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GeoChip-Based Metagenomic Technologies for Analyzing Microbial Community Functional Structure and Activities

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Encyclopedia of Metagenomics

Synonyms

Functional gene array; Metagenomic technology

Definition

Functional gene arrays (FGAs) are a special type of microarray containing probes for key genes involved in microbial functional processes, such as biogeochemical cycling of carbon, nitrogen, sulfur, phosphorus, and metals, biodegradation of environmental contaminants, antibiotic resistance, energy processing, and stress response. GeoChips are considered to be the most comprehensive FGAs and an important metagenomic tool for microbial community analysis.

Introduction

Microorganisms are the most diverse group of organisms known in terms of phylogeny and functionality. However, they do not live alone but form distinct communities and play integrated and unique roles in ecosystems, such as biogeochemical cycling of carbon (C), nitrogen (N), sulfur (S), phosphorus (P), and metals (e.g., iron, copper, zinc), biodegradation or stabilization of environmental contaminants, and interaction with hosts. Therefore, one of the most...

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References

  • Gans J, Wolinsky M, Dunbar J. Computational improvements reveal great bacterial diversity and high metal toxicity in soil. Science. 2005;309:1387–90.

    Article  CAS  PubMed  Google Scholar 

  • Hazen TC, Dubinsky EA, DeSantis TZ, Andersen GL, Piceno YM, Singh N, et al. Deep-sea oil plume enriches indigenous oil-degrading bacteria. Science. 2010;330:204–8.

    Article  CAS  PubMed  Google Scholar 

  • He Z, Gentry TJ, Schadt CW, Wu L, Liebich J, Chong SC, et al. GeoChip: a comprehensive microarray for investigating biogeochemical, ecological and environmental processes. ISME J. 2007;1:67–77.

    Article  CAS  PubMed  Google Scholar 

  • He Z, Deng Y, Van Nostrand JD, Tu Q, Xu M, Hemme CL, et al. GeoChip 3.0 as a high-throughput tool for analyzing microbial community composition, structure and functional activity. ISME J. 2010a;4:1167–79.

    Article  CAS  PubMed  Google Scholar 

  • He Z, Xu M, Deng Y, Kang S, Kellogg L, Wu L, et al. Metagenomic analysis reveals a marked divergence in the structure of belowground microbial communities at elevated CO2. Ecol Lett. 2010b;13:564–75.

    Article  PubMed  Google Scholar 

  • He Z, Van Nostrand JD, Deng Y, Zhou J. Development and applications of functional gene microarrays in the analysis of the functional diversity, composition, and structure of microbial communities. Front Environ Sci Engin China. 2011;5:1–20.

    Article  CAS  Google Scholar 

  • He Z, Deng Y, Zhou J. Development of functional gene microarrays for microbial community analysis. Curr Opin Biotechnol. 2012a;23:49–55.

    Article  CAS  PubMed  Google Scholar 

  • He Z, Van Nostrand JD, Zhou J. Applications of functional gene microarrays for profiling microbial communities. Curr Opin Biotechnol. 2012b;23:460–6.

    Article  CAS  PubMed  Google Scholar 

  • Li X, Deng Y, Li Q, Lu C, Wang J, Zhang H, et al. Shifts of functional gene representation in wheat rhizosphere microbial communities under elevated ozone. ISME J. 2013;7(3):660–71.

    Google Scholar 

  • Liang Y, Van Nostrand JD, N’Guessan LA, Peacock AD, Deng Y, Long PE, et al. Microbial functional gene diversity with a shift of subsurface redox conditions during in situ uranium reduction. Appl Environ Microbiol. 2012;78:2966–72.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Lu Z, He Z, Parisi VA, Kang S, Deng Y, Van Nostrand JD, et al. GeoChip-based analysis of microbial functional gene diversity in a landfill leachate-contaminated aquifer. Environ Sci Technol. 2012;46:5824–33.

    Article  CAS  PubMed  Google Scholar 

  • Rhee S-K, Liu X, Wu L, Chong SC, Wan X, Zhou J. Detection of genes involved in biodegradation and biotransformation in microbial communities by using 50-mer oligonucleotide microarrays. Appl Environ Microbiol. 2004;70:4303–17.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Torsvik V, Ovreas L, Thingstad TF. Prokaryotic diversity – magnitude, dynamics, and controlling factors. Science. 2002;296:1064–6.

    Article  CAS  PubMed  Google Scholar 

  • Van Nostrand JD, Wu L, Wu W-M, Huang Z, Gentry TJ, Deng Y, et al. Dynamics of microbial community composition and function during in situ bioremediation of a uranium-contaminated aquifer. Appl Environ Microbiol. 2011;77:3860–9.

    Article  PubMed Central  PubMed  Google Scholar 

  • Whitman WB, Coleman DC, Wiebe WJ. Prokaryotes: the unseen majority. Proc Natl Acad Sci USA. 1998;95:6578–83.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Wu L, Thompson DK, Li G, Hurt RA, Tiedje JM, Zhou J. Development and evaluation of functional gene arrays for detection of selected genes in the environment. Appl Environ Microbiol. 2001;67:5780–90.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Xue K, Wu L, Deng Y, He Z, Van Nostrand J, Robertson PG, et al. Functional gene differences in soil microbial communities from conventional, low-input, and organic farmlands. Appl Environ Microbiol. 2013;79:1284–92.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Yang Y, Wu L, Lin Q, Yuan M, Xu D, Yu H, et al. Responses of the functional structure of soil microbial community to livestock grazing in the Tibetan alpine grassland. Glob Chang Biol. 2013;19:637–48.

    Article  PubMed  Google Scholar 

  • Zhou J, Deng Y, Luo F, He Z, Tu Q, Zhi X. Functional molecular ecological networks. mBio. 2010;1(4):e00169.

    PubMed Central  PubMed  Google Scholar 

  • Zhou J, Xue K, Xie J, Deng Y, Wu L, Cheng X, et al. Microbial mediation of carbon-cycle feedbacks to climate warming. Nat Clim Chang. 2012;2:106–10.

    Article  CAS  Google Scholar 

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Acknowledgments

This work conducted by ENIGMA (Ecosystems and Networks Integrated with Genes and Molecular Assemblies) (http://enigma.lbl.gov), a Scientific Focus Area Program at Lawrence Berkeley National Laboratory, was supported by the Office of Science, Office of Biological and Environmental Research, of the US Department of Energy under Contract No. DE-AC02-05CH11231 and by the Oklahoma Applied Research Support (OARS), Oklahoma Center for the Advancement of Science and Technology (OCAST), State of Oklahoma, through AR11-035 and AR062-034.

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Correspondence to Zhili He .

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He, Z., Van Nostrand, J.D., Zhou, J.(. (2013). GeoChip-Based Metagenomic Technologies for Analyzing Microbial Community Functional Structure and Activities. In: Nelson, K. (eds) Encyclopedia of Metagenomics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6418-1_760-4

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  • DOI: https://doi.org/10.1007/978-1-4614-6418-1_760-4

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  • Online ISBN: 978-1-4614-6418-1

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