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Energy landscapes shape microbial communities in hydrothermal systems on the Arctic Mid-Ocean Ridge

机译:能源景观塑造了北极中海脊的热液系统中的微生物群落

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摘要

Methods developed in geochemical modelling combined with recent advances in molecular microbial ecology provide new opportunities to explore how microbial communities are shaped by their chemical surroundings. Here, we present a framework for analyses of how chemical energy availability shape chemotrophic microbial communities in hydrothermal systems through an investigation of two geochemically different basalt-hosted hydrothermal systems on the Arctic Mid-Ocean Ridge: the Soria Moria Vent field (SMVF) and the Loki’s Castle Vent Field (LCVF). Chemical energy landscapes were evaluated through modelling of the Gibbs energy from selected redox reactions under different mixing ratios between seawater and hydrothermal fluids. Our models indicate that the sediment-influenced LCVF has a much higher potential for both anaerobic and aerobic methane oxidation, as well as aerobic ammonium and hydrogen oxidation, than the SMVF. The modelled energy landscapes were used to develop microbial community composition models, which were compared with community compositions in environmental samples inside or on the exterior of hydrothermal chimneys, as assessed by pyrosequencing of partial 16S rRNA genes. We show that modelled microbial communities based solely on thermodynamic considerations can have a high predictive power and provide a framework for analyses of the link between energy availability and microbial community composition.
机译:地球化学模型开发的方法与分子微生物生态学的最新进展相结合,为探索微生物群落如何由其化学环境形成提供了新的机会。在这里,我们提供了一个框架,用于通过研究北极中洋海岭上两个地球化学不同的玄武岩托管水热系统来分析水热系统中化学营养微生物的群落结构:Soria Moria Vent场(SMVF)和洛基的城堡放气区(LCVF)。通过在海水和热液之间的不同混合比下,通过对来自选定氧化还原反应的吉布斯能量进行建模,来评估化学能态势。我们的模型表明,与SMVF相比,受底泥影响的LCVF在厌氧和好氧甲烷氧化以及好氧铵和氢氧化方面具有更高的潜力。建模的能源格局用于建立微生物群落组成模型,并将其与热液烟囱内部或外部环境样品中的群落组成进行比较,通过部分16S rRNA基因的焦磷酸测序进行评估。我们表明,仅基于热力学考虑因素建立的微生物群落模型可以具有较高的预测能力,并为分析能源可用性和微生物群落组成之间的联系提供了框架。

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