Literature DB >> 15669338

Development and evaluation of microarray-based whole-genome hybridization for detection of microorganisms within the context of environmental applications.

Liyou Wu1, Dorothea K Thompson, Xueduan Liu, Matthew W Fields, Christopher E Bagwell, James M Tiedje, Jizhong Zhou.   

Abstract

The detection and identification of microorganisms in natural communities is a great challenge to biologists. Microarray-based genomic technology provides a promising high-throughput alternative to traditional microbial characterization. A novel prototype microarray containing whole genomic DNA, termed community genome array (CGA), was constructed and evaluated. Microarray hybridizations at 55 degrees C using 50% formamide permitted the examined bacteria to be distinguished at the species level, while strain-level differentiation was obtained at hybridization temperatures of 65 or 75 degrees C. The detection limit was estimated to be approximately 0.2 ng with genomic DNA from a single pure culture using a reduced hybridization volume (3 microL). Using mixtures of known amounts of DNA or a known number of cells from 14 or 16 different species, respectively, about 5 ng of genomic DNA or 2.5 x 10(5) cells were detected under the hybridization conditions used. In addition, strong linear relationships were observed between hybridization signal intensity and target DNA concentrations for pure cultures, a mixture of DNA templates, and a population of mixed cells (r2 = 0.95-0.98, P < 0.01). Finally, the prototype CGA revealed differences in microbial community composition in soil, river, and marine sediments. The results suggest that CGA hybridization has potential as a specific, sensitive, and quantitative tool for detection and identification of microorganisms in environmental samples.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15669338     DOI: 10.1021/es049508i

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  22 in total

1.  Microarray-based analysis of subnanogram quantities of microbial community DNAs by using whole-community genome amplification.

Authors:  Liyou Wu; Xueduan Liu; Christopher W Schadt; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

Review 2.  Microarray applications in microbial ecology research.

Authors:  T J Gentry; G S Wickham; C W Schadt; Z He; J Zhou
Journal:  Microb Ecol       Date:  2006-08-08       Impact factor: 4.552

3.  Microarray-based analysis of microbial community RNAs by whole-community RNA amplification.

Authors:  Haichun Gao; Zamin K Yang; Terry J Gentry; Liyou Wu; Christopher W Schadt; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2006-11-10       Impact factor: 4.792

Review 4.  Biogeography: an emerging cornerstone for understanding prokaryotic diversity, ecology, and evolution.

Authors:  Alban Ramette; James M Tiedje
Journal:  Microb Ecol       Date:  2007-02       Impact factor: 4.552

5.  Empirical evaluation of a new method for calculating signal-to-noise ratio for microarray data analysis.

Authors:  Zhili He; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2008-03-14       Impact factor: 4.792

6.  GeoChip-based analysis of metabolic diversity of microbial communities at the Juan de Fuca Ridge hydrothermal vent.

Authors:  Fengping Wang; Huaiyang Zhou; Jun Meng; Xiaotong Peng; Lijing Jiang; Ping Sun; Chuanlun Zhang; Joy D Van Nostrand; Ye Deng; Zhili He; Liyou Wu; Jizhong Zhou; Xiang Xiao
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-09       Impact factor: 11.205

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.  Evaluation of a fosmid-clone-based microarray for comparative analysis of swine fecal metagenomes.

Authors:  Soo-Je Park; Dong-Hwan Kim; Man-Young Jung; So-Jeong Kim; Hongik Kim; Yang-Hoon Kim; Jong-Chan Chae; Sung-Keun Rhee
Journal:  J Microbiol       Date:  2012-07-21       Impact factor: 3.422

Review 9.  The role of gut microbiota in the gut-brain axis: current challenges and perspectives.

Authors:  Xiao Chen; Roshan D'Souza; Seong-Tshool Hong
Journal:  Protein Cell       Date:  2013-05-18       Impact factor: 14.870

10.  Detection of viable but nonculturable Escherichia coli O157:H7 bacteria in drinking water and river water.

Authors:  Yanming Liu; Ainslie Gilchrist; Jing Zhang; Xing-Fang Li
Journal:  Appl Environ Microbiol       Date:  2008-01-18       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.