Engineering Nitrogen-Doped Carbon Quantum Dots: Tailoring Optical and Chemical Properties through Selection of Nitrogen Precursors.

The process of N-doping is frequently employed to enhance the properties of carbon quantum dots. However, the precise requirements for nitrogen precursors in producing high-quality N-doped carbon quantum dots (NCQDs) remain undefined. This research systematically examines the influence of various nitrogen dopants on the morphology, optical features, and band structure of NCQDs. The dots are synthesized using an efficient, eco- friendly, and rapid continuous hydrothermal flow technique. This method offers unparalleled control over synthesis and doping, while also eliminating convention-related issues. Citric acid is used as the carbon source, and urea, trizma base, beta-alanine, L-arginine, and EDTA are used as nitrogen sources. Notably, urea and trizma produced NCQDs with excitation-independent fluorescence, high quantum yields (up to 40%), and uniform dots with narrow particle size distributions. Density functional theory (DFT) and time-dependent DFT modelling established that defects and substituents within the graphitic structure have a more significant impact on the NCQDs' electronic structure than nitrogen-containing functional groups. Importantly, for the first time, this work demonstrates that the conventional approach of modelling single-layer structures is insufficient, but two layers suffice for replicating experimental data. This study, therefore, provides essential guidance on the selection of nitrogen precursors for NCQD customization for diverse applications.

Long-Life Lead-Carbon Batteries for Stationary Energy Storage Applications.

Owing to the mature technology, natural abundance of raw materials, high recycling efficiency, cost-effectiveness, and high safety of lead-acid batteries (LABs) have received much more attention from large to medium energy storage systems for many years. Lead carbon batteries (LCBs) offer exceptional performance at the high-rate partial state of charge (HRPSoC) and higher charge acceptance than LAB, making them promising for hybrid electric vehicles and stationary energy storage applications. Despite that, adding carbon to the negative active electrode considerably enhances the electrochemical performance. However, carbon brings some adverse effects, such as the severe hydrogen evolution reaction (HER) in the NAM due to the low overpotential of carbon material, promoting severe water loss in LCBs. From a practical application point of view, the irreversible sulfation of the negative active material (NAM) and extreme shedding and softening of the positive active material (PAM) are the main obstacles for next-generation LCBs. Recently, a lead-carbon composite additive delayed the parasitic hydrogen evolution and eliminated the sulfation problem, ensuring a long life of LCBs for practical aspects. This comprehensive review outlines a brief developmental historical background of LAB, its shifting towards LCB, the failure mode of LAB, and possible potential solutions to tackle the failure problems. The detailed LCB's development towards long life was discussed in light of the reported literature to guide the researcher to date progress. More emphasis was directed toward the new applications of LCBs for stationary energy storage applications. Finally, state-of-the-art progress and further research gaps were pointed out for future work in this exciting era.

Telluride-Based Materials: A Promising Route for High Performance Supercapacitors.

As supercapacitor (SC) technology continues to evolve, there is a growing need for electrode materials with high energy/power densities and cycling stability. However, research and development of electrode materials with such characteristics is essential for commercialization the SC. To meet this demand, the development of superior electrode materials has become an increasingly critical step. The electrochemical performance of SCs is greatly influenced by various factors such as the reaction mechanism, crystal structure, and kinetics of electron/ion transfer in the electrodes, which have been challenging to address using previously investigated electrode materials like carbon and metal oxides/sulfides. Recently, tellurium and telluride-based materials have garnered increasing interest in energy storage technology owing to their high electronic conductivity, favorable crystal structure, and excellent volumetric capacity. This review provides a comprehensive understanding of the fundamental properties and energy storage performance of tellurium- and Te-based materials by introducing their physicochemical properties. First, we elaborate on the significance of tellurides. Next, the charge storage mechanism of functional telluride materials and important synthesis strategies are summarized. Then, research advancements in metal and carbon-based telluride materials, as well as the effectiveness of tellurides for SCs, were analyzed by emphasizing their essential properties and extensive advantages. Finally, the remaining challenges and prospects for improving the telluride-based supercapacitive performance are outlined.

