Identification and characterization of alkaline protease producing Bacillus firmus species EMBS023 by 16S rRNA gene sequencing

Most Promising Compounds for Treating COVID-19 and Recent Trends in Antimicrobial & Antifungal Agents

Multidrug resistance in microbes poses a major health crisis and demands for the discovery of novel antimicrobial agents. The recent pandemic of SARS-CoV-2 has raised a public health emergency in almost all the countries of the world. Unlike viruses, a bacterium plays a significant role in various environmental issues such as bioremediation. Furthermore, biosurfactants produced by various bacterial species have an edge over traditionally produced chemical surfactants for its biodegradability, low toxicity and better interfacial activity with various applications in agriculture and industry. This special issue focuses on the global perspective of drug discovery for various antimicrobial, antiviral, and antifungal agents for infectious diseases. The issue also emphasizes the ongoing developments and the role of microbes in environmental remediation. We wish the articles published in this issue will enhance the current understanding in microbiology among the readers, and serve as the "seed of an idea" for drug development for ongoing COVID-19 pandemic.

Computer-Aided Structure Prediction of Bluetongue Virus Coat Protein VP2 Assisted by Optimized Potential for Liquid Simulations (OPLS)

Background:

The capsid coated protein of Bluetongue virus (BTV) VP2 is responsible for BTV transmission by the Culicoides vector to vertebrate hosts. Besides, VP2 is responsible for BTV entry into permissive cells and hence plays a major role in disease progression. However, its mechanism of action is still unknown.

Objective:

The present investigation aimed to predict the 3D structure of Viral Protein 2 of the bluetongue virus assisted by Optimized Potential for Liquid Simulations (OPLS), structure validation, and an active site prediction.

Methods:

The 3D structure of the VP2 protein was built using a Python-based Computational algorithm. The templates were identified using Smith waterman’s Local alignment. The VP2 protein structure validated using PROCHECK. Molecular Dynamics Simulation (MDS) studies were performed using an academic software Desmond, Schrodinger dynamics, for determining the stability of a model protein. The Ligand-Binding site was predicted by structure comparison using homology search and proteinprotein network analysis to reveal their stability and inhibition mechanism, followed by the active site identification.

Results:

The secondary structure of the VP2 reveals that the protein contains 220 alpha helix atoms, 40 310 helix, 151 beta sheets, 134 coils and 424 turns, whereas the 3D structure of Viral Protein 2 of BTV has been found to have 15774 total atoms in the structure. However, 961 amino acids were found in the final model. The dynamical cross-correlation matrix (DCCM) analysis tool identifies putative protein domains and also confirms the stability of the predicted model and their dynamical behavior difference with the correlative fluctuations in motion.

Conclusion:

The biological interpretation of the Viral Protein 2 was carried out. DCCM maps were calculated, using a different coordinate reference frame, through which, protein domain boundaries and protein domain residue constituents were identified. The obtained model shows good reliability. Moreover, we anticipated that this research should play a promising role in the identification of novel candidates with the target protein to inhibit their functional significance.

Identification and Characterization of Lipopeptide Biosurfactant Producing Microbacterium sp Isolated from Brackish River Water

BACKGROUND

Bioremediation has taken its call for removing pollutants for years. The oilcontaminated surroundings are majorly hazardous for sustaining life, but a great contribution to nature in the form of microorganisms. The complex carbon-hydrogen chain has served as classic raw material to chemical industries, which has perked up the hydrocarbon waste. Microbial remediation has been thus, focused to deal with the lacuna, where the new addition to this category is Microbacterium species.

OBJECTIVES

The identification and characterization of lipopeptide biosurfactant producing Microbacterium spp. isolated from brackish river water.

METHODS

The strain was isolated from an oil-contaminated lake. The strain was tested with all the other isolated species for oil degradation using screening protocols such as haemolysis, oil spread assay, BATH, E24, etc. The produced biosurfactant was extracted by acid precipitation, followed by solvent recovery. The strain with maximum potential was sequenced and was subjected to phylogeny assessment using in silico tools.

