Literature DB >> 22160310

Detection and identification of bacteria in clinical samples by 16S rRNA gene sequencing: comparison of two different approaches in clinical practice.

Claire Jenkins1,2, Clare L Ling1,2, Holly L Ciesielczuk3,2, Julianne Lockwood2, Susan Hopkins3,2, Timothy D McHugh3, Stephen H Gillespie4,3, Christopher C Kibbler2.   

Abstract

Amplification and sequence analysis of the 16S rRNA gene can be applied to detect and identify bacteria in clinical samples. We examined 75 clinical samples (17 culture-positive, 58 culture-negative) prospectively by two different PCR protocols, amplifying either a single fragment (1343 bp) or two fragments (762/598 bp) of the 16S rRNA gene. The 1343 bp PCR and 762/598 bp PCRs detected and identified the bacterial 16S rRNA gene in 23 (31 %) and 38 (51 %) of the 75 samples, respectively. The 1343 bp PCR identified 19 of 23 (83 %) PCR-positive samples to species level while the 762/598 bp PCR identified 14 of 38 (37 %) bacterial 16S rRNA gene fragments to species level and 24 to the genus level only. Amplification of shorter fragments of the bacterial 16S rRNA gene (762 and 598 bp) resulted in a more sensitive assay; however, analysis of a large fragment (1343 bp) improved species discrimination. Although not statistically significant, the 762/598 bp PCR detected the bacterial 16S rRNA gene in more samples than the 1343 bp PCR, making it more likely to be a more suitable method for the primary detection of the bacterial 16S rRNA gene in the clinical setting. The 1343 bp PCR may be used in combination with the 762/598 bp PCR when identification of the bacterial rRNA gene to species level is required.

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Year:  2011        PMID: 22160310     DOI: 10.1099/jmm.0.030387-0

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  25 in total

1.  Utility of 16S rDNA Sequencing for Identification of Rare Pathogenic Bacteria.

Authors:  Shih Keng Loong; Chee Sieng Khor; Faizatul Lela Jafar; Sazaly AbuBakar
Journal:  J Clin Lab Anal       Date:  2016-05-17       Impact factor: 2.352

Review 2.  Rapid and robust MALDI-TOF MS techniques for microbial identification: a brief overview of their diverse applications.

Authors:  Kyoung-Soon Jang; Young Hwan Kim
Journal:  J Microbiol       Date:  2018-02-28       Impact factor: 3.422

3.  An expanded reference map of the human gut microbiome reveals hundreds of previously unknown species.

Authors:  Sigal Leviatan; Saar Shoer; Daphna Rothschild; Maria Gorodetski; Eran Segal
Journal:  Nat Commun       Date:  2022-07-05       Impact factor: 17.694

4.  Comparison of an automated DNA extraction and 16S rDNA real time PCR/sequencing diagnostic method using optimized reagents with culture during a 15-month study using specimens from sterile body sites.

Authors:  Konrad Egli; Martin Risch; Lorenz Risch; Thomas Bodmer
Journal:  BMC Microbiol       Date:  2022-05-02       Impact factor: 4.465

5.  Benchmarking of 16S rRNA gene databases using known strain sequences.

Authors:  Kunal Dixit; Dimple Davray; Diptaraj Chaudhari; Pratik Kadam; Rudresh Kshirsagar; Yogesh Shouche; Dhiraj Dhotre; Sunil D Saroj
Journal:  Bioinformation       Date:  2021-03-31

6.  Evaluation of a short, on-plate formic acid extraction method for matrix-assisted laser desorption ionization-time of flight mass spectrometry-based identification of clinically relevant yeast isolates.

Authors:  Rebecca L Gorton; Shila Seaton; Purnima Ramnarain; Timothy D McHugh; Christopher C Kibbler
Journal:  J Clin Microbiol       Date:  2014-01-29       Impact factor: 5.948

7.  Effect of bacterial contamination in bile on pancreatic cancer cell survival.

Authors:  Hannah R Shrader; Ann M Miller; Ann Tomanek-Chalkley; Ashley McCarthy; Kristen L Coleman; Po Hien Ear; Ashutosh K Mangalam; Aliasger K Salem; Carlos H F Chan
Journal:  Surgery       Date:  2020-10-22       Impact factor: 3.982

8.  16S rRNA Gene Sequence-Based Identification of Bacteria in Automatically Incubated Blood Culture Materials from Tropical Sub-Saharan Africa.

Authors:  Hagen Frickmann; Denise Dekker; Norbert Georg Schwarz; Andreas Hahn; Kennedy Boahen; Nimako Sarpong; Yaw Adu-Sarkodie; Eva Halbgewachs; Florian Marks; Vera von Kalckreuth; Sven Poppert; Ulrike Loderstaedt; Jürgen May; Ralf Matthias Hagen
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

9.  A pilot metagenomic study reveals that community derived mobile phones are reservoirs of viable pathogenic microbes.

Authors:  Matthew Olsen; Rania Nassar; Abiola Senok; Abdulla Albastaki; John Leggett; Anna Lohning; Mariana Campos; Peter Jones; Simon McKirdy; Lotti Tajouri; Rashed Alghafri
Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

10.  leBIBIQBPP: a set of databases and a webtool for automatic phylogenetic analysis of prokaryotic sequences.

Authors:  Jean-Pierre Flandrois; Guy Perrière; Manolo Gouy
Journal:  BMC Bioinformatics       Date:  2015-08-12       Impact factor: 3.169

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