Literature DB >> 18828852

Then and now: use of 16S rDNA gene sequencing for bacterial identification and discovery of novel bacteria in clinical microbiology laboratories.

P C Y Woo1, S K P Lau, J L L Teng, H Tse, K-Y Yuen.   

Abstract

In the last decade, as a result of the widespread use of PCR and DNA sequencing, 16S rDNA sequencing has played a pivotal role in the accurate identification of bacterial isolates and the discovery of novel bacteria in clinical microbiology laboratories. For bacterial identification, 16S rDNA sequencing is particularly important in the case of bacteria with unusual phenotypic profiles, rare bacteria, slow-growing bacteria, uncultivable bacteria and culture-negative infections. Not only has it provided insights into aetiologies of infectious disease, but it also helps clinicians in choosing antibiotics and in determining the duration of treatment and infection control procedures. With the use of 16S rDNA sequencing, 215 novel bacterial species, 29 of which belong to novel genera, have been discovered from human specimens in the past 7 years of the 21st century (2001-2007). One hundred of the 215 novel species, 15 belonging to novel genera, have been found in four or more subjects. The largest number of novel species discovered were of the genera Mycobacterium (n = 12) and Nocardia (n = 6). The oral cavity/dental-related specimens (n = 19) and the gastrointestinal tract (n = 26) were the most important sites for discovery and/or reservoirs of novel species. Among the 100 novel species, Streptococcus sinensis, Laribacter hongkongensis, Clostridium hathewayi and Borrelia spielmanii have been most thoroughly characterized, with the reservoirs and routes of transmission documented, and S. sinensis, L. hongkongensis and C. hathewayi have been found globally. One of the greatest hurdles in putting 16S rDNA sequencing into routine use in clinical microbiology laboratories is automation of the technology. The only step that can be automated at the moment is input of the 16S rDNA sequence of the bacterial isolate for identification into one of the software packages that will generate the result of the identity of the isolate on the basis of its sequence database. However, studies on the accuracy of the software packages have given highly varied results, and interpretation of results remains difficult for most technicians, and even for clinical microbiologists. To fully utilize 16S rDNA sequencing in clinical microbiology, better guidelines are needed for interpretation of the identification results, and additional/supplementary methods are necessary for bacterial species that cannot be identified confidently by 16S rDNA sequencing alone.

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Year:  2008        PMID: 18828852     DOI: 10.1111/j.1469-0691.2008.02070.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  174 in total

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2.  Recognition of potentially novel human disease-associated pathogens by implementation of systematic 16S rRNA gene sequencing in the diagnostic laboratory.

Authors:  Peter M Keller; Silvana K Rampini; Andrea C Büchler; Gerhard Eich; Roger M Wanner; Roberto F Speck; Erik C Böttger; Guido V Bloemberg
Journal:  J Clin Microbiol       Date:  2010-07-14       Impact factor: 5.948

3.  Detection of a mixed infection in a culture-negative brain abscess by broad-spectrum bacterial 16S rRNA gene PCR.

Authors:  Peter M Keller; Silvana K Rampini; Guido V Bloemberg
Journal:  J Clin Microbiol       Date:  2010-04-14       Impact factor: 5.948

4.  Rapid identification of mycobacterial whole cells in solid and liquid culture media by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Aurélie Lotz; Agnès Ferroni; Jean-Luc Beretti; Brunhilde Dauphin; Etienne Carbonnelle; Hélène Guet-Revillet; Nicolas Veziris; Béate Heym; Vincent Jarlier; Jean-Louis Gaillard; Catherine Pierre-Audigier; Eric Frapy; Patrick Berche; Xavier Nassif; Emmanuelle Bille
Journal:  J Clin Microbiol       Date:  2010-10-13       Impact factor: 5.948

5.  Empyema caused by Anaeroglobus geminates, a case report with literature review.

Authors:  C-H Wang; L-P Kan; J-R Sun; C-M Yu; T Yin; T-W Huang; W-C Tsai; Y-S Yang
Journal:  Infection       Date:  2014-08-26       Impact factor: 3.553

6.  Using DGGE and 16S rRNA gene sequence analysis to evaluate changes in oral bacterial composition.

Authors:  Zhou Chen; Harsh M Trivedi; Nok Chhun; Virginia M Barnes; Deepak Saxena; Tao Xu; Yihong Li
Journal:  Chin J Dent Res       Date:  2011

7.  Comparison of traditional phenotypic identification methods with partial 5' 16S rRNA gene sequencing for species-level identification of nonfermenting Gram-negative bacilli.

Authors:  Joann L Cloud; Dag Harmsen; Peter C Iwen; James J Dunn; Gerri Hall; Paul Rocco Lasala; Karen Hoggan; Deborah Wilson; Gail L Woods; Alexander Mellmann
Journal:  J Clin Microbiol       Date:  2010-02-17       Impact factor: 5.948

8.  Broad-spectrum biosensor capable of detecting and identifying diverse bacterial and Candida species in blood.

Authors:  David Metzgar; Mark Frinder; Robert Lovari; Donna Toleno; Christian Massire; Lawrence B Blyn; Raymond Ranken; Heather E Carolan; Thomas A Hall; David Moore; Christian J Hansen; Rangarajan Sampath; David J Ecker
Journal:  J Clin Microbiol       Date:  2013-06-12       Impact factor: 5.948

Review 9.  Matrix-assisted laser desorption ionization-time of flight mass spectrometry: a fundamental shift in the routine practice of clinical microbiology.

Authors:  Andrew E Clark; Erin J Kaleta; Amit Arora; Donna M Wolk
Journal:  Clin Microbiol Rev       Date:  2013-07       Impact factor: 26.132

10.  Internal transcribed spacer region sequence heterogeneity in Rhizopus microsporus: implications for molecular diagnosis in clinical microbiology laboratories.

Authors:  Patrick C Y Woo; Shui-Yee Leung; Kelvin K W To; Jasper F W Chan; Antonio H Y Ngan; Vincent C C Cheng; Susanna K P Lau; Kwok-Yung Yuen
Journal:  J Clin Microbiol       Date:  2009-11-11       Impact factor: 5.948

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