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首页> 外文期刊>Environmental Science & Technology >Molecular Biomarker-Based Biokinetic Modeling of a PCE-Dechlorinating and Methanogenic Mixed Culture
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Molecular Biomarker-Based Biokinetic Modeling of a PCE-Dechlorinating and Methanogenic Mixed Culture

机译:基于分子生物标记的PCE脱氯和产甲烷混合培养物的生物动力学建模

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摘要

Bioremediation of chlorinated ethenes via anaerobic reductive dechlorination relies upon the activity of specific microbial populations - most notably Dehalococcoides (DHC) strains, In the lab and field Dehalococcoides grow most robustly in mixed communities which usually contain both fermenters and methanogens. Recently, researchers have been developing quantitative molecular biomarkers to aid in field site diagnostics and it is hoped that these biomarkers could aid in the modeling of anaerobic reductive dechlorination. A comprehensive biokinetic model of a community containing Dehalococcoides mccartyi (formerly D. ethenogenes) was updated to describe continuously fed reactors with specific biomass levels based on quantitative PCR (qPCR)-based population data (DNA and RNA). The model was calibrated and validated with subsets of chemical and molecular biological data from various continuous feed experiments (n = 24) with different loading rates of the electron acceptor (1.5 to 482 μeeq/L-h), types of electron acceptor (PCE, TCE, cis-DCE) and electron donor to electron acceptor ratios. The resulting model predicted the sum of dechlorination products vinyl chloride (VC) and ethene (ETH) well. However, VC alone was under-predicted and ETH was over predicted. Consequently, competitive inhibition among chlorinated ethenes was examined and then added to the model. Additionally, as 16S rRNA gene copy numbers did not provide accurate model fits in all cases, we examined whether an improved fit could be obtained if mRNA levels for key functional enzymes could be used to infer respiration rates. The resulting empirically derived mRNA "adjustment factors" were added to the model for both DHC and the main methanogen in the culture (a Methanosaeta species) to provide a more nuanced prediction of activity. Results of this study suggest that at higher feeding rates competitive inhibition is important and mRNA provides a more accurate indicator of a population's instantaneous activity than 16S rRNA gene copies alone as biomass estimates.
机译:通过厌氧还原性脱氯对氯化乙烯进行生物修复取决于特定微生物种群的活动-最明显的是Dehaloccocoides(DHC)菌株。在实验室和田间,Dehaloccocoides在通常包含发酵剂和产甲烷菌的混合社区中生长最强劲。最近,研究人员一直在开发定量的分子生物标记物,以辅助现场诊断,希望这些生物标记物可以对厌氧还原脱氯建模。更新了一个包含Dehalococcoides mccartyi(原名D. ethenogenes)的群落的全面生物动力学模型,以基于基于定量PCR(qPCR)的种群数据(DNA和RNA)描述具有特定生物量水平的连续进料反应堆。使用来自各种连续进料实验(n = 24)的化学和分子生物学数据的子集对模型进行校准和验证,这些实验具有不同的电子受体加载速率(1.5至482μeeq/ Lh),电子受体的类型(PCE,TCE,顺式DCE)和电子给体与电子受体的比率。生成的模型很好地预测了脱氯产物氯乙烯(VC)和乙烯(ETH)的总和。但是,仅VC被低估了,而ETH被高估了。因此,检查了氯化乙烯之间的竞争抑制作用,然后将其添加到模型中。此外,由于16S rRNA基因拷贝数在所有情况下均不能提供准确的模型拟合,因此我们研究了如果关键功能酶的mRNA水平可以用来推断呼吸速率,是否可以提高拟合度。将所得的经验得出的mRNA“调节因子”添加到DHC和培养物中主要产甲烷菌(甲烷菌属)的模型中,以提供更细微的活性预测。这项研究的结果表明,在较高的进食速率下,竞争抑制很重要,并且与单独的16S rRNA基因拷贝(作为生物量估算值)相比,mRNA提供了更准确的种群瞬时活动指标。

著录项

  • 来源
    《Environmental Science & Technology》 |2013年第8期|3724-3733|共10页
  • 作者单位

    School of Civil and Environmental Engineering, Cornell University, Ithaca, NY;

    Department of Microbiology, Cornell University, Ithaca, NY;

    School of Civil and Environmental Engineering, Cornell University, Ithaca, NY;

    School of Civil and Environmental Engineering, Cornell University, Ithaca, NY;

    School of Civil and Environmental Engineering, Cornell University, Ithaca, NY;

    School of Civil and Environmental Engineering, Cornell University, Ithaca, NY;

  • 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);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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