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dc.contributor.authorÖzbayram, Emine Gözde
dc.contributor.authorİnce, Bahar
dc.contributor.authorMiraloğlu, İbrahim Halil
dc.date.accessioned2021-12-10T11:39:35Z
dc.date.available2021-12-10T11:39:35Z
dc.date.issued2021
dc.identifier.citationÖzbayram E. G. , Miraloğlu İ. H. , İnce B., "Assessment of microbial community diversity in lakes of İğneada floodplain forest by metabarcoding approach", Aquatic Research, cilt.4, sa.4, ss.4-312, 2021
dc.identifier.othervv_1032021
dc.identifier.otherav_8c4277ab-bab2-4a37-80c7-7c83a30580dd
dc.identifier.urihttp://hdl.handle.net/20.500.12627/172351
dc.identifier.urihttp://aquatres.scientificwebjournals.com/tr/pub/issue/62356/888205
dc.description.abstractThis paper aims to contribute to the understanding of bacterial community patterns of the lakes of İğneada Floodplain Forest by metabarcoding approach. Within this scope, surface water samples were collected from three lakes located in the area namely Mert Lake, Hamam Lake, and Saka Lake, and the bacterial diversity was assessed by a high throughput sequencing of the 16S rRNA gene. Chao1 richness and Shannon diversity were higher in Saka Lake indicated a more diverse bacterial community. Proteobacteria was by far the most abundant phyla in all lakes. Although Bacteroidetes and Actinobacteria also dominated the community, their abundances differed in each lake. While the family Burkholderiaceae represented 25% of the bacterial community in Saka Lake, the abundances were 9% and 4% in Hamam Lake and Mert Lake, respectively. This study is one of the first investigations specifically focused on the bacterial communities in three lakes of İğneada Floodplain by next-generation sequencing platform and gave a prescreening of the bacterial diversity. Further studies are required to determine the biotechnological potential of this unique habitat.
dc.language.isotur
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik ve Teknoloji
dc.titleAssessment of microbial community diversity in lakes of İğneada floodplain forest by metabarcoding approach
dc.typeMakale
dc.relation.journalAquatic Research
dc.contributor.departmentİstanbul Üniversitesi , Su Bilimleri Fakültesi , Deniz ve İçsu Kaynakları Yönetimi Bölümü
dc.identifier.volume4
dc.identifier.issue4
dc.identifier.startpage4
dc.identifier.endpage312
dc.contributor.firstauthorID2635082


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