Literature DB >> 17993561

Prokaryotic suppression subtractive hybridization PCR cDNA subtraction, a targeted method to identify differentially expressed genes.

Susan K De Long1, Kerry A Kinney, Mary Jo Kirisits.   

Abstract

Molecular biology tools can be used to monitor and optimize biological treatment systems, but the application of nucleic acid-based tools has been hindered by the lack of available sequences for environmentally relevant biodegradation genes. The objective of our work was to extend an existing molecular method for eukaryotes to prokaryotes, allowing us to rapidly identify differentially expressed genes for subsequent sequencing. Suppression subtractive hybridization (SSH) PCR cDNA subtraction is a technique that can be used to identify genes that are expressed under specific conditions (e.g., growth on a given pollutant). While excellent methods for eukaryotic SSH PCR cDNA subtraction are available, to our knowledge, no methods previously existed for prokaryotes. This work describes our methodology for prokaryotic SSH PCR cDNA subtraction, which we validated using a model system: Pseudomonas putida mt-2 degrading toluene. cDNA from P. putida mt-2 grown on toluene (model pollutant) or acetate (control substrate) was subjected to our prokaryotic SSH PCR cDNA subtraction protocol to generate subtraction clone libraries. Over 90% of the sequenced clones contained gene fragments encoding toluene-related enzymes, and 20 distinct toluene-related genes from three key operons were sequenced. Based on these results, prokaryotic SSH PCR cDNA subtraction shows promise as a targeted method for gene identification.

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Year:  2007        PMID: 17993561      PMCID: PMC2223219          DOI: 10.1128/AEM.01647-07

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


  38 in total

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2.  Screening for ribosomal-based false positives following prokaryotic mRNA differential display.

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4.  Identification of aerobically and anaerobically induced genes in Enterococcus faecalis by random arbitrarily primed PCR.

Authors:  B D Shepard; M S Gilmore
Journal:  Appl Environ Microbiol       Date:  1999-04       Impact factor: 4.792

5.  The role of molecular methods in evaluating biological treatment processes.

Authors:  Bruce E Rittmann
Journal:  Water Environ Res       Date:  2002 Sep-Oct       Impact factor: 1.946

Review 6.  Cleaning up with genomics: applying molecular biology to bioremediation.

Authors:  Derek R Lovley
Journal:  Nat Rev Microbiol       Date:  2003-10       Impact factor: 60.633

Review 7.  The TOL (pWW0) catabolic plasmid.

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8.  Differential gene expression in response to copper in Acidithiobacillus ferrooxidans analyzed by RNA arbitrarily primed polymerase chain reaction.

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9.  Emergence of competitive dominant ammonia-oxidizing bacterial populations in a full-scale industrial wastewater treatment plant.

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Journal:  Appl Environ Microbiol       Date:  2005-02       Impact factor: 4.792

10.  Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440.

Authors:  K E Nelson; C Weinel; I T Paulsen; R J Dodson; H Hilbert; V A P Martins dos Santos; D E Fouts; S R Gill; M Pop; M Holmes; L Brinkac; M Beanan; R T DeBoy; S Daugherty; J Kolonay; R Madupu; W Nelson; O White; J Peterson; H Khouri; I Hance; P Chris Lee; E Holtzapple; D Scanlan; K Tran; A Moazzez; T Utterback; M Rizzo; K Lee; D Kosack; D Moestl; H Wedler; J Lauber; D Stjepandic; J Hoheisel; M Straetz; S Heim; C Kiewitz; J A Eisen; K N Timmis; A Düsterhöft; B Tümmler; C M Fraser
Journal:  Environ Microbiol       Date:  2002-12       Impact factor: 5.491

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  4 in total

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2.  Identification of cold-temperature-regulated genes in Flavobacterium psychrophilum.

Authors:  Shohreh Hesami; Devon S Metcalf; John S Lumsden; Janet I Macinnes
Journal:  Appl Environ Microbiol       Date:  2011-01-07       Impact factor: 4.792

3.  Molecular characterization and expression analysis of NDUFS4 gene in m. longissimus dorsi of Laiwu pig (Sus scrofa).

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4.  Development of quinoxaline 1, 4-dioxides resistance in Escherichia coli and molecular change under resistance selection.

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Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

  4 in total

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