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Bacterial predation limits microbial sulfate-reduction in a coastal acid sulfate soil (CASS) ecosystem

机译:细菌捕食限制了沿海酸性硫酸盐土壤(CASS)生态系统的微生物硫酸盐还原

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摘要

Microbial iron and sulfate reduction are the primary drivers of coastal acid sulfate soil (CASS) passive bioremediation schemes. Microbial sulfate reduction is the limiting step for pyrite formation, a desirable endpoint for CASS remediation. Little is known, however, about the impacts of microbial activity or species interaction on long-term iron and sulfur cycling in CASS ecosystems. Using a combination of molecular biology, geochemical speciation and artificial intelligence-powered computational modelling, we deduced from microbial activity patterns (RNA-based) and geochemical measurements a best-fit equation for predicting biogeochemical pyrite formation in a model CASS ecosystem. In addition to the time-dependent activities of key sulfate-reducing prokaryotic taxa (e.g. Desulfobacteraceae), this equation required methylotrophs (Methylobacteriaceae) and bacterial predators (Bacteriovorax) for best-fitting, suggesting that specific microbial interactions exert meaningful influences on CASS bioremediation efficiency. Our findings confirmed that CASS microorganisms act as an assemblage in response to rewetting by tidewater. Accurate predictions of long-term CASS bioremediation efficiency require modelling of complex and interdependent relationships between geochemical speciation and microbial activity.
机译:微生物铁和硫酸盐还原是沿海酸性硫酸盐土壤(CASS)被动生物化方案的主要司机。微生物硫酸盐还原是黄铁矿形成的限制步骤,是CASS修复的理想终点。然而,关于微生物活性或物种相互作用对CASS生态系统中的长期铁和硫循环的影响很少。利用分子生物学,地球化学品种和人工智能计算建模的组合,我们从微生物活性模式(基于RNA)和地球化学测量中推导出一种最适合的方程,用于预测模型CASS生态系统中的生物地良细化硫铁矿形成。除了时间抑制的硫酸盐降低原核分类群(例如脱硫乙酰术)外,该等式需要甲基丙醇(甲基杆菌)和细菌捕食者(细菌毒素)以获得最佳拟合,表明特异性微生物相互作用对CASS生物修复效率产生有意义的影响。我们的调查结果证实,CASS微生物作为潮水重新润湿的响应作用作为组合。长期CASS生物修复效率的准确预测需要建模地球化学物质和微生物活性之间的复杂和相互依赖关系。

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