Department of Plant and Soil Sciences, University of Delaware, Newark, DE, 19716, USA.
Department of Civil Engineering, The Catholic University of America, Washington DC, 20064, USA.
Water Res. 2017 Dec 1;126:262-273. doi: 10.1016/j.watres.2017.09.025. Epub 2017 Sep 17.
Abiotic and biotic reactions operate side by side in the cycling of phosphorus (P) in the environment, but the relative roles of these two reactions vary both spatially and temporally. In biotic reactions, the uptake and release of P are catalyzed by enzymes and thus change phosphate oxygen isotope ratios, while in abiotic reactions, the absence of hydrolysis-condensation reactions results in no apparent changes in isotope composition, except short-term kinetic isotope effect due solely to preferential ion exchange. Therefore, isotope method could be a promising tool to differentiate relative roles of these two reactions in the environment but the relationship of the dynamic concentration and isotope exchange at the biota-water interface is largely unknown. In this study, we aimed to develop a process-based isotope model underpinning the competition of abiotic (sorption, desorption, and ion exchange) and biotic (uptake, metabolism, and release) reactions during uptake and recycling of ferrihydrite-bound P by E. coli. Our model comprises equations describing the partitioning relationship among different P pools and their corresponding oxygen isotope compositions and is based exclusively on oxygen isotope exchange at multiple sites including mineral surface, aqueous phase, and bacterial cells. The process-based model adequately reproduced the measured concentration and isotope compositions over time. Furthermore, parametric and sensitivity analyses using the model indicated that the rate of biological uptake of P was the major factor controlling the changes of phosphate isotope composition. In conclusion, our model provides new insights into a mechanistic aspect of isotope exchange and could be potentially useful for future efforts to understand the interplay of biotic and abiotic factors on phosphorus cycling in natural environments.
在环境中磷(P)的循环过程中,非生物和生物反应并肩运作,但这两种反应的相对作用在空间和时间上都有所不同。在生物反应中,酶催化 P 的吸收和释放,从而改变磷酸盐氧同位素比值,而在非生物反应中,由于缺乏水解-缩合反应,除了由于优先离子交换而仅产生短期动力学同位素效应外,同位素组成没有明显变化。因此,同位素方法可能是区分这两种反应在环境中相对作用的一种很有前途的工具,但生物群-水界面处动态浓度和同位素交换的关系在很大程度上尚不清楚。在这项研究中,我们旨在开发一个基于过程的同位素模型,该模型支持在 E. coli 吸收和回收铁氢氧化物结合的 P 过程中,非生物(吸附、解吸和离子交换)和生物(吸收、代谢和释放)反应之间的竞争。我们的模型包括描述不同 P 库及其相应氧同位素组成之间分配关系的方程,并且完全基于包括矿物表面、水相和细菌细胞在内的多个位点的氧同位素交换。基于过程的模型能够充分再现随时间变化的测量浓度和同位素组成。此外,使用模型进行的参数和敏感性分析表明,P 的生物吸收速率是控制磷酸盐同位素组成变化的主要因素。总之,我们的模型为同位素交换的机制方面提供了新的见解,并可能有助于未来努力理解生物和非生物因素对自然环境中磷循环的相互作用。