scholarly journals Typing of Candida glabrata in Clinical Isolates by Comparative Sequence Analysis of the Cytochrome c Oxidase Subunit 2 Gene Distinguishes Two Clusters of Strains Associated with Geographical Sequence Polymorphisms

2000 ◽  
Vol 38 (1) ◽  
pp. 227-235
Author(s):  
Gerdine F. O. Sanson ◽  
Marcelo R. S. Briones

ABSTRACT We tested whether comparative sequence analysis of the mitochondrion-encoded cytochrome c oxidase subunit 2 gene ( COX2 ) could be used to distinguish intraspecific variants of Candida glabrata . Mitochondrial genes are suitable for investigation of close phylogenetic relationships because they evolve much faster than nuclear genes, which in general exhibit very limited intraspecific variation. For this survey we used 11 clinical isolates of C. glabrata from three different geographical locations in Brazil, 10 isolates from one location in the United States, 1 American Type Culture Collection strain as an internal control, and the published sequence of strain CBS 138. The complete coding region of COX2 was amplified from total cellular DNA, and both strands were sequenced twice for each strain. These sequences were aligned with published sequences from other fungi, and the numbers of substitutions and phylogenetic relationships were determined. Typing of these strains was done by using 17 substitutions, with 8 being nonsynonymous and 9 being synonymous. Also, cDNAs made from purified mitochondrial polyadenylated RNA were sequenced to confirm that our sequences correspond to the expressed copies and not nuclear pseudogenes and that a frameshift mutation exists in the 3′ end of the coding region (position 673) relative to the Saccharomyces cerevisiae sequence and the previously published C. glabrata sequence. We estimated the average evolutionary rate of COX2 to be 11.4% sequence divergence/10 8 years and that phylogenetic relationships of yeasts based on these sequences are consistent with rRNA sequence data. Our analysis of COX2 sequences enables typing of C. glabrata strains based on 13 haplotypes and suggests that positions 51 and 519 indicate a geographical polymorphism that discriminates strains isolated in the United States and strains isolated in Brazil. This provides for the first time a means of typing of Candida strains that cause infections by use of direct sequence comparisons and the associated divergence estimates.

1999 ◽  
Vol 37 (6) ◽  
pp. 1714-1720 ◽  
Author(s):  
Bum-Joon Kim ◽  
Seung-Hyun Lee ◽  
Mi-Ae Lyu ◽  
Seo-Jeong Kim ◽  
Gill-Han Bai ◽  
...  

For the differentiation and identification of mycobacterial species, the rpoB gene, encoding the β subunit of RNA polymerase, was investigated. rpoB DNAs (342 bp) were amplified from 44 reference strains of mycobacteria and clinical isolates (107 strains) by PCR. The nucleotide sequences were directly determined (306 bp) and aligned by using the multiple alignment algorithm in the MegAlign package (DNASTAR) and the MEGA program. A phylogenetic tree was constructed by the neighbor-joining method. Comparative sequence analysis of rpoB DNAs provided the basis for species differentiation within the genusMycobacterium. Slowly and rapidly growing groups of mycobacteria were clearly separated, and each mycobacterial species was differentiated as a distinct entity in the phylogenetic tree. Pathogenic Mycobacterium kansasii was easily differentiated from nonpathogenic M. gastri; this differentiation cannot be achieved by using 16S rRNA gene (rDNA) sequences. By being grouped into species-specific clusters with low-level sequence divergence among strains of the same species, all of the clinical isolates could be easily identified. These results suggest that comparative sequence analysis of amplified rpoB DNAs can be used efficiently to identify clinical isolates of mycobacteria in parallel with traditional culture methods and as a supplement to 16S rDNA gene analysis. Furthermore, in the case of M. tuberculosis, rifampin resistance can be simultaneously determined.


1984 ◽  
Vol 51 (1) ◽  
pp. 97-101 ◽  
Author(s):  
G W Both ◽  
L J Siegman ◽  
A R Bellamy ◽  
N Ikegami ◽  
A J Shatkin ◽  
...  

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