Literature DB >> 16820459

Suspension array analysis of 16S rRNA from Fe- and SO(4)2- reducing bacteria in uranium-contaminated sediments undergoing bioremediation.

Darrell P Chandler1, Ann E Jarrell, Eric R Roden, Julia Golova, Boris Chernov, Matthew J Schipma, Aaron D Peacock, Philip E Long.   

Abstract

A 16S rRNA-targeted tunable bead array was developed and used in a retrospective analysis of metal- and sulfate-reducing bacteria in contaminated subsurface sediments undergoing in situ U(VI) bioremediation. Total RNA was extracted from subsurface sediments and interrogated directly, without a PCR step. Bead array validation studies with total RNA derived from 24 isolates indicated that the behavior and response of the 16S rRNA-targeted oligonucleotide probes could not be predicted based on the primary nucleic acid sequence. Likewise, signal intensity (absolute or normalized) could not be used to assess the abundance of one organism (or rRNA) relative to the abundance of another organism (or rRNA). Nevertheless, the microbial community structure and dynamics through time and space and as measured by the rRNA-targeted bead array were consistent with previous data acquired at the site, where indigenous sulfate- and iron-reducing bacteria and near neighbors of Desulfotomaculum were the organisms that were most responsive to a change in injected acetate concentrations. Bead array data were best interpreted by analyzing the relative changes in the probe responses for spatially and temporally related samples and by considering only the response of one probe to itself in relation to a background (reference) environmental sample. By limiting the interpretation of the data in this manner and placing it in the context of supporting geochemical and microbiological analyses, we concluded that ecologically relevant and meaningful information can be derived from direct microarray analysis of rRNA in uncharacterized environmental samples, even with the current analytical uncertainty surrounding the behavior of individual probes on tunable bead arrays.

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Year:  2006        PMID: 16820459      PMCID: PMC1489301          DOI: 10.1128/AEM.02858-05

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  41 in total

1.  Cross-reactive chemical sensor arrays.

Authors:  K J Albert; N S Lewis; C L Schauer; G A Sotzing; S E Stitzel; T P Vaid; D R Walt
Journal:  Chem Rev       Date:  2000-07-12       Impact factor: 60.622

2.  Cross-hybridization of closely related genes on high-density macroarrays.

Authors:  N A Miller; Q Gong; R Bryan; M Ruvolo; L A Turner; S T LaBrie
Journal:  Biotechniques       Date:  2002-03       Impact factor: 1.993

3.  Automated purification and suspension array detection of 16S rRNA from soil and sediment extracts by using tunable surface microparticles.

Authors:  Darrell P Chandler; Ann E Jarrell
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

4.  Evidence of systematic expressed sequence tag IMAGE clone cross-hybridization on cDNA microarrays.

Authors:  Daniel Handley; Nicoleta Serban; David Peters; Robert O'Doherty; Melvin Field; Larry Wasserman; Peter Spirtes; Richard Scheines; Clark Glymour
Journal:  Genomics       Date:  2004-06       Impact factor: 5.736

5.  Microbiological and geochemical heterogeneity in an in situ uranium bioremediation field site.

Authors:  Helen A Vrionis; Robert T Anderson; Irene Ortiz-Bernad; Kathleen R O'Neill; Charles T Resch; Aaron D Peacock; Richard Dayvault; David C White; Philip E Long; Derek R Lovley
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

6.  Radical-generating coordination complexes as tools for rapid and effective fragmentation and fluorescent labeling of nucleic acids for microchip hybridization.

Authors:  John J Kelly; Boris K Chernov; Igor Tovstanovsky; Andrei D Mirzabekov; Sergei G Bavykin
Journal:  Anal Biochem       Date:  2002-12-15       Impact factor: 3.365

7.  Diversity and characterization of sulfate-reducing bacteria in groundwater at a uranium mill tailings site.

Authors:  Y J Chang; A D Peacock; P E Long; J R Stephen; J P McKinley; S J Macnaughton; A K Hussain; A M Saxton; D C White
Journal:  Appl Environ Microbiol       Date:  2001-07       Impact factor: 4.792

8.  A method for cross-species gene expression analysis with high-density oligonucleotide arrays.

Authors:  Wan Ji; Wenli Zhou; Keqin Gregg; Nan Yu; Scott Davis; Sara Davis
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

9.  Utilization of microbial biofilms as monitors of bioremediation.

Authors:  A D Peacock; Y J Chang; J D Istok; L Krumholz; R Geyer; B Kinsall; D Watson; K L Sublette; D C White
Journal:  Microb Ecol       Date:  2004-03-04       Impact factor: 4.552

10.  Nucleic acid amplification strategies for DNA microarray-based pathogen detection.

Authors:  Gary J Vora; Carolyn E Meador; David A Stenger; Joanne D Andreadis
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

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  3 in total

1.  Profiling in situ microbial community structure with an amplification microarray.

Authors:  Darrell P Chandler; Christopher Knickerbocker; Lexi Bryant; Julia Golova; Cory Wiles; Kenneth H Williams; Aaron D Peacock; Philip E Long
Journal:  Appl Environ Microbiol       Date:  2012-11-16       Impact factor: 4.792

2.  Elevated nitrate enriches microbial functional genes for potential bioremediation of complexly contaminated sediments.

Authors:  Meiying Xu; Qin Zhang; Chunyu Xia; Yuming Zhong; Guoping Sun; Jun Guo; Tong Yuan; Jizhong Zhou; Zhili He
Journal:  ISME J       Date:  2014-03-27       Impact factor: 10.302

3.  Metatranscriptomic evidence of pervasive and diverse chemolithoautotrophy relevant to C, S, N and Fe cycling in a shallow alluvial aquifer.

Authors:  Talia N M Jewell; Ulas Karaoz; Eoin L Brodie; Kenneth H Williams; Harry R Beller
Journal:  ISME J       Date:  2016-03-04       Impact factor: 10.302

  3 in total

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