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首页> 外文期刊>Environmental Science & Technology >Geochip-Based Functional Gene Analysis of Anodophilic Communities in Microbial Electrolysis Cells under Different Operational Modes
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Geochip-Based Functional Gene Analysis of Anodophilic Communities in Microbial Electrolysis Cells under Different Operational Modes

机译：不同操作模式下基于Geochip的微生物电解池中厌氧菌群落功能基因分析

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摘要

A microbial electrolysis cell (MEC) is a bioelectrochemical system that can produce hydrogen from acetate at high hydrogen recoveries, but the composition and structure of the microbial communities in this system have not been extensively studied. We used a high throughput metagenomics technology (GeoChip) to examine the microbial community functional structure in MECs initially operated under different conditions. We found that startup conditions had little or no effect on reactor performance in terms of Coulombic efficiencies (CEs) and COD removals, somewhat greater effects on CO_2 and CH_4 production, and very large effects on hydrogen production. Hydrogen yields were generally higher for reactors that were always operated as MECs than those initially operated as MFCs. Hydrogen yields were nine times larger for MEC reactors with an applied voltage of 0.7 V (64%～80% efficiencies) than 0.3 V (<7-8%), independent of startup conditions. GeoChip analysis revealed that the functional and phylogenetc diversity of MEC microbial communities after 4 months was quite high despite the use of only a single substrate (acetate). MECs with the largest hydrogen yields had the highest microbial diversity. Multvanate analyses showed that communities that developed in the MECs were well separated from those present under startup conditions, indicating reactor operation altered microbial community composition. Community shifts based on a Mantel test were significantly related to CEs and COD rnremovals in these reactors, suggesting that there were significant changes in microbial community composition as a result of conditions that affected MEC performance. Common well-known exoelectrogenic bacteria (e.g., Geobacter, Shewanella, Desulfovibrio, and Anaeromyxobacter) were found in these systems, but their importance in determining reactor functional performance was not supported with a high confidence in our statistical analysis.
机译：微生物电解池（MEC）是一种生物电化学系统，可以在高氢回收率下从乙酸盐中产生氢，但是该系统中微生物群落的组成和结构尚未得到广泛研究。我们使用高通量宏基因组学技术（GeoChip）来检查最初在不同条件下运行的MEC中的微生物群落功能结构。我们发现启动条件对库仑效率（CEs）和COD的去除几乎没有影响，甚至对反应器性能没有影响，对CO_2和CH_4的生产影响更大，对氢气的生产影响很大。通常始终作为MEC运行的反应器的氢产率通常高于最初作为MFC运行的反应器。与启动条件无关，在0.7 V（64％〜80％的效率）的外加电压下，MEC反应器的氢气产率是0.3 V（<7-8％）的九倍。 GeoChip分析显示，尽管仅使用单一底物（乙酸盐），但4个月后MEC微生物群落的功能和系统发育多样性仍然很高。氢产量最高的MEC具有最高的微生物多样性。 Multvanate分析表明，在启动条件下，MEC中形成的群落与存在的群落之间存在良好的分离，这表明反应堆的运行改变了微生物群落的组成。基于Mantel测试的群落转移与这些反应堆中CE和COD的去除量显着相关，这表明由于影响MEC性能的条件，微生物群落组成发生了重大变化。在这些系统中发现了常见的众所周知的放生电细菌（例如，Geobacter，Shewanella，Desulfovibrio和Anaeromyxobacter），但是在我们的统计分析中没有高度可信地支持它们在确定反应堆功能性能方面的重要性。

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  • 来源
    《Environmental Science & Technology》 |2010年第19期|p.7729-7735|共7页
  • 作者

    WENZONC LIU; AIIIE WANG; SHAOAN CHENG; BRUCE E. LOGAN; HAO VU; YE DENG; JOY D. VAN NOSTRAND; LIYOU W U; ZHILI HE; JIZHONG ZHOU;

  • 作者单位

    State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (SKLUWRE,HIT), Harbin 150090, P.R.China;

    rnState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (SKLUWRE,HIT), Harbin 150090, P.R.China;

    rnDepartment of Civil and Environmental Engineering, Pennsylvania State University,University Park, Pennsylvania 16802, United States;

    rnDepartment of Civil and Environmental Engineering, Pennsylvania State University,University Park, Pennsylvania 16802, United States;

    rnState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (SKLUWRE,HIT), Harbin 150090, P.R.China College of Resource and Environment Engineering, Liaoning Technical University, 123000;

    rnnstitute for Environmental Genomics,Stephenson Research & Technology Center, University of Oklahoma, Norman, Oklahoma 73019, United States Virtual Institute for Microbial Stress and Survival;

    rnnstitute for Environmental Genomics,Stephenson Research & Technology Center, University of Oklahoma, Norman, Oklahoma 73019, United States Virtual Institute for Microbial Stress and Survival;

    rnnstitute for Environmental Genomics,Stephenson Research & Technology Center, University of Oklahoma, Norman, Oklahoma 73019, United States;

    rnnstitute for Environmental Genomics,Stephenson Research & Technology Center, University of Oklahoma, Norman, Oklahoma 73019, United States Virtual Institute for Microbial Stress and Survival;

    rnnstitute for Environmental Genomics,Stephenson Research & Technology Center, University of Oklahoma, Norman, Oklahoma 73019, United States Virtual Institute for Microbial Stress and Survival;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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