Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome
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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-59250-y |
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| author | Miranda C. Mudge Michael Riffle Gabriella Chebli Deanna L. Plubell Tatiana A. Rynearson William S. Noble Emma Timmins-Schiffman Julia Kubanek Brook L. Nunn |
| author_facet | Miranda C. Mudge Michael Riffle Gabriella Chebli Deanna L. Plubell Tatiana A. Rynearson William S. Noble Emma Timmins-Schiffman Julia Kubanek Brook L. Nunn |
| author_sort | Miranda C. Mudge |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-acfeda00d23b456a8de1ecf1fb3eeae4 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-acfeda00d23b456a8de1ecf1fb3eeae42025-08-20T03:52:24ZengNature PortfolioNature Communications2041-17232025-04-0116111410.1038/s41467-025-59250-yHarmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiomeMiranda C. Mudge0Michael Riffle1Gabriella Chebli2Deanna L. Plubell3Tatiana A. Rynearson4William S. Noble5Emma Timmins-Schiffman6Julia Kubanek7Brook L. Nunn8Department of Genome Sciences, University of WashingtonDepartment of Genome Sciences, University of WashingtonSchool of Biological Sciences, Georgia Institute of Technology, Parker H. Petit Institute for Bioengineering and BioscienceDepartment of Genome Sciences, University of WashingtonGraduate School of Oceanography, University of Rhode IslandDepartment of Genome Sciences, University of WashingtonDepartment of Genome Sciences, University of WashingtonSchool of Biological Sciences, Georgia Institute of Technology, Parker H. Petit Institute for Bioengineering and BioscienceDepartment of Genome Sciences, University of WashingtonAbstract 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.https://doi.org/10.1038/s41467-025-59250-y |
| spellingShingle | Miranda C. Mudge Michael Riffle Gabriella Chebli Deanna L. Plubell Tatiana A. Rynearson William S. Noble Emma Timmins-Schiffman Julia Kubanek Brook L. Nunn Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome Nature Communications |
| title | Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome |
| title_full | Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome |
| title_fullStr | Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome |
| title_full_unstemmed | Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome |
| title_short | Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome |
| title_sort | harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome |
| url | https://doi.org/10.1038/s41467-025-59250-y |
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