Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, China.
Water Environ Res. 2022 Oct;94(10):e10797. doi: 10.1002/wer.10797.
Recently, green tide outbreaks have resulted in severe coastal ecology and economic effects in China. Jiangsu coastal areas are usually the site of early green tide outbreaks. To clarify the effects of green tide outbreaks in Jiangsu coastal areas, this study analyzed microbial communities during green tide-free and green tide outbreak periods (May and July, respectively) through 16S rDNA sequencing. Sequences were clustered into 4117 operational taxonomic units (OTUs), 1044 and 3834 of which were obtained from the May and July groups, respectively. Redundancy analysis indicated that green tide occurrence was closely associated with the temperature, pH, and concentrations of various nutrients. Diversity analysis revealed that the July group had a richer microbial community than the May group, in agreement with the results of propagule culture. Moreover, comparative analysis revealed that samples in the May and July groups clustered together. According to Megan analysis, the May group had much more Psychrobacter, Sulfitobacter, and Marinomonas than the July group, whereas the other genera were predominantly found in July, such as Ascidiacerhabitans, Synechococcus Hydrotalea, and Burkholderia-Paraburkholderia. These findings suggest that green tide outbreaks affect marine microbial communities, and detecting the changes in the identified genera during green tide outbreaks may contribute to green tide forecasting. PRACTITIONER POINTS: Jiangsu coastal areas are usually the site of early green tide outbreaks. Green tide occurrence was related to the concentrations of various nutrients. Microbial species and community structure significantly changed after green tide outbreak.
近年来，绿潮在中国沿海地区爆发，对生态和经济造成了严重影响。江苏沿海地区通常是绿潮早期爆发的地点。为了阐明江苏沿海地区绿潮爆发的影响，本研究通过 16S rDNA 测序分析了绿潮爆发期间（分别为 5 月和 7 月）和绿潮未爆发期间（分别为 5 月和 7 月）的微生物群落。序列聚类为 4117 个操作分类单元（OTUs），其中 5 月和 7 月分别获得 1044 和 3834 个 OTUs。冗余分析表明，绿潮的发生与温度、pH 值和各种营养物质的浓度密切相关。多样性分析表明，7 月组的微生物群落比 5 月组更为丰富，这与繁殖体培养的结果一致。此外，比较分析表明，5 月和 7 月组的样本聚类在一起。根据 Megan 分析，5 月组的 Psychrobacter、Sulfitobacter 和 Marinomonas 比 7 月组多得多，而其他属主要在 7 月出现，如 Ascidiacerhabitans、Synechococcus Hydrotalea 和 Burkholderia-Paraburkholderia。这些发现表明，绿潮爆发会影响海洋微生物群落，检测绿潮爆发期间鉴定出的属的变化可能有助于绿潮预测。
江苏沿海地区通常是绿潮早期爆发的地点。
绿潮的发生与各种营养物质的浓度有关。
绿潮爆发后，微生物种类和群落结构发生显著变化。
