Literature DB >> 11774196

16S rRNA gene sequencing for bacterial pathogen identification in the clinical laboratory.

J B Patel1.   

Abstract

For many years, sequencing of the 16S ribosomal RNA (rRNA) gene has served as an important tool for determining phylogenetic relationships between bacteria. The features of this molecular target that make it a useful phylogenetic tool also make it useful for bacterial detection and identification in the clinical laboratory. Sequence analysis of the 16S rRNA gene is a powerful mechanism for identifying new pathogens in patients with suspected bacterial disease, and more recently this technology is being applied in the clinical laboratory for routine identification of bacterial isolates. Several studies have shown that sequence identification is useful for slow-growing, unusual, and fastidious bacteria as well as for bacteria that are poorly differentiated by conventional methods. The technical resources necessary for sequence identification are significant. This method requires reagents and instrumentation for amplification and sequencing, a database of known sequences, and software for sequence editing and database comparison. Commercial reagents are available, and laboratory-developed assays for amplification and sequencing have been reported. Likewise, there are an increasing number of commercial and public databases. Despite the availability of resources, sequence-based identification is still relatively expensive. The cost is significantly reduced only by the introduction of more automated methods. As the cost decreases, this technology is likely to be more widely applied in the clinical setting.

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Year:  2001        PMID: 11774196     DOI: 10.1054/modi.2001.29158

Source DB:  PubMed          Journal:  Mol Diagn        ISSN: 1084-8592


  68 in total

1.  Ribosomal DNA sequencing for identification of aerobic gram-positive rods in the clinical laboratory (an 18-month evaluation).

Authors:  P P Bosshard; S Abels; R Zbinden; E C Böttger; M Altwegg
Journal:  J Clin Microbiol       Date:  2003-09       Impact factor: 5.948

2.  Comparison of conventional and molecular methods for identification of aerobic catalase-negative gram-positive cocci in the clinical laboratory.

Authors:  P P Bosshard; S Abels; M Altwegg; E C Böttger; R Zbinden
Journal:  J Clin Microbiol       Date:  2004-05       Impact factor: 5.948

Review 3.  Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases.

Authors:  Jill E Clarridge
Journal:  Clin Microbiol Rev       Date:  2004-10       Impact factor: 26.132

4.  16S rRNA gene sequencing versus the API 20 NE system and the VITEK 2 ID-GNB card for identification of nonfermenting Gram-negative bacteria in the clinical laboratory.

Authors:  P P Bosshard; R Zbinden; S Abels; B Böddinghaus; M Altwegg; E C Böttger
Journal:  J Clin Microbiol       Date:  2006-04       Impact factor: 5.948

5.  16S rRNA gene sequencing and the routine clinical microbiology laboratory: a perfect marriage?

Authors:  Michael Boudewijns; Judith M Bakkers; Patrick D J Sturm; Willem J G Melchers
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

6.  Detection of live and antibiotic-killed bacteria by quantitative real-time PCR of specific fragments of rRNA.

Authors:  Steve Aellen; Yok-Ai Que; Bertrand Guignard; Marisa Haenni; Philippe Moreillon
Journal:  Antimicrob Agents Chemother       Date:  2006-06       Impact factor: 5.191

7.  Matrix-assisted laser desorption ionization-time of flight mass spectrometry for the discrimination of food-borne microorganisms.

Authors:  Maria Fiorella Mazzeo; Alida Sorrentino; Marcello Gaita; Giuseppina Cacace; Michele Di Stasio; Angelo Facchiano; Giuseppe Comi; Antonio Malorni; Rosa Anna Siciliano
Journal:  Appl Environ Microbiol       Date:  2006-02       Impact factor: 4.792

Review 8.  16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls.

Authors:  J Michael Janda; Sharon L Abbott
Journal:  J Clin Microbiol       Date:  2007-07-11       Impact factor: 5.948

9.  A novel thermotolerant Pediococcus acidilactici B-25 strain for color, COD, and BOD reduction of distillery effluent for end use applications.

Authors:  Soni Tiwari; Priyanka Rai; Santosh Kumar Yadav; Rajeeva Gaur
Journal:  Environ Sci Pollut Res Int       Date:  2012-12-07       Impact factor: 4.223

10.  Methods for identification of Staphylococcus aureus isolates in cases of bovine mastitis.

Authors:  Patrick Boerlin; Peter Kuhnert; Daniela Hüssy; Melchior Schaellibaum
Journal:  J Clin Microbiol       Date:  2003-02       Impact factor: 5.948

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