An SNP based genotyping assay for genes associated with drought tolerance in bread wheat.

BACKGROUND: SnRK2 plays vital role in responding to adverse abiotic stimuli. The applicability of TaSnRK2.4 and TaSnRK2.9 was investigated to leverage the potential of these genes in indigenous wheat breeding programs. METHODS: Genetic diversity was assessed using pre-existing markers for TaSnRK2.4 and TaSnRK2.9. Furthermore, new markers were also developed to enhance their broader applicability. KASP markers were designed for TaSnRK2.4, while CAPS-based markers were tailored for TaSnRK2.9. RESULTS: Analysis revealed lack of polymorphism in TaSnRK2.4 among Pakistani wheat germplasm under study. To validate this finding, available gel-based markers for TaSnRK2.4 were employed, producing consistent results and offering limited potential for application in marker-assisted wheat breeding with Pakistani wheat material. For TaSnRK2.9-5A, CAPS2.9-5A-1 and CAPS2.9-5A-2 markers were designed to target SNP positions at 308 nt and 1700 nt revealing four distinct haplotypes. Association analysis highlighted the significance of Hap-5A-1 of TaSnRK2.9-5A, which exhibited association with an increased number of productive tillers (NPT), grains per spike (GPS), and reduced plant height (PH) under well-watered (WW) conditions. Moreover, it showed positive influence on NPT under WW conditions, GPS under water-limited (WL) conditions, and PH under both WW and WL conditions. High selection intensity observed for Hap-5A-1 underscores the valuable role it has played in Pakistani wheat breeding programs. Gene expression studies of TaSnRK2.9-5A revealed the involvement of this gene in response to PEG, NaCl, low temperature and ABA treatments. CONCLUSION: These findings propose that TaSnRK2.9 can be effectively employed for improving wheat through marker-assisted selection in wheat breeding efforts.

Multifunction and switchable hybrid metasurface based on graphene and gold.

This paper presents the design and numerical investigation of a graphene-based switchable terahertz (THz) metasurface for ultrawideband absorption and multiband cross polarization conversion. The device's operational mode can be altered to absorption or reflection by using the electrostatic capabilities exhibited by graphene. The numerical calculations yield results indicating that in absorption mode, it maintains a bandwidth ratio of 152% within the frequency range of 1.04-7.74 THz. In polarization conversion mode, the design demonstrates the ability to convert linearly polarized and circularly polarized waves to their respective cross-polarization states within the frequency ranges of 1.8-2.5 THz, 3.5-4.1 THz, and 5.6 THz. Moreover, calculated results indicate that linear-to-circular conversion can be realized at 2.64, 3.45, and 5.4 THz frequencies. In addition, the absorption and polarization conversion ratio parameters were analyzed using the multiple reflection theory, which demonstrated significant agreement with the simulation results. The designed metasurface exhibits significant potential in the field of terahertz devices, including stealth technology, smart switches, and other related applications.

Application of SUMO fusion technology for the enhancement of stability and activity of lysophospholipase from Pyrococcus abyssi.

Heterologous production of proteins in Escherichia coli has raised several challenges including soluble production of target proteins, high levels of expression and purification. Fusion tags can serve as the important tools to overcome these challenges. SUMO (small ubiquitin-related modifier) is one of these tags whose fusion to native protein sequence can enhance its solubility and stability. In current research, a simple, efficient and cost-effective method is being discussed for the construction of pET28a-SUMO vector. In order to improve the stability and activity of lysophospholipase from Pyrococcus abyssi (Pa-LPL), a 6xHis-SUMO tag was fused to N-terminal of Pa-LPL by using pET28a-SUMO vector. Recombinant SUMO-fused enzyme (6 H-S-PaLPL) works optimally at 35 °C and pH 6.5 with remarkable thermostability at 35-95 °C. Thermo-inactivation kinetics of 6 H-S-PaLPL were also studied at 35-95 °C with first order rate constant (kIN) of 5.58 × 10- 2 h-1 and half-life of 12 ± 0 h at 95 °C. Km and Vmax for the hydrolysis of 4-nitrophenyl butyrate were calculated to be 2 ± 0.015 mM and 3882 ± 22.368 U/mg, respectively. 2.4-fold increase in Vmax of Pa-LPL was observed after fusion of 6xHis-SUMO tag to its N-terminal. It is the first report on the utilization of SUMO fusion tag to enhance the overall stability and activity of Pa-LPL. Fusion of 6xHis-SUMO tag not only aided in the purification process but also played a crucial role in increasing the thermostability and activity of the enzyme. SUMO-fused enzyme, thus generated, can serve as an important candidate for degumming of vegetable oils at industrial scale.

