Literature DB >> 29868311

Characterization, phylogenetic distribution and evolutionary trajectories of diverse hydrocarbon degrading microorganisms isolated from refinery sludge.

Debdeep Dasgupta1,2, Jublee Jasmine1, Suparna Mukherji1.   

Abstract

Phylogenic association between bacteria living under harsh conditions can provide important information on adaptive mechanism, survival strategy and their potential application. Indigenous microorganisms isolated from toxic refinery oily sludge with ability to degrade a diverse range of hydrocarbons were identified and characterized. The strains including Pseudomonas aeruginosa RS1, Microbacterium sp. RS2, Bacillus sp. RS3, Acinetobacter baumannii RS4 and Stenotrophomonas sp. RS5 could utilize n-alkanes, cycloalkanes, polynuclear aromatic hydrocarbons (PAHs) with 2-4 rings and also substituted PAHs as sole substrate. The phylogenetic position of Bacillus sp. RS3 and Pseudomonas sp. RS1 was tested by applying the maximum likelihood (ML) method to the aligned 16S rRNA nucleotide sequences of PAH and aliphatic hydrocarbon degrading strains belonging to the corresponding genus. The base substitution matrix created with each set of organisms capable of degrading aromatic and aliphatic hydrocarbons showed significant transitional event with high values of transition: transversion ratio (R) under all conditions. The guanine-cytosine (GC) content of the hydrocarbon degrading test strains was also found to be highest for the clade which harbored them. The test strains consistently occupied a distinct terminal end within the phylogenetic tree constructed by ML analysis. This study reveals that the refinery sludge imposed environmental stress on the bacterial strains which possibly caused significant genetic alteration and phenotypic adaptation. Due to the divergent evolution of the Pseudomonas and Bacillus strains in the sludge, they appeared distinctly different from other hydrocarbon degrading strains of the same genus.

Entities:  

Keywords:  Aliphatic and aromatic hydrocarbons; Bacteria, phylogeny; MEGA-6; Maximum likelihood method; Refinery oily sludge

Year:  2018        PMID: 29868311      PMCID: PMC5971019          DOI: 10.1007/s13205-018-1297-9

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


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