E-GEOD-51592 - A comprehensive study to understand the effects of climate warming, simulated by soil transplant, on soil microbial community and its feedback responses

Released on 30 October 2013, last updated on 3 June 2014
uncultured bacterium
Samples (54)
Array (1)
Protocols (7)
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. 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.
Experiment type
comparative genomic hybridization by array 
Zhao Mengxin <zhaomengxin200109@163.com>, Bo Sun, Feng Wang, Jizhong Zhou, Joy D Van Nostrand, Kai Xue, Mengxin Zhao, Shanshan Liu, Shijie Bai, Yuguang Zhang, Yunfeng Yang, Zhili He
Investigation descriptionE-GEOD-51592.idf.txt
Sample and data relationshipE-GEOD-51592.sdrf.txt
Processed data (1)E-GEOD-51592.processed.1.zip
Array designA-GEOD-17825.adf.txt