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Thermostable DNA Polymerase from a Viral Metagenome Is a Potent RT-PCR Enzyme

Overview of attention for article published in PLOS ONE, June 2012
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Title
Thermostable DNA Polymerase from a Viral Metagenome Is a Potent RT-PCR Enzyme
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038371
Pubmed ID
Authors

Michael J. Moser, Robert A. DiFrancesco, Krishne Gowda, Audrey J. Klingele, Darby R. Sugar, Stacy Stocki, David A. Mead, Thomas W. Schoenfeld

Abstract

Viral metagenomic libraries are a promising but previously untapped source of new reagent enzymes. Deep sequencing and functional screening of viral metagenomic DNA from a near-boiling thermal pool identified clones expressing thermostable DNA polymerase (Pol) activity. Among these, 3173 Pol demonstrated both high thermostability and innate reverse transcriptase (RT) activity. We describe the biochemistry of 3173 Pol and report its use in single-enzyme reverse transcription PCR (RT-PCR). Wild-type 3173 Pol contains a proofreading 3'-5' exonuclease domain that confers high fidelity in PCR. An easier-to-use exonuclease-deficient derivative was incorporated into a PyroScript RT-PCR master mix and compared to one-enzyme (Tth) and two-enzyme (MMLV RT/Taq) RT-PCR systems for quantitative detection of MS2 RNA, influenza A RNA, and mRNA targets. Specificity and sensitivity of 3173 Pol-based RT-PCR were higher than Tth Pol and comparable to three common two-enzyme systems. The performance and simplified set-up make this enzyme a potential alternative for research and molecular diagnostics.

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Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 2%
United States 2 1%
Brazil 2 1%
South Africa 2 1%
Germany 1 <1%
Italy 1 <1%
Turkey 1 <1%
Mexico 1 <1%
Canada 1 <1%
Other 2 1%
Unknown 174 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 25%
Student > Ph. D. Student 30 16%
Student > Master 25 13%
Student > Bachelor 23 12%
Other 11 6%
Other 23 12%
Unknown 30 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 35%
Biochemistry, Genetics and Molecular Biology 57 30%
Engineering 8 4%
Chemistry 7 4%
Immunology and Microbiology 6 3%
Other 9 5%
Unknown 37 19%