상세 정보

underline
Metadata Downloads : dc(xml) or Excel
Cited 0 time in scopus ci

Title 

Quantitative real time PCR assays for the enumeration of Saccharomyces cerevisiae and Saccharomyces sensu stricto complex in human feces

Authors 

Ho Won ChangYoung Do NamY SungKyoung-Ho KimSeongWoon RohJung-Hoon YoonK G AnJin-Woo Bae

Publisher 

Elsevier

Issue Date 

2007

Citation 

Journal of Microbiological Methods, vol. 71, no. 3, pp. 191-201

Keywords 

human fecesreal time PCRsaccharomyces cerevisiaesaccharomyces sensu strictofeces analysisnonhumanquantitative analysissaccharomyces sensufeceshumans

Abstract 

There have been an increasing number of reports of yeast systemic infection involving Saccharomyces cerevisiae strains. The development of a rapid and reliable diagnostic tool is therefore warranted in order to explore the distribution of S. cerevisiae as an opportunistic pathogen in humans. In this study, we designed and validated five primer sets targeting the 26S rRNA gene of S. cerevisiae and the S. sensu stricto complex using 26 yeast strains. Among them, two sets of primers specifically amplified the 26S rRNA gene and the ITS region of S. cerevisiae strains, and three sets were specific for amplifying the same genes in the S. sensu stricto complex. After determining the optimal conditions of two primer pairs for quantitative real time PCR, human fecal samples were analyzed to examine the distribution of S. cerevisiae and the S. sensu stricto complex. It was possible to detect a single cell of S. cerevisiae in environmental sample. Qualitative PCR revealed that out of eleven fecal samples tested, one sample contained S. cerevisiae and four samples contained the S. sensu stricto complex. Quantitative real time PCR revealed that the target gene copy numbers of S. cerevisiae and the S. sensu stricto complex were 0.84 and 2.44 respectively, in 1 ng of DNA from the bulk fecal community.

ISSN 

0167-7012

Link 

http://dx.doi.org/10.1016/j.mimet.2007.08.013

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


There are no files associated with this item.
qrcode

FusionCharts.
DSpace Software Coptright(c) 2010 MIT and Hewleft-Packard  /  KRIBB-REPOSITORY ( Email:jakim@kribb.re.kr)