Ecological Department of Water Problems, Institute of the Russian Academy of Sciences, 3 Gubkina Str., Moscow, 119333, Russian Federation,
Antonie Van Leeuwenhoek. 2013 Dec;104(6):1097-108. doi: 10.1007/s10482-013-0031-1. Epub 2013 Sep 22.
System dynamics of nitrite-dependent anaerobic methane oxidation (N-DAMO) in a "Candidatus Methylomirabilis oxyfera" culture are described using a mathematical model based on chemical kinetics, microbial growth dynamics and equations for (13)C and (2)H isotopic fractionation. Experimental data for the N-DAMO model were taken from Rasigraf et al. (2012), who studied N-DAMO in a batch culture of "Ca. M. oxyfera" started at two different conditions with varying methane, nitrite and biomass concentrations. In the model, instead of using concentrations of each isotopologue ((12)C and (13)C, (1)H and (2)H), total concentrations and respective isotope ratios were considered as variables. The empirical Monod equations, which included methane and nitrite as two rate-limiting substrates, a threshold methane concentration CH 4min below which there was no biomass growth, and the same kinetic coefficients for the separate batch experiments, fitted the experimental data much better than apparent first-order kinetics that required rather different kinetic coefficients for the two experiments. Non-linear dynamics of (13)C and (2)H isotopic signatures were obtained based on the N-DAMO model. It was shown that rate limitation by methane or nitrite concentrations significantly affected the dynamics of carbon and hydrogen isotopic signatures. Fractionation rate increased at higher initial biomass concentration. The non-linear N-DAMO model satisfactorily described experimental data presented in the two-dimensional plot of hydrogen versus carbon stable isotopic signatures.
亚硝酸依赖性厌氧甲烷氧化(N-DAMO)的系统动力学在“Candidatus Methylomirabilis oxyfera”培养物中使用基于化学动力学、微生物生长动力学和(13)C 和(2)H 同位素分馏方程的数学模型进行描述。N-DAMO 模型的实验数据取自 Rasigraf 等人(2012 年)的研究,他们在“Ca. M. oxyfera”的分批培养中研究了 N-DAMO,起始时两种条件下甲烷、亚硝酸盐和生物质浓度不同。在该模型中,不是使用每个同位素((12)C 和 (13)C、(1)H 和 (2)H)的浓度,而是考虑总浓度和各自的同位素比值作为变量。经验性的 Monod 方程,包括甲烷和亚硝酸盐作为两种限速底物、低于 CH 4min 的甲烷浓度阈值,即没有生物质生长,以及相同的动力学系数用于单独的分批实验,比需要两个实验中非常不同的动力学系数的明显一级动力学更好地拟合实验数据。基于 N-DAMO 模型获得了(13)C 和(2)H 同位素特征的非线性动力学。结果表明,甲烷或亚硝酸盐浓度的限制显著影响了碳和氢同位素特征的动力学。初始生物质浓度较高时,分馏速率增加。非线性 N-DAMO 模型很好地描述了在氢与碳稳定同位素特征的二维图中呈现的实验数据。