Highlights Removal efficiency of 89.31 % (Pb) and 96.33 % (Ni) by sugarcane bagasse. Optimum pH 6.0; temperature, 30 °C; contact time, 90 min. and adsorbent dose of 0.5 g. Fitted by Freundlich and pseudo-second-order models. Adsorption capacity of 1.61 mg/g (Pb) and 123.46 mg/g (Ni). Desorption efficiency of 85.2 % by nitric acid.

The aim of this study was the isolation and molecular characterization of fungi from untreated refinery effluent by using multiple conserved genes. The Fungi isolated were characterized based on PCR amplification and genomic sequencing of the internal transcribed spacer region (ITS), partial β-tubulin (BenA), calmodulin (CaM), and RNA polymerase second large subunit (RPB2) genes, along with morphological characterization. The obtained sequences were subjected to BLAST analysis and the corresponding fungal isolates were assigned species names after comparison with representative sequences available in GenBank. Fifteen (15) Fungi species belonging to four genera of Aspergillus, Penicillium, Fusarium, and Trichoderma with Aspergillus as the predominant genus were identified. Therefore these genes should be used as molecular markers for species level identification of fungi (especially Aspergillus and Penicillium as proven in this study.

The aim of this study was isolation and molecular characterization of fungi from untreated industrial effluent by multigene phylogenetic analyses. The Fungi isolated were characterized based on PCR amplification and genomic sequencing of the internal transcribed spacer region (ITS), partial β-tubulin (Ben A), calmodulin (CaM), and DNA-directed RNA polymerase second large subunit (RPB2) genes, along with morphological characterization and species diversity. Fungal DNA extraction kits and primers sets for the selected genes were purchased and used following the manufacturer’s instructions. The obtained sequences were subjected to BLAST analysis and the corresponding fungal isolates were assigned species names after comparison with representative sequences available in GenBank. All the sequences from this study were deposited in GenBank and the accession number assigned. Phylogenetic trees of the fungal isolates were drawn for each gene by the Maximum Likelihood method using MEGA 7.0 software. Fifteen (15) Fungi species belonging to four genera of Aspergillus, Penicillium, Fusarium and Trichoderma with Aspergillus as the predominant genus were identified.