Key Laboratory of Water and Sediment Sciences, Ministry of Education, Department of Environmental Engineering, Peking University, Beijing 100871, China.
Key Laboratory of Water and Sediment Sciences, Ministry of Education, Department of Environmental Engineering, Peking University, Beijing 100871, China.
Environ Pollut. 2019 Nov;254(Pt A):112903. doi: 10.1016/j.envpol.2019.07.071. Epub 2019 Jul 17.
Dissimilatory nitrate reduction to ammonia (DNRA) is an important nitrate reduction pathway in lake sediments; however, little is known about the biotic factors driving the DNRA potential rates and contributions to the fate of nitrate. This study reports the first investigation of DNRA potential rates and contributions in lake sediments linked to DNRA community structures. The results of N isotope-tracing incubation experiments showed that 12 lakes had distinct DNRA potentials, which could be clustered into 2 groups, one with higher DNRA potentials (rates varied from 2.7 to 5.0 nmol N g h and contributions varied from 27.5% to 35.4%) and another with lower potentials (rates varied from 0.6 to 2.3 nmol N g h and contributions varied from 8.1% to 22.8%). Sediment C/N and the abundance of the nrfA gene were the key abiotic and biotic factors accounting for the distinct DNRA potential rates, respectively. A high-throughput sequencing analysis of the nrfA gene revealed that the sediment C/N could also affect the DNRA potential rates by altering the ecological patterns of the DNRA community composition. In addition, the interactions between the DNRA community and the denitrifying community were found to be obviously different in the two groups. In the higher DNRA potential group, the DNRA community mainly interacted with heterotrophic denitrifiers, while in the lower DNRA potential group, both heterotrophic and sulfur-driven autotrophic denitrifiers might cooperate with the DNRA community. The present study highlighted the role of the sulfur-driven nitrate reduction pathway in C-limited sediments, which has always been overlooked in freshwater environments, and gave new insights into the molecular mechanism influencing the fate of nitrate.
异化硝酸盐还原为氨(DNRA)是湖泊沉积物中一种重要的硝酸盐还原途径;然而,对于驱动 DNRA 潜力速率的生物因素及其对硝酸盐命运的贡献,人们知之甚少。本研究首次报道了与 DNRA 群落结构相关的湖泊沉积物中 DNRA 潜力速率和贡献的研究结果。氮同位素示踪培养实验的结果表明,12 个湖泊具有明显的 DNRA 潜力,可分为 2 组,一组具有较高的 DNRA 潜力(速率范围为 2.7 至 5.0 nmol N g h,贡献范围为 27.5%至 35.4%),另一组具有较低的潜力(速率范围为 0.6 至 2.3 nmol N g h,贡献范围为 8.1%至 22.8%)。沉积物 C/N 和 nrfA 基因丰度分别是解释明显不同的 DNRA 潜力速率的关键非生物和生物因素。nrfA 基因高通量测序分析表明,沉积物 C/N 还可以通过改变 DNRA 群落组成的生态模式来影响 DNRA 潜力速率。此外,发现两组中 DNRA 群落与反硝化群落之间的相互作用明显不同。在较高的 DNRA 潜力组中,DNRA 群落主要与异养反硝化菌相互作用,而在较低的 DNRA 潜力组中,异养和硫驱动的自养反硝化菌可能与 DNRA 群落合作。本研究强调了硫驱动的硝酸盐还原途径在 C 限制沉积物中的作用,这在淡水环境中一直被忽视,并为影响硝酸盐命运的分子机制提供了新的见解。