Improved species level bacterial characterization from rhizosphere soil of wilt infected Punica granatum.

Pomegranate crops are prone to wilt complex disease, which is known to severely hamper the crop yield. There have been limited studies that have explored bacteria-plant-host associations in wilt complex disease affecting pomegranate crops. In the present study, wilt infected rhizosphere soil samples (ISI, ASI) in pomegranate were studied in comparison to a healthy control (HSC). The 16S metagenomics sequencing approach using the MinION platform was employed for screening of bacterial communities and predictive functional pathways. Altered physicochemical properties in the soil samples were recorded showing a comparatively acidic pH in the ISI (6.35) and ASI (6.63) soil samples to the HSC soil (7.66), along with higher electrical conductivity in the ISI (139.5 µS/cm), ASI soil (180 µS/cm), HSC soil sample (123.33 µS/cm). While concentration of micronutrients such as Cl and B were significantly higher in the ISI and ASI soil as compared to the HSC, Cu and Zn were significantly higher in the ASI soil. The effectiveness and accuracy of 16S metagenomics studies in identifying beneficial and pathogenic bacterial communities in multi-pathogen-host systems depend on the completeness and consistency of the available 16S rRNA sequence repositories. Enhancing these repositories could significantly improve the exploratory potential of such studies. Thus, multiple 16S rRNA data repositories (RDP, GTDB, EzBioCloud, SILVA, and GreenGenes) were benchmarked, and the findings indicated that SILVA yields the most reliable matches. Consequently, SILVA was chosen for further analysis at the species level. Relative abundance estimates of bacterial species showed variations of growth promoting bacteria, namely, Staphylococcus epidermidis, Bacillus subtilis, Bacillus megatarium, Pseudomonas aeruginosa, Pseudomonas putida, Pseudomonas stutzeri and Micrococcus luteus. Functional profiling predictions employing PICRUSt2 revealed a number of enriched pathways such as transporter protein families involved in signalling and cellular processes, iron complex transport system substrate binding protein, peptidoglycan biosynthesis II (staphylococci) and TCA cycle VII (acetate-producers). In line with past reports, results suggest that an acidic pH along with the bioavailability of micronutrients such as Fe and Mn could be facilitating the prevalence and virulence of Fusarium oxysporum, a known causative pathogen, against the host and beneficial bacterial communities. This study identifies bacterial communities taking into account the physicochemical and other abiotic soil parameters in wilt-affected pomegranate crops. The insights obtained could be instrumental in developing effective management strategies to enhance crop yield and mitigate the impact of wilt complex disease on pomegranate crops.

Identification of membrane associated drug targets in Borrelia burgdorferi ZS7- subtractive genomics approach.

Lyme disease is an infectious disease caused by a spirochete Borrelia burgdorferi ZS7. This spirochete is most often spread by ticks. Single antibiotic therapy is sufficient for containment of the early stage progression of the disease but combinational therapy is more preferred in later stages. Research is in progress for the development of drugs against the pathogen, but till date no vaccines have been developed to effect the late stage infections. There is a rapid rise in the cases of antibiotic-resistant population which is more than 10% of the total infected individuals. In such condition vaccine becomes the sole alternative for prevention. Therefore effective treatment includes antibiotic combination and combination of antigenic surfaces (for vaccine preparation). Thus, a comprehensive list of drug targets unique to the microorganisms is often necessary. Availability of Borrelia burgdorferi ZS7 proteome has enabled insilico analysis of protein sequences for the identification of drug targets and vaccine targets. In this study, 272 essential proteins were identified out of which 42 proteins were unique to the microorganism. The study identified 15 membrane localized drug targets. Amongst these 15, molecular modeling and structure validation of the five membrane localized drug target proteins could only be achieved because of the low sequence identity of the remaining proteins with RCSB structures. These 3D structures can be further characterized by invitro and invivo studies for the development of novel vaccine epitopes and novel antibiotic therapy against Borrelia burgdorferi.

Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer.

Traditionally, drugs are discovered by testing compounds synthesized in time consuming multi-step processes against a battery of invivo biological screens. Promising compounds are then further studied in development, where their pharmacokinetic properties, metabolism and potential toxicity were investigated. Here, we present a study on herbal lead compounds and their potential binding affinity to the effectors molecules of major disease like Prostate Cancer. Clinical studies demonstrate a positive correlation between the extent of 5-α reductase type 2 (isoform 2) and malignant progression of precancerous lesions in prostate. Therefore, identification of effective, well-tolerated 5-α reductase inhibitors represents a rational chemo preventive strategy. This study has investigated the effects of naturally occurring nonprotein compounds berberine and monocaffeyltartaric acid that inhibits 5-α reductase type 2. Our results reveal that these compounds use less energy to bind to 5-α reductase and inhibit its activity. Their high ligand binding affinity to 5-α reductase introduces the prospect for their use in chemopreventive applications. In addition, they are freely available natural compounds that can be safely used to prevent prostate cancer.