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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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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 |
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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 |
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