Title |
Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China
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Published in |
Frontiers in Microbiology, July 2018
|
DOI | 10.3389/fmicb.2018.01693 |
Pubmed ID | |
Authors |
Hua Wei, Changhui Peng, Bin Yang, Hanxiong Song, Quan Li, Lin Jiang, Gang Wei, Kefeng Wang, Hui Wang, Shirong Liu, Xiaojing Liu, Dexiang Chen, Yide Li, Meng Wang |
Abstract |
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. |
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Switzerland | 1 | 100% |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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Unknown | 68 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 17 | 25% |
Student > Master | 7 | 10% |
Researcher | 6 | 9% |
Student > Bachelor | 3 | 4% |
Student > Postgraduate | 3 | 4% |
Other | 8 | 12% |
Unknown | 24 | 35% |
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Environmental Science | 10 | 15% |
Biochemistry, Genetics and Molecular Biology | 8 | 12% |
Medicine and Dentistry | 3 | 4% |
Philosophy | 1 | 1% |
Other | 2 | 3% |
Unknown | 30 | 44% |