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农业弃耕后植被恢复过程中净氮转化速率与氮功能基因的定量响应关系。

Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment.

机构信息

State Key Laboratory of Soil Erosion and Dry land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling, 712100, Shaanxi, China.

出版信息

Sci Rep. 2017 Aug 10;7(1):7752. doi: 10.1038/s41598-017-08016-8.

Abstract

A comprehensive understanding of how microbial associated with nitrogen (N) cycling respond to artificial vegetation restoration is still lacking, particularly in arid to semi-arid degraded ecosystems. We compared soil net N mineralization rates and the abundance of bacteria, archaea, and eleven N microbial genes on the northern Loess Plateau of China during the process of artificial vegetation restoration. The quantitative relationships between net N mineralization rates and N microbial genes were determined. We observed a significant difference of net transformation rates of NH-N (R), NO-N (R), and total mineralization (R), which rapidly decreased in 10-year soils and steadily increased in the 10-30-year soils. Different N functional microbial groups responded to artificial vegetation restoration distinctly and differentially, especially for denitrifying bacteria. Stepwise regression analysis suggested that R was collectively controlled by AOA-amoA and Archaea; R was jointly governed by narG, napA, nxrA, and bacreria; and R was jointly controlled by napA, narG, nirK, nirS, norB, nosZ, and nxrA.

摘要

全面了解与氮(N)循环相关的微生物对人工植被恢复的响应仍然缺乏,特别是在干旱和半干旱退化生态系统中。本研究比较了中国北方黄土高原人工植被恢复过程中土壤净氮矿化速率和细菌、古菌以及 11 种 N 微生物基因的丰度,并确定了净氮矿化速率与 N 微生物基因之间的定量关系。结果表明,NH-N(R)、NO-N(R)和总矿化(R)的净转化速率存在显著差异,其中 10 年土壤中的净转化速率迅速下降,而 10-30 年土壤中的净转化速率则稳定增加。不同的 N 功能微生物群对人工植被恢复的响应明显不同,特别是反硝化细菌。逐步回归分析表明,R 由 AOA-amoA 和古菌共同控制;R 由 narG、napA、nxrA 和 bacreria 共同控制;R 由 napA、narG、nirK、nirS、norB、nosZ 和 nxrA 共同控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f745/5552692/3e1c16701986/41598_2017_8016_Fig1_HTML.jpg

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