TR-Dizin

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14411/21

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Browsing TR-Dizin by Journal "Acta Veterinaria Eurasia"

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    Article
    Citation - WoS: 3
    Citation - Scopus: 4
    16s 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; 01. Atılım University
    Cheese 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.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 3
    Identification 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; Basic Sciences; 08. Medical School; 01. Atılım University
    This 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.