Ann Clin Microbiol.  2015 Mar;18(1):20-26. 10.5145/ACM.2015.18.1.20.

Comparison of the Vitek 2, API 20A, and 16s rRNA Gene Sequencing for the Identification of Anaerobic Bacteria

Affiliations
  • 1Department of Laboratory Medicine, Chosun University College of Medicine, Gwangju, Korea. sjbjang@chosun.ac.kr
  • 2Research Center for Resistant Cells, Chosun University College of Medicine, Gwangju, Korea.
  • 3Department of Oral Biochemistry, College of Dentistry, Chosun University, Gwangju, Korea.
  • 4Department of Radiology, Chosun University College of Medicine, Gwangju, Korea.
  • 5Department of Microbiology, College of Medicine, Chosun University, Gwangju, Korea.
  • 6Department of Laboratory Medicine, Chonbuk National University Medical School, Jeonju, Korea.
  • 7Chonbuk National University Hospital Branch of National Culture Collection of Pathogens, Jeonju, Korea.

Abstract

BACKGROUND
Recently, genotypic identification of anaerobes is emerging as an alternative to the phenotypic method. In this study, we evaluated the performance of Vitek 2, API 20A and 16s rRNA gene sequencing for the identification of anaerobic bacteria.
METHODS
A total of 35 anaerobe reference strains were identified using Vitek 2, API 20A and 16s rRNA gene sequencing. We evaluated the performance of three methods on the basis of the accurate identification rates.
RESULTS
The Vitek 2, API 20A and 16s rRNA gene sequencing identified 54.3, 15.4, and 94.3% of test strains correctly at the species level and identified 77.1, 42.3, and 100% at the genus level, respectively. Results of the McNemar's test showed that there was a significant difference between each of the three identification methods in species level identification (P value<0.05).
CONCLUSION
16s rRNA gene sequencing showed better performance than Vitek 2 or API 20A for anaerobic bacteria. Considering its excellent performance, 16s rRNA gene sequencing may be useful for accurate identification of anaerobic bacteria that cannot be correctly identified by phenotypic methods.

