Pushpa V Yogendra K. Mahadevan K. M. Mahesh M.


The aim of the present study was to isolate and identify azo dye degrading microbes using 16s r RNA sequencing. For this, ten effluent and fifty soil samples were collected from textile industry from a discharge panel of textile industries near Peenya and Magadi road Industrial area, Bengaluru, and dying industries near Kerur, Bagalkot, Karnataka, India. The pH, temperature, BOD, COD, Odor, Total dissolved solid (TDS), Total suspended solids (TSS), Chemical oxygen demand (COD), Biological oxygen demand (BOD), Dissolved Oxygen (DO), and Total Hardness values were very high when compared with the values given by the Bureau of Indian Standards. Pure cultures were screened on the basis of colony morphology. Three different types of unique cultures were selected and named as isolates S1, S2 and S3. Outof 6 dyes viz. Corafast blue, Corafast red, Red 3BN, Solophenyl Brown, RemazoleRG , Rubin M2B used, isolate S1 showed degradation on the maximum number of dyes Red 3BN, Corafast blue, Corafast red, in comparison to other isolates (isolates S2 and S3). Thus, isolate S1 was used for the further studies. For this study Red 3BN dye was chosen. The isolated bacterium was gram positive Bacilli. In the biochemical characterization, the isolate was partially confirmed as Bacillus sp.
Further, the selected isolate was identified by sequencing the 16S rRNA sequencing. The bacterial isolate was identified as Bacillus species exhibiting 99% similarity, the phylogenic relationship of 16S ribosomal RNA gene, partial sequence of the isolated strain and species related to Bacillus species in the gene bank database. Thus, this organism may be used significantly in effluent treatment such as textile, paper, ink and other industries.


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Azo dye, Bacillus species, Degradation, Effluent, Fermentation, Pure culture

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V, P., K., Y., K. M., M., & M., M. (2019). Isolation and identification of azo dye degrading microbes using 16s r RNA sequencing. Journal of Applied and Natural Science, 11(2), 245-249. https://doi.org/10.31018/jans.v11i2.2025
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