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

Zhili He(University of Oklahoma), Ye Deng(University of Oklahoma), Joy D. Van Nostrand(University of Oklahoma), Qichao Tu(University of Oklahoma), Meiying Xu(Institute of Microbiology), Christopher L. Hemme(University of Oklahoma), Xingyuan Li, Liyou Wu(University of Oklahoma), Terry J. Gentry(Texas A&M University), Yifeng Yin(Trinity Medical Center), Jost Liebich(Forschungszentrum Jülich), Terry C. Hazen(Lawrence Berkeley National Laboratory), Jizhong Zhou(Lawrence Berkeley National Laboratory)
The ISME Journal
April 29, 2010
Cited by 307Open Access
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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.


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