Changes in CO2 concentration drive a succession of toxic and non-toxic strains of Microcystis blooms
文献类型： 外文期刊
作者： Jiang, Jingyu 1 ; Zeng, Jiaying 1 ; Wang, Jingkai 2 ; Zuo, Jun 4 ; Wei, Nian 5 ; Song, Lirong 1 ; Shan, Kun 2 ; Gan, Nanqin 1 ;
作者机构： 1.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
4.Wenzhou Univ, Inst Ecoenvironm Res Sanyang Wetland, Natl & Local Joint Engn Res Ctr Ecol Treatment Tec, Zhejiang Prov Key Lab Water Environm & Marine Biol, Wenzhou 325035, Peoples R China
5.Chinese Acad Fishery Sci, Yangtze River Fisheries Res Inst, Wuhan 430223, Peoples R China
关键词： CO2; Toxic Microcystis; Non-toxic Microcystis; Succession; XGBoost model; Microcystis blooms
期刊名称：WATER RESEARCH （ 影响因子：12.8； 五年影响因子：13.3 ）
ISSN： 0043-1354
年卷期： 2024 年 250 卷
页码：
收录情况： SCI
摘要： The dynamic changes between toxic and non-toxic strains of Microcystis blooms have always been a hot topic. Previous studies have found that low CO2 favors toxic strains, but how changing dissolved CO2 (CO2 [aq]) in water body influences the succession of toxic and non-toxic strains in Microcystis blooms remains uncertain. Here, we combined laboratory competition experiments, field observations, and a machine learning model to reveal the links between CO2 changes and the succession. Laboratory experiments showed that under low CO2 conditions (100-150 ppm), the toxic strains could make better use of CO2 (aq) and be dominant. The non-toxic strains demonstrated a growth advantage as CO2 concentration increased (400-1000 ppm). Field observations from June to November in Lake Taihu showed that the percentage of toxic strains increased as CO2 (aq) decreased. Machine learning highlighted links between the inorganic carbon concentration and the proportion of advantageous strains. Our findings provide new insights for cyanoHABs prediction and prevention.
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