Development and evaluation of a real-time quantitative PCR assay for detection and enumeration of yeasts of public health interest in dairy products.

Yeast contamination is a problem in the food industry as a cause of spoilage. Moreover, various species of yeasts are known to be capable of causing opportunistic infections in humans. We have developed a real-time quantitative PCR (qPCR) assay to directly detect and quantify nine emerging opportunistic yeast species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida tropicalis, Clavispora lusitaniae, Filobasidiella neoformans, Issatchenkia orientalis, Trichosporon asahii, and Trichosporon jirovecii) in dairy product samples. We designed six primer pairs, conserved sequences of the variable D1/D2 domains of the 26S rRNA gene, to detect the yeasts and demonstrated their specificity. The qPCR assay could accurately quantify emerging opportunistic yeasts in an artificially contaminated dairy product. qPCR with the primer pairs we designed, was very sensitive and will allow producers to enumerate contaminating yeasts and identify whether they are opportunistic pathogens, in only 4 to 5h. This assay can easily be extended to other food items and to a variety of food-monitoring initiatives.

Makino H ，Fujimoto J ，Watanabe K 《-》

Molecular identification of yeasts associated with traditional Egyptian dairy products.

This study aimed to examine the diversity and ecology of yeasts associated with traditional Egyptian dairy products employing molecular techniques in yeast identification. A total of 120 samples of fresh and stored Domiati cheese, kariesh cheese, and "Matared" cream were collected from local markets and examined. Forty yeast isolates were cultured from these samples and identified using the restriction-fragment length polymorphism (RFLPs) of 5.8S-ITS rDNA region and sequencing of the domains D1 and D2 of the 26S rRNA gene. Yeasts were identified as Issatchenkia orientalis (13 isolates), Candida albicans (4 isolates), Clavispora lusitaniae (Candida lusitaniae) (9 isolates), Kodamaea ohmeri (Pichia ohmeri) (1 isolate), Kluyveromyces marxianus (6 isolates), and Candida catenulata (7 isolates). With the exception of C. lusitaniae, the D1/D2 26S rRNA gene sequences were 100% identical for the yeast isolates within the same species. Phylogenetic reconstruction of C. lusitaniae isolates grouped them into 3 distinguished clusters. Kariesh cheese was found to be the most diverse in its yeast floras and contained the highest total yeast count compared with other examined dairy products. This was linked to the acidic pH and lower salt content of this cheese, which favor the growth and survival of yeasts in foodstuffs. Stored Domiati cheese also contained diverse yeast species involving isolates of the pathogenic yeast C. albicans. This raises the possibility of dairy products being vehicles of transmission of pathogenic yeasts.

El-Sharoud WM ，Belloch C ，Peris D ，Querol A ... -  《-》

Development of multiplex loop-mediated isothermal amplification assays to detect medically important yeasts in dairy products.

Rapid detection of yeast contamination is important in the food industry. We have developed loop-mediated isothermal amplification (LAMP) assays to detect the emerging opportunistic pathogenic yeasts: Candida albicans, Candida glabrata, Candida tropicalis, the Candida parapsilosis group, Trichosporon asahii, and Trichosporon mucoides. These yeasts may cause deep-seated candidiasis or trichosporonosis. Four LAMP primer sets specific for Candida were designed to target the internal transcribed spacer 2 (ITS2) region between the 5.8S and 26S rRNA genes, and two LAMP primer sets specific for Trichosporon were designed to target the intergenic spacer 1 (IGS1) region between the 26S and 5S rRNA genes. The LAMP assays could detect these yeasts in a range between 10(0) and 10(3)  cells mL(-1) in a contaminated dairy product within 1 h. We also developed multiplex LAMP assays to detect these Candida or Trichosporon species in a single reaction. Multiplex LAMP assays can detect contamination if at least one of the target species is present; they are more time- and cost-efficient than conventional methods and could detect target yeasts with sensitivity close to that of the LAMP assays. Multiplex LAMP assays established in this study can be used as a primary screening method for yeast contamination in food products.

Kasahara K ，Ishikawa H ，Sato S ，Shimakawa Y ，Watanabe K ... -  《-》

Real-time quantitative PCR (QPCR) and reverse transcription-QPCR for detection and enumeration of total yeasts in wine.

Hierro N ，Esteve-Zarzoso B ，González A ，Mas A ，Guillamón JM ... -  《-》

Characterization of the yeast ecosystem in grape must and wine using real-time PCR.

The complex microbial ecosystem of grape must and wine harbours a wide diversity of yeast species. Specific oligonucleotide primers for real-time quantitative PCR(QPCR) were designed to analyse several important non-Saccharomyces yeasts (Issatchenkia orientalis, Metschnikowia pulcherrima, Torulaspora delbrueckii, Candida zemplinina and Hanseniaspora spp.) and Saccharomyces spp. in fresh wine must, during fermentation and in the finished wine. The specificity of all primer couples for their target yeast species were validated and the QPCR methods developed were compared with a classic approach of colony identification by RFLP-ITS-PCR on cultured samples. Once the methods had been developed and validated, they were used to study these non-Saccharomyces yeasts in wine samples and to monitor their dynamics throughout the fermentation process. This study confirms the usefulness and the relevance of QPCR for studying non-Saccharomyces yeasts in the complex yeast ecosystem of grape must and wine.

Zott K ，Claisse O ，Lucas P ，Coulon J ，Lonvaud-Funel A ，Masneuf-Pomarede I ... -  《-》