Korean J Clin Microbiol.  2010 Mar;13(1):34-39. 10.5145/KJCM.2010.13.1.34.

Identification of Bacterial and Fungal Isolates by Sequence Analysis of 16S rRNA and Internal Transcribed Spacer

Affiliations
  • 1Department of Laboratory Medicine, Kwandong University College of Medicine, Goyang, Korea.
  • 2Department of Laboratory Medicine, Soonchunhyang University College of Medicine, Korea.
  • 3Department of Laboratory Medicine, Korean Institute of Tuberculosis, Seoul, Korea.
  • 4Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea.
  • 5Department of Clinical Laboratory Science, Dongeui University, Busan, Korea.
  • 6Department of Laboratory Medicine, Yonsei University College of Medicine, Korea. deyong@yuhs.ac
  • 7Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Korea.

Abstract

BACKGROUND
Accurate and rapid identification of pathogens is one of the most important tasks of the clinical microbiology laboratory, and, in cases of rare pathogens, the identification is difficult and time-consuming upon the use of conventional methods alone. Herein, we will report our molecular work involving the identification of bacteria and fungi.
METHODS
Sixty bacterial isolates had been collected from November 2004 to May 2007, and 15 fungal isolates had been collected from September 2005 to May 2007. Species identifications were performed using sequence analyses of the 16S rRNA region of bacteria and the internal transcribed spacer (ITS) region of fungi. The data were compared with those of GenBank (http://www.ncbi.nlm.nih.gov/) or EMBL (http://www.ebi.ac.uk/embl/).
RESULTS
Sixty bacterial isolates included: 23 isolates with genus information (group 1), 17 isolates (group 2) that were too fastidious for genus or species identification, 16 isolates (group 3) with results from identification kits having low confidence, and 4 isolates (group 4) with odd antibiograms according to the species. In 58 of 60 isolates, identification of the genus or species could be obtained using molecular genetic methods. Thirty-eight isolates (63%) and 20 (33%) of 58 isolates could be identified at the species and genus levels, repectively. Among the total of 15 fungal isolates, 11 (73%) and 4 (27%) isolates were identified at the species and genus levels, respectively.
CONCLUSION
16S rRNA and ITS sequencing analyses are very useful for identifying the species or genus of a pathogenic microorganism in the clinical microbiology laboratory.

Keyword

16S rRNA; Internal transcribed spacer; Nucleotide sequence; Bacterial identification

MeSH Terms

Bacteria
Base Sequence
Databases, Nucleic Acid
Fungi
Microbial Sensitivity Tests
Molecular Biology
Sequence Analysis