Emergency presentations for farm-related injuries in older adults residing in south-western Victoria, Australia.

INTRODUCTION: Farm workers are at high risk for injuries, and epidemiological data are needed to plan resource allocation. OBJECTIVE: This study identified regions with high farm-related injury rates in the Barwon South West region of Victoria, Australia, for residents aged ≥50 yr. DESIGN: Retrospective synthesis using electronic medical records of emergency presentations occurring during 2017-2019 inclusive for Local Government Areas (LGA) in the study region. For each LGA, age-standardised incidence rates (per 1000 population/year) were calculated. FINDINGS: For men and women combined, there were 31 218 emergency presentations for any injury, and 1150 (3.68%) of these were farm-related. The overall age-standardised rate for farm-related injury presentations was 2.6 (95% CI 2.4-2.7); men had a higher rate than women (4.1, 95% CI 3.9-4.4 versus 1.2, 95% CI 1.0-1.3, respectively). For individual LGAs, the highest rates of farm-related emergency presentations occurred in Moyne and Southern Grampians, both rural LGAs. Approximately two-thirds of farm-related injuries occurred during work activities (65.0%), and most individuals arrived at the hospital by transport classified as "other" (including private car, 83.3%). There were also several common injury causes identified: "other animal related injury" (20.2%), "cutting, piercing object" (19.5%), "fall ⟨1 m" (13.1%), and "struck by or collision with object" (12.5%). Few injuries were caused by machinery (1.7%) and these occurred mainly in the LGA of Moyne (65%). DISCUSSION AND CONCLUSION: This study provides data to inform future research and resource allocation for the prevention of farm-related injuries.

Exploration of computational approaches to predict the structural features and recent trends in α-amylase production for industrial applications.

Amylases are biologically active enzymes that can hydrolyze starch to produce dextrin, glucose, maltose, and oligosaccharides. The amylases contribute approximately 30% to the global industrial enzyme market. The globally produced amylases are widely used in textile, biofuel, starch processing, food, bioremediation of environmental pollutants, pulp, and paper, clinical, and fermentation industries. The purpose of this review article is to summarize recent trends and aspects of α-amylases, classification, microbial production sources, biosynthesis and production methods, and its broad-spectrum applications for industrial purposes, which will depict the latest trends in α-amylases production. In the present article, we have comprehensively compared the biodiversity of α-amylases in different model organisms ranging from archaea to eukaryotes using in silico structural analysis tools. The detailed comparative analysis: regarding their structure, function, cofactor, signal peptide, and catalytic domain along with their catalytic residues of α-amylases in 16 model organisms were discussed in this paper. The comparative studies on alpha (α) amylases' secondary and tertiary structures, multiple sequence alignment, transmembrane helices, physiochemical properties, and their phylogenetic analysis in model organisms were briefly studied. This review has documented the recent trends and future perspectives of industrially important novel thermophilic α-amylases. In conclusion, this review sheds light on the current understanding and prospects of α-amylase research, highlighting its importance as a versatile enzyme with numerous applications and emphasizing the need for further exploration and innovation in this field.

Maternal body mass index, birthweight, and placental glucose metabolism: evidence for a role of placental hexokinase.

