Literature DB >> 27812801

Assessment of bacterial community composition in response to uranium levels in sediment samples of sacred Cauvery River.

Jayaraman Suriya1, Mootapally Chandra Shekar2,3, Neelam Mustakali Nathani4,5, Thangaiyan Suganya6, Subramanian Bharathiraja2, Muthukalingan Krishnan7.   

Abstract

Global industrialization is a major cause of effluent discharge from industries up to alarming concentrations. Especially, uranium concentrations in water bodies are of great concern, as its radioactivity significantly affects the persistent diversity of microbiota. Recently, continuous application of pesticides in the agricultural lands and accumulation of quartz that enter the Cauvery River has significantly increased the concentration of uranium (U) and other heavy metals. To perceive the impact of uranium on bacterial diversity in Cauvery River, sediment samples collected from polluted (UP) site with 32.4 Bq/K of U concentration and control (UNP) site were scrutinized for bacterial diversity through metagenomic analysis of the V3 region of 16S rDNA by Illumina sequencing. Taxonomic assignment revealed that the unpolluted sample was dominated by Bacteroidetes (27.7 %), and Firmicutes (25.9 %), while sediment sample from the highly polluted site revealed abundance of Proteobacteria (47.5 %) followed by Bacteroidetes (22.4 %) and Firmicutes (14.6 %). Among Proteobacteria, Gammaproteobacteria was the most prevalent group followed by alpha, delta, epsilon, and beta in the uranium-polluted sample. Rare and abundant species analysis revealed that species like Idiomarina loihiensis was abundant in the pollutant sample; however, it was rare (<0.1 %) in the sample from pristine environment. Similarly, the species distribution in both the samples varied, with the bacteria potentially active in redox activity and biosorption potential dominating in the polluted sample. Outcomes of the present study demonstrated the impact of uranium and metal accumulation on the bacterial communities and further confirmed the promising candidature of specific bacterial species as bioindicators of contamination.

Entities:  

Keywords:  Amplicon sequencing; Bacterial diversity; Illumina; River sediment; Uranium accumulation

Mesh:

Substances:

Year:  2016        PMID: 27812801     DOI: 10.1007/s00253-016-7945-2

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  5 in total

1.  Discovery and characterization of UipA, a uranium- and iron-binding PepSY protein involved in uranium tolerance by soil bacteria.

Authors:  Nicolas Gallois; Béatrice Alpha-Bazin; Nicolas Bremond; Philippe Ortet; Mohamed Barakat; Laurie Piette; Abbas Mohamad Ali; David Lemaire; Pierre Legrand; Nicolas Theodorakopoulos; Magali Floriani; Laureline Février; Christophe Den Auwer; Pascal Arnoux; Catherine Berthomieu; Jean Armengaud; Virginie Chapon
Journal:  ISME J       Date:  2021-09-23       Impact factor: 10.302

2.  Assessment of Bacterial Community Composition of Anaerobic Granular Sludge in Response to Short-Term Uranium Exposure.

Authors:  Taotao Zeng; Shiqi Zhang; Xiang Gao; Guohua Wang; Piet N L Lens; Shuibo Xie
Journal:  Microb Ecol       Date:  2018-02-07       Impact factor: 4.552

3.  Bacterial Community Shifts Driven by Nitrogen Pollution in River Sediments of a Highly Urbanized City.

Authors:  Xianbiao Lin; Dengzhou Gao; Kaijun Lu; Xiaofei Li
Journal:  Int J Environ Res Public Health       Date:  2019-10-09       Impact factor: 3.390

4.  Optimization of Environmental Conditions for Microbial Stabilization of Uranium Tailings, and the Microbial Community Response.

Authors:  Ying Lv; Chuiyun Tang; Xingyu Liu; Mingjiang Zhang; Bowei Chen; Xuewu Hu; Susu Chen; Xuezhe Zhu
Journal:  Front Microbiol       Date:  2021-12-13       Impact factor: 5.640

5.  Antibiotic Resistome Biomarkers associated to the Pelagic Sediments of the Gulfs of Kathiawar Peninsula and Arabian Sea.

Authors:  Chandrashekar Mootapally; Neelam M Nathani; Paresh Poriya; Imtiyaz Beleem; Jignesh C Dabhi; Indra R Gadhvi; Chaitanya G Joshi
Journal:  Sci Rep       Date:  2019-11-21       Impact factor: 4.379

  5 in total

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