Cargando…

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

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, tem...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Ying, Wang, Shiping, Xu, Depeng, Yu, Hao, Wu, Linwei, Lin, Qiaoyan, Hu, Yigang, Li, Xiangzhen, He, Zhili, Deng, Ye, Zhou, Jizhong, Yang, Yunfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535962/
https://www.ncbi.nlm.nih.gov/pubmed/26484083
http://dx.doi.org/10.1016/j.gdata.2014.06.003
_version_ 1782385678602993664
author Gao, Ying
Wang, Shiping
Xu, Depeng
Yu, Hao
Wu, Linwei
Lin, Qiaoyan
Hu, Yigang
Li, Xiangzhen
He, Zhili
Deng, Ye
Zhou, Jizhong
Yang, Yunfeng
author_facet Gao, Ying
Wang, Shiping
Xu, Depeng
Yu, Hao
Wu, Linwei
Lin, Qiaoyan
Hu, Yigang
Li, Xiangzhen
He, Zhili
Deng, Ye
Zhou, Jizhong
Yang, Yunfeng
author_sort Gao, Ying
collection PubMed
description 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, NH(4)(+)–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).
format Online
Article
Text
id pubmed-4535962
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-45359622015-10-19 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 Genom Data Data in Brief 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, NH(4)(+)–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). Elsevier 2014-06-11 /pmc/articles/PMC4535962/ /pubmed/26484083 http://dx.doi.org/10.1016/j.gdata.2014.06.003 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Data in Brief
Gao, Ying
Wang, Shiping
Xu, Depeng
Yu, Hao
Wu, Linwei
Lin, Qiaoyan
Hu, Yigang
Li, Xiangzhen
He, Zhili
Deng, Ye
Zhou, Jizhong
Yang, Yunfeng
GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
title GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
title_full GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
title_fullStr GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
title_full_unstemmed GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
title_short GeoChip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
title_sort geochip as a metagenomics tool to analyze the microbial gene diversity along an elevation gradient
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535962/
https://www.ncbi.nlm.nih.gov/pubmed/26484083
http://dx.doi.org/10.1016/j.gdata.2014.06.003
work_keys_str_mv AT gaoying geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT wangshiping geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT xudepeng geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT yuhao geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT wulinwei geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT linqiaoyan geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT huyigang geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT lixiangzhen geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT hezhili geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT dengye geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT zhoujizhong geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient
AT yangyunfeng geochipasametagenomicstooltoanalyzethemicrobialgenediversityalonganelevationgradient