Literature DB >> 33454444

Metagenomic analysis for profiling of microbial communities and tolerance in metal-polluted pulp and paper industry wastewater.

Pooja Sharma1, Sonam Tripathi1, Ram Chandra2.   

Abstract

This work aimed to study the profiling and efficiency of microbial communities and their abundance in the pulp and paper industry wastewater, which contained toxic metals, high biological oxygen demands, chemical oxygen demand, and ions contents. Sequence alignment of the 16S rRNA V3-V4 variable region zone with the Illumina MiSeq framework revealed 25356 operating taxonomical units (OTUs) derived from the wastewater sample. The major phyla identified in wastewater were Proteobacteria, Bacteroidetes, Firmicutes, Chloroflexi, Actinobacteria, Spirochetes, Patesibacteria, Acidobacteria, and others including unknown microbes. The study showed the function of microbial communities essential for the oxidation and detoxifying of complex contaminants and design of effective remediation techniques for the re-use of polluted wastewater. Findings demonstrated that the ability of different classes of microbes to adapt and survive in metal-polluted wastewater irrespective of their relative distribution, as well as further attention can be provided to its use in the bioremediation process.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biological wastewater treatment; Illumina MiSeq sequencing; Microbial community; Operational taxonomic unit; Wastewater treatment

Mesh:

Substances:

Year:  2021        PMID: 33454444     DOI: 10.1016/j.biortech.2021.124681

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Identification and profiling of microbial community from industrial sludge.

Authors:  Pooja Sharma; Surendra Pratap Singh
Journal:  Arch Microbiol       Date:  2022-04-01       Impact factor: 2.552

Review 2.  Health hazards of hexavalent chromium (Cr (VI)) and its microbial reduction.

Authors:  Pooja Sharma; Surendra Pratap Singh; Sheetal Kishor Parakh; Yen Wah Tong
Journal:  Bioengineered       Date:  2022-03       Impact factor: 3.269

  2 in total

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