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Series GSE48820 Query DataSets for GSE48820
Status Public on Jul 13, 2013
Title The Microbial Gene Diversity along an Elevation Gradient of the Tibetan Grassland
Platform organism Bacteria
Sample organism uncultured bacterium
Experiment type Genome variation profiling by array
Summary Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, along four sites/elevations of a Tibetan mountainous grassland, aiming to explore potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes. Cold shock genes were more abundant at higher elevations. Also, gdh converting ammonium into urea was more abundant at higher elevations while ureC converting urea into ammonium was less abundant, which was consistent with soil ammonium contents. Significant correlations were observed between N-cycling genes (ureC, gdh and amoA) and nitrous oxide flux, suggesting that they contributed to community metabolism. Lastly, we found by CCA, Mantel tests and the similarity tests that soil pH, temperature, NH4+–N and vegetation diversity accounted for the majority (81.4%) of microbial community variations, suggesting that these four attributes were major factors affecting soil microbial communities. Based on these observations, we predict that climate changes in the Tibetan grasslands are very likely to change soil microbial community functional structure, with particular impacts on microbial N cycling genes and consequently microbe-mediated soil N dynamics.
 
Overall design Twelve samples were collected from four elevations (3200, 3400, 3600 and 3800 m) along a Tibetan grassland; Three replicates in every elevation
 
Contributor(s) Yang Y, Gao Y
Citation(s) 23985745
Submission date Jul 12, 2013
Last update date Nov 15, 2013
Contact name Gao Ying
E-mail(s) gaoying2011@gmail.com
Organization name Tsinghua University
Street address Qinghua East Street
City Beijing
ZIP/Postal code 100084
Country China
 
Platforms (1)
GPL17437 GeoChip 4.0
Samples (12)
GSM1185238 3200a
GSM1185239 3200b
GSM1185240 3200c
Relations
BioProject PRJNA211854

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE48820_Tibet_data.txt.gz 4.3 Mb (ftp)(http) TXT
Processed data included within Sample table

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