Ulva prolifera green tides are becoming a worldwide environmental problem, especially in the Yellow Sea, China. However, the effects of the occurrence of U. prolifera green tides on the community organization and stability of surrounding microbiomes have still not been determined. Here, the prokaryotic microbial community network stability and assembly characteristics were systematically analyzed and compared between the green tide and non-green tide periods. U. prolifera blooms weaken the community complexity and robustness of surrounding microbiomes, increasing fragmentation and decreasing diversity. Bacteria and archaea exhibited distinct community distributions and assembly patterns under the influence of green tides, and bacterial communities were more sensitive to outbreaks of green tides. The bacterial communities exhibited a greater niche breadth and a lower phylogenetic distance during the occurrence of U. prolifera green tides compared to those during the non-green tide period while archaeal communities remained unchanged, suggesting that the bacterial communities underwent stronger homogeneous selection and more sensitive to green tide blooms than the archaeal communities. Piecewise structural equation model analysis revealed that the different responses of major prokaryotic microbial groups, such as Cyanobacteria, to environmental variables during green tides, were influenced by the variations in pH and nitrate during green tides and correlated with the salinity gradient during the non-green tide period. This study elucidates the response of the adaptability, associations, and stability of surrounding microbiomes to outbreaks of U. prolifera green tides.
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http://dx.doi.org/10.1016/j.jes.2024.06.042 | DOI Listing |
J Environ Sci (China)
August 2025
College of Marine Life Sciences, Institute of Evolution and Marine Biodiversity, Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Lab of Polar Oceanography and Global Ocean Change, Ocean University of China, Qingdao 266003, China; UMT-OUC Joint Center for Marine Studies, Qingdao 266003, China.
Ulva prolifera green tides are becoming a worldwide environmental problem, especially in the Yellow Sea, China. However, the effects of the occurrence of U. prolifera green tides on the community organization and stability of surrounding microbiomes have still not been determined.
View Article and Find Full Text PDFMar Environ Res
February 2025
Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, 222005, China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Lianyungang, 222005, China; Jiangsu Provincial Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, 222005, China. Electronic address:
Green tides are on the rise in the world's ocean recently, and Ulva is one of the most important genera to develop this marine disaster. However, the rapid biomass accumulation of this genus is quite complex, so in this study we utilized the different sizes of U. prolifera fragments (0.
View Article and Find Full Text PDFWater Res
February 2025
Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 2066061, China. Electronic address:
Multitudinous dissolved organic nitrogen (DON) enters seawater from Ulva prolifera green tides impacting phytoplankton community structure in the Yellow Sea. Field investigations and cultural experiments on U. prolifera-derived DON aging revealed its regulatory effects.
View Article and Find Full Text PDFMar Pollut Bull
February 2025
College of Marine and Environment, Tianjin University of Science and Technology, Tianjin 300457, China. Electronic address:
Yellow Sea green tides have become recurring marine ecological disasters, making accurate forecasting essential for early warning and preventive measures. This study incorporates a stochastic perturbed parameterization scheme into the Yellow Sea Green Tide Drift Model to create an ensemble forecast of the drifting path of green tides, using the 2016 Yellow Sea green tide event as a case study. The ensemble forecast experiment demonstrates that this approach effectively simulates the drift characteristics of the 2016 green tide.
View Article and Find Full Text PDFEnviron Pollut
February 2025
Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, and College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China.
The outbreak of Ulva prolifera blooms causes significant changes in the coastal sulfur cycle due to the high production of dimethylsulfoniopropionate (DMSP) and the emission of dimethylsulfide (DMS). However, the sulfur metabolism mechanism of U. prolifera has not been thoroughly investigated.
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