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Tracking the Fate of Microbially Sequestered Carbon Dioxide in Soil Organic Matter

机译:追踪微生物隔离的二氧化碳在土壤有机质中的去向

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The microbial contribution to soil organic matter (SOM) hasrnrecently been shown to be much larger than previously thought and thus itsrnrole in carbon sequestration may also be underestimated. In this study wernemploy ~(13)C(~(13)CO_2) to assess the potential CO_2 sequestration capacity of soilrnchemoautotrophic bacteria and combine nuclear magnetic resonance (NMR)rnwith stable isotope probing (SIP), techniques that independently make use ofrnthe isotopic enrichment of soil microbial biomass. In this way molecularrninformation generated from NMR is linked with identification of microbesrnresponsible for carbon capture. A mathematical model is developed torndetermine real-time ,CO_2 flux so that net sequestration can be calculated.rnTwenty-eight groups of bacteria showing close homologies with existingrnspecies were identified. Surprisingly, Ralstonia cutropha was the dominantrngroup. Through NMR we observed the formation of lipids, carbohydrates, andrnproteins produced directly from CO_2 utilized by microbial biomass. The component of SOM directly associated with CO_2rncapture was calculated at 2.86 mg C (89.21 mg kg~(-1)) after 48 h. This approach can differentiate between SOM derived throughrnmicrobial uptake of CO_2 and other SOM constituents and represents a first step in tracking the fate and dynamics of microbialrnbiomass in soil.
机译:微生物对土壤有机质(SOM)的贡献已被证明比以前认为的要大得多,因此其在固碳中的作用也可能被低估了。在这项研究中,我们使用〜(13)C(〜(13)CO_2)来评估土壤自养细菌的潜在CO_2隔离能力,并将核磁共振(NMR)和稳定同位素探测(SIP)结合起来,这是一种独立利用同位素富集的技术土壤微生物生物量。通过这种方式,由NMR产生的分子信息与鉴定负责碳捕获的微生物有关。建立了一个实时确定CO_2通量的数学模型,从而可以计算出净固存量。鉴定了28个与现有物种表现出高度同源性的细菌。令人惊讶的是,Ralstonia cutropha是优势群体。通过NMR,我们观察到了微生物生物质直接利用CO_2产生的脂质,碳水化合物和蛋白质的形成。 48小时后计算出与CO_2捕获直接相关的SOM成分为2.86 mg C(89.21 mg kg〜(-1))。这种方法可以区分通过微生物吸收CO_2产生的SOM和其他SOM成分,代表了追踪土壤中微生物生物量的命运和动态的第一步。

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  • 来源
    《Environmental Science & Technology》 |2013年第10期|5128-5137|共10页
  • 作者单位

    School of Chemical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland;

    The School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Lisburn Road, Belfast, BT9 5AG, Northern Ireland;

    The School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Lisburn Road, Belfast, BT9 5AG, Northern Ireland;

    Department of Chemistry, Division of Physical and Environmental Science, University of Toronto at Scarborough, 126S Military Trail, Toronto, Ontario M1C 1A4, Canada;

    Department of Mathematics and Statistics, Shackouls Honors College, Mississippi State University, Mississippi State, Mississippi 39762, United States;

    Department of Chemistry, Division of Physical and Environmental Science, University of Toronto at Scarborough, 126S Military Trail, Toronto, Ontario M1C 1A4, Canada;

    Department of Chemistry, Division of Physical and Environmental Science, University of Toronto at Scarborough, 126S Military Trail, Toronto, Ontario M1C 1A4, Canada;

    Department of Chemistry, Division of Physical and Environmental Science, University of Toronto at Scarborough, 126S Military Trail, Toronto, Ontario M1C 1A4, Canada;

    The School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Lisburn Road, Belfast, BT9 5AG, Northern Ireland;

    The School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Lisburn Road, Belfast, BT9 5AG, Northern Ireland;

    School of Chemical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland;

    School of Chemical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland,The Irish Separation Science Cluster, Ireland;

  • 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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