GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient

Ying Gao, Shiping Wang, Depeng Xu, Hao Yu, Linwei Wu, Qiaoyan Lin, Yigang Hu, Xiangzhen Li, Zhili He, Ye Deng, Jizhong Zhou, Yunfeng Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


To examine microbial responses to climate change, we used a microarray-based metagenomics tool named GeoChip 4.0 to profile soil microbial functional genes along four sites/elevations of a Tibetan mountainous grassland. We found that microbial communities differed among four elevations. Soil pH, temperature, NH4+-N and vegetation diversity were four major attributes affecting soil microbial communities. Here we describe in details the experiment design, the data normalization process, soil and vegetation analyses associated with the study published on ISME Journal in 2014 [1], whose raw data have been uploaded to Gene Expression Omnibus (accession number GSM1185243).

Original languageEnglish
Pages (from-to)132-134
Number of pages3
JournalGenomics Data
Publication statusPublished - 2014
Externally publishedYes


  • Gene diversity
  • Genomic technology
  • GeoChip 4.0
  • Soil microbial community

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