Literature DB >> 21366628

ThermoPhyl: a software tool for selecting phylogenetically optimized conventional and quantitative-PCR taxon-targeted assays for use with complex samples.

Brian B Oakley1, Scot E Dowd, Kevin J Purdy.   

Abstract

The ability to specifically and sensitively target genotypes of interest is critical for the success of many PCR-based analyses of environmental or clinical samples that contain multiple templates. Next-generation sequence data clearly show that such samples can harbour hundreds to thousands of operational taxonomic units, a richness that precludes the manual evaluation of candidate assay specificity and sensitivity using multiple sequence alignments. To solve this problem, we have developed and validated a free software tool that automates the identification of PCR assays targeting specific genotypes in complex samples. ThermoPhyl uses user-defined target and nontarget sequence databases to assess the phylogenetic sensitivity and specificity of thermodynamically optimized candidate assays derived from primer design software packages. ThermoPhyl derives its name from its central premise of testing Thermodynamically optimal assays for Phylogenetic specificity and sensitivity and can be used for two primer (traditional PCR) or two primers with an internal probe (e.g. TaqMan(®) qPCR) application and potentially for oligonucleotide probes. Here, we describe the use of ThermoPhyl for traditional PCR and qPCR assays. PCR assays selected using ThermoPhyl were validated using 454 pyrosequencing of a traditional specific PCR assay and with a set of four genotype-specific qPCR assays applied to estuarine sediment samples.
© 2011 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

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Year:  2011        PMID: 21366628     DOI: 10.1111/j.1574-6941.2011.01079.x

Source DB:  PubMed          Journal:  FEMS Microbiol Ecol        ISSN: 0168-6496            Impact factor:   4.194


  3 in total

1.  Contrasting patterns of niche partitioning between two anaerobic terminal oxidizers of organic matter.

Authors:  Brian B Oakley; Franck Carbonero; Scot E Dowd; Robert J Hawkins; Kevin J Purdy
Journal:  ISME J       Date:  2011-11-24       Impact factor: 10.302

2.  The poultry-associated microbiome: network analysis and farm-to-fork characterizations.

Authors:  Brian B Oakley; Cesar A Morales; J Line; Mark E Berrang; Richard J Meinersmann; Glenn E Tillman; Mark G Wise; Gregory R Siragusa; Kelli L Hiett; Bruce S Seal
Journal:  PLoS One       Date:  2013-02-27       Impact factor: 3.240

3.  Metabolic flexibility as a major predictor of spatial distribution in microbial communities.

Authors:  Franck Carbonero; Brian B Oakley; Kevin J Purdy
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

  3 in total

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