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Evaluation of four methods of assigning species and genus to medically important bacteria using 16S rRNA gene sequence analysis

Authors :
Ji Ae Choi
Sook-Jin Jang
Xue Min Li
Soon-Nang Park
Dae-Soo Moon
Min Jung Lee
Gyun Cheol Park
Won-Young Jin
Geon Park
Chul Ho Jang
Seong-Ho Kang
Joong-Ki Kook
Seong-Sig Cho
Source :
Microbiology and Immunology. 59:285-298
Publication Year :
2015
Publisher :
Wiley, 2015.

Abstract

The four methods for assigning bacterial species are the Clinical and Laboratory Standards Institute (CLSI), modified CLSI (mCLSI), phylogenetic analysis (PA) and closest match (CM) methods, these are used to identify the genus and species using 16S rRNA gene sequence results. In this study, the results of identification by these four methods of 37 aerobic reference strains, 30 anaerobic reference strains, 15 Acinetobacter reference strains and 167 Acinetobacter clinical strains were compared. The rates of accurate identification to the species level using the CLSI, mCLSI, PA and CM methods were as follows: 24.3, 86.5, 86.5 and 89.2%, respectively, for the 37 aerobic reference strains; 73.3%, 96.7%, 90.0% and 93.3%, respectively, for the 30 anaerobic reference strains; 40.0%, 93.3%, 100% and 93.3%, respectively, for the 15 Acinetobacter reference strains; and 53.9%, 90.4%, 95.8% and 90.4%, respectively, for the 167 Acinetobacter clinical strains. The rates of accurate identification to the genus level using the CLSI, mCLSI, PA, and CM methods were as follows: 91.9%, 91.9%, 94.6% and 91.9%, respectively, for the 37 aerobic reference strains; 100%, 100%, 100% and 100%, respectively, for all of the 30 anaerobic reference strains, 15 Acinetobacter reference strains and the 167 Acinetobacter clinical strains. The mCLSI is the most practical and pragmatic method for identification of species based on 16S rRNA sequences for hospital, research or industry laboratories because it performs well and involves a simple procedure.

Details

ISSN :
03855600
Volume :
59
Database :
OpenAIRE
Journal :
Microbiology and Immunology
Accession number :
edsair.doi...........ae8d0f6da230a2789371ae3a66f6b578