Effects of temperature, salinity and CO2 concentration on growth and toxin production of the harmful algal bloom species Alexandrium pseudogonyaulax (Dinophyceae) from the Danish Limfjord [0.03%]
温度、盐度和二氧化碳浓度对丹麦林姆福尔德海域有害藻华种海洋鞭毛虫亚种伪戈尼奥斯琳藻生长及毒素产生的影响
Simon Tulatz,Bernd Krock,Urban Tillmann et al.
Simon Tulatz et al.
The marine dinoflagellate Alexandrium pseudogonyaulax is a widely distributed Harmful Algal Bloom (HAB) species that produces the macrocyclic polyketide goniodomin A (GDA). Occurrences in northern European waters are increasing and a spread...
Influence of nitrate and salinity on growth and toxin production of Prymnesium parvum [0.03%]
硝酸盐和盐度对微绿球藻生长及其毒素产生的影响
Wenhui Yan,Guixiang Wang,Ying Ji et al.
Wenhui Yan et al.
Fish-killing events caused by haptophyte Prymnesium parvum have been reported in aquatic environments worldwide. This haptophyte could produce diverse prymnesins (PRMs) that harm to aquatic organisms like fishes. In this study, the componen...
Species and genetic diversity of notorious dinoflagellates Pfiesteria piscicida, Luciella masanensis, and relatives in marine sediments of China [0.03%]
中国近海沉积物中鱼害夜光虫(Pfiesteria piscicida)、露齿夜光藻(Luciella masanensis)等有害夜光虫的物种和遗传多样性研究
Zhe Tao,Xiaohan Liu,Xiaoying Song et al.
Zhe Tao et al.
The dinoflagellate genus Pfiesteria, encompassing Pfiesteria piscicida and P. shumwayae, became a hot topic in HABs research in the early 2000s due to numerous but controversial reports regarding life cycle and toxicity. While Pfiesteria pr...
Perturbations in a pelagic food web during the NE pacific large marine heatwave and persistent harmful diatom blooms [0.03%]
东北太平洋海洋热浪期间及有害硅藻持续爆发期间水体食物网的变化
Rocio I Ruiz-Cooley,Clarissa Anderson,Raphael Kudela et al.
Rocio I Ruiz-Cooley et al.
Unprecedented warm ocean conditions, driven by the Large Marine Heatwave (LMH) and the 2015-16 El Niño in the Northeast Pacific favored pervasive toxigenic Pseudo-nitzschia spp. blooms that caused widespread ecological impacts, but little ...
Influence of mixotrophy on cell cycle phase duration and correlation of karlotoxin synthesis with light and G1 phase in Karlodinium veneficum [0.03%]
卡尔毒素合成与光照和G1期的关系及混营养对细胞周期各时相持续时间的影响：以高毒性金藻虫(Karlodinium veneficum)为模式种的研究
Erik L J E Broemsen,Jens Wira,Allen R Place et al.
Erik L J E Broemsen et al.
Karlodinium veneficum forms fish killing blooms in estuaries worldwide. The toxicity of these blooms is variable and thought to be connected to bloom stage and in situ growth rates. Methods for measuring in situ growth rates rely on the ass...
Optimal growth conditions of the haptophyte Chrysochromulina leadbeateri causing massive fish mortality in Northern Norway [0.03%]
北方挪威大规模鱼类死亡事件中金黄簇刺藻（Chrysochromulina leadbeateri）最优生长条件研究
Mathias Fon,Luka Šupraha,Tom Andersen et al.
Mathias Fon et al.
The haptophyte Chrysochromulina leadbeateri formed the most devastating fish-killing algal bloom ever recorded in Norway, in May and June 2019. The bloom resulted in the death of 14,500 tons of farmed salmon in Nordland and Troms Counties a...
Prevalence and distribution of dissolved paralytic shellfish toxins in seawater in the Yellow Sea and the Bohai Sea, China [0.03%]
中国黄海和渤海海水麻痹性贝毒分布与浓度调查
Xiaoyun Wang,Jiangbing Qiu,Dongyue Li et al.
Xiaoyun Wang et al.
Paralytic shellfish toxins (PSTs) could be secreted by PSTs-producing microalgae or released by ruptured cells in seawater. In this study, the distribution of dissolved PSTs in the Yellow Sea and the Bohai Sea, China, was investigated by tw...
An early-warning forecast model for red tide (Karenia brevis) blooms on the southwest coast of Florida [0.03%]
佛罗里达西南沿海区域引发赤潮（Karenia brevis） bloom的早期预警预报模型
Miles Medina,Paul Julian nd,Nicholas Chin et al.
Miles Medina et al.
Karenia brevis blooms occur nearly annually along the southwest coast of Florida, and effective mitigation of ecological, public health, and economic impacts requires reliable real-time forecasting. We present two boosted random forest mode...
Explainable machine learning for predicting diarrhetic shellfish poisoning events in the Adriatic Sea using long-term monitoring data [0.03%]
基于长期监测数据的可解释机器学习预测亚得里亚海腹泻性贝毒事件
Martin Marzidovšek,Janja Francé,Vid Podpečan et al.
Martin Marzidovšek et al.
In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of t...
Response to the CO2 concentrating mechanisms and transcriptional time series analysis of Ulva prolifera under inorganic carbon limitation [0.03%]
响应二氧化碳浓缩机制及乌尔瓦繁植藻无机碳限制下的转录系列分析
Jingyi Sun,Wei Dai,Shuang Zhao et al.
Jingyi Sun et al.
Ulva prolifera is a dominant species in green tides and has been affecting marine ecosystem for many years. Due to the low availability of CO2 in the environment, U. prolifera utilizes the CO2 concentrating mechanisms (CCMs) to increase int...