Various branches of any living species are destined to specified identification. Henceforth, imposing of bioinformatics, including various supportive software along with wet lab experiments, has led to conclude genus and species of unidentified strains. Further, for the construction of phylogenetic trees, the principle of minimum evolution has been considered. Since few years, rapid sequencing of DNA has been adapted, and data on nucleotide sequences of genome in diverse organisms have accumulated at an accelerated pace. In the present study, molecular identification of the fungus, Beauveria bassiana, isolated from the soil of a tea cultivation area was endeavoured. Soil from Bogidhola tea garden of Golaghat District, Assam, India, has captured an attention as it holds some natural pesticidal properties. Since B. bassiana possesses substantial pesticidal property, an attempt was carried out to identify the presence of B. bassiana in that particular soil of tea garden, followed by its molecular identification. Sequencing of D2 subunit spanning 28S rDNA of isolated fungi had been completed for molecular identification imposing bioinformatic tools and among 15 isolates compared where a correction of 100% identification was observed with isolate of B. bassiana strain CCFC225554.

This study compared the effectiveness of the Sequencing Batch Biofilter Granular Reactor (SBBGR) plant with and without the integration of ozone (BIO-CHEM process) in the remediation of medium-aged landfill leachate. Special attention is given to the removal of per- and polyfluoroalkyl substances (PFAS) as a group of bioaccumulative and persistent pollutants. The findings highlight the high SBBGR performance under biological process only for key wastewater contaminants, with 82% for chemical oxygen demand (COD), 86% for total nitrogen, and 98% for ammonia. Moderate removal was observed for total (TSS) and volatile (VSS) suspended solids (41% and 44%, respectively), while phosphorus and colour removal remained limited. Remarkably, the SBBGR process achieved complete removal of long-chain PFAS, while its performance declined for shorter-chain PFAS. BIO-CHEM process significantly improved COD (87.7%), TSS (84.6%), VSS (86.7%), and colour (92–96%) removal. Conversely, ozonation led to an unexpected increase in the concentrations of several PFAS in the effluent, suggesting ozone-induced desorption from the biomass. SBBGR treatment was characterised by a low specific sludge production (SSP) value, i.e., 5–6 times less than that of conventional biological processes. SSP was further reduced during the application of the BIO-CHEM process. A key finding of this study is a critical challenge for PFAS removal in this combined treatment approach, different from other ozone-based methods.

Keeping a pace with Quorum sensing, analyzing communication shows the close co-evolution of fungi with organisms present in their environment giving insights into multispecies communication. Subsequently, many examples of cell density dependent regulation by extracellular factors have been found in diverse microorganisms. The widespread incidence of diverse quorum-sensing systems strongly suggests that regulation in accordance with cell density is important for the success of microbes in many environments. The paper includes the basic autoregulatory quorum sensing molecules that has been perceived. Although fungal quorum sensing research is still in its infancy, its discovery has changed our views about the fungal kingdom and could eventually lead to the development of new antifungal therapeutics.

Heavy metals in aquatic environments pose significant environmental and human health risks, highlighting the urgent need for innovative remediation strategies. This study explores the role of bacterial extracellular polymeric substances as active binding surfaces for copper, in planktonic cells and biofilm-based adsorption systems. Serratia plymuthica strain As3-5a(5) achieved 92% Cu(II) biosorption (from an initial concentration of 3.14 mM) within 4 min in a non-proliferating planktonic cell system, and 98% biosorption in a biofilm-based system on sintered glass. Maximum metal biosorption was achieved by late stationary phase grown cells (72 h), likely due to an increased protein fraction in the tightly bound extracellular polymeric substances. When in the presence of real electroplating wastewater containing 40 mM Cu(II) at pH 1.9, planktonic cell system (10 ¹¹ cells mL ⁻¹ ) achieved 97% Cu(II) biosorption. These results highlight the strong potential of Serratia plymuthica strain As3-5a(5) for developing efficient biological systems for heavy metal removal from industrial wastewater. Furthermore, this work provides valuable insights into sustainable biotechnological approaches for copper remediation, with potential applications in catalytic processes and metal recovery within a circular economy framework. Future studies should involve synthetic biology approach to improve copper sequestration and to investigate the scalability of these systems to higher technology readiness levels under real industrial wastewater conditions.

The classical usage of myco-biocontrol agents for agricultural pests globally has involved the group entomopathogenic fungi with enhanced habitat manipulation. The classified entomopathogenic fungi, Beauveria bassiana is one of the significant host with effective control on population of insect-pests. It is considered, the cuticle signifies the key point of fence contact between the fungus and the insect. Knowledge of molecular mechanisms analysed using computational methods, may define interactions that eventually can direct either to successful mycosis by the pathogen or defense by the hosts. Apart conventional experimental method, we have approached with an in-silico pipeline to define the facts of surface contact of Beauveria bassiana with its two promising hosts, Nilaparvata lugens and Sodoptera exigua. The protein sequences were retrieved and subjected to modeller followed by validated structural integrity and simulation. Later, all simulated protein structures were docked to extensively study the contact of host-pathogen that includes surface protein-protein interactions.

Quorum sensing is cell to cell communication process through chemical signals formally known as autoinducers. When the concentration of quorum sensing molecules reached threshold concentration bacteria are in active state or quorum state. In this article, we propose a mathematical model of quorum sensing systems and study this biological system numerically. Moreover, we compare the different numerical scheme with the batch culture of P.aeruginosa . We observed a negative diffusion coefficient which plays an important role in the quorum sensing mechanism.