BACKGROUND: The principal fetal energy source is glucose provided by the placental transfer of maternal glucose. However, the placenta's glucose consumption exhibits considerable variation. Hexokinase is the first and one of the rate-limiting enzymes of glycolysis that phosphorylates glucose to glucose-6-phosphate. The role of placental hexokinase activity in human placental glucose metabolism is unknown. OBJECTIVE: This study aimed to test the hypothesis that placental hexokinase activity is related to maternal body mass index, placental glucose uptake and consumption, and birthweight. STUDY DESIGN: Overall, 67 healthy pregnant participants at term were included in this study at Oslo University Hospital, Oslo, Norway. Placental hexokinase activity was measured by using a colorimetric assay. The mass of glucose taken up by the uteroplacental unit and the fetus was obtained by measuring arteriovenous glucose differences combined with Doppler assessment of uterine and umbilical blood flow. Blood samples were obtained from the maternal radial artery, uterine vein, and umbilical artery and vein. The uteroplacental glucose consumption constituted the difference between uteroplacental and fetal glucose uptakes. The Spearman rank correlation was performed for statistical analyses to study the correlation of placental hexokinase activity (milliunit per milligram of protein) with prepregnancy body mass index, maternal glucose and insulin, birthweight, uteroplacental glucose uptake and consumption, and fetal glucose uptake (micromole per minute). Partial rank correlation analysis was performed when controlling for hours of fasting or placental weight. RESULTS: Hexokinase activity was detectable in all placental tissue samples. The mean activity was 19.6 (standard deviation, 4.64) mU/mg protein. Placental hexokinase activity correlated positively with prepregnancy body mass index (Spearman rho=0.33; P=.006). On controlling for hours of fasting, hexokinase activity showed positive correlations with both maternal glucose (r=0.30; P=.01) and insulin (r=0.28; P=.02). Hexokinase activity was positively correlated with uteroplacental glucose uptake (Spearman rho=0.31; P=.01) and consumption (Spearman rho=0.28; P=.02). Hexokinase activity did not correlate with fetal glucose uptake. On controlling for placental weight, hexokinase activity showed a positive correlation with birthweight (r=0.31; P=.01). CONCLUSION: Our findings suggest that placental hexokinase, being crucial for uteroplacental retention of glucose for disposition, is related to both maternal body mass index and birthweight independent of placental weight. Placental hexokinase may play a central role in the relationship between maternal glucose dysregulation and fetal growth. Thus, the current study supports the need to develop clinically useful tools to assess the metabolic properties of the placenta.

Engineering processive cellulase of Clostridium thermocellum to divulge the role of the carbohydrate-binding module.

The processive cellulase (CelO) is an important modular enzyme of Clostridium thermocellum. To study the effect of the carbohydrate-binding module (CBM3b) on the catalytic domain of CelO (GH5), four engineered derivatives of CelO were designed by truncation and terminal fusion of CBM3b. These are CBM at the N-terminus, native form (CelO-BC, 62 kDa); catalytic domain only (CelO-C, 42 kDa); CBM at the C-terminus (CelO-CB, 54 kDa) and CBM attached at both termini (CelO-BCB, 73 kDa). All constructs were cloned into pET22b (+) and expressed in Escherichia coli BL21 (DE3) star. The expression levels of CelO-C, CelO-CB, CelO-BC, and CelO-BCB were 35%, 35%, 30%, and 20%, respectively. The enzyme activities of CelO-C, CelO-CB, CelO-BC, and CelO-BCB against 1% regenerated amorphous cellulose (RAC) were 860, 758, 985, and 1208 units per µmole of the enzyme, respectively. The enzymes were partially purified from the lysate of E. coli cells by heat treatment followed by anion exchange FPLC purification. Against RAC, CelO-C, CelO-CB, CelO-BC, and CelO-BCB showed KM values of 32, 33, 45, and 43 mg⋅mL-1 and Vmax values of 3571, 3846, 3571, and 4545 U⋅min-1 , respectively. CBM3b at the N-terminus of GH5 linked through a P/T-rich linker was found to enhance the catalytic activity and thermostability of the enzyme.

Abundance, spatial distribution, and characteristics of microplastics in agricultural soils and their relationship with contributing factors.

