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Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China
Bacteria are the highest abundant microorganisms in the soil. To investigate bacteria community structures, diversity, and functions, contrasting them in four different seasons all the year round with/within two different forest type soils of China. We analyzed soil bacterial community based on 16S...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080587/ https://www.ncbi.nlm.nih.gov/pubmed/30108560 http://dx.doi.org/10.3389/fmicb.2018.01693 |
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author | Wei, Hua Peng, Changhui Yang, Bin Song, Hanxiong Li, Quan Jiang, Lin Wei, Gang Wang, Kefeng Wang, Hui Liu, Shirong Liu, Xiaojing Chen, Dexiang Li, Yide Wang, Meng |
author_facet | Wei, Hua Peng, Changhui Yang, Bin Song, Hanxiong Li, Quan Jiang, Lin Wei, Gang Wang, Kefeng Wang, Hui Liu, Shirong Liu, Xiaojing Chen, Dexiang Li, Yide Wang, Meng |
author_sort | Wei, Hua |
collection | PubMed |
description | Bacteria are the highest abundant microorganisms in the soil. To investigate bacteria community structures, diversity, and functions, contrasting them in four different seasons all the year round with/within two different forest type soils of China. We analyzed soil bacterial community based on 16S rRNA gene sequencing via Illumina HiSeq platform at a temperate deciduous broad-leaved forest (Baotianman, BTM) and a tropical rainforest (Jianfengling, JFL). We obtained 51,137 operational taxonomic units (OTUs) and classified them into 44 phyla and 556 known genera, 18.2% of which had a relative abundance >1%. The composition in each phylum was similar between the two forest sites. Proteobacteria and Acidobacteria were the most abundant phyla in the soil samples between the two forest sites. The Shannon index did not significantly differ among the four seasons at BTM or JFL and was higher at BTM than JFL in each season. The bacteria community at both BTM and JFL showed two significant (P < 0.05) predicted functions related to carbon cycle (anoxygenic photoautotrophy sulfur oxidizing and anoxygenic photoautotrophy) and three significant (P < 0.05) predicted functions related to nitrogen cycle (nitrous denitrificaton, nitrite denitrification, and nitrous oxide denitrification). We provide the basis on how changes in bacterial community composition and diversity leading to differences in carbon and nitrogen cycles at the two forests. |
format | Online Article Text |
id | pubmed-6080587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60805872018-08-14 Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China Wei, Hua Peng, Changhui Yang, Bin Song, Hanxiong Li, Quan Jiang, Lin Wei, Gang Wang, Kefeng Wang, Hui Liu, Shirong Liu, Xiaojing Chen, Dexiang Li, Yide Wang, Meng Front Microbiol Microbiology Bacteria are the highest abundant microorganisms in the soil. To investigate bacteria community structures, diversity, and functions, contrasting them in four different seasons all the year round with/within two different forest type soils of China. We analyzed soil bacterial community based on 16S rRNA gene sequencing via Illumina HiSeq platform at a temperate deciduous broad-leaved forest (Baotianman, BTM) and a tropical rainforest (Jianfengling, JFL). We obtained 51,137 operational taxonomic units (OTUs) and classified them into 44 phyla and 556 known genera, 18.2% of which had a relative abundance >1%. The composition in each phylum was similar between the two forest sites. Proteobacteria and Acidobacteria were the most abundant phyla in the soil samples between the two forest sites. The Shannon index did not significantly differ among the four seasons at BTM or JFL and was higher at BTM than JFL in each season. The bacteria community at both BTM and JFL showed two significant (P < 0.05) predicted functions related to carbon cycle (anoxygenic photoautotrophy sulfur oxidizing and anoxygenic photoautotrophy) and three significant (P < 0.05) predicted functions related to nitrogen cycle (nitrous denitrificaton, nitrite denitrification, and nitrous oxide denitrification). We provide the basis on how changes in bacterial community composition and diversity leading to differences in carbon and nitrogen cycles at the two forests. Frontiers Media S.A. 2018-07-31 /pmc/articles/PMC6080587/ /pubmed/30108560 http://dx.doi.org/10.3389/fmicb.2018.01693 Text en Copyright © 2018 Wei, Peng, Yang, Song, Li, Jiang, Wei, Wang, Wang, Liu, Liu, Chen, Li and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Wei, Hua Peng, Changhui Yang, Bin Song, Hanxiong Li, Quan Jiang, Lin Wei, Gang Wang, Kefeng Wang, Hui Liu, Shirong Liu, Xiaojing Chen, Dexiang Li, Yide Wang, Meng Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China |
title | Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China |
title_full | Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China |
title_fullStr | Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China |
title_full_unstemmed | Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China |
title_short | Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China |
title_sort | contrasting soil bacterial community, diversity, and function in two forests in china |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080587/ https://www.ncbi.nlm.nih.gov/pubmed/30108560 http://dx.doi.org/10.3389/fmicb.2018.01693 |
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