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Jha, P.

Publications and source records attributed to Jha, P..

3 recordsLinked to original sources

Structural Differences In 3C-like protease (Mpro) From SARS-CoV and SARS-CoV-2: Molecular Insights For Drug Repurposing Against COVID-19 Revealed by Molecular Dynamics Simulations.

A recent fatal outbreak of novel coronavirus SARS-CoV-2, identified preliminary as a causative agent for series of unusual pneumonia cases in Wuhan city, China has infected more than 20 million individuals with more than 4 million mortalities. Since, the infection crossed geographical barriers, the WHO permanently named the causing disease as COVID-2019 by declaring it a pandemic situation. SARS-CoV-2 is an enveloped single-stranded RNA virus causing a wide range of pathological conditions from common cold symptoms to pneumonia and fatal severe respiratory syndrome. Genome sequencing of SARS-CoV-2 has revealed 96% identity to the bat coronavirus and 79.6% sequence identity to the previous SARS-CoV. The main protease (known as 3C-like proteinase/ Mpro) plays a vital role during the infection with the processing of replicase polyprotein thus offering an attractive target for therapeutic interventions. SARS-CoV and SARS-CoV-2 Mpro shares 97% sequence identity, with 12 variable residues but none of them present in the catalytic and substrate binding site. With the high level of sequence and structural similarity and absence of any drug/vaccine against SARS-CoV-2, drug repurposing against Mpro is an effective strategy to combat COVID-19. Here, we report a detailed comparison of SARS-CoV-2 Mpro with SARS-CoV Mpro using molecular dynamics simulations to assess the impact of 12 divergent residues on the molecular microenvironment of Mpro. A structural comparison and analysis is made on how these variable residues affects the intra-molecular interactions between key residues in the monomer and biologically active dimer form of Mpro. The present MD simulations study concluded the change in microenvironment of active-site residues at the entrance (T25, T26, M49 and Q189), near the catalytic region (F140, H163, H164, M165 and H172) and other residues in substrate binding site (V35T, N65S, K88R and N180K) due to 12 mutation incorporated in the SARS-CoV-2 Mpro. It is also evident that SARS-CoV-2 dimer is more stable and less flexible state compared to monomer which may be due to these variable residues, mainly F140, E166 and H172 which are involved in dimerization. This also warrants a need for inhibitor design considering the more stable dimer form. The mutation accumulated in SARS-CoV-2 Mpro indirectly reconfigures the key molecular networks around the active site conferring a potential change in SARS-CoV-2, thus posing a challenge in drug repurposing SARS drugs for COVID-19. The new networks and changes in microenvironment identified by our work might guide attempts needed for repurposing and identification of new Mpro inhibitors.

bioinformatics↗

Modified split application of nitrogen with biochar improved grain yield and nitrogen use efficiency in rainfed maize grown in Vertisols of India

Conventionally, non-judicious and blanket fertilizer nitrogen (N) used in rainfed maize lead to higher N losses, low N use efficiency (NUEs) and poor yields due to substandard agronomic management practices. To avoid such N losses, fertilizer additions are synchronized with plant uptake requirements. In this context, agronomic based management focused on optimizing N rates and biochar application is essential for improved NUEs and crop productivity. Keeping this in view, a field experiment was conducted during 2014, 2015 and 2016 in rainfed maize (Zea mays L.) grown in Vertisols of India. In this study, twelve treatments that comprised of N omission plot (N0), skipping of basal rate, multi-split topdressing at varying time as broadcast and band placement, soil test crop response (STCR) based NPK with target yield 6.0 t ha-1 in maize and biochar application (10 t ha-1) were investigated. The experiment was conducted following a Randomized Complete Block Design (RCBD) set up with three replications. Pooled analysis of three years data revealed that the application of N rates (120 kg Nha-1) in 2 equal splits (60 kg Nha-1) at knee high (V8) and tasseling (VT) stages with skipped basal N rate, achieved higher maize grain yield (5.29 t ha-1) ascribed to the greater growth parameters, yield components and N uptake compared to the recommended practices. Biochar application (10 t ha-1) as soil amendments along with multi top dressed N (120 kg N ha-1) into 3 splits also increased the grain yield. Delayed N application at V8 and VT growth stages, resulted in higher N uptake, agronomy efficiency (AE), partial factor productivity (PFP), physiology efficiency (PE) and recovery efficiency (RE). Biochar along with N fertilizer also improved the soil organic carbon (5.47g kg-1), ammonium-N (2.40 mg kg-1) and nitrate-N (0.52 mg kg-1) concentration in soil (P<0.05) as compared to non-biochar treatments. Application of biochar along with chemical fertilizer (120 kg Nha-1) significantly increased the concentration of ammonium (2.40 mg kg-1) and nitrate (0.52 mg kg-1) in soil (P<0.05) as compared to non-biochar treatments. The perfect positive linear relationship illustrated that the grain yield of rainfed maize was highly dependent (R2=0.99 at p<0.0001) on N availability, as indicated by the fitted regression line of maize grain yield on N uptake. On the other hand, factor analysis revealed, the one to one positive function relationship of biomass with N uptake at V8 and VT growth stages. Principal Component Regression (PCR) analysis showed that PC1 acted as a major predictor variable for total dry matter yield (TDMY) and dominated by LAI and N uptake. Consequently, these results expressed that the agronomic management based multi-top dressed N application and biochar application to achieve higher yield and greater NUEs in rainfed maize is strongly linked with N application into splits.

plant biology↗

Modulation of longevity by diet, and youthful body weight, but not by weight gain after maturity

Diet and environment profoundly modulate lifespan. We measured longevity as a function of diet and weight gain across a genetically diverse family of mice. We followed 1348 females from two parental strains--C57BL/6J and DBA/2J--and 146 cohorts of BXD isogenic progeny strains (n = 73) across their lifespan on a low fat chow diet (CD, 18% calories from fat) and on a high fat diet (HFD, 60% calories from fat). On average, HFD shortens lifespan by 85 days or 12%, roughly equivalent to an 8-10 year decrease in humans. However, strain variation in the response of diet on longevity is remarkably high, ranging from a longevity loss of 54% in BXD65 to a gain of 37% in BXD8. Baseline weights and early weight gain are both associated with a mean decrease in longevity of [~]4 days/g. By 500 days-of-age, cases fed HFD gained four times as much weight as control on average. However, strain-specific variation was substantial, thus weight gain did not correlate well with lifespan. In summary, high fat had a strong negative effect on longevity, but genetic interactions effects were even stronger. This highlights the unequivocal importance of genetic differences in making dietary recommendations.

genetics↗