|
KMID : 0364820080440040333
|
|
Korean Journal of Microbiology
2008 Volume.44 No. 4 p.333 ~ p.338
|
|
|
Identification Based on Computational Analysis of rpoB Sequence of Bacillus anthracis and Closely Related Species
|
|
Kim Kyu-Kwang
Kim Han-Bok
|
|
|
Abstract
|
|
|
|
Computational analysis of partial rpoB gene sequence (777 bp) was done in this study to identify B. anthracis and its closely related species B. cereus and B. thuringiensis. Sequence data including 17 B. anthracis strains, 9 B. cereus strains, and 7 B. thuringiensis strains were obtained by searching databases. Those sequences were aligned and used for other computational analysis. B. anthracis strains were identificated by in silico restriction enzyme digestion. B. cereus and B. thuringiensis were not segregated by this method. Those sequencing and BLAST search were required to distinguish the two. In actual identification tests, B. anthracis strains could be identified by PCR-RFLP, and B. cereus and B. thuringiensis strains were distinguished by BLAST search with reliable e-value. In this study fast and accurate method for identifying three Bacillus species, and flow chart of identification were developed.
|
|
|
KEYWORD
|
|
|
B. anthracis, B. cereus, B. thuringiensis, identification, rpoB
|
|
|
FullTexts / Linksout information
|
|
|
|
|
Listed journal information
|
|
|