Agro-ecosystem contamination with microplastics (MPs) is of great concern. However, limited research has been conducted on the agricultural soil of tropical regions. This paper investigated MPs in the agro-ecosystem of Hainan Island, China, as well as their relationships with plastic mulching, farming practices, and social and environmental factors. The concentration of MPs in the study area ranged from 2800 to 82500 particles/kg with a mean concentration of 15461.52 particles/kg. MPs with sizes between 20 and 200 µm had the highest abundance of 57.57%, fragment (58.16%) was the most predominant shape, while black (77.76%) was the most abundant MP colour. Polyethylene (PE) (71.04%) and polypropylene (PP) (19.83%) were the main types of polymers. The mean abundance of MPs was significantly positively correlated (p < 0.01) with all sizes, temperature, and shapes except fibre, while weakly positively correlated with the population (p = 0.21), GDP (p = 0.33), and annual precipitation (p = 0.66). In conclusion, plastic mulching contributed to significant contamination of soil MPs in the study area, while environmental and social factors promoted soil MPs fragmentation. The current study results indicate serious contamination with MPs, which poses a concern regarding ecological and environmental safety.

Global Initiative for Asthma (GINA) guideline: achieving optimal asthma control in children aged 6-11 years.

The Global Initiative for Asthma (GINA) 2021 guidelines for asthma have been set forth with some alterations in Step 3, for children from 6-11-year-old age group. The low dose LABA-ICS, very low dose formoterol-ICS, medium dose ICS and ICS-LTRA combination were recommended in the guideline. We organized this study to draw an effective comparison between these three combinations of controller therapies in pediatric population. A retrospective study was conducted at the Aga Khan University Hospital, Karachi, Pakistan which enrolled 114 children aged 6-11 years old, from July 2021 to December 2022. These children were admitted with asthma exacerbations and were discharged on controller medications as per GINA guidelines on step 3 for control of asthma for 3 months. They were then followed for re-admission within 30 days of discharge, number of ER visits with asthma exacerbations for 1 year, number of admissions with asthma including HDU and PICU admissions, length of stay per admission for all admissions in subsequent one year. The pulmonary function test was done at 1 week follow-up in clinic after discharge and at 3 months visit post discharge. A total of 114 pediatric patients from age 6-11-year-old, were enrolled in the study period out of which 36 (31.57%), 33(28.9%) and 34 (29.82%) patients were categorized into ICS-LABA, ICS and ICS-LTRA groups respectively. ER visits were significantly low in ICS-LABA group followed by ICS-LRTA group and then ICS group (1.75±0.96 vs 2.93±1.412 vs 3.11±1.21, p<0.001). Similar statistically significant results were observed on average number of admissions per year (1.52±1.02 vs 1.96±0.84 vs 2.06±1.07, p=0.047) and number of patients needing PICU (13.88% vs 26.47% vs 39.39%, p=0.034) in these groups respectively. ICS- LABA group patients had the best values of FEV1 and FEV1/FVC ratio after pulmonary function tests at 3 months follow-up followed by ICS-LTRA and ICS group. Amongst the three options regimens for children managed at step 3 on GINA 2021 guidelines, ICS-LABA therapy helps attain optimal patient outcomes and lung functions in children with asthma followed by ICS-LTRA and ICS group respectively.

Clinical outcomes of children with acute asthma managed with intravenous magnesium sulphate outside intensive care setting.

