ArticleNature communications2025
Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- The ecology of bacterial attachment to phytoplankton.Nature microbiology · 2026Review
- The Influence of NaClO on the Biocorrosion of Carbon Steel Induced byMolecules (Basel, Switzerland) · 2025Article
- Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome.Nature communications · 2025Article
- On the ecological duality between ciliates and dinoflagellates across marine ecosystems.Journal of plankton researchReview
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Harmful algal blooms (HABs) have become a worldwide environmental and human health problem, stressing the urgent need for a reliable forecasting tool. Dynamic interactions between algae, including harmful algae, and bacteria play a large role regulating water chemistry. Free-living bacteria quickly respond to small physical and/or chemical environmental changes by adjusting their proteome. We hypothesize that this response is detectable at the peptide level and occurs before rapid phytoplankton growth characteristic of harmful bloom events. To characterize the microbiome's physiological changes preceding bloom onset, we collected and analyzed a high-resolution metaproteomic time series of a free-living microbiome in a coastal ecosystem. We confirm that twelve candidate HAB biomarkers are detectable, quantifiable, and correlated across two pre-bloom periods. This study identifies proteomic shifts in bacterial peptides which may be used as predictive biomarkers for forecasting harmful algal bloom initiation, potentially mitigating detrimental algal bloom outcomes in the future.
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Registered trials
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