From Winter Dormancy to Spring Bloom: Regulatory Mechanisms in Microcystis aeruginosa Post-Overwintering Recovery

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Chenjun Fu, Xinyi Wang, Jing Yu, Hu Cui, Shengnan Hou, Hui Zhu
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Abstract

Cyanobacterial blooms pose a significant environmental threat in freshwater ecosystems. These cyanobacteria exhibit resilience to cold and dark conditions during winter and flourish as temperature rise in warmer seasons. However, there is a limited understanding of the dynamic growth recovery process and regulatory signaling mechanisms in cyanobacteria after overwintering. In this study, we employed Microcystis aeruginosa (M. aeruginosa) as a model to simulate its growth recovery when subjected to increasing temperature after overwintering under low temperature (4 °C) and dark conditions. We investigated changes in cell growth, microcystin levels, and signaling pathways throughout this recovery phase. Our results indicated that compared to the non-overwintering treatment (T1), the overwintered treatment (T2) experienced a 55.6% decrease in algae density and a significant reduction in microcystin-LR (MC-LR) levels within the 15-20 °C temperature range (p < 0.05). Overwintering suppressed photosynthetic efficiency during the recovery phase of M. aeruginosa, activated the antioxidant system, and impaired cellular ultrastructure, making algal cells more vulnerable to death. At the transcriptional level, overwintering down-regulated pathways such as photosynthesis, ribosome, the Calvin cycle, and oxidative phosphorylation, hindering the growth and metabolic capacity of M. aeruginosa. In conclusion, this study highlights the inhibitory impacts of overwintering on growth and metabolism of cyanobacteria during the recovery process. It provides insights into the mechanistic foundations of seasonal cyanobacterial blooms and the crucial role of signaling regulation in these processes.

Abstract Image

从冬季休眠到春季绽放:铜绿微囊藻越冬后恢复的调节机制
蓝藻藻华对淡水生态系统构成了严重的环境威胁。这些蓝藻在冬季寒冷和黑暗的环境中表现出顽强的生命力,并随着温暖季节温度的升高而蓬勃生长。然而,人们对蓝藻越冬后的动态生长恢复过程和调控信号机制了解有限。本研究以铜绿微囊藻(M. aeruginosa)为模型,模拟其在低温(4 °C)和黑暗条件下越冬后在温度升高时的生长恢复过程。我们研究了整个恢复阶段中细胞生长、微囊藻毒素水平和信号通路的变化。结果表明,与非越冬处理(T1)相比,越冬处理(T2)的藻密度降低了55.6%,在15-20 °C温度范围内,微囊藻毒素-LR(MC-LR)水平显著降低(p <0.05)。越冬抑制了铜绿微囊藻恢复阶段的光合效率,激活了抗氧化系统,损害了细胞超微结构,使藻细胞更容易死亡。在转录水平上,越冬下调了光合作用、核糖体、卡尔文循环和氧化磷酸化等途径,阻碍了铜绿微囊藻的生长和代谢能力。总之,本研究强调了越冬对蓝藻恢复过程中生长和代谢的抑制作用。该研究深入揭示了季节性蓝藻藻华的机理基础以及信号调控在这些过程中的关键作用。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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