Asthma in children constitutes a well-known respiratory condition with significant mortality. In poorly controlled asthma, multiple adjunct therapies including magnesium sulphate (MgSO4), are recommended to decrease the likelihood of intubation; however, limited evidence exists to support their routine usage in day-to-day situations. Aim of this study is to determine the outcomes of pediatric patients treated with magnesium sulphate during exacerbations of asthma admitted at a tertiary care unit. A retrospective study was conducted at The Aga Khan University Hospital, Karachi, Pakistan from January 2019 to December 2021. Patients aged 6 years to 15 years presented with acute asthma through Emergency Room (ER) having clinical respiratory score (CRS) more than five, admitted in high-dependency unit (HDU) were included in the study. Patients who were started on magnesium sulfate within 24 hours of admission were categorized in magnesium sulfate (MS) group. Patients receiving all standard acute asthma treatment but were not started on magnesium therapy within 24 hours of admission were categorized in the non-magnesium sulfate (non-MS) group. Different outcome variables were compared between the groups. A total of 110 patients with asthma were enrolled. Fifty-four patients were categorized into MS group while 56 were included in non-MS group. Fewer patients were transferred from HDU to pediatric intensive care unit (PICU) (24.07%) in MS group compared to non-MS group (42.85%), (p=0.02). In MS group, the mean number of days spent on oxygen in HDU were 2.38±0.81, while non-MS group spent more days (3.10±0.84 (p<0.01). This study demonstrates that for pediatric patients with severe asthma exacerbations, administration of IV MgSO4 (within 24 hours) is beneficial and results in fewer admissions to PICU and reduces the mean number of days spent on oxygen therapy.

Fabrication and Evaluation of Anticancer Potential of Eugenol Incorporated Chitosan-Silver Nanocomposites: In Vitro, In Vivo, and In Silico Studies.

The expanding global cancer burden necessitates a comprehensive strategy to promote possible therapeutic interventions. Nanomedicine is a cutting-edge approach for treating cancer with minimal adverse effects. In the present study, chitosan-silver nanoparticles (ChAgNPs) containing Eugenol (EGN) were synthesized and evaluated for their anticancer activity against breast cancer cells (MCF-7). The physical, pharmacological, and molecular docking studies were used to characterize these nanoparticles. EGN had been effectively entrapped into hybrid NPs (84 ± 7%). The EGN-ChAgNPs had a diameter of 128 ± 14 nm, a PDI of 0.472 ± 0.118, and a zeta potential of 30.58 ± 6.92 mV. Anticancer activity was measured in vitro using an SRB assay, and the findings revealed that EGN-ChAgNPs demonstrated stronger anticancer activity against MCF-7 cells (IC50 = 14.87 ± 5.34 µg/ml) than pure EGN (30.72 ± 4.91 µg/ml). To support initial cytotoxicity findings, advanced procedures such as cell cycle analysis and genotoxicity were performed. Tumor weight reduction and survival rate were determined using different groups of mice. Both survival rates and tumor weight reduction were higher in the EGN-ChAgNPs (12.5 mg/kg) treated group than in the pure EGN treated group. Based on protein-ligand interactions, it might be proposed that eugenol had a favorable interaction with Aurora Kinase A. It was observed that C9 had the highest HYDE score of any sample, measuring at -6.8 kJ/mol. These results, in conjunction with physical and pharmacological evaluations, implies that EGN-ChAgNPs may be a suitable drug delivery method for treating breast cancer in a safe and efficient way.

Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda.

The COVID19 pandemic has impacted the global economy, social activities, and Electricity Consumption (EC), affecting the performance of historical data-based Electricity Load Forecasting (ELF) algorithms. This study thoroughly analyses the pandemic's impact on these models and develop a hybrid model with better prediction accuracy using COVID19 data. Existing datasets are reviewed, and their limited generalization potential for the COVID19 period is highlighted. A dataset of 96 residential customers, comprising 36 and six months before and after the pandemic, is collected, posing significant challenges for current models. The proposed model employs convolutional layers for feature extraction, gated recurrent nets for temporal feature learning, and a self-attention module for feature selection, leading to better generalization for predicting EC patterns. Our proposed model outperforms existing models, as demonstrated by a detailed ablation study using our dataset. For instance, it achieves an average reduction of 0.56% & 3.46% in MSE, 1.5% & 5.07% in RMSE, and 11.81% & 13.19% in MAPE over the pre- and post-pandemic data, respectively. However, further research is required to address the varied nature of the data. These findings have significant implications for improving ELF algorithms during pandemics and other significant events that disrupt historical data patterns.

A computer aided drug discovery based discovery of lead-like compounds against KDM5A for cancers using pharmacophore modeling and high-throughput virtual screening.

