气候变化领域集成服务门户(CCPortal): GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient

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DOI	10.1016/j.gdata.2014.06.003
	GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
	Gao, Ying; Wang, Shiping; Xu, Depeng; Yu, Hao; Wu, Linwei; Lin, Qiaoyan; Hu, Yigang; Li, Xiangzhen; He, Zhili; Deng, Ye; Zhou, Jizhong; Yang, Yunfeng
通讯作者	Yang, YF (通讯作者)
发表日期	2014
ISSN	2213-5960
起始页码	132
结束页码	134
卷号	2
英文摘要	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). (C) 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
英文关键词	Gene diversity; Soil microbial community; GeoChip 4.0; Genomic technology
语种	英语
WOS研究方向	Genetics & Heredity
WOS类目	Genetics & Heredity
WOS记录号	WOS:000217130300038
来源期刊	GENOMICS DATA
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258392
推荐引用方式 GB/T 7714	Gao, Ying,Wang, Shiping,Xu, Depeng,et al. GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient[J]. 中国科学院青藏高原研究所,2014,2.
APA	Gao, Ying.,Wang, Shiping.,Xu, Depeng.,Yu, Hao.,Wu, Linwei.,...&Yang, Yunfeng.(2014).GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient.GENOMICS DATA,2.
MLA	Gao, Ying,et al."GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient".GENOMICS DATA 2(2014).