Abstract
Background: Microbial nitrilases play a vital role in the biodegradation of nitrilecontaining pollutants, effluent treatments in chemical and textile industries, and the biosynthesis of Indole-3-acetic acid (IAA) from tryptophan in plants. However, the lack of structural information limits the correlation between its activity and substrate specificity.
Methods: The present study involves the genome mining of bacteria for the distribution and diversity of nitrilases, their phylogenetic analysis and structural characterization for motifs/ domains, followed by interaction with substrates.
Results: Here, we mined the bacterial genomes for nitrilases and correlated their functions to hypothetical, uncharacterized, or putative ones. The comparative genomics revealed four AcNit, As7Nit, Cn5Nit and Cn9Nit predicted nitrilases encoding genes as uncharacterized subgroups of the nitrilase superfamily. The annotation of these nitrilases encoding genes revealed relatedness with nitrilase hydratases and cyanoalanine hydratases. At the proteomics level, the motif analysis of these protein sequences predicted a single motif of 20-28 aa, with glutamate (E), lysine (K) and cysteine (C) residues as a part of catalytic triad along with several other residues at the active site. The structural analysis of the nitrilases revealed geometrical and close conformation in the form of α-helices and β-sheets arranged in a sandwich structure. The catalytic residues constituted the substrate binding pocket and exhibited the broad nitrile substrate spectra for aromatic and aliphatic nitriles-containing compounds. The aromatic amino acid residues Y159 in the active site were predicted to be responsible for substrate specificity. The substitution of non-aromatic alanine residue in place of Y159 completely disrupted the catalytic activity for indole-3-acetonitrile (IAN).
Conclusion: The present study reports genome mining and simulation of structure-function relationship for uncharacterized bacterial nitrilases and their role in the biodegradation of pollutants and xenobiotics, which could be of applications in different industrial sectors.
Keywords: Nitrile compounds, Biodegradation, Simulation, Substrate specificity, Catalytic, superfamily
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