KDM5A over-expression mediates cancer cell proliferation and promotes resistance toward chemotherapy through epigenetic modifications. As its complete mechanism of action is still unknown, there is no KDM5A specific drug available at clinical level. In the current study, lead compounds for KDM5A were determined through pharmacophore modeling and high-throughput virtual screening from Asinex libraries containing 0.5 million compounds. These virtual hits were further evaluated and filtered for ADMET properties. Finally, 726 compounds were used for docking analysis against KDM5A. On the basis of docking score, 10 top-ranked compounds were selected and further evaluated for non-central nervous system (CNS) and CNS drug-like properties. Among these compounds, N-{[(7-Methyl-4-oxo-1,2,3,4-tetrahydrocyclopenta [c] chromen-9-yl) oxy]acetyl}-l-phenylalanine (G-score: -11.363 kcal/mol) was estimated to exhibit non-CNS properties while 2-(3,4-Dimethoxy-phenyl)-7-methoxy-chromen-4-one (G-score: -7.977 kcal/mol) was evaluated as CNS compound. Docked complexes of both compounds were finally selected for molecular dynamic simulation to examine the stability. This study concluded that both these compounds can serve as lead compounds in the quest of finding therapeutic agents against KDM5A associated cancers.

Insights into capillary-driven motion of micro-particles interacting with advancing meniscus on a substrate.

Liquid-particle interactions at the micro-scale are quite different from the corresponding macro-scale interactions due to the substantial role of capillary forces. Herein, we explore the interaction of a single micro-particle with an air-liquid-substrate contact line. The interaction features ballistic-like motion of micro-particles toward the interacting three-phase contact line with velocities as high as 0.46 m s-1. Through high-speed optical imaging, we elucidate the interaction mechanism and associated intertwined dynamics, including evolution and backward dragging of the transient air-liquid-particle contact line, capillary-inertial launch of micro-particles and its subsequent trapping at the air-liquid-substrate contact line. Based on the force analysis, we build a model to predict the particle velocity profile during the interaction. Our experimental results show that both hydrophilic and hydrophobic micro-particles exhibit capillary-driven motion. The maximum velocity of the hydrophobic particle, as well as its total displacement, is smaller than that of the hydrophilic one with the same particle size. Micro-particle lifting, like dust removal from self-cleaning surfaces, is observed when the dynamic contact angle of the air-liquid-substrate contact line is sufficiently high (i.e. >100°). We also develop criteria for the capillary-driven motion of particles and predict the critical size for particle motion. These findings are valuable to various applications including capillary-driven self-cleaning, pickering emulsions, micro-scale fluid structure interactions and capillary dynamics in porous media.

Genetic diversity and marker trait association for phytophthora resistance in chilli.

BACKGROUND: Chilli is an important commercial crop with positive returns tendency. Phytophthora root rot causes drastic damage to chilli plant. Dearth of detecting marker trait associations is a major hinderance in practicing marker assisted selection in chilli breeding. METHODS AND RESULTS: Herein, 110 chilli accessions were assessed for 15 agronomic traits under control and disease infected conditions for two crop seasons (2018-2019). The SSR genotyping revealed high values of major allele frequency (MAF = 0.70), genetic diversity (GD = 0.39) and Polymorphic Information Content (PIC = 0.31). Principal coordinate analysis and population structure analysis showed distribution of diverse genotypes in all groups by dividing 110 genotypes in three populations and nine sub-populations. The UPGMA based Archaeopteryx tree was in concordance with population structure analysis. Linkage disequilibrium analysis evaluated that LD decays within 3-10 bp. Marker trait association (MTA) revealed the associations of 35 SSRs with 14 morphological traits. The significant MTA for marker CAeMS073 with relative leaf damage (RLD, 0.183 R2) under control and treated conditions was consistently observed in both models. The markers, CAMS173 and CAMS194 were found to be strongly associated with RLD and Disease Index (DI), respectively. The absence of MTA was detected for height of first branch. CONCLUSION: The MTAs reported in this study can facilitate marker assisted breeding for developing chilli germplasm resistant against Phytophthora capsici.

