{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16"],"submitter":["Ding X"],"pubmed_abstract":["<i>Synechococcus</i> is a key picocyanobacterium in coastal ecosystems, yet its seasonal bloom dynamics and environmental responses remain unclear in temperate coastal seas. Here, we integrated flow cytometry and <i>rpoC1</i> gene analysis to investigate its bloom development and community succession in Laizhou Bay, based on 3 years of 10 seasonal surveys and a year-long monthly observation at a fixed station. <i>Synechococcus</i> blooms reached their peak in summer (up to 10<sup>6</sup> cells mL<sup>-1</sup>), particularly in the southern part of the bay, with high abundances in autumn as well. Phycoerythrin-rich <i>Synechococcus</i> consistently dominated the community (>70%), especially during autumn blooms. Genetic analyses revealed that summer-autumn blooms harbored high clade diversity (S5.1 II, III, V, and VII), whereas winter and spring communities were simpler, dominated by S5.1 I and IV. Notably, S5.2. VIII gradually increased in relative abundance during bloom development, exceeding 50% in late autumn. Temperature emerged as the primary regulator of <i>Synechococcus</i> dynamics, with cell abundance increasing exponentially with rising temperature. Bloom events were consistently triggered above 26°C. In addition, external nutrient inputs, particularly riverine pulses accumulating from summer to autumn, contributed to <i>Synechococcus</i> bloom persistence and genetic diversification. This study provides valuable insights into the mechanisms regulating <i>Synechococcus</i> blooms and offers a methodological framework for understanding and predicting microbial community responses to the combined effects of climate change and anthropogenic disturbances in coastal ecosystems."],"journal":["Frontiers in microbiology"],"pagination":["1650890"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12391925"],"repository":["biostudies-literature"],"pubmed_title":["Seasonal blooms of &lt;i&gt;Synechococcus&lt;/i&gt; in a temperate semi-enclosed bay: linking community succession to thermal and nutrient regimes."],"pmcid":["PMC12391925"],"pubmed_authors":["Ding X","Zhang D","Yang L","Wang A","Li S","Gao L","Cui Z","Jiang T","Wu G"],"additional_accession":[]},"is_claimable":false,"name":"Seasonal blooms of &lt;i&gt;Synechococcus&lt;/i&gt; in a temperate semi-enclosed bay: linking community succession to thermal and nutrient regimes.","description":"<i>Synechococcus</i> is a key picocyanobacterium in coastal ecosystems, yet its seasonal bloom dynamics and environmental responses remain unclear in temperate coastal seas. Here, we integrated flow cytometry and <i>rpoC1</i> gene analysis to investigate its bloom development and community succession in Laizhou Bay, based on 3 years of 10 seasonal surveys and a year-long monthly observation at a fixed station. <i>Synechococcus</i> blooms reached their peak in summer (up to 10<sup>6</sup> cells mL<sup>-1</sup>), particularly in the southern part of the bay, with high abundances in autumn as well. Phycoerythrin-rich <i>Synechococcus</i> consistently dominated the community (>70%), especially during autumn blooms. Genetic analyses revealed that summer-autumn blooms harbored high clade diversity (S5.1 II, III, V, and VII), whereas winter and spring communities were simpler, dominated by S5.1 I and IV. Notably, S5.2. VIII gradually increased in relative abundance during bloom development, exceeding 50% in late autumn. Temperature emerged as the primary regulator of <i>Synechococcus</i> dynamics, with cell abundance increasing exponentially with rising temperature. Bloom events were consistently triggered above 26°C. In addition, external nutrient inputs, particularly riverine pulses accumulating from summer to autumn, contributed to <i>Synechococcus</i> bloom persistence and genetic diversification. This study provides valuable insights into the mechanisms regulating <i>Synechococcus</i> blooms and offers a methodological framework for understanding and predicting microbial community responses to the combined effects of climate change and anthropogenic disturbances in coastal ecosystems.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-05-29T17:29:39.573Z","creation":"2026-04-08T05:37:55.497Z"},"accession":"S-EPMC12391925","cross_references":{"pubmed":["40895480"],"doi":["10.3389/fmicb.2025.1650890"]}}