dc.contributor.author | Kesmen, Zülal | |
dc.contributor.author | Büyükkiraz, Mine E. | |
dc.contributor.author | Özbekar, Esra | |
dc.contributor.author | Çelik, Mete | |
dc.contributor.author | Özkök, F. Özge | |
dc.contributor.author | Kılıç, Özge | |
dc.contributor.author | Çetin, Bülent | |
dc.contributor.author | Yetim, Hasan | |
dc.date.accessioned | 2024-03-20T01:02:12Z | |
dc.date.available | 2024-03-20T01:02:12Z | |
dc.date.issued | 2018 | en_US |
dc.identifier.issn | 0343-8651 | |
dc.identifier.issn | 1432-0991 | |
dc.identifier.uri | https://hdl.handle.net/11363/7235 | |
dc.description.abstract | Multi Fragment Melting Analysis System (MFMAS) is a novel approach that was developed for the species-level identification of microorganisms. It is a software-assisted system that performs concurrent melting analysis of 8 different DNA
fragments to obtain a fingerprint of each strain analyzed. The identification is performed according to the comparison of
these fingerprints with the fingerprints of known yeast species recorded in a database to obtain the best possible match. In
this study, applicability of the yeast version of the MFMAS (MFMAS-yeast) was evaluated for the identification of foodassociated yeast species. For this purpose, in this study, a total of 145 yeast strains originated from foods and beverages and
19 standard yeast strains were tested. The DNAs isolated from these yeast strains were analyzed by the MFMAS, and their
species were successfully identified with a similarity rate of 95% or higher. It was shown that the strains belonged to 43
different yeast species that are widely found in the foods. A clear discrimination was also observed in the phylogenetically
related species. In conclusion, it might be suggested that the MFMAS-yeast seems to be a highly promising approach for a
rapid, accurate, and one-step identification of the yeasts isolated from food products and/or their processing environments. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | SPRINGER, ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES | en_US |
dc.relation.isversionof | 10.1007/s00284-018-1437-9 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Different Molecular Techniques | en_US |
dc.subject | Rapid Identification | en_US |
dc.subject | Sequence Analyses | en_US |
dc.subject | Candida-Albicans | en_US |
dc.subject | Fungal Pathogens | en_US |
dc.subject | Spoilage Yeasts | en_US |
dc.subject | Curve Analysis | en_US |
dc.subject | Pcr | en_US |
dc.subject | Differentiation | en_US |
dc.subject | Infections | en_US |
dc.title | Assessment of Multi Fragment Melting Analysis System (MFMAS) for the Identification of Food-Borne Yeasts | en_US |
dc.type | article | en_US |
dc.relation.ispartof | CURRENT MICROBIOLOGY | en_US |
dc.department | Güzel Sanatlar Fakültesi | en_US |
dc.authorid | https://orcid.org/0000-0002-4505-6871 | en_US |
dc.authorid | https://orcid.org/0000-0002-5388-5856 | en_US |
dc.identifier.volume | 75 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.startpage | 716 | en_US |
dc.identifier.endpage | 725 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.institutionauthor | Yetim, Hasan | |