ERIC-PCR: A Molecular Typing Tool for Genotyping Multi Drug Resistant Pseudomonas aeruginosa Isolated from the Pus Samples

Pseudomonas aeruginosa is a typical and major human pathogen, it causes numerous risky opportunistic infections like cystic fibrosis, wound infection, urinary tract infection, ear infections, endocarditis, nosocomial infections and bacteremia, etc. Furthermore, due to their phenotypic variations; identification maybe sometimes harder and consequently which delays their early diagnosis and treatment in infected patients.  Hence, a quick and accurate method for the identification of P. aeruginosa would be more helpful in their early diagnosis. The present work was aimed to use species-specific primer for the rapid and precise identification of P. aeruginosa strains. Multiple drug-resistant strains were selected and their genetic variability was studied using ERIC-PCR. The results showed that out of ten P. aeruginosa isolates, eight were found to be unique and genetically diverse. Keywords: Pseudomonas aeruginosa, ERIC-PCR, MDR. Wound infection, Pus sample

Fine-Mapping of Sorghum Stay-Green QTL on Chromosome10 Revealed Genes Associated with Delayed Senescence

This study was conducted to dissect the genetic basis and to explore the candidate genes underlying one of the important genomic regions on an SBI-10 long arm (L), governing the complex stay-green trait contributing to post-flowering drought-tolerance in sorghum. A fine-mapping population was developed from an introgression line cross—RSG04008-6 (stay-green) J2614-11 (moderately senescent). The fine-mapping population with 1894 F2 was genotyped with eight SSRs and a set of 152 recombinants was identified, advanced to the F4 generation, field evaluated with three replications over 2 seasons, and genotyped with the GBS approach. A high-resolution linkage map was developed for SBI-10L using 260 genotyping by sequencing—Single Nucleotide Polymorphism (GBS–SNPs). Using the best linear unpredicted means (BLUPs) of the percent green leaf area (%GL) traits and the GBS-based SNPs, weidentified seven quantitative trait loci (QTL) clusters and single gene, mostly involved in drought-tolerance, for each QTL cluster, viz., AP2/ERF transcription factor family (Sobic.010G202700), NBS-LRR protein (Sobic.010G205600), ankyrin-repeat protein (Sobic.010G205800), senescence-associated protein (Sobic.010G270300), WD40 (Sobic.010G205900), CPK1 adapter protein (Sobic.010G264400), LEA2 protein (Sobic.010G259200) and an expressed protein (Sobic.010G201100). The target genomic region was thus delimited from 15 Mb to 8 genes co-localized with QTL clusters, and validated using quantitative real-time (qRT)–PCR

Fine mapping of stay-green QTLs on sorghum chromosome SBI-10L ‒ An approach from genome to phenome

Sorghum is the fifth most important C4 cereal crop grown globally in arid and semi-arid climatic conditions. Drought is the major cause for loss of productivity worldwide. Delayed senescence of plants leads to adaptation to drought stress conditions by staying-green and giving high yields. In order to identify and dissect the stay-green genomic regions we have developed a high resolution fine mapping population from introgression line cross RSG04008-6 (stay-green) × J2614-11 (shoot fly resistant). Nearly 1894 F2 genotypes were screened with 8 SSR in order to identify double recombinants for both the parents in the sorghum chromosome-10 long arm (SBI-10L). The selected F2:4 recombinants were GBSed to increase the marker density between flanking markers Xgap001- Xtxp141 for stay-green QTLs on SBI-10L and a high resolution linkage map was developed using GBS SNPs. Out of 182 only 152 recombinants were replicated thrice in field for staygreen screening for two seasons (Summer 2013 and 2014). Fine mapping of the per cent Green Leaf Area (%GLA) traits identified 33 QTLs and 19QTLs were clustered into 7groups where 8 genes were identified. These were AP2/ERF transcription factor family (Sb10g025053), Ankyrin-repeat protein (Sb10g025310), WD40 repeat protein (Sb10g025320), NBSLRR Protein (Sb10g025283), Calcium dependant protein kinase (Sb10g030150), LEA2 protein (Sb10g029570), a putative uncharacterized protein (Sb10g024920) and senescence associated protein (Sb10g030520). With this study SBI-10L staygreen genomic regions were delimited from 15Mb to 8 genes co-localized with GWAS MTAs. Further cloning and expression level studies of the identified candidate genes will improve the development of drought tolerant genotypes

Fine genetic mapping of combined shoot fly resistance (SFR) and stay green (STG) traits on sorghum chromosome SBI-10

Sorghum is fifth most important C4 cereal crop used as food, feed, fodder, fuel and a “fail safe” source in semi-arid tropics of the world..

