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Status |
Public on Oct 30, 2013 |
Title |
A comprehensive study to understand the effects of climate warming, simulated by soil transplant, on soil microbial community and its feedback responses |
Platform organism |
Bacteria |
Sample organism |
uncultured bacterium |
Experiment type |
Genome variation profiling by array
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Summary |
Soil transplant serves as a proxy to simulate climate change in realistic climate regimes. Here, we assessed the effects of climate warming and cooling on soil microbial communities, which are key drivers in Earth’s biogeochemical cycles, four years after soil transplant over large transects from northern (N site) to central (NC site) and southern China (NS site) and vice versa. Four years after soil transplant, soil nitrogen components, microbial biomass, community phylogenetic and functional structures were altered. Microbial functional diversity, measured by a metagenomic tool named GeoChip, and phylogenetic diversity are increased with temperature, while microbial biomass were similar or decreased. Nevertheless, the effects of climate change was overridden by maize cropping, underscoring the need to disentangle them in research. Mantel tests and canonical correspondence analysis (CCA) demonstrated that vegetation, climatic factors (e.g., temperature and precipitation), soil nitrogen components and CO2 efflux were significantly correlated to the microbial community composition. Further investigation unveiled strong correlations between carbon cycling genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycling genes and nitrification, which provides mechanistic understanding of these microbe-mediated processes and empowers an interesting possibility of incorporating bacterial gene abundance in greenhouse gas emission modeling.
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Overall design |
Fifty four samples were collected from three soil types (Phaeozem,Cambisol,Acrisol) in three sites (Hailun, Fengqiu and Yingtan) along a latitude with reciprocal transplant; Both with and without maize cropping in each site; Three replicates in every treatments.
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Contributor(s) |
Zhao M, Liu S, Yang Y, Xue K, Wang F, Zhou J, Sun B, Van Nostrand JD, He Z, Zhang Y, Bai S |
Citation(s) |
26484087 |
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Submission date |
Oct 23, 2013 |
Last update date |
Nov 05, 2019 |
Contact name |
Zhao Mengxin |
E-mail(s) |
zhaomengxin200109@163.com
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Organization name |
Tsinghua University
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Street address |
Haidian District, Zhongguancun Street
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City |
Beijing |
ZIP/Postal code |
100084 |
Country |
China |
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Platforms (1) |
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Samples (54)
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Relations |
BioProject |
PRJNA223664 |
Supplementary file |
Size |
Download |
File type/resource |
GSE51592_raw_data_transplant.txt.gz |
1.8 Mb |
(ftp)(http) |
TXT |
Processed data included within Sample table |
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