Journal
ARCHIVES OF MICROBIOLOGY
Volume 204, Issue 4, Pages -Publisher
SPRINGER
DOI: 10.1007/s00203-022-02831-y
Keywords
Metagenomics analysis; Microbial community; Biological treatment; Environmental protection; Pollutants
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This study aims to identify microbial communities in pulp and paper industry sludge and analyze their metagenomics profiling. The results show that the dominant phyla in the sludge include Anaerolinea, Pseudomonas, Clostridia, Bacteroidia, Gammaproteobacteria, Spirochetia, Deltaproteobacteria, Spirochaetaceae, Prolixibacteraceae, and some unknown microbial strains. Metagenomics is a useful tool for evaluating microbiota composition and function using gene sequencing. This research highlights the potential of using naturally adapted microorganisms for sludge treatment in the open environment.
The purpose of this study is to identify microbial communities in pulp and paper industry sludge and their metagenomic profiling on the basis of; phylum, class, order, family, genus and species level. Results revealed that the dominant phyla in 16S rRNA Illumina Miseq analysis inside sludge were Anaerolinea, Pseudomonas, Clostridia, Bacteriodia, Gammaproteobacteria, Spirochetia, Deltaproteobacteria, Spirochaetaceae, Prolixibacteraceae and some unknown microbial strains are also dominant. Metagenomics is a molecular biology-based technology that uses bioinformatics to evaluate huge gene sequences extracted from environmental samples to assess the composition and function of microbiota. The results of metabarcoding of the V3-V4 16S rRNA regions acquired from paired-end Illumina MiSeq sequencing were used to analyze bacterial communities and structure. The present work demonstrates the potential approach to sludge treatment in the open environment via the naturally adapted microorganism, which could be an essential addition to the disposal site. In summary, these investigations indicate that the indigenous microbial community is an acceptable bioresource for remediation or detoxification following secondary treatment. This research aims at understanding the structure of microbial communities and their diversity (%) in highly contaminated sludge to perform in situ bioremediation.
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