Response of Soil Bacterial Community Structure to Land-use Conversion of Natural Forests in Maoershan National Forest Park, China
Syed Sadaqat Shah2
1 Colleague of Life Science, Northeast Forestry University, Harbin, 150040, China
2 Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun 130024, China
Molecular Microbiology Research, 2017, Vol. 7, No. 2 doi: 10.5376/mmr.2017.07.0002
Received: 26 Jun., 2017 Accepted: 25 Jul., 2017 Published: 02 Aug., 2017
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This is an open access article published under the terms of the Creative Commons Attribution License
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Preferred citation for this article:
Peng M., Shah S.S., Wang Q.Y., and Meng F.J., 2017, Response of soil bacterial community structure to land-use conversion of natural forests in Maoershan National Forest Park, China, Molecular Microbiology Research, 7(2): 10-19 (doi: 10.5376/mmr.2017.07.0002)
To compare and evaluate the soil bacterial community composition in Maoershan National Forest Park, we analyzed soil samples from four replicated land-use types (hardwood forests, cultivated lands, settlement and slash lands) using a denaturing gradient gel electrophoresis (DGGE) method based on 16s rRNA gene fragments. Forty-two DGGE bands were successfully excised for sequencing. Our results revealed that the conversion of natural forest to other land-use types had a significant effect on the soil bacterial community. Bacteroidetes was absent in forest soils. Beta-Proteobacteria was unique to settlement soils, whereas Cyanobacteria and Verrucomicrobia were absent in agricultural soils. Additionally, Acidobacteria and Proteobacteria (α, β, γ, δ classes) were the dominant bacterial communities in all soils. Thus, conversion of the forest land into other land-use types resulted in changes in the bacterial communities which might affect the productivity of the soil ecosystem. Together these results suggested that the utility of using sequence-based approaches to analyze bacterial communities provides detailed information on individual bacterial community composition and permit the robust assessment of the biogeographical patterns.
Bacterial community structure; 16S rRNA; Forest; Conversion of land-use