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Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession

The succession of microbial community structure and function is a central ecological topic, as microbes drive the Earth’s biogeochemical cycles. To elucidate the response and mechanistic underpinnings of soil microbial community structure and metabolic potential relevant to natural forest succession...

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Autores principales: Cong, Jing, Yang, Yunfeng, Liu, Xueduan, Lu, Hui, Liu, Xiao, Zhou, Jizhong, Li, Diqiang, Yin, Huaqun, Ding, Junjun, Zhang, Yuguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4421864/
https://www.ncbi.nlm.nih.gov/pubmed/25943705
http://dx.doi.org/10.1038/srep10007
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author Cong, Jing
Yang, Yunfeng
Liu, Xueduan
Lu, Hui
Liu, Xiao
Zhou, Jizhong
Li, Diqiang
Yin, Huaqun
Ding, Junjun
Zhang, Yuguang
author_facet Cong, Jing
Yang, Yunfeng
Liu, Xueduan
Lu, Hui
Liu, Xiao
Zhou, Jizhong
Li, Diqiang
Yin, Huaqun
Ding, Junjun
Zhang, Yuguang
author_sort Cong, Jing
collection PubMed
description The succession of microbial community structure and function is a central ecological topic, as microbes drive the Earth’s biogeochemical cycles. To elucidate the response and mechanistic underpinnings of soil microbial community structure and metabolic potential relevant to natural forest succession, we compared soil microbial communities from three adjacent natural forests: a coniferous forest (CF), a mixed broadleaf forest (MBF) and a deciduous broadleaf forest (DBF) on Shennongjia Mountain in central China. In contrary to plant communities, the microbial taxonomic diversity of the DBF was significantly (P < 0.05) higher than those of CF and MBF, rendering their microbial community compositions markedly different. Consistently, microbial functional diversity was also highest in the DBF. Furthermore, a network analysis of microbial carbon and nitrogen cycling genes showed the network for the DBF samples was relatively large and tight, revealing strong couplings between microbes. Soil temperature, reflective of climate regimes, was important in shaping microbial communities at both taxonomic and functional gene levels. As a first glimpse of both the taxonomic and functional compositions of soil microbial communities, our results suggest that microbial community structure and function potentials will be altered by future environmental changes, which have implications for forest succession.
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spelling pubmed-44218642015-05-20 Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession Cong, Jing Yang, Yunfeng Liu, Xueduan Lu, Hui Liu, Xiao Zhou, Jizhong Li, Diqiang Yin, Huaqun Ding, Junjun Zhang, Yuguang Sci Rep Article The succession of microbial community structure and function is a central ecological topic, as microbes drive the Earth’s biogeochemical cycles. To elucidate the response and mechanistic underpinnings of soil microbial community structure and metabolic potential relevant to natural forest succession, we compared soil microbial communities from three adjacent natural forests: a coniferous forest (CF), a mixed broadleaf forest (MBF) and a deciduous broadleaf forest (DBF) on Shennongjia Mountain in central China. In contrary to plant communities, the microbial taxonomic diversity of the DBF was significantly (P < 0.05) higher than those of CF and MBF, rendering their microbial community compositions markedly different. Consistently, microbial functional diversity was also highest in the DBF. Furthermore, a network analysis of microbial carbon and nitrogen cycling genes showed the network for the DBF samples was relatively large and tight, revealing strong couplings between microbes. Soil temperature, reflective of climate regimes, was important in shaping microbial communities at both taxonomic and functional gene levels. As a first glimpse of both the taxonomic and functional compositions of soil microbial communities, our results suggest that microbial community structure and function potentials will be altered by future environmental changes, which have implications for forest succession. Nature Publishing Group 2015-05-06 /pmc/articles/PMC4421864/ /pubmed/25943705 http://dx.doi.org/10.1038/srep10007 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Cong, Jing
Yang, Yunfeng
Liu, Xueduan
Lu, Hui
Liu, Xiao
Zhou, Jizhong
Li, Diqiang
Yin, Huaqun
Ding, Junjun
Zhang, Yuguang
Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
title Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
title_full Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
title_fullStr Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
title_full_unstemmed Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
title_short Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
title_sort analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4421864/
https://www.ncbi.nlm.nih.gov/pubmed/25943705
http://dx.doi.org/10.1038/srep10007
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