Jiang Yurou, Shu Wangxinze, Cao Furong, Wan Jiyuan, Shi Tianjing, Liu Qian, Liu Mingjian, Jiang Yong
MoE Key Laboratory of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, 266003, China; Fisheries College, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao, 266003, China.
Fisheries College, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao, 266003, China.
Harmful Algae. 2025 Sep;148:102907. doi: 10.1016/j.hal.2025.102907. Epub 2025 May 29.
Green tide, a widespread coastal water environmental issue, significantly impacts the ecology of nearshore microorganisms. Despite extensive research on green tides, the dynamics of microbial communities and their assembly mechanisms throughout the development of these events are still not well understood. To elucidate these responses and underlying mechanisms, we conducted a comprehensive study examining the diversity, composition, and ecological dynamics of prokaryotic and microeukaryotic communities at various phases of green tide events by integrating high-throughput sequencing. The results revealed that deterministic processes predominated prokaryotic community assembly during green tide events, transitioning to stochastic processes in the post-bloom phase, while the assembly of microeukaryotic communities was consistently driven by deterministic processes at all phases. Co-occurrence network analysis indicated that green tide outbreaks reduced the connectivity and modularity of microbial networks, thereby weakening their overall stability. Functional predictions suggest that green tides may influence methane oxidation and inhibit nitrogen fixation, while simultaneously enhancing nitrification and denitrification processes. These changes could potentially alter the carbon and nitrogen cycles in coastal ecosystems. Additionally, we observed an increase in the abundance of the dddL gene, which may promote the production of dimethyl sulfide (DMS) and thus impact the atmospheric sulfur cycle. Furthermore, the outbreaks of green tides appear to facilitate phosphorus synthesis and iron oxidation. Overall, this study provides a foundational microbial dataset and novel insights into the dynamics of microbial networks during green tide events. These findings offer a better understanding of the microbial community's response to green tides and their potential impacts on biogeochemical cycles in coastal ecosystems.
绿潮是一个广泛存在的沿海水环境问题，对近岸微生物的生态产生重大影响。尽管对绿潮进行了广泛研究，但在这些事件的整个发展过程中，微生物群落的动态及其组装机制仍未得到很好的理解。为了阐明这些响应和潜在机制，我们通过整合高通量测序，对绿潮事件不同阶段的原核生物和微型真核生物群落的多样性、组成和生态动态进行了全面研究。结果表明，在绿潮事件期间，确定性过程在原核生物群落组装中占主导地位，在水华后期转变为随机过程，而微型真核生物群落在所有阶段的组装均由确定性过程驱动。共现网络分析表明，绿潮爆发降低了微生物网络的连通性和模块性，从而削弱了其整体稳定性。功能预测表明，绿潮可能影响甲烷氧化并抑制固氮作用，同时增强硝化和反硝化过程。这些变化可能会改变沿海生态系统中的碳和氮循环。此外，我们观察到dddL基因丰度增加，这可能促进二甲基硫（DMS）的产生，从而影响大气硫循环。此外，绿潮的爆发似乎促进了磷的合成和铁的氧化。总体而言，本研究提供了一个基础微生物数据集，并对绿潮事件期间微生物网络的动态提供了新的见解。这些发现有助于更好地理解微生物群落对绿潮的响应及其对沿海生态系统生物地球化学循环的潜在影响。