Reference

1. Bosshard PP, Abels S, Altwegg M, Böttger EC, Zbinden R. Comparison of conventional and molecular methods for identification of aerobic catalase-negative gram-positive cocci in the clinical laboratory. J Clin Microbiol. 2004; 42:2065–73.
Article
18. Loffler FE, Sun Q, Li J, Tiedje JM. 16S rRNA gene-based detection of tetrachloroethene-dechlorinating Desulfuromonas and Dehalococcoides species. Appl Environ Microbiol. 2000; 66:1369–74.
2. Walsh TJ, Groll A, Hiemenz J, Fleming R, Roilides E, Anaissie E. Infections due to emerging and uncommon medically important fungal pathogens. Clin Microbiol Infect. 2004; 10(Suppl 1):48–66.
Article
3. Patel JB. 16S rRNA gene sequencing for bacterial pathogen identification in the clinical laboratory. Mol Diagn. 2001; 6:313–21.
Article
19. Ferrer C, Colom F, Frasés S, Mulet E, Abad JL, Alió JL. Detection and identification of fungal pathogens by PCR and by ITS2 and 5.8S ribosomal DNA typing in ocular infections. J Clin Microbiol. 2001; 39:2873–9.
Article
4. Chong Y, Lee K, et al. eds. Diagnostic Microbiology. 3rd ed.Seoul: Seoheung Publishing;2006. p. 105–15.
5. Tortoli E. Impact of genotypic studies on mycobacterial taxonomy: the new mycobacteria of the 1990s. Clin Microbiol Rev. 2003; 16:319–54.
Article
20. Bosshard PP, Zbinden R, Abels S, Böddinghaus B, Altwegg M, Böttger EC. 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. J Clin Microbiol. 2006; 44:1359–66.
Article
6. Pace NR. A molecular view of microbial diversity and the biosphere. Science. 1997; 276:734–40.
Article
7. Thorne JL, Kishino H, Painter IS. Estimating the rate of evolution of the rate of molecular evolution. Mol Biol Evol. 1998; 15:1647–57.
Article
21. La Scola B, Gundi VA, Khamis A, Raoult D. Sequencing of the rpoB gene and flanking spacers for molecular identification of Acinetobacter species. J Clin Microbiol. 2006; 44:827–32.
8. Chen YC, Eisner JD, Kattar MM, Rassoulian-Barrett SL, LaFe K, Yarfitz SL, et al. Identification of medically important yeasts using PCR-based detection of DNA sequence polymorphisms in the internal transcribed spacer 2 region of the rRNA genes. J Clin Microbiol. 2000; 38:2302–10.
Article
22. Shin S, Kim EC, Yoon JH. Identification of nontuberculous mycobacteria by sequence analysis of the 16S ribosomal RNA, the heat-shock protein 65 and the RNA polymerase beta-subunit genes. Korean J Lab Med. 2006; 26:153–60.
9. Hinrikson HP, Hurst SF, Lott TJ, Warnock DW, Morrison CJ. Assessment of ribosomal large-subunit D1-D2, internal transcribed spacer 1, and internal transcribed spacer 2 regions as targets for molecular identification of medically important Aspergillus species. J Clin Microbiol. 2005; 43:2092–103.
23. Franco PF and Hedreyda CT. Amplification and sequence analysis of the full length toxR gene in Vibrio harveyi. J Gen Appl Microbiol. 2006; 52:281–7.
24. Ferroni A, Sermet-Gaudelus I, Abachin E, Quesne G, Lenoir G, Berche P, et al. Use of 16S rRNA gene sequencing for identification of nonfermenting gram-negative bacilli recovered from patients attending a single cystic fibrosis center. J Clin Microbiol. 2002; 40:3793–7.
Article
10. Li YL, Leaw SN, Chen JH, Chang HC, Chang TC. Rapid identification of yeasts commonly found in positive blood cultures by amplification of the internal transcribed spacer regions 1 and 2. Eur J Clin Microbiol Infect Dis. 2003; 22:693–6.
Article
11. Massonet C, Van Eldere J, Vaneechoutte M, De Baere T, Verhaegen J, Lagrou K. Comparison of VITEK 2 with ITS2-fragment length polymorphism analysis for identification of yeast species. J Clin Microbiol. 2004; 42:2209–11.
Article
12. Clarridge JE 3rd. Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clin Microbiol Rev. 2004; 17:840–62.
13. Bosshard PP, Abels S, Zbinden R, Böttger EC, Altwegg M. Ribosomal DNA sequencing for identification of aerobic gram-positive rods in the clinical laboratory (an 18-month evaluation). J Clin Microbiol. 2003; 41:4134–40.
Article
14. Clinical and Laboratory Standards Institute. Interpretitive criteria for identification of bacteria and fungi by DNA target sequeincing; Approved guideline. CLSI document MM18-A. Wayne. PA: Clinical and Laboratory Standard Institute:. 2008.
15. Ciardo DE, Schär G, Altwegg M, Böttger EC, Bosshard PP. Identification of moulds in the diagnostic laboratory–an algorithm implementing molecular and phenotypic methods. Diagn Microbiol Infect Dis. 2007; 59:49–60.
Article
16. Sohn KM, Ko KS, Kim J, Rhee JY, Oh WS, Peck KR, et al. Identification of Gemella species by 16S ribosomal RNA gene sequencing from two patients with infective endocarditis. Korean J Int Med. 2006; 70:591–6. 참 고 문 헌.
17. Yoon S, Kim S, Lee KA, Kim H. A case of Scedosporium apiospermum keratitis confirmed by a molecular genetic method. Korean J Lab Med. 2008; 28:307–11.
Article
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