Journal: Journal of Pharmacy Research

Article Id: JPRS-BGSA-00002087
Title: Bioinformatics approach in speciation of oil degrading uncultured bacterium and its frequency recording
Category: Bioinformatics (Genome & Sequence Analysis )
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    Aim: As per NCBI database search, number of oil degrading uncultured bacterial species reported to be targeted for their 16S rRNA region worldwide, but no systematic approach was made till date to relate all these isolates with sequence-based homology for a particular genus and species to which probably they belongs to as the data is so discrete. Materials and Methods: The present study put forward the frequency-based classification of the several oil-degrading bacteria into particular genus and species as per 16S rRNA homology and phylogenetic analysis by involving, BLASTN, CLUSTALW, and MAGA6 software in together and finally reported the major species dominated by the set of uncultured bacteria related with oil degradation studied. Result: In a result when 1123 uncultured bacteria related with oil degradation were sequence homolog for 16S rRNA with public database; isolates were majorly been identified as 320 bacterial species which were further grouped into 15 clades as per phylogenetic analysis. Conclusion: Adopted methodology certainly been useful to classify the set of oil- degrading uncultured bacteria with their close homolog as they grouped only into 320 species out of which few shares majorly percentage as recorded.

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    Author(s) Name:

    Maithili Hedaoo1 , Dilip Gore2 *, Shreya Fadnavis1 , Mayur Dange1 , M. A. Soni 1 , A. P. Kopulwar1

    Affiliation(s) Name:

    1 Department of Biotechnology, Priyadarshini Institute of Engineering and Technology, Mouza Shivangaon, Behind CRPF Campus, Hingna Road, Nagpur – 440 019, Maharashtra, India,

    2 Sai Biosystems Private Limited, Plot No. 271 Raghuji Nagar, Nagpur - 440 009, Maharashtra, India

    *Corresponding author: Dilip Gore, Sai Biosystems Private Limited, Plot No. 271 Raghuji Nagar, Nagpur - 440 009, Maharashtra, India.

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    Author:

    Maithili Hedaoo1 , Dilip Gore2 *, Shreya Fadnavis1 , Mayur Dange1 , M. A. Soni 1 , A. P. Kopulwar1

    Title:Bioinformatics approach in speciation of oil degrading uncultured bacterium and its frequency recording
    Journal:Journal of Pharmacy Research
    Vol(issue):12(4)
    Year:2018
    Page No: (628-635)
  • Experimental Methods Keywords

    Methodology:Bioinformatics, Homology,
    Research Materials:Oil degradation

Keywords

Bioinformatics Homology Oil degradation Phylogenetics Uncultured bacteria

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