Literature DB >> 9067031

Quantification of genetically tagged cyanobacteria in Baltic Sea sediment by competitive PCR.

A Möller1, J K Jansson.   

Abstract

Competitive PCR (cPCR) is a quantitative PCR approach based on the addition of an internal standard to the PCR mixture. In this study, cPCR was used to quantitate genetically tagged cyanobacteria in Baltic Sea sediment. The cyanobacterium Synechocystis 6803-luc has a chromosomal insertion of the firefly luciferase gene, luc, as a marker detectable by PCR. A competitive standard was constructed that contained a 37-bp insertion within the luc DNA region that could be distinguished from the target luc DNA on the basis of size. Synechocystis 6803-luc cells were added to sediment, total bacterial DNA was extracted from sediment and the number of luc DNA copies was quantified by cPCR and phosphor imaging analysis. The internal standard was added either before (co-extraction) or after (post-extraction) isolation of DNA from sediment. The co-extraction method was found to be both more accurate and more precise for the quantitation of added cell numbers (luc DNA copies) by cPCR. When using the co-extraction approach, it was possible to overcome variations in extraction efficiency between replicate samples. The target:competitor PCR product ratio was the only value required for interpolation from standard curves to the luc DNA concentration present in the original sediment sample. The number of luc-tagged cyanobacteria added to the sediment could be calculated after adjustment for the number of chromosomes per cell. This technique should be applicable for quantitation of genetically tagged cyanobacteria in nature.

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Year:  1997        PMID: 9067031     DOI: 10.2144/97223rr02

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


  12 in total

1.  Application of the 5' fluorogenic exonuclease assay (TaqMan) for quantitative ribosomal DNA and rRNA analysis in sediments.

Authors:  J R Stults; O Snoeyenbos-West; B Methe; D R Lovley; D P Chandler
Journal:  Appl Environ Microbiol       Date:  2001-06       Impact factor: 4.792

Review 2.  Detection and quantification of gene expression in environmental bacteriology.

Authors:  Freddie H Sharkey; Ibrahim M Banat; Roger Marchant
Journal:  Appl Environ Microbiol       Date:  2004-07       Impact factor: 4.792

3.  Resuscitation of viable but not culturable Sinorhizobium meliloti 41 pRP4-luc: effects of oxygen and host plant.

Authors:  Marina Basaglia; Silvana Povolo; Sergio Casella
Journal:  Curr Microbiol       Date:  2007-03       Impact factor: 2.188

4.  Quantification of 16S rRNAs in complex bacterial communities by multiple competitive reverse transcription-PCR in temperature gradient gel electrophoresis fingerprints.

Authors:  A Felske; A D Akkermans; W M De Vos
Journal:  Appl Environ Microbiol       Date:  1998-11       Impact factor: 4.792

5.  Quantitative measure of small-subunit rRNA gene sequences of the kingdom korarchaeota

Authors: 
Journal:  Appl Environ Microbiol       Date:  1998-12       Impact factor: 4.792

6.  Occurrence of a sequence in marine cyanophages similar to that of T4 g20 and its application to PCR-based detection and quantification techniques.

Authors:  N J Fuller; W H Wilson; I R Joint; N H Mann
Journal:  Appl Environ Microbiol       Date:  1998-06       Impact factor: 4.792

7.  Population Dynamics of Two Toluene Degrading Bacterial Species in a Contaminated Stream.

Authors:  S.T.-L. Tay; F.H. Hemond; L.R. Krumholz; C.M. Cavanaugh; M.F. Polz
Journal:  Microb Ecol       Date:  2001-02       Impact factor: 4.552

Review 8.  Quantification of the presence and activity of specific microorganisms in nature.

Authors:  J K Jansson; J I Prosser
Journal:  Mol Biotechnol       Date:  1997-04       Impact factor: 2.695

9.  In situ detection of the Clostridium botulinum type C1 toxin gene in wetland sediments with a nested PCR assay.

Authors:  J L Williamson; T E Rocke; J M Aiken
Journal:  Appl Environ Microbiol       Date:  1999-07       Impact factor: 4.792

10.  Quantification of hepatitis A virus in shellfish by competitive reverse transcription-PCR with coextraction of standard RNA.

Authors:  C Arnal; V Ferre-Aubineau; B Mignotte; B M Imbert-Marcille; S Billaudel
Journal:  Appl Environ Microbiol       Date:  1999-01       Impact factor: 4.792

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