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Genom Data. 2015 Jul 15;5:397-8. doi: 10.1016/j.gdata.2015.07.010. eCollection 2015 Sep.

Analyses of the influencing factors of soil microbial functional gene diversity in tropical rainforest based on GeoChip 5.0.

Author information

1
Institute of Forestry Ecology, Environment and Protection, and the Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Chinese Academy of Forestry, Beijing 100091, China ; School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
2
School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
3
Institute of Forestry Ecology, Environment and Protection, and the Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Chinese Academy of Forestry, Beijing 100091, China.
4
Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
5
Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing 100085, China.

Abstract

To examine soil microbial functional gene diversity and causative factors in tropical rainforests, we used a microarray-based metagenomic tool named GeoChip 5.0 to profile it. We found that high microbial functional gene diversity and different soil microbial metabolic potential for biogeochemical processes were considered to exist in tropical rainforest. Soil available nitrogen was the most associated with soil microbial functional gene structure. Here, we mainly describe the experiment design, the data processing, and soil biogeochemical analyses attached to the study in details, which could be published on BMC microbiology Journal in 2015, whose raw data have been deposited in NCBI's Gene Expression Omnibus (accession number GSE69171).

KEYWORDS:

Functional gene diversity; GeoChip 5.0; Soil microbial community

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