Evidence map›Paper›PMID 29484449›Full record

ArticleCurrent microbiology2018

Assessment of Multi Fragment Melting Analysis System (MFMAS) for the Identification of Food-Borne Yeasts.

Zülal Kesmen, Mine E Büyükkiraz, Esra Özbekar, Mete Çelik, F Özge Özkök, Özge Kılıç, Bülent Çetin, Hasan Yetim

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. High-Resolution Melting Analysis Potential forBiotech (Basel (Switzerland)) · 2024
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Zülal KesmenFood Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey. zkesmen@erciyes.edu.tr.ORCID http://orcid.org/0000-0002-4505-6871
Mine E BüyükkirazFood Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey.
Esra ÖzbekarFood Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey.
Mete ÇelikComputer Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey.
F Özge ÖzkökComputer Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey.
Özge KılıçFood Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey.
Bülent ÇetinFood Engineering Department, Faculty of Agriculture, Atatürk University, Erzurum, Turkey.
Hasan YetimDepartment of Gastronomy and Culinary Arts, Gelisim University, Istanbul, Turkey.
Erciyes University · TRAtatürk University · TRİstanbul Gelişim Üniversitesi · TR

Funding

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu TOVAG 114O177
6 · The paper itself

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 food-associated 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.

Indexed as

BeveragesDNA, FungalFood MicrobiologyPhylogenyPolymorphism, Restriction Fragment LengthSaccharomyces cerevisiaeYeastsDNA, Fungal

Identifiers

PMID29484449
OpenAlexW2793071964

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.