Granger Julie, Wankel Scott D
Department of Marine Sciences, University of Connecticut, Groton, CT 06340;
Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA 02540
Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):E6391-E6400. doi: 10.1073/pnas.1601383113. Epub 2016 Oct 4.
Natural abundance nitrogen and oxygen isotopes of nitrate (δN and δO) provide an important tool for evaluating sources and transformations of natural and contaminant nitrate (NO) in the environment. Nevertheless, conventional interpretations of NO isotope distributions appear at odds with patterns emerging from studies of nitrifying and denitrifying bacterial cultures. To resolve this conundrum, we present results from a numerical model of NO isotope dynamics, demonstrating that deviations in δO vs. δN from a trajectory of 1 expected for denitrification are explained by isotopic over-printing from coincident NO production by nitrification and/or anammox. The analysis highlights two driving parameters: (i) the δO of ambient water and (ii) the relative flux of NO production under net denitrifying conditions, whether catalyzed aerobically or anaerobically. In agreement with existing analyses, dual isotopic trajectories >1, characteristic of marine denitrifying systems, arise predominantly under elevated rates of NO reoxidation relative to NO reduction (>50%) and in association with the elevated δO of seawater. This result specifically implicates aerobic nitrification as the dominant NO producing term in marine denitrifying systems, as stoichiometric constraints indicate anammox-based NO production cannot account for trajectories >1. In contrast, trajectories <1 comprise the majority of model solutions, with those representative of aquifer conditions requiring lower NO reoxidation fluxes (<15%) and the influence of the lower δO of freshwater. Accordingly, we suggest that widely observed δO vs. δN trends in freshwater systems (<1) must result from concurrent NO production by anammox in anoxic aquifers, a process that has been largely overlooked.
硝酸盐的天然丰度氮和氧同位素(δN和δO)为评估环境中天然和污染性硝酸盐(NO)的来源及转化提供了重要工具。然而,对NO同位素分布的传统解释似乎与硝化和反硝化细菌培养研究中出现的模式不一致。为了解决这一难题,我们展示了NO同位素动力学数值模型的结果,表明δO与δN相对于反硝化预期的1轨迹的偏差可由硝化和/或厌氧氨氧化同时产生NO的同位素叠加来解释。该分析突出了两个驱动参数:(i)环境水的δO和(ii)净反硝化条件下NO产生的相对通量,无论其是有氧还是无氧催化。与现有分析一致,海洋反硝化系统特有的双同位素轨迹>1主要出现在NO再氧化速率相对于NO还原速率升高(>50%)且与海水δO升高相关的情况下。这一结果具体表明有氧硝化是海洋反硝化系统中主要的NO产生项,因为化学计量学限制表明基于厌氧氨氧化的NO产生无法解释轨迹>1的情况。相比之下,轨迹<1构成了大多数模型解,其中代表含水层条件的轨迹需要较低的NO再氧化通量(<15%)以及淡水较低δO的影响。因此,我们认为在淡水系统中广泛观察到的δO与δN趋势(<1)必定是由缺氧含水层中厌氧氨氧化同时产生NO导致的,而这一过程在很大程度上被忽视了。