Abstract
A stepwise computational approach using three layers of publicly available software was found to effectively identify DNA signatures for Streptococcus pyogenes. PCR testing validated that 9 out of 15 signature-derived primer sets could detect as low as 5 fg of target DNA with high specificity. The selected signature-derived primer sets were successfully evaluated against all 23 clinical isolates. The approach is readily applicable for designing molecular assays for rapid detection and characterization of various pathogenic bacteria.
Publication types
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Evaluation Study
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Research Support, Non-U.S. Gov't
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Research Support, U.S. Gov't, Non-P.H.S.
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Research Support, U.S. Gov't, P.H.S.
MeSH terms
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Bacteriological Techniques / methods*
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Computational Biology
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DNA Primers / genetics*
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DNA, Bacterial / chemistry
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DNA, Bacterial / genetics*
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Genome, Bacterial
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Humans
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Molecular Diagnostic Techniques / methods*
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Pilot Projects
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Real-Time Polymerase Chain Reaction / methods*
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Sensitivity and Specificity
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Streptococcal Infections / diagnosis
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Streptococcal Infections / microbiology
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Streptococcus pyogenes / genetics*
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Streptococcus pyogenes / isolation & purification*
Substances
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DNA Primers
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DNA, Bacterial