Association mapping for abiotic stress tolerance using heat- and drought-related syntenic markers in okra.

BACKGROUND: Considerable production losses are caused by heat and drought stress in okra. Germplasm evaluation at genetic level is essential for the selection of promising genotypes. Lack of genomic information of okra limits the use of genetic markers. However, syntenic markers of some related family could be used for molecular characterization of major economic traits. METHODS AND RESULTS: Herein, 56 okra genotypes were evaluated for drought and heat tolerance. Sixty-one expressed sequence tags (ESTs) identified for heat and drought tolerance in cotton were searched from literature surveys and databases. The identified ESTs were BLAST searched into okra unigene database. Primers of selected okra unigenes were synthesized and amplified in all genotypes using standard polymerase chain reaction (PCR) protocol. Marker trait association (MTA) of the syntenic unigenes were identified between genotypic and phenotypic data on the basis of linkage disequilibrium Functional syntenic analysis revealed that out of these 61 cotton ESTs 55 had functional homology with okra unigenes. These 55 unigenes were used as markers for further analysis (amplification). Okra genotypes showed significance variations for all the physo-morphological parameters under heat and drought stress. Genotypes Perbhani Karanti, IQRA-III, Selection Super Green, Anmol and Line Bourd performed better under drought stress whereas genotypes Perbhani Karanti, IQRA-III, Green Gold, OK-1501 and Selection Super Green showed heat tolerance. Fifty markers showed amplification in okra. Fifty-six okra genotypes were clustered into three distinct populations. LD analysis has shown most significant linkage between markers Unigene43786 and Unigene3662. MTAs using MLM and GLM models revealed that 23 markers have significant associations (p < 0.05) with different traits under control and stressed conditions. Relative water content is associated with four markers (Unigene10673, Unigene99547, Unigene152901, and Unigene129684) under drought conditions. Whereas, Electrolyte leakage was associated with 3 markers (Unigene109922, Unigene28667 and Unigene146907) under heat stress. CONCLUSION: These identified unigenes may be helpful in the development of drought and heat tolerant genotypes in okra.

Characterization of new COBRA like (COBL) genes in wheat (Triticum aestivum) and their expression analysis under drought stress.

BACKGROUND: The COBL genes encode a plant-specific glycosylphosphatidylinositol (GPI)-anchored protein. Recently identified COBRA genes are supposed as a key regulator of the orientation of cell expansion in the root indicating that COBRA gene family members are likely to be important players at the plasma membrane-cell wall interface. METHODS AND RESULTS: Five COBL gene namely, TaCOBL 1, TaCOBL 2, TaCOBL 3, TaCOBL 4 and TaCOBL 5 were identified using database search and domain predictions. Chromosomal location of each gene was mapped on karyotype. Structure of genes, promoter analysis and phylogenetic analysis were performed using different bioinformatics tools. Set of novel SNPs were also predicted. Gene ontologies were analyzed, and the processes and pathways were identified in which COBRA genes were involved. The molecular weight all the cobra proteins was in range of 50-75 KDa with 429-461 amino acid residues. The COBL genes were mapped on homeologous groups 2, 4, 5, 6 and 7. Gene ontology analysis revealed that TaCOBL genes were involved in cellulose microfibril organization, mucilage biosynthetic process involved in seed coat development, plant-type cell wall biogenesis plant-type cell wall cellulose biosynthetic process, seed coat development and seed development. Three drought responsive cis-elements (WRKY, ABRE and DRE) were found nearby COBL genes The qRT-PCR revealed TaCOBL genes are drought responsive and can be further explored to understand their role in drought tolerance in wheat. CONCLUSION: The comprehensive annotation and expression profiling of COBL genes revealed that all five COBL genes are drought response. The promoter cis-regulatory element analysis revealed that COBL genes had stress related WRKY, ABRE and DRE cis-regulatory elements. This evidence suggest that TaCOBL genes are involved in drought stress tolerance.