Literature DB >> 20428223

GeoChip 3.0 as a high-throughput tool for analyzing microbial community composition, structure and functional activity.

Zhili He1, Ye Deng, Joy D Van Nostrand, Qichao Tu, Meiying Xu, Christopher L Hemme, Xingyuan Li, Liyou Wu, Terry J Gentry, Yifeng Yin, Jost Liebich, Terry C Hazen, Jizhong Zhou.   

Abstract

A new generation of functional gene arrays (FGAs; GeoChip 3.0) has been developed, with approximately 28 000 probes covering approximately 57 000 gene variants from 292 functional gene families involved in carbon, nitrogen, phosphorus and sulfur cycles, energy metabolism, antibiotic resistance, metal resistance and organic contaminant degradation. GeoChip 3.0 also has several other distinct features, such as a common oligo reference standard (CORS) for data normalization and comparison, a software package for data management and future updating and the gyrB gene for phylogenetic analysis. Computational evaluation of probe specificity indicated that all designed probes would have a high specificity to their corresponding targets. Experimental analysis with synthesized oligonucleotides and genomic DNAs showed that only 0.0036-0.025% false-positive rates were observed, suggesting that the designed probes are highly specific under the experimental conditions examined. In addition, GeoChip 3.0 was applied to analyze soil microbial communities in a multifactor grassland ecosystem in Minnesota, USA, which showed that the structure, composition and potential activity of soil microbial communities significantly changed with the plant species diversity. As expected, GeoChip 3.0 is a high-throughput powerful tool for studying microbial community functional structure, and linking microbial communities to ecosystem processes and functioning.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20428223     DOI: 10.1038/ismej.2010.46

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  94 in total

1.  Influence of geogenic factors on microbial communities in metallogenic Australian soils.

Authors:  Frank Reith; Joel Brugger; Carla M Zammit; Adrienne L Gregg; Katherine C Goldfarb; Gary L Andersen; Todd Z DeSantis; Yvette M Piceno; Eoin L Brodie; Zhenmei Lu; Zhili He; Jizhong Zhou; Steven A Wakelin
Journal:  ISME J       Date:  2012-06-07       Impact factor: 10.302

2.  Microbial and Functional Diversity within the Phyllosphere of Espeletia Species in an Andean High-Mountain Ecosystem.

Authors:  Carlos A Ruiz-Pérez; Silvia Restrepo; María Mercedes Zambrano
Journal:  Appl Environ Microbiol       Date:  2016-01-08       Impact factor: 4.792

3.  The PathoChip, a functional gene array for assessing pathogenic properties of diverse microbial communities.

Authors:  Yong-Jin Lee; Joy D van Nostrand; Qichao Tu; Zhenmei Lu; Lei Cheng; Tong Yuan; Ye Deng; Michelle Q Carter; Zhili He; Liyou Wu; Fang Yang; Jian Xu; Jizhong Zhou
Journal:  ISME J       Date:  2013-06-13       Impact factor: 10.302

4.  Strain/species-specific probe design for microbial identification microarrays.

Authors:  Qichao Tu; Zhili He; Ye Deng; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2013-06-07       Impact factor: 4.792

5.  The microbial gene diversity along an elevation gradient of the Tibetan grassland.

Authors:  Yunfeng Yang; Ying Gao; Shiping Wang; Depeng Xu; Hao Yu; Linwei Wu; Qiaoyan Lin; Yigang Hu; Xiangzhen Li; Zhili He; Ye Deng; Jizhong Zhou
Journal:  ISME J       Date:  2013-08-29       Impact factor: 10.302

6.  Microbial regulation of the soil carbon cycle: evidence from gene-enzyme relationships.

Authors:  Pankaj Trivedi; Manuel Delgado-Baquerizo; Chanda Trivedi; Hangwei Hu; Ian C Anderson; Thomas C Jeffries; Jizhong Zhou; Brajesh K Singh
Journal:  ISME J       Date:  2016-05-10       Impact factor: 10.302

7.  Microarray-based evaluation of whole-community genome DNA amplification methods.

Authors:  Jian Wang; Joy D Van Nostrand; Liyou Wu; Zhili He; Guanghe Li; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2011-04-15       Impact factor: 4.792

8.  Analysis of methanotroph community composition using a pmoA-based microbial diagnostic microarray.

Authors:  Nancy Stralis-Pavese; Guy C J Abell; Angela Sessitsch; Levente Bodrossy
Journal:  Nat Protoc       Date:  2011-04-14       Impact factor: 13.491

9.  Microbial mechanisms mediating increased soil C storage under elevated atmospheric N deposition.

Authors:  Sarah D Eisenlord; Zachary Freedman; Donald R Zak; Kai Xue; Zhili He; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2012-12-07       Impact factor: 4.792

10.  Functional gene differences in soil microbial communities from conventional, low-input, and organic farmlands.

Authors:  Kai Xue; Liyou Wu; Ye Deng; Zhili He; Joy Van Nostrand; Philip G Robertson; Thomas M Schmidt; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2012-12-14       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.