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Inhabitants of extreme and polluted environments are attractive as candidates for environmental bioremediation. Bacteria growing in oil refinery effluents, tannery dumpsite soils, car wash effluents, salt pans and hot springs were screened for microcystin-LR biodegradation potentials. Using a colorimetric BIOLOG MT2 assay; Arthrobacter sp. B105, Arthrobacter junii, Plantibacter sp. PDD-56b-14, Acinetobacter sp. DUT-2, Salinivibrio sp. YH4, Bacillus sp., Bacillus thuringiensis and Lysinibacillus boronitolerans could grow in the presence of microcystin-LR at 1, 10 and 100 µg L−1. Most bacteria grew optimally at 10 µg L−1 microcystin-LR under alkaline pH (8 and 9). The ability of these bacteria to use MC-LR as a growth substrate depicts their ability to metabolize the toxin, which is equivalent to its degradation. Through PCR screening, these bacteria were shown to lack the mlr genes implying possible use of a unique microcystin-LR degradation pathway. The study highlights the wide environmental and taxonomic distribution of microcystin-LR degraders.

Oil refinery effluents are among stressful environments, and they are characterized by alkaline pH, high concentrations of dissolved solids, electrical conductivity, and metals (mainly Fe, Al, B, Sr, Mn, Cu, Ni). In this study, bacterial diversity in these habitats was inferred from full-length 16S rRNA gene sequences obtained from the PacBio® sequencing platform. The results have shown low bacterial diversity in both raw and treated effluents, with sequences representing only two phyla: Firmicutes and Proteobacteria. Sequences from the raw effluents represent four major genera: Bacillus, Wenzhouxiangella, Rhodabaculum, and Halomonas. Whilst bacterial communities from the treated effluents are relatively more diverse as sequences represent five dominant genera: Pseudoxanthomonas, Brevundimonas, Pseudomonas, Rhodobaculum and Rhizobium. Most of the genera represented in the dataset are halophilic or halotolerant microbes known to have the competency to catabolize a broad spectrum of organic and inorganic pollutants. Hypothetically, these bacteria may be relevant for biotechnological and industrial applications, particularly for the remediation of saline industrial wastes.

Oil refinery effluents are among stressful environments, and they are characterized by alkaline pH, high concentrations of dissolved solids, electrical conductivity, and metals (mainly Fe, Al, B, Sr, Mn, Cu, Ni). In this study, bacterial diversity in these habitats was inferred from full-length 16S rRNA gene sequences obtained from the PacBio