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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, MertThis 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 Identification of Bacterial Vaginal Microbiota Via Metagenomic Approach(Galenos Publ House, 2022) Ucak, Samet; Sudagidan, Mert; Yurt, Mediha Nur Zafer; Tasbasi, Behiye Busra; Acar, Elif Esma; Tuna, Bilge Guvenc; Ozalp, Veli CengizAim: The aim of the current study was to identify vaginal bacterial microbiota of 38 Turkish women using the high -throughput next -generation sequencing and metagenomic approach at different taxonomic levels from the kingdom to the species level. Materials and Methods: Vaginal swab samples (n=38) were collected in the DNA/RNA shield collection tubes at Yeditepe University Hospital, Department of Obstetrics and Gynecology in June 2021 and DNA extraction was performed by ZymoBIOMICS DNA miniprep kit. The information related to age, marital status, preliminary diagnosis and anamnesis status of patients were collected. To determine the vaginal microbiota, a metagenomic approach was applied using 16S rRNA amplicon sequencing. Results: The dominant phylum Firmicutes was followed by Proteobacteria, Actinobacteria, Tenericutes, Fusobacteria, and Synergistetes in the vaginal samples. Lactobacillus was the most abundant genus followed by Prevotella, Enterobacter, Gardnerella, and Dialister. Lactobacillus iners was dominant at the species level in vaginal swab samples, followed by Gardnerella vaginalis, Enterobacter tabaci, Prevotella timonensis, Prevotella bivia, and Lactobacillus jensenii. Canonical correspondence analysis (CCA) showed that Proteobacteria and Fusobacteria were mainly related to married/single variable with the highest percentages, whereas Actinobacteria and Tenericutes were related to age variable at the phylum level. Campylobacter , Atopobium , Enterobacter , and Lactococcus were mainly found in married/single variable with the highest percentages, whereas Anaerococcus, Streptococcus, Sutterella , and Veillonella were related to age. Moreover, CCA showed that Campylobacter ureolyticus, Lb. jensenii , and Atopobium vaginae were associated with married/single variable, whereas Lactobacillus johnsonii and G. vaginalis were found in age variable with the highest percentages at the species level. Conclusion: Vaginal diseases are still a major public health concern. The vaginal microbiota, which has been studied in more depth in recent years, has been discovered to be more complicated than previously imagined thanks to technological developments. More patient investigations are needed to confirm and develop these findings.Article Horse Meat Microbiota: Determination of Biofilm Formation and Antibiotic Resistance of Isolated Staphylococcus Spp.(Mary Ann Liebert Inc., 2024) Aydin,A.; Sudagidan,M.; Abdramanov,A.; Yurt,M.N.Z.; Mamatova,Z.; Ozalp,V.C.Domestic horses could be bred for leisure activities and meat production, as is already the case in many countries. Horse meat is consumed in various countries, including Kazakhstan and Kyrgyzstan, and with the increase in this consumption, horses are registered as livestock by the Food and Agricultural Organization. In this study, horse meat microbiota of horse samples (n = 56; 32 samples from Kazakhstan and 24 samples from Kyrgyzstan) from two countries, Kazakhstan (n = 3) and Kyrgyzstan (n = 1), were investigated for the first time by next-generation sequencing and metabarcoding analysis. The results demonstrated that Firmicutes, Proteobacteria, and Actinobacteria were the dominant bacterial phyla in all samples. In addition, three (5.4%) Staphylococcus strains were isolated from the Uzynagash region, Kazakhstan. Staphylococcus strains were identified as Staphylococcus warneri, S. epidermidis, and S. pasteuri by partial 16S rRNA DNA gene Sanger sequencing. All three Staphylococcus isolates were nonbiofilm formers; only the S. pasteuri was detected as multidrug-resistant (resistant to penicillin, cefoxitin, and oxacillin). In addition, S. pasteuri was found to carry mecA, mecC, and tetK genes. This is the first study to detect potentially pathogenic Staphylococcus spp. in horse meat samples originating from Kazakhstan. In conclusion, it should be carefully considered that undercooked horse meat may pose a risk to consumers in terms of pathogens such as antibiotic-resistant Staphylococcus isolates. © Mary Ann Liebert, Inc.
