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

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 m...

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Autores principales: Wang, Honglei, Deng, Na, Wu, Duoyang, Hu, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552692/
https://www.ncbi.nlm.nih.gov/pubmed/28798309
http://dx.doi.org/10.1038/s41598-017-08016-8
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author Wang, Honglei
Deng, Na
Wu, Duoyang
Hu, Shu
author_facet Wang, Honglei
Deng, Na
Wu, Duoyang
Hu, Shu
author_sort Wang, Honglei
collection PubMed
description 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(4) (+)-N (R(a)), NO(3) (−)-N (R(d)), and total mineralization (R(m)), 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(a) was collectively controlled by AOA-amoA and Archaea; R(d) was jointly governed by narG, napA, nxrA, and bacreria; and R(m) was jointly controlled by napA, narG, nirK, nirS, norB, nosZ, and nxrA.
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spelling pubmed-55526922017-08-14 Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment Wang, Honglei Deng, Na Wu, Duoyang Hu, Shu Sci Rep Article 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(4) (+)-N (R(a)), NO(3) (−)-N (R(d)), and total mineralization (R(m)), 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(a) was collectively controlled by AOA-amoA and Archaea; R(d) was jointly governed by narG, napA, nxrA, and bacreria; and R(m) was jointly controlled by napA, narG, nirK, nirS, norB, nosZ, and nxrA. Nature Publishing Group UK 2017-08-10 /pmc/articles/PMC5552692/ /pubmed/28798309 http://dx.doi.org/10.1038/s41598-017-08016-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Honglei
Deng, Na
Wu, Duoyang
Hu, Shu
Quantitative response relationships between net nitrogen transformation rates and nitrogen functional genes during artificial vegetation restoration following agricultural abandonment
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552692/
https://www.ncbi.nlm.nih.gov/pubmed/28798309
http://dx.doi.org/10.1038/s41598-017-08016-8
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