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dc.contributor.authorKesmen, Zulal
dc.contributor.authorKilic, Ozge
dc.contributor.authorGormez, Yasin
dc.contributor.authorCelik, Mete
dc.contributor.authorBakir-Gungor, Burcu
dc.date.accessioned2021-01-26T08:49:40Z
dc.date.available2021-01-26T08:49:40Z
dc.date.issued2020en_US
dc.identifier.issn1872-8359
dc.identifier.issn0167-7012
dc.identifier.otherPubMed ID: 32890569
dc.identifier.urihttps://doi.org/10.1016/j.mimet.2020.106045
dc.identifier.urihttps://hdl.handle.net/20.500.12573/488
dc.descriptionThis study was supported by The Scientific and Technological Research Council of Turkey (TUBITAK Project Number TOVAG116O758) and Erciyes University Scientific and Technological Research Center/Turkey (Project Code: FDA-2017-7588). The MFMAS is a patent-protected product of Erciyes Technopark Inc.en_US
dc.description.abstractThe accurate identification of lactobacilli is essential for the effective management of industrial practices associated with lactobacilli strains, such as the production of fermented foods or probiotic supplements. For this reason, in this study, we proposed the Multi Fragment Melting Analysis System (MFMAS)-lactobacilli based on high resolution melting (HRM) analysis of multiple DNA regions that have high interspecies heterogeneity for fast and reliable identification and characterization of lactobacilli. The MFMAS-lactobacilli is a new and customized version of the MFMAS, which was developed by our research group. MFMAS-lactobacilli is a combined system that consists of i) a ready-to-use plate, which is designed for multiple HRM analysis, and ii) a data analysis software, which is used to characterize lactobacilli species via incorporating machine learning techniques. Simultaneous HRM analysis of multiple DNA fragments yields a fingerprint for each tested strain and the identification is performed by comparing the fingerprints of unknown strains with those of known lactobacilli species registered in the MFMAS. In this study, a total of 254 isolates, which were recovered from fermented foods and probiotic supplements, were subjected to MFMAS analysis, and the results were confirmed by a combination of different molecular techniques. All of the analyzed isolates were exactly differentiated and accurately identified by applying the single-step procedure of MFMAS, and it was determined that all of the tested isolates belonged to 18 different lactobacilli species. The individual analysis of each target DNA region provided identification with an accuracy range from 59% to 90% for all tested isolates. However, when each target DNA region was analyzed simultaneously, perfect discrimination and 100% accurate identification were obtained even in closely related species. As a result, it was concluded that MFMAS-lactobacilli is a multi-purpose method that can be used to differentiate, classify, and identify lactobacilli species. Hence, our proposed system could be a potential alternative to overcome the inconsistencies and difficulties of the current methods.en_US
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) TOVAG116O758 Erciyes University Scientific and Technological Research Center/Turkey FDA-2017-7588en_US
dc.language.isoengen_US
dc.publisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDSen_US
dc.relation.isversionof10.1016/j.mimet.2020.106045en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLogistic regression (LR)en_US
dc.subjectMachine learningen_US
dc.subjectOne-step identificationen_US
dc.subjectLactobacillien_US
dc.subjectHigh resolution melting (HRM)en_US
dc.subjectMulti-fragment melting analysis system (MFMAS)en_US
dc.titleMulti fragment melting analysis system (MFMAS) for one-step identification of lactobacillien_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volumeVolume: 177en_US
dc.relation.journalJOURNAL OF MICROBIOLOGICAL METHODSen_US
dc.relation.tubitakTOVAG116O758
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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