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Biology subjects

Ardyna, M.

Publications and source records attributed to Ardyna, M..

2 recordsLinked to original sources

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

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.

microbiology↗

Environmental vulnerability of the global ocean plankton community interactome

Marine plankton form complex communities of interacting organisms at the base of the food web, which sustain oceanic biogeochemical cycles, and help regulate climate. Though global surveys are starting to reveal ecological drivers underlying planktonic community structure, and predicted climate change responses, it is unclear how community-scale species interactions will be affected by climate change. Here we leveraged Tara Oceans sampling to infer a global ocean cross-domain plankton co-occurrence network - the community interactome - and used niche modeling to assess its vulnerabilities to environmental change. Globally, this revealed a plankton interactome self-organized latitudinally into marine biomes (Trades, Westerlies, Polar), and more connected poleward. Integrated niche modeling revealed biome-specific community interactome responses to environmental change, and forecasted most affected lineages for each community. These results provide baseline approaches to assess community structure and organismal interactions under climate scenarios, while identifying plausible plankton bioindicators for ocean monitoring of climate change.

ecology↗