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Article Citation - WoS: 3Citation - Scopus: 4Identification of Bacterial Diversity of Bee Collected Pollen and Bee Bread Microbiota by Metagenomic Analysis(Aves, 2022) Arserim Ucar, Dilhun Keriman; Yurt, Mediha Nur Zafer; Tasbasi, Behiye Busra; Acar, Elif Esma; Yegin, Zeynep; Ozalp, Veli Cengiz; Sudagidan, Mert; Uçar, Dilhun Keriman Arserim; Ozalp, Cengiz; Arserim-uçar, Dılhun KerimanThis study investigated the bacterial diversities of bee-collected pollen and bee bread of Apis mellifera in Turkey. The bacterial community structure of 14 bee pollen from Bingol, Konya, and Hakkari and 11 bee bread samples from Bingol were studied using 16 S rRNA amplicon sequencing and metagenomic analysis. The dominant bacterial phylum in pollen and bee bread samples was Firmicutes, followed by Proteobacteria. In pollen and bee bread samples, Bacillaceae, Clostridiaceae, Enterococcaceae, and Enterobacteriaceae were identified as dominant bacterial families. At the genus level, Bacillus, Clostridium sensu stricto, and Enterococcus were dominant bacteria in both pollen and bee bread samples. The most abundant species was Clostridium perfringens in both pollen and bee bread samples. Escherichia vulneris, Enterococcus faecalis, Bacillus cereus, Enterococcus casseliflavus, and Cronobacter malonaticus were identified with high reads in pollen samples. In bee bread samples, E. faecalis, Clostridium bifermentans, and Pantoea calida were abundant bacterial species. Alpha diversity showed that pol-3 sample had the highest diversity. Beta-diversity plots separated the pollen samples into four main groups and bee bread samples into three main groups. Our results indicated that the culture-independent metagenomic analysis will be a valuable tool for determining the microbial diversity of bee products produced in Bingol-Turkey one of the important centers of apiculture.Article Citation - WoS: 4Citation - Scopus: 516s Bacterial Metagenomic Analysis of Herby Cheese (otlu Peynir) Microbiota(Istanbul Univ-cerrahpasa, 2021) Sudağıdan, Mert; Yurt, Mediha Nur Zafer; Taşbaşı, Behiye Büşra; Acar, Elif Esma; Ömeroğlu, Esra Ersoy; Uçak, Samet; Aydın, Ali; Ozalp, Cengiz; Ersoy Omeroglu, Esra; Mediha Nur, Zafer YURTCheese microbiota may contain various bacterial species due to the use of different types of milk, rennet, and herbs. In this study, the distribution of the dominant bacteria present in the microbiota of herby cheese samples (n = 13) were examined by the next generation sequencing (NGS) technique. DNA was extracted both directly from cheese samples and after pre-enrichment. The metagenomic analysis of the NGS results revealed that Firmicutes were dominant both in DNA directly extracted from herby cheese (KOP), and pre-enriched samples (OP), at the phylum level. At the genus level, Lactobacillus, Lactococcus, and Streptococcus were dominant in the KOP samples, whereas in the OP samples, Enterococcus, Streptococcus, and Bacillus were determined as the dominant bacterial genera. Although Lactococcus raffinolactis and Streptococcus salivarius were dominant in the KOP samples, Enterococcus faecalis and S. salivarius were dominant in the OP samples. The Shannon species diversity index and principal coordinates analysis (PCoA) were used to determine the distribution in KOP and OP samples at the genus level. The PCoA of KOP-10, KOP-11, KOP-2, and KOP-7, KOP-3, and KOP-6 samples showed the wide distribution, whereas KOP-5, KOP-8, KOP-9, and KOP-14 herby cheese samples were closely related. The OP samples, especially OP-7 and OP-14, showed wide distribution in comparison to other OP samples. Finally, the dominant bacterial communities were identified by DNAbased metagenomic analysis, and this is the first report to elucidate the microbiota of herby cheese produced in Turkey using the NGS technique.Article Citation - WoS: 20Citation - Scopus: 22Quartz Crystal Microbalance-Based Aptasensor Integrated With Magnetic Pre-Concentration System for Detection of listeria Monocytogenes in Food Samples(Springer Wien, 2024) Beyazit, Fatma; Arica, Mehmet Yakup; Acikgoz-Erkaya, Ilkay; Ozalp, Veli Cengiz; Bayramoglu, Gulay; Ozalp, CengizA fast and accurate identification of Listeria monocytogenes. A new quartz crystal microbalance (QCM) aptasensor was designed for the specific and rapid detection of L. monocytogenes. Before detection of the target bacterium from samples in the QCM aptasensor, a magnetic pre-enrichment system was used to eliminate any contaminant in the samples. The prepared magnetic system was characterized using ATR-FTIR, SEM, VSM, BET, and analytical methods. The saturation magnetization values of the Fe3O4, Fe3O4@PDA, and Fe3O4@PDA@DAPEG particles were 57.2, 40.8, and 36.4 emu/g, respectively. The same aptamer was also immobilized on the QCM crystal integrated into QCM flow cell and utilized to quantitatively detect L. monocytogenes cells from the samples. It was found that a specific aptamer-magnetic pre-concentration system efficiently captured L. monocytogenes cells in a short time (approximately 10 min). The Fe3O4@PDA@DA-PEG-Apt particles provided selective isolation of L. monocytogenes from the bacteria-spiked media up to 91.8%. The immobilized aptamer content of the magnetic particles was 5834 mu g/g using 500 ng Apt/mL. The QCM aptasensor showed a very high range of analytical performance to the target bacterium from 1.0 x 10(2) and 1.0 x 10(7) CFU/mL. The limit of detection (LOD) and limit of quantitation (LOQ) were 148 and 448 CFU/mL, respectively, from the feeding of the QCM aptasensor flow cell with the eluent of the magnetic pre-concentration system. The reproducibility of the aptasensor was more than 95%. The aptasensor was very specific to L. monocytogenes compared to the other Listeria species (i.e., L. ivanovii, L. innocua, and L. seeligeri) or other tested bacteria such as Staphylococcus aureus, Escherichia coli, and Bacillus subtilis. The QCM aptasensor was regenerated with NaOH solution, and the system was reused many times.
