Publication:
Functional Profiling of Bacterial Communities in Lake Tuz Using 16S rRNA Gene Sequences

dc.authorscopusid57217120832
dc.authorscopusid57219859702
dc.authorscopusid57188622711
dc.authorscopusid57218907183
dc.authorscopusid36011657500
dc.authorscopusid55279669000
dc.authorscopusid55279669000
dc.authorwosidHuyop, Fahrul/H-4287-2018
dc.authorwosidMohamad, Mohd Afifuddin/Abb-9324-2020
dc.authorwosidOyewusi, Habeebat/Aaz-1939-2020
dc.authorwosidWahab, Roswanira/Abf-7351-2020
dc.authorwosidKaya, Yilmaz/Q-9474-2019
dc.contributor.authorOyewusi, Habeebat Adekilekun
dc.contributor.authorAbdul Wahab, Roswanira
dc.contributor.authorEdbeib, Mohamed Faraj
dc.contributor.authorMohamad, Mohd Azrul Naim
dc.contributor.authorAbdul Hamid, Azzmer Azzar
dc.contributor.authorKaya, Yilmaz
dc.contributor.authorHuyop, Fahrul
dc.contributor.authorIDAbdul Wahab, Roswanira/0000-0002-9982-6587
dc.contributor.authorIDHuyop, Fahrul/0000-0003-3978-4087
dc.contributor.authorIDEdbeib, Mohamed/0000-0003-3655-055X
dc.contributor.authorIDAbdul Hamid, Azzmer Azzar/0000-0003-2404-6890
dc.contributor.authorIDKaya, Yilmaz/0000-0003-1506-7913
dc.contributor.authorIDNaim, Mohd Azrul/0000-0003-0361-6284
dc.date.accessioned2025-12-11T01:38:36Z
dc.date.issued2021
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Oyewusi, Habeebat Adekilekun; Huyop, Fahrul] Univ Teknol Malaysia, Dept Biosci, Fac Sci, Utm Johor Bahru 81310, Johor, Malaysia; [Oyewusi, Habeebat Adekilekun] Fed Polytech Ado Ekiti, Sch Sci & Comp Studies, Dept Biochem, Ado Ekiti, Ekiti State, Nigeria; [Abdul Wahab, Roswanira] Univ Teknol Malaysia, Dept Chem, Fac Sci, Utm Johor Bahru, Johor, Malaysia; [Edbeib, Mohamed Faraj] Baniwalid Univ, Dept Med Labs, Fac Med Technol, Baniwalid, Libya; [Mohamad, Mohd Azrul Naim; Abdul Hamid, Azzmer Azzar] Int Islamic Univ Malaysia IIUM, Kulliyyah Sci, Dept Biotechnol, Kuantan Pahang, Malaysia; [Kaya, Yilmaz; Huyop, Fahrul] Ondokuz Mayis Univ, Dept Agr Biotechnol, Agr Fac, Samsun, Turkeyen_US
dc.descriptionAbdul Wahab, Roswanira/0000-0002-9982-6587; Huyop, Fahrul/0000-0003-3978-4087; Edbeib, Mohamed/0000-0003-3655-055X; Abdul Hamid, Azzmer Azzar/0000-0003-2404-6890; Kaya, Yilmaz/0000-0003-1506-7913; Naim, Mohd Azrul/0000-0003-0361-6284en_US
dc.description.abstractThe 16S rRNA amplicon sequencing technique is a key aspect of studies of microbial communities but does not provide direct evidence of a community's functional capabilities. This work aimed to assess the structure of the uncultured bacterial communities from two locations in Lake Tuz in Turkey to provide information on their roles in the lake ecosystem. The most abundant phyla in the lake water were Firmicutes (84%) for lake sample site 1 (TG1), 70% for lake sample site 2 (TG2), Fusobacteria (9% for TG1, 22% for TG2) and Proteobacteria (6% for TG1, 7% for TG2). The most abundant genera were Romboutsia (45% for TG1, 35% for TG2), Clostridium sensu stricto 1 (8% for TG1, 8% for TG2), Cetobacterium (9% for TG1, 22% for TG2) and Photobacterium (2% for TG1, 3% for TG2). PICRUSt constitutes a novel bioinformatics tool to establish profiles for bacterial protein functions based on metagenomic 16S rRNA data for a community of unculturable bacteria. PICRUSt also provides information on whole-community metabolic functions related to adaptation, bioremediation potential and the ability of various groups of microorganisms to survive in highly saline water. The overall results provide an effective strategy for assessing the metabolic capacities of microbes in situ in a high-salt aquatic environment such as Lake Tuz and the potential of these microbes to serve as bioremediation agents. This approach provides useful insights into predictive metagenomics of an unculturable microbial community for which only marker-gene surveys are currently available.en_US
dc.description.sponsorshipMinistry of Higher Education Malaysia [R.J130000.7854.5F189]; University Teknologi Malaysia [RUG-UTM-HR-Q.J130000.2414.08G59, RUG-Q.J130000.2545.18H47]; Scientific Technological Research Council of Turkey (TUBITAK) Program 2221-Fellowship [1059B11800242]; Ondokuz Mayis University [PYO.ZRT.1904.17.059]; Ministry of Education through Tertiary Education Trust Fund (TETFund); Federal Polytechnic Ado Ekiti, Nigeriaen_US
dc.description.sponsorshipWe are grateful to the Fundamental Research Grant Scheme (FRGS) [grant nos. R.J130000.7854.5F189, (Ministry of Higher Education Malaysia), RUG-UTM-HR-Q.J130000.2414.08G59, (University Teknologi Malaysia) and RUG-Q.J130000.2545.18H47 (University Teknologi Malaysia)] for partial financial assistance for research materials. FH and MFE thank the Scientific Technological Research Council of Turkey (TUBITAK) Program 2221-Fellowship for visiting Scientists and Scientists on Sabbatical Leave [grant no. 1059B11800242] and Ondokuz Mayis University for joint financial support of the project through BAP No. PYO.ZRT.1904.17.059. HAO also thanks the Ministry of Education through Tertiary Education Trust Fund (TETFund) and Federal Polytechnic Ado Ekiti, Nigeria, for a studentship award.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1080/13102818.2020.1840437
dc.identifier.endpage10en_US
dc.identifier.issn1310-2818
dc.identifier.issn1314-3530
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85094837639
dc.identifier.scopusqualityQ3
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1080/13102818.2020.1840437
dc.identifier.urihttps://hdl.handle.net/20.500.12712/45108
dc.identifier.volume35en_US
dc.identifier.wosWOS:000583356100001
dc.identifier.wosqualityQ4
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofBiotechnology & Biotechnological Equipmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject16S rRNAen_US
dc.subjectLake Tuzen_US
dc.subjectMetagenomicsen_US
dc.subjectMicrobial Communitiesen_US
dc.subjectPredictive Functional Toolsen_US
dc.subjectPollutants Degradationen_US
dc.titleFunctional Profiling of Bacterial Communities in Lake Tuz Using 16S rRNA Gene Sequencesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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