Keyword

Anaerobic bacteria; API 20A; Comparison; Vitek 2; 16s rRNA Gene sequence

MeSH Terms

Bacteria, Anaerobic*
Genes, rRNA*

Reference

1.Park Y., Lee Y., Kim M., Choi JY., Yong D., Jeong SH, et al. Recent trends of anaerobic bacteria isolated from clinical specimens and clinical characteristics of anaerobic bacteremia. Infect Chemother. 2009. 41:216–23.
Article
2.Wilson JR., Limaye AP. Risk factors for mortality in patients with anaerobic bacteremia. Eur J Clin Microbiol Infect Dis. 2004. 23:310–6.
3.Lassmann B., Gustafson DR., Wood CM., Rosenblatt JE. Reemer-gence of anaerobic bacteremia. Clin Infect Dis. 2007. 44:895–900.
Article
4.Summanen P., Jousimies-Somer H. Comparative evaluation of RapID ANA and API 20 A for identification of anaerobic bacteria. Eur J Clin Microbiol Infect Dis. 1988. 7:771–5.
5.Lee EH., Degener JE., Welling GW., Veloo AC. Evaluation of the Vitek 2 ANC card for identification of clinical isolates of anaerobic bacteria. J Clin Microbiol. 2011. 49:1745–9.
Article
6.Blairon L., Maza ML., Wybo I., Piérard D., Dediste A., Vandenberg O. Vitek 2 ANC card versus BBL Crystal Anaerobe and RapID ANA II for identification of clinical anaerobic bacteria. Anaerobe. 2010. 16:355–61.
Article
7.Mory F., Alauzet C., Matuszeswski C., Riegel P., Lozniewski A. Evaluation of the new Vitek 2 ANC card for identification of medi-cally relevant anaerobic bacteria. J Clin Microbiol. 2009. 47:1923–6.
Article
8.Rennie RP., Brosnikoff C., Turnbull L., Reller LB., Mirrett S., Janda W, et al. Multicenter evaluation of the Vitek 2 anaerobe and Cory-nebacterium identification card. J Clin Microbiol. 2008. 46:2646–51.
9.Schreckenberger PC., Celig DM., Janda WM. Clinical evaluation of the Vitek ANI card for identification of anaerobic bacteria. J Clin Microbiol. 1988. 26:225–30.
Article
10.Kierzkowska M., Majewska A., Kuthan RT., Sawicka-Grzelak A., Mł ynarczyk G. A comparison of Api 20A vs MALDI-TOF MS for routine identification of clinically significant anaerobic bacterial strains to the species level. J Microbiol Methods. 2013. 92:209–12.
Article
11.Li Y., Gu B., Liu G., Xia W., Fan K., Mei Y, et al. MALDI-TOF MS versus VITEK 2 ANC card for identification of anaerobic bacteria. J Thorac Dis. 2014. 6:517–23.
12.Song Y., Liu C., McTeague M., Finegold SM. 16S ribosomal DNA sequence-based analysis of clinically significant gram-positive anaerobic cocci. J Clin Microbiol. 2003. 41:1363–9.
Article
13.Petti CA., Polage CR., Schreckenberger P. The role of 16S rRNA gene sequencing in identification of microorganisms misidentified by conventional methods. J Clin Microbiol. 2005. 43:6123–5.
Article
14.Downes J., King A., Hardie J., Phillips I. Evaluation of the Rapid ID 32A system for identification of anaerobic Gram-negative bacilli, excluding the Bacteroides fragilis group. Clin Microbiol Infect. 1999. 5:319–26.
Article
15.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. table of contents.
Article
16.Justesen US., Skov MN., Knudsen E., Holt HM., S⊘gaard P., Justesen T. 16S rRNA gene sequencing in routine identification of anaerobic bacteria isolated from blood cultures. J Clin Microbiol. 2010. 48:946–8.
Article
17.Song Y., Liu C., Bolanos M., Lee J., McTeague M., Finegold SM. Evaluation of 16S rRNA sequencing and reevaluation of a short biochemical scheme for identification of clinically significant Bacteroides species. J Clin Microbiol. 2005. 43:1531–7.
18.Lau SK., Woo PC., Fung AM., Chan KM., Woo GK., Yuen KY. Anaerobic, non-sporulating, Gram-positive bacilli bacteraemia chara-cterized by 16S rRNA gene sequencing. J Med Microbiol. 2004. 53:1247–53.
Article
19.Yang NW., Kim JM., Choi GJ., Jang SJ. Development and evaluation of the quick anaero-system-a new disposable anaerobic culture system. Korean J Lab Med. 2010. 30:133–7.
Article
20.Simmon KE., Mirrett S., Reller LB., Petti CA. Genotypic diversity of anaerobic isolates from bloodstream infections. J Clin Microbiol. 2008. 46:1596–601.
Article
21.CLSI. Interpretive criteria for identification of bacteria and fungi by DNA target sequencing. CLSI document MM18-A. Wayne, PA; Clinical and Laboratory Standards Institute. 2008.
22.Park KS., Ki CS., Kang CI., Kim YJ., Chung DR., Peck KR, et al. Evaluation of the GenBank, EzTaxon, and BIBI services for molecular identification of clinical blood culture isolates that were unidentifiable or misidentified by conventional methods. J Clin Microbiol. 2012. 50:1792–5.
Article
23.Mellmann A., Cloud JL., Andrees S., Blackwood K., Carroll KC., Kabani A, et al. Evaluation of RIDOM, MicroSeq, and Genbank services in the molecular identification of Nocardia species. Int J Med Microbiol. 2003. 293:359–70.
Article
Full Text Links
  • ACM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr