Abstract

ISOLATION, IDENTIFICATION AND RESISTANT CHARACTERIZATION OF DYE-ADAPTED BACTERIA FROM TIRUPUR TEXTILE EFFLUENT

R. Damodaran, T. Jayaseelan, S. Ganesan and P. Mani*

ABSTRACT

The textile Industries in Tirupur releases million litres of untreated effluents into the Noyyal River. The discharge of coloured compound into water bodies affect photosynthesis of aquatic plants and these dyes are carcinogenic in nature which is dangerous to human being. This study confirms that Noyyal River Textile effluents are a major source of aquatic pollution in Tirupur with high amount of chemical oxygen demand (COD), biological oxygen demand (BOD) and low amount of DO. These Textile effluents provide an environment for growth of various kinds of microorganisms with capability to adapt and degrade the dyes along with multiple resistant activities. Hence in the present study, the bacterial strains were isolated from textile effluent of Tirupur Noyyal River and it predominately contains Pseudomonas sp. For species identification, Pseudomonas like organisms creates lot of problems when identified with the help of morphological and biochemical characters. So, sequencing of 16S rRNA region is a suitable technique for species identification. Therefore Nucleotide sequences of Pseudomonas isolates were confirmed by 16S rRNA sequencing with universal bacterial primers (16S-UP-F, UP-R) and the sequences showed 100% similarity with the already established species P.aeruginosa which was deposited in GENBANK. The deposited 16S r DNA sequence of P.aeruginosa was given the accession number KU041528. The phylogenetic tree was constructed based on 16S r DNA sequence of P.aeruginosa. Multiple resistant activities of P. aeruginosa was detected through protease and Phospholipase test and it gives strong positive result. From this study, the isolate was confirmed as multiple resistant P.aeruginosa which causes dangerous diseases to human beings, aquatic organisms, capable to adapt and degrade textile dyes.

Keywords: Textile Dying Effluent, Bacterial counts, 16S rRNA Sequencing, Phylogenetic analysis.