Lennon Erin F E, Houlton Benjamin Z
Department of Land Air and Water Resources, University of California at Davis, Davis, CA, USA.
ISME J. 2017 Mar;11(3):727-740. doi: 10.1038/ismej.2016.147. Epub 2016 Dec 9.
Denitrification removes ecologically available nitrogen (N) from the biosphere and influences both the pace and magnitude of global climate change. Disagreements exist over the degree to which this microbial process influences N-availability patterns across Earth's ecosystems. We combine natural stable isotope methods with qPCR to investigate how denitrifier gene abundance is related to variations in nitrate (NO) pool sizes across diverse terrestrial biomes and conditions. We analyze NO isotope composition (N/N, O/O) and denitrifier gene nirS in 52 soil samples from different California ecosystems, spanning desert, chaparral, oak-woodland/savanna and forest. δN-NO correlates positively with δO-NO (P⩽0.03) and nirS abundance (P=0.00002) across sites, revealing the widespread importance of isotopic discrimination by soil denitrifiers. Furthermore, NO concentrations correlate negatively to nirS (P=0.002) and δN-NO (P=0.003) across sites. We also observe these spatial relationships in short-term (7-day), in situ soil-incubation experiments; NO-depletion strongly corresponds with increased nirS, nirS/16 rRNA, and enrichment of heavy NO isotopes over time. Overall, these findings suggest that microbial denitrification can consume plant-available NO to low levels at multiple time scales, contributing to N-limitation patterns across sites, particularly in moist, carbon-rich soils. Furthermore, our study provides a new approach for understanding the relationships between microbial gene abundance and terrestrial ecosystem functioning.
反硝化作用从生物圈中去除生态可利用的氮(N),并影响全球气候变化的速度和幅度。关于这个微生物过程对地球生态系统中氮有效性模式的影响程度,存在不同意见。我们将自然稳定同位素方法与定量聚合酶链反应(qPCR)相结合,以研究反硝化基因丰度如何与不同陆地生物群落和条件下硝酸盐(NO)库大小的变化相关。我们分析了来自加利福尼亚不同生态系统(包括沙漠、丛林、橡树林地/稀树草原和森林)的52个土壤样本中的NO同位素组成(N/N,O/O)和反硝化基因nirS。跨站点的δN-NO与δO-NO(P⩽0.03)和nirS丰度(P = 0.00002)呈正相关,揭示了土壤反硝化菌进行同位素分馏的广泛重要性。此外,跨站点的NO浓度与nirS(P = 0.002)和δN-NO(P = 0.003)呈负相关。我们还在短期(7天)原位土壤培养实验中观察到了这些空间关系;随着时间的推移,NO的消耗与nirS、nirS/16 rRNA的增加以及重NO同位素的富集密切相关。总体而言,这些发现表明,微生物反硝化作用可以在多个时间尺度上把植物可利用的NO消耗到低水平,导致不同地点出现氮限制模式,特别是在湿润、富碳的土壤中。此外,我们的研究为理解微生物基因丰度与陆地生态系统功能之间的关系提供了一种新方法。