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

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 e...

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Autores principales:	Honglei Wang, Na Deng, Duoyang Wu, Shu Hu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/01ea62102af04f0587205b8105f29ed7
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spelling	oai:doaj.org-article:01ea62102af04f0587205b8105f29ed72021-12-02T15:06:27ZQuantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment10.1038/s41598-017-08016-82045-2322https://doaj.org/article/01ea62102af04f0587205b8105f29ed72017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08016-8https://doaj.org/toc/2045-2322Abstract 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 NH4 +-N (Ra), NO3 −-N (Rd), and total mineralization (Rm), 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 Ra was collectively controlled by AOA-amoA and Archaea; Rd was jointly governed by narG, napA, nxrA, and bacreria; and Rm was jointly controlled by napA, narG, nirK, nirS, norB, nosZ, and nxrA.Honglei WangNa DengDuoyang WuShu HuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Honglei Wang Na Deng Duoyang Wu Shu Hu Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
description	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 NH4 +-N (Ra), NO3 −-N (Rd), and total mineralization (Rm), 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 Ra was collectively controlled by AOA-amoA and Archaea; Rd was jointly governed by narG, napA, nxrA, and bacreria; and Rm was jointly controlled by napA, narG, nirK, nirS, norB, nosZ, and nxrA.
format	article
author	Honglei Wang Na Deng Duoyang Wu Shu Hu
author_facet	Honglei Wang Na Deng Duoyang Wu Shu Hu
author_sort	Honglei Wang
title	Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
title_short	Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
title_full	Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
title_fullStr	Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
title_full_unstemmed	Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
title_sort	quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/01ea62102af04f0587205b8105f29ed7
work_keys_str_mv	AT hongleiwang quantitativeresponserelationshipsbetweennetnitrogentransformationratesandnitrogenfunctionalgenesduringartificialvegetationrestorationfollowingagriculturalabandonment AT nadeng quantitativeresponserelationshipsbetweennetnitrogentransformationratesandnitrogenfunctionalgenesduringartificialvegetationrestorationfollowingagriculturalabandonment AT duoyangwu quantitativeresponserelationshipsbetweennetnitrogentransformationratesandnitrogenfunctionalgenesduringartificialvegetationrestorationfollowingagriculturalabandonment AT shuhu quantitativeresponserelationshipsbetweennetnitrogentransformationratesandnitrogenfunctionalgenesduringartificialvegetationrestorationfollowingagriculturalabandonment
_version_	1718388428824903680

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

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