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The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China
Soil bacteria are important drivers of biogeochemical cycles and participate in many nutrient transformations in the soil. Meanwhile, bacterial diversity and community composition are related to soil physic-chemical properties and vegetation factors. However, how the soil and vegetation factors affe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381875/ https://www.ncbi.nlm.nih.gov/pubmed/28379996 http://dx.doi.org/10.1371/journal.pone.0174411 |
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author | Wei, Zhiwen Hu, Xiaolong Li, Xunhang Zhang, Yanzhou Jiang, Leichun Li, Jing Guan, Zhengbing Cai, Yujie Liao, Xiangru |
author_facet | Wei, Zhiwen Hu, Xiaolong Li, Xunhang Zhang, Yanzhou Jiang, Leichun Li, Jing Guan, Zhengbing Cai, Yujie Liao, Xiangru |
author_sort | Wei, Zhiwen |
collection | PubMed |
description | Soil bacteria are important drivers of biogeochemical cycles and participate in many nutrient transformations in the soil. Meanwhile, bacterial diversity and community composition are related to soil physic-chemical properties and vegetation factors. However, how the soil and vegetation factors affect the diversity and community composition of bacteria is poorly understood, especially for bacteria associated with evergreen and deciduous trees in subtropical forest ecosystems. In the present paper, the microbial communities of rhizospheric soils associated with different types of trees were analyzed by Illumina MiSeq sequencing the V3-V4 region of the 16S rRNA gene. A total of 121,219 effective 16S rRNA gene sequences were obtained, which were classified into 29 bacterial phyla and 2 archaeal phyla. The dominant phyla across all samples (>5% of good-quality sequences in each sample) were Proteobacteria, Acidobacteria, Firmicutes and Bacteroidetes. The bacterial community composition and diversity were largely affected by both soil pH and tree species. The soil pH was the key factor influencing bacterial diversity, with lower pH associated with less diverse communities. Meanwhile, the contents of NO(3)(−) were higher in evergreen tree soils than those associated with deciduous trees, while less NH(4)(+) than those associated with deciduous trees, leading to a lower pH and indirectly influencing the diversity and composition of the bacteria. The co-occurrence patterns were assessed by network analysis. A total of 415 pairs of significant and robust correlations (co-occurrence and negative) were identified from 89 genera. Sixteen hubs of co-occurrence patterns, mainly under the phyla Acidobacteria, Proteobacteria, Firmicutes and Bacteroidetes, may play important roles in sustaining the stability of the rhizospheric microbial communities. In general, our results suggested that local environmental conditions and soil pH were important in shaping the bacterial community of the Taihu Lake zone in east China. |
format | Online Article Text |
id | pubmed-5381875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53818752017-04-19 The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China Wei, Zhiwen Hu, Xiaolong Li, Xunhang Zhang, Yanzhou Jiang, Leichun Li, Jing Guan, Zhengbing Cai, Yujie Liao, Xiangru PLoS One Research Article Soil bacteria are important drivers of biogeochemical cycles and participate in many nutrient transformations in the soil. Meanwhile, bacterial diversity and community composition are related to soil physic-chemical properties and vegetation factors. However, how the soil and vegetation factors affect the diversity and community composition of bacteria is poorly understood, especially for bacteria associated with evergreen and deciduous trees in subtropical forest ecosystems. In the present paper, the microbial communities of rhizospheric soils associated with different types of trees were analyzed by Illumina MiSeq sequencing the V3-V4 region of the 16S rRNA gene. A total of 121,219 effective 16S rRNA gene sequences were obtained, which were classified into 29 bacterial phyla and 2 archaeal phyla. The dominant phyla across all samples (>5% of good-quality sequences in each sample) were Proteobacteria, Acidobacteria, Firmicutes and Bacteroidetes. The bacterial community composition and diversity were largely affected by both soil pH and tree species. The soil pH was the key factor influencing bacterial diversity, with lower pH associated with less diverse communities. Meanwhile, the contents of NO(3)(−) were higher in evergreen tree soils than those associated with deciduous trees, while less NH(4)(+) than those associated with deciduous trees, leading to a lower pH and indirectly influencing the diversity and composition of the bacteria. The co-occurrence patterns were assessed by network analysis. A total of 415 pairs of significant and robust correlations (co-occurrence and negative) were identified from 89 genera. Sixteen hubs of co-occurrence patterns, mainly under the phyla Acidobacteria, Proteobacteria, Firmicutes and Bacteroidetes, may play important roles in sustaining the stability of the rhizospheric microbial communities. In general, our results suggested that local environmental conditions and soil pH were important in shaping the bacterial community of the Taihu Lake zone in east China. Public Library of Science 2017-04-05 /pmc/articles/PMC5381875/ /pubmed/28379996 http://dx.doi.org/10.1371/journal.pone.0174411 Text en © 2017 Wei et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wei, Zhiwen Hu, Xiaolong Li, Xunhang Zhang, Yanzhou Jiang, Leichun Li, Jing Guan, Zhengbing Cai, Yujie Liao, Xiangru The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China |
title | The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China |
title_full | The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China |
title_fullStr | The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China |
title_full_unstemmed | The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China |
title_short | The rhizospheric microbial community structure and diversity of deciduous and evergreen forests in Taihu Lake area, China |
title_sort | rhizospheric microbial community structure and diversity of deciduous and evergreen forests in taihu lake area, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381875/ https://www.ncbi.nlm.nih.gov/pubmed/28379996 http://dx.doi.org/10.1371/journal.pone.0174411 |
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