School of Environmental Studies, China University of Geosciences, Wuhan 430074, People's Republic of China.
Pacific Northwest National Laboratory, Richland, WA 99354, USA.
Environ Microbiol Rep. 2017 Oct;9(5):512-521. doi: 10.1111/1758-2229.12558. Epub 2017 Jul 13.
Microbial enzymes catalytically drive biogeochemical processes in environments. The dynamic linkage between functional enzymes and biogeochemical species transformation has, however, rarely been investigated for decades because of the challenges to directly quantify enzymes in environmental samples. The diversity of microorganisms, the low amount of available biomass and the complexity of chemical composition in environmental samples represent the main challenges. To address the diversity challenge, we first identify several signature peptides that are conserved in the targeted enzymes with the same functionality across many phylogenetically diverse microorganisms using metagenome-based protein sequence data. Quantification of the signature peptides then allows estimation of the targeted enzyme abundance. To achieve analyses of the requisite sensitivity for complex environmental samples with low available biomass, we adapted a recently developed ultrasensitive targeted quantification technology, termed high-pressure high-resolution separations with intelligent selection and multiplexing (PRISM) by improving peptide separation efficiency and method detection sensitivity. Nitrate reduction dynamics catalyzed by dissimilatory and assimilatory enzymes in a hyporheic zone sediment was used as an example to demonstrate the application of the enzyme quantification approach. Together with the measurements of biogeochemical species, the approach enables investigating the dynamic linkage between functional enzymes and biogeochemical processes.
微生物酶在环境中催化驱动生物地球化学过程。然而,由于直接定量环境样品中酶的挑战,数十年来,功能酶与生物地球化学物质转化之间的动态联系很少被研究。微生物的多样性、可用生物量的少量和环境样品化学成分的复杂性是主要挑战。为了解决多样性挑战,我们首先使用基于宏基因组的蛋白质序列数据,在许多具有不同系统发育的微生物中,鉴定出几种在靶向酶中保守的特征肽,这些酶具有相同的功能。然后通过定量分析特征肽来估计靶向酶的丰度。为了实现对具有低生物量的复杂环境样品进行必需的灵敏度分析,我们改进了肽分离效率和方法检测灵敏度,对最近开发的超灵敏靶向定量技术,即高分辨率高压分离与智能选择和多重化(PRISM)进行了改进。以底栖区沉积物中异化和同化酶催化的硝酸盐还原动力学为例,展示了酶定量方法的应用。该方法与生物地球化学物质的测量相结合,能够研究功能酶与生物地球化学过程之间的动态联系。