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长读长测序和成像流式细胞术揭示不同气候情景下热浪诱导的热分层对微生物-藻类群落的塑造作用

Heatwave-Induced Thermal Stratification Shaping Microbial-Algal Communities Under Different Climate Scenarios as Revealed by Long-Read Sequencing and Imaging Flow Cytometry.

作者信息

Meirkhanova Ayagoz, Zhumakhanova Adina, Len Polina, Schoenbach Christian, Levi Eti Ester, Jeppesen Erik, Davidson Thomas A, Barteneva Natasha S

机构信息

Department of Biology, School of Sciences and Humanities, Nazarbayev University, 010000 Astana, Kazakhstan.

Department of Ecoscience, Aarhus University & Center for Water Technology (WATEC), 8000 Aarhus, Denmark.

出版信息

Toxins (Basel). 2025 Jul 27;17(8):370. doi: 10.3390/toxins17080370.

Abstract

The effect of periodical heatwaves and related thermal stratification in freshwater aquatic ecosystems has been a hot research issue. A large dataset of samples was generated from samples exposed to temporary thermal stratification in mesocosms mimicking shallow eutrophic freshwater lakes. Temperature regimes were based on IPCC climate warming scenarios, enabling simulation of future warming conditions. Surface oxygen levels reached 19.37 mg/L, while bottom layers dropped to 0.07 mg/L during stratification. Analysis by FlowCAM revealed dominance of Cyanobacteria under ambient conditions (up to 99.2%), while Cryptophyta (up to 98.9%) and Chlorophyta (up to 99.9%) were predominant in the A2 and A2+50% climate scenarios, respectively. We identified temperature changes and shifts in nutrient concentrations, particularly phosphate, as critical factors in microbial community composition. Furthermore, five distinct morphospecies identified by FlowCAM-based analysis were associated with different microbial clusters. The combined use of imaging flow cytometry, which differentiates phytoplankton based on morphological parameters, and nanopore long-read sequencing analysis has shed light into the dynamics of microbial communities associated with different morphospecies. In our observations, a peak of algicidal bacteria abundance often coincides with or is followed by a decline in the Cyanobacteria. These findings highlight the importance of species-level classification in the analysis of complex ecosystem interactions and the dynamics of algal blooms in freshwater bodies in response to anthropogenic effects and climate change.

摘要

周期性热浪及淡水水生生态系统中相关热分层的影响一直是研究热点。通过在模拟浅水富营养化淡水湖的中型生态系统中,对经历临时热分层的样本进行采样,生成了大量样本数据集。温度模式基于政府间气候变化专门委员会(IPCC)的气候变暖情景,能够模拟未来的变暖状况。分层期间,表层氧气水平达到19.37毫克/升,而底层降至0.07毫克/升。FlowCAM分析显示,在环境条件下蓝藻占主导地位(高达99.2%),而隐藻(高达98.9%)和绿藻(高达99.9%)分别在A2和A2 + 50%气候情景中占主导。我们确定温度变化和营养物浓度变化,尤其是磷酸盐浓度变化,是微生物群落组成的关键因素。此外,基于FlowCAM分析确定的五个不同形态物种与不同的微生物簇相关联。结合使用基于形态参数区分浮游植物的成像流式细胞术和纳米孔长读长测序分析,揭示了与不同形态物种相关的微生物群落动态。在我们的观察中,杀藻细菌丰度峰值通常与蓝藻数量下降同时出现或紧随其后。这些发现凸显了物种水平分类在分析复杂生态系统相互作用以及淡水水体中藻类水华响应人为影响和气候变化的动态方面的重要性。

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