Open Accesstuf Gene Sequence Analysis Has Greater Discriminatory Power than 16S rRNA Sequence Analysis in Identification of Clinical Isolates of Coagulase-Negative Staphylococci
Author(s) -
Sang Mee Hwang,
Myoung Shin Kim,
Kyoung Un Park,
Jae-Joon Song,
Eui Chong Kim
Publication year - 2011
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.05213-11
Subject(s) - genbank , biology , 16s ribosomal rna , genetics , sequence analysis , gene , ribosomal rna , gene sequence , coagulase , identification (biology) , staphylococcus , bacteria , staphylococcus aureus , botany
We compared and analyzed 16S rRNA andtuf gene sequences for 97 clinical isolates of coagulase-negative staphylococci (CNS) by use of the GenBank, MicroSeq, EzTaxon, and BIBI databases. Discordant results for definitive identification were observed and differed according to the different databases and target genes. Although higher percentages of sequence identity were obtained with GenBank and MicroSeq for 16S rRNA analysis, the BIBI and EzTaxon databases produced less ambiguous results. Greater discriminatory power and fewer multiple probable identifications were observed withtuf gene analysis than with 16S rRNA analysis. The most pertinent results fortuf gene analysis were obtained with the GenBank database when the cutoff values for the percentage of identity were adjusted to be greater than or equal to 98.0%, with >0.8% separation between species. Analysis of thetuf gene proved to be more discriminative for certain CNS species; further, this method exhibited better distinction in the identification of CNS clinical isolates.