Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences

The 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 pr...

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Main Authors: Oyewusi, Habeebat Adekilekun, Abdul Wahab, Roswanira, Edbeib, Mohamed Faraj, Mohamad, Mohd. Azrul Naim, Abdul Hamid, Azzmer Azzar, Kaya, Yilmaz, Huyop, Fahrul
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Published: Taylor and Francis Ltd. 2021
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Online Access:http://eprints.utm.my/id/eprint/95988/
http://dx.doi.org/10.1080/13102818.2020.1840437
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spelling my.utm.959882022-07-01T07:44:27Z http://eprints.utm.my/id/eprint/95988/ Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences Oyewusi, Habeebat Adekilekun Abdul Wahab, Roswanira Edbeib, Mohamed Faraj Mohamad, Mohd. Azrul Naim Abdul Hamid, Azzmer Azzar Kaya, Yilmaz Huyop, Fahrul QD Chemistry The 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. Taylor and Francis Ltd. 2021 Article PeerReviewed Oyewusi, Habeebat Adekilekun and Abdul Wahab, Roswanira and Edbeib, Mohamed Faraj and Mohamad, Mohd. Azrul Naim and Abdul Hamid, Azzmer Azzar and Kaya, Yilmaz and Huyop, Fahrul (2021) Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences. Biotechnology and Biotechnological Equipment, 35 (1). pp. 1-10. ISSN 1310-2818 http://dx.doi.org/10.1080/13102818.2020.1840437
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QD Chemistry
spellingShingle QD Chemistry
Oyewusi, Habeebat Adekilekun
Abdul Wahab, Roswanira
Edbeib, Mohamed Faraj
Mohamad, Mohd. Azrul Naim
Abdul Hamid, Azzmer Azzar
Kaya, Yilmaz
Huyop, Fahrul
Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences
description The 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.
format Article
author Oyewusi, Habeebat Adekilekun
Abdul Wahab, Roswanira
Edbeib, Mohamed Faraj
Mohamad, Mohd. Azrul Naim
Abdul Hamid, Azzmer Azzar
Kaya, Yilmaz
Huyop, Fahrul
author_facet Oyewusi, Habeebat Adekilekun
Abdul Wahab, Roswanira
Edbeib, Mohamed Faraj
Mohamad, Mohd. Azrul Naim
Abdul Hamid, Azzmer Azzar
Kaya, Yilmaz
Huyop, Fahrul
author_sort Oyewusi, Habeebat Adekilekun
title Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences
title_short Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences
title_full Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences
title_fullStr Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences
title_full_unstemmed Functional profiling of bacterial communities in Lake Tuz using 16S rRNA gene sequences
title_sort functional profiling of bacterial communities in lake tuz using 16s rrna gene sequences
publisher Taylor and Francis Ltd.
publishDate 2021
url http://eprints.utm.my/id/eprint/95988/
http://dx.doi.org/10.1080/13102818.2020.1840437
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score 13.211869