RESULTS

Novel Microbacterium species produce the extracellular biosurfactant. The surface tension of Microbacterium was found to be 32mN/m, indicates its powerful surface tension-reducing property. The strain was optimized for the production of biosurfactant and the best results were obtained with sucrose (2%) and yeast extract (3%) medium at 7 pH and 40°C temperature.

CONCLUSION

The isolate was confirmed to be a novel Microbacterium species that could produce 0.461 gm biosurfactant in 100 ml of the medium throughout a life cycle and novel strain of isolate was deposited to NCBI as Microbacterium spp. ANSKSLAB01 using an accession number: KU179507.

Identification and characterization of cresol degrading Pseudomonas monteilii strain SHY from Soil samples

Cresol is an organic pollutant discharged by pharmaceutical, pesticide, coal and gasification industries causing severe organ failure in humans. Therefore, it is of interest to isolate microbes from contaminated site for degrading cresol. We isolated a strain (CR-13) that survives at 5000ppm cresol with about 80 percent cresol degradation ability. Immobilized cells showed >99 percent degradation at high concentration of cresol. The 16S rRNA sequence (accession number: MF278026) deposited in GenBank was used for phylogenetic tree analysis and the strain was grouped under Pseudomonas monteilii. The isolated cresol degrading strain was subsequently named as Pseudomonas monteilii SHY.

Screening, isolation and characterization of biosurfactant producing Bacillus subtilis strain ANSKLAB03

Biosurfactants are surface-active compounds produced by a wide range of microorganisms. They have both hydrophobic and hydrophilic domains and can decrease the surface tension and the interfacial tension of growth medium. Biosurfactants have different chemical structures like-lipopeptides, glycolipids, neutral lipids and fatty acids. They are biodegradable non-toxic biomolecules that show strong emulsification of hydrophobic compounds. They have the ability to form stable emulsions. The low water-solubility of these compounds restricts their availability to microorganisms. Surfactants secreted by microbes enhance the bioavailability of such hydrophobic compounds for bioremediation. Therefore, biosurfactant-enhanced solubility of pollutants has prospective applications in bioremediation. Biosurfactants are useful in a variety of industrial processes, and are also of vital importance to the microbes in adhesion, emulsification, and bioavailability, desorption and defense strategy. Therefore, it is of interest to identify biosurfuctantproducing strain of bacteria from brackish water. The microbial samples were isolated from the Chilika Lake, odisha, India and were tested for its biosurfactant property by various biochemical methods. 16S rRNA was sequenced using Sanger dideoxy sequencing method to characterize the biosurfuctant producing strain. The new Bacillus subtilis strain ANSKLAB03 isolated from 40 samples was deposited in GenBank with accession number KU523257.

A report on extensive lateral genetic reciprocation between arsenic resistant Bacillus subtilis and Bacillus pumilus strains analyzed using RAPD-PCR

The study involves isolation of arsenic resistant bacteria from soil samples. The characterization of bacteria isolates was based on 16S rRNA gene sequences. The phylogenetic consanguinity among isolates was studied employing rpoB and gltX gene sequence. RAPD-PCR technique was used to analyze genetic similarity between arsenic resistant isolates. In accordance with the results Bacillus subtilis and Bacillus pumilus strains may exhibit extensive horizontal gene transfer. Arsenic resistant potency in Bacillus sonorensis and high arsenite tolerance in Bacillus pumilus strains was identified. The RAPD-PCR primer OPO-02 amplified a 0.5kb DNA band specific to B. pumilus 3ZZZ strain and 0.75kb DNA band specific to B. subtilis 3PP. These unique DNA bands may have potential use as SCAR (Sequenced Characterized Amplified Region) molecular markers for identification of arsenic resistant B. pumilus and B. subtilis strains.