Literature DB >> 15088384

Evaluation of 50-mer oligonucleotide arrays for detecting microbial populations in environmental samples.

Sonia M Tiquia1, Liyou Wu, Song C Chong, Sergei Passovets, Dong Xu, Ying Xu, Jizhong Zhou.   

Abstract

Microarrays fabricated with oligonucleotides longer than 40 bp have been introduced for monitoring whole genome expression but have not been evaluated with environmental samples. To determine the potential of this type of microarray for environmental studies, a 50-mer oligonucleotide microarray was constructed using 763 genes involved in nitrogen cycling: nitrite reductase (nirS and nirK), ammonia monooxygenase (amoA), nitrogenase (nifH), methane monooxygenase (pmoA), and sulfite reductase (dsrAB) from public databases and our own sequence collections. The comparison of the sequences from pure cultures indicated that the developed microarrays could provide species-level resolution for analyzing microorganisms involved in nitrification, denitrification, nitrogen fixation, methane oxidation, and sulfite reduction. Sensitivity tests suggested that the 50-mer oligonucleotide arrays could detect dominant populations in the environments, although sensitivity still needs to be improved. A significant quantitative relationship was also obtained with a mixture of DNAs from eight different bacteria. These results suggest that the 50-mer oligonucleotide array can be used as a specific and quantitative parallel tool for the detection of microbial populations in environmental samples.

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Year:  2004        PMID: 15088384     DOI: 10.2144/04364RR02

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  43 in total

1.  Functional gene diversity of soil microbial communities from five oil-contaminated fields in China.

Authors:  Yuting Liang; Joy D Van Nostrand; Ye Deng; Zhili He; Liyou Wu; Xu Zhang; Guanghe Li; Jizhong Zhou
Journal:  ISME J       Date:  2010-09-23       Impact factor: 10.302

2.  Use of microarrays with different probe sizes for monitoring gene expression.

Authors:  Zhili He; Liyou Wu; Matthew W Fields; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

3.  Assessment of cry1 gene contents of Bacillus thuringiensis strains by use of DNA microarrays.

Authors:  Jaroslaw Letowski; Alejandra Bravo; Roland Brousseau; Luke Masson
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

4.  Development and evaluation of genome-probing microarrays for monitoring lactic acid bacteria.

Authors:  Jin-Woo Bae; Sung-Keun Rhee; Ja Ryeong Park; Won-Hyong Chung; Young-Do Nam; Insun Lee; Hongik Kim; Yong-Ha Park
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

5.  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 6.  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

7.  Influence of dangling ends and surface-proximal tails of targets on probe-target duplex formation in 16S rRNA gene-based diagnostic arrays.

Authors:  Robert D Stedtfeld; Lukas M Wick; Samuel W Baushke; Dieter M Tourlousse; Amanda B Herzog; Yongmei Xia; Jean Marie Rouillard; Joel A Klappenbach; James R Cole; Erdogan Gulari; James M Tiedje; Syed A Hashsham
Journal:  Appl Environ Microbiol       Date:  2006-11-17       Impact factor: 4.792

8.  Potential of a 16S rRNA-based taxonomic microarray for analyzing the rhizosphere effects of maize on Agrobacterium spp. and bacterial communities.

Authors:  Hervé Sanguin; Benoît Remenant; Arnaud Dechesne; Jean Thioulouse; Timothy M Vogel; Xavier Nesme; Yvan Moënne-Loccoz; Geneviève L Grundmann
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

9.  Accurately quantifying low-abundant targets amid similar sequences by revealing hidden correlations in oligonucleotide microarray data.

Authors:  Luisa A Marcelino; Vadim Backman; Andres Donaldson; Claudia Steadman; Janelle R Thompson; Sarah Pacocha Preheim; Cynthia Lien; Eelin Lim; Daniele Veneziano; Martin F Polz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-01       Impact factor: 11.205

10.  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

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