ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Aquatic Microbiology
Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1650890
This article is part of the Research TopicPlankton Metabolisms and Interactions in Fluctuating EnvironmentsView all 8 articles
Seasonal blooms of Synechococcus in a temperate semi-enclosed bay: Linking community succession to thermal and nutrient regimes
Provisionally accepted- 1Yantai University, Yantai, China
- 2Ludong University, Yantai, China
- 3Chinese Academy of Fishery Science Yellow Sea Fisheries Research Institute, Qingdao, China
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Synechococcus 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 rpoC1 gene analysis to investigate its bloom development and community succession in Laizhou Bay, based on three years of ten seasonal surveys and a year-long monthly observation at a fixed station. Synechococcus blooms reached their peak in summer (up to 10 6 cells mL -1 ), particularly in the southern part of the bay, with high abundances in autumn as well. Phycoerythrin-rich Synechococcus 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 Synechococcus 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 Synechococcus bloom persistence and genetic diversification. This study provides valuable insights into the mechanisms regulating Synechococcus 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.
Keywords: Synechococcus bloom, Flow Cytometry, rpoC1 gene, Community, Temperature threshold, Nutrient Inputs
Received: 20 Jun 2025; Accepted: 25 Jul 2025.
Copyright: © 2025 Ding, Wu, Zhang, Yang, Wang, Li, Gao, Cui and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhengguo Cui, Chinese Academy of Fishery Science Yellow Sea Fisheries Research Institute, Qingdao, China
Tao Jiang, Yantai University, Yantai, China
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