Potential for microbial H(2) and metal transformations associated with novel bacteria and archaea in deep terrestrial subsurface sediments.

Potential for microbial H(2) and metal transformations associated with novel bacteria and archaea in deep terrestrial subsurface sediments.
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DOI:
10.1038/ismej.2017.39
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发表时间:
2017-08
期刊:
The ISME journal
影响因子:
--
通讯作者:
Banfield JF
Banfield JF
中科院分区:
其他
文献类型:
--
作者:
Hernsdorf AW;Amano Y;Miyakawa K;Ise K;Suzuki Y;Anantharaman K;Probst A;Burstein D;Thomas BC;Banfield JF

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在深地下储存库中进行地质隔离是目前普遍建议的放射性废物处置途径。放射性废物在地下处置后,由于钢的腐蚀可能产生H2,最终放射性核素将暴露在周围环境中。为了评估微生物活动对处理系统的潜在影响,我们在日本北海道的Horonobe地下研究实验室探索了沉积物生态系统的微生物群落结构和代谢功能。总的来说,我们发现生态系统中有来自不同谱系的生物,包括许多缺乏孤立代表的门。大多数生物体可以代谢H2,通常通过氧化[NiFe]氢化酶或电子分叉[FeFe]氢化酶,这使得铁氧还蛋白为基础的途径,包括离子动机Rnf复合物。许多参与H2代谢的生物也被预测催化碳、氮、铁和硫的转化。值得注意的是,在放线菌的新谱系和假定的甲烷氧化ANME-2d古菌中预测了铁基代谢。我们推断了一个将微生物与沉积物来源资源联系起来的生态模型,并预测了微生物活动对H2消耗和放射性核素迁移延迟的潜在影响。
Geological sequestration in deep underground repositories is the prevailing proposed route for radioactive waste disposal. After the disposal of radioactive waste in the subsurface, H2 may be produced by corrosion of steel and, ultimately, radionuclides will be exposed to the surrounding environment. To evaluate the potential for microbial activities to impact disposal systems, we explored the microbial community structure and metabolic functions of a sediment-hosted ecosystem at the Horonobe Underground Research Laboratory, Hokkaido, Japan. Overall, we found that the ecosystem hosted organisms from diverse lineages, including many from the phyla that lack isolated representatives. The majority of organisms can metabolize H2, often via oxidative [NiFe] hydrogenases or electron-bifurcating [FeFe] hydrogenases that enable ferredoxin-based pathways, including the ion motive Rnf complex. Many organisms implicated in H2 metabolism are also predicted to catalyze carbon, nitrogen, iron and sulfur transformations. Notably, iron-based metabolism is predicted in a novel lineage of Actinobacteria and in a putative methane-oxidizing ANME-2d archaeon. We infer an ecological model that links microorganisms to sediment-derived resources and predict potential impacts of microbial activity on H2 consumption and retardation of radionuclide migration.
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