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通过明确表示反硝化酶动力学来模拟土壤中一氧化二氮的产生和还原。

Modeling nitrous oxide production and reduction in soil through explicit representation of denitrification enzyme kinetics.

机构信息

Atmospheric Sciences Program, ‡Department of Civil and Environmental Engineering, and §School of Forest Resources and Environmental Science, Michigan Technological University , Houghton, Michigan 49931-1295, United States.

出版信息

Environ Sci Technol. 2015 Feb 17;49(4):2132-9. doi: 10.1021/es504513v. Epub 2015 Jan 27.

Abstract

An enzyme-explicit denitrification model with representations for pre- and de novo synthesized enzymes was developed to improve predictions of nitrous oxide (N2O) accumulations in soil and emissions from the surface. The metabolic model of denitrification is based on dual-substrate utilization and Monod growth kinetics. Enzyme synthesis/activation was incorporated into each sequential reduction step of denitrification to regulate dynamics of the denitrifier population and the active enzyme pool, which controlled the rate function. Parameterizations were developed from observations of the dynamics of N2O production and reduction in soil incubation experiments. The model successfully reproduced the dynamics of N2O and N2 accumulation in the incubations and revealed an important regulatory effect of denitrification enzyme kinetics on the accumulation of denitrification products. Pre-synthesized denitrification enzymes contributed 20, 13, 43, and 62% of N2O that accumulated in 48 h incubations of soil collected from depths of 0-5, 5-10, 10-15, and 15-25 cm, respectively. An enzyme activity function (E) was defined to estimate the relative concentration of active enzymes and variation in response to environmental conditions. The value of E allows for activities of pre-synthesized denitrification enzymes to be differentiated from de novo synthesized enzymes. Incorporating explicit representations of denitrification enzyme kinetics into biogeochemical models is a promising approach for accurately simulating dynamics of the production and reduction of N2O in soils.

摘要

开发了一种具有预合成和从头合成酶表示的酶显式反硝化模型,以提高对土壤中一氧化二氮 (N2O) 积累和表面排放的预测。反硝化的代谢模型基于双底物利用和 Monod 生长动力学。酶合成/激活被纳入反硝化的每个顺序还原步骤中,以调节反硝化菌种群和活性酶库的动态,从而控制速率函数。参数化是从土壤培养实验中观察到的 N2O 产生和还原动力学中得到的。该模型成功地再现了培养物中 N2O 和 N2 的积累动力学,并揭示了反硝化酶动力学对反硝化产物积累的重要调节作用。预合成的反硝化酶分别贡献了 48 小时培养物中 0-5、5-10、10-15 和 15-25 cm 深度土壤中积累的 N2O 的 20%、13%、43%和 62%。定义了酶活性函数 (E) 来估计活性酶的相对浓度和对环境条件变化的响应。E 值允许区分预合成反硝化酶和从头合成酶的活性。将反硝化酶动力学的显式表示纳入生物地球化学模型是准确模拟土壤中 N2O 产生和还原动力学的一种很有前途的方法。

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