemistry, but their functional adaptation to environmental gradients remains poorly understood. Codon usage bias (CUB), a marker of translational efficiency, constrains growth rate potential, yet its role in functional adaptation across natural communities is underexplored. By analysing 589 metagenome-derived microbial communities from the global ocean, we demonstrate that CUB in 320 metabolism-related gene groups capture genomic adaptation to distinct temperature and nutrient concentrations. We identified four adaptation signatures shaped by distinct temperature-nutrient regimes, revealing how microbes optimize protein synthesis in their ecological niche. This genome-centric approach deepens our understanding of functional adaptation in uncultured marine microbes and provides a framework to inform ocean biogeochemical models and predict microbial responses to climate-driven changes.

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BibTeX
@misc{gouzien2026codon,
  title = {{Codon usage bias maps ocean microbiome adaptation to temperature-nutrients regimes}},
  author = {C. G. Gouzien and A. Bagnaro and L. Garczarek and M. Ardyna and F. Joux and S. Chaffron},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.02.755941},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.02.755941v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Codon usage bias maps ocean microbiome adaptation to temperature-nutrients regimes
AU  - C. G. Gouzien
AU  - A. Bagnaro
AU  - L. Garczarek
AU  - M. Ardyna
AU  - F. Joux
AU  - S. Chaffron
PY  - 2026
DA  - 2026/10/02
PB  - bioRxiv
DO  - 10.64898/2026.10.02.755941
UR  - https://www.biorxiv.org/content/10.64898/2026.10.02.755941v1
AB  - Microbial communities underpin ocean productivity and biogeochemistry, but their functional adaptation to environmental gradients remains poorly understood. Codon usage bias (CUB), a marker of translational efficiency, constrains growth rate potential, yet its role in functional adaptation across natural communities is underexplored. By analysing 589 metagenome-derived microbial communities from the global ocean, we demonstrate that CUB in 320 metabolism-related gene groups capture genomic adaptation to distinct temperature and nutrient concentrations. We identified four adaptation signatures shaped by distinct temperature-nutrient regimes, revealing how microbes optimize protein synthesis in their ecological niche. This genome-centric approach deepens our understanding of functional adaptation in uncultured marine microbes and provides a framework to inform ocean biogeochemical models and predict microbial responses to climate-driven changes.
ER  -