Population Genetics and Structure of a Global Foxtail Millet Germplasm Collection

Foxtail millet is one among the most ancient crops of dryland agriculture. It is the second most important crop among millets, grown for grains or forage. Foxtail millet germplasm resources provide reservoirs of novel alleles and genes for crop improvement that have remained mostly unexplored. We genotyped a set of 190 foxtail millet germplasm accessions (including 155 accessions of the foxtail millet core collection) using genotyping-by-sequencing (GBS) for rapid single nucleotide polymorphisms (SNP) characterization to study population genetics and structure, which enable allele mining through association mapping approaches. After filtering a total 350,000 raw SNPs identified across 190 germplasm accessions for Minor Allele Frequency (MAF), coverage for samples and coverage for sites, we retained 181 accessions with 17,714 high quality SNPs with ≥ 5% MAF. Genetic structure analyses revealed that foxtail millet germplasm accessions are structured along both on the basis of races and geographic origin, and the maximum proportion of variation was due to among individuals within populations. Accessions of race indica were less diverse and are highly differentiated from those of maxima and moharia. Genome-wide linkage disequilibrium (LD) analysis showed on an average LD extends up to ~150 kbp, and varied with individual chromosomes. The utility of these data for performing genome-wide association studies was tested with plant pigmentation and days to flowering, and identified significant marker-trait associations. This SNP data provides a foundation for exploration of foxtail millet diversity and for mining novel alleles and mapping genes for economically important traits

The potential of urinary metabolites for diagnosing multiple sclerosis

A definitive diagnostic test for multiple sclerosis (MS) does not exist; instead physicians use a combination of medical history, magnetic resonance imaging, and cerebrospinal fluid analysis (CSF). Significant effort has been employed to identify biomarkers from CSF to facilitate MS diagnosis; however none of the proposed biomarkers have been successful to date. Urine is a proven source of metabolite biomarkers and has the potential to be a rapid, non-invasive, inexpensive, and efficient diagnostic tool for various human diseases. Nevertheless, urinary metabolites have not been extensively explored as a source of biomarkers for MS. Instead, we demonstrate that urinary metabolites have significant promise for monitoring disease-progression, and response to treatment in MS patients. NMR analysis of urine permitted the identification of metabolites that differentiate experimental autoimmune encephalomyelitis (EAE)-mice (prototypic disease model for MS) from healthy and MS drug-treated EAE mice

Electrical characterization of amorphous lanthanum aluminate thin films grown by molecular-beam depostition on silicon

Amorphous LaAlO3 thin films were deposited at room temperature directly on n-type and p-type Si (001) by molecular beam deposition. The dielectric properties of the stoichiometric amorphous LaAlO3 thin films deposited on silicon were determined through capacitance-voltage and current-voltage measurements. The electrical measurements indicate that the amorphous LaAlO3 thin films have a dielectric constant (K) of K=16 +/- 2. This is significantly lower than the K=24 of crystalline LaAlO3. The equivalent oxide thickness values range between 9.8 and 15.5 A for films deposited on n-type silicon with physical thicknesses of 45-75 A. (c) 2006 American Institute of Physics

Directional growth, physicochemical and quantum chemical investigations on pyridinium 2-carboxylate: 4-nitrophenol (P2C4N) single crystal for nonlinear optical (NLO) applications

An organic nonlinear optical (NLO) single crystal of pyridinium 2-carboxylate: 4-nitrophenol (P2C4N) was grown by the Sankaranarayanan-Ramasamy (SR) method using the (1 1 -1) plane. A transparent crystal of size 180 mm in length and 10 mm in diameter was grown over a period of 60 days. The lattice parameters and the molecular structure of the grown crystal were confirmed by single crystal XRD and nuclear magnetic resonance (NMR) spectrum analysis, respectively. The crystalline perfection of the SR method-grown crystal was evaluated by HRXRD analysis; from the observed results, it is evident that the crystal quality is quite good. UV-Vis-NIR analysis shows that the SR method-grown crystal has good transparency (90%) in the visible and NIR regions. The band gap of the title crystal was estimated by the Tauc's plot method and was found to be 3 eV. The title material is thermally stable up to 141 degrees C, and it demonstrates positive photoconductive behaviour. Vickers microhardness studies revealed that the grown crystal can be categorized as a soft material. The laser damage threshold of P2C4N was found to be 2.9 GW cm(-2), which shows that the grown crystal possesses excellent resistance to high power radiation. Z-Scan studies proved that the grown crystal possesses self-defocusing effects and negative nonlinearity. The theoretical spectra were calculated using the B3LYP/cc-pVTZ basis set and were compared with the experimental FT-IR and FT-Raman spectra of the title molecule. The full vibrational assignments of the observed spectra have been proposed by normal coordinate analysis (NCA) followed by force-field calculations. Quantum chemical studies, such as optimized geometry, HOMO-LUMO, natural bonding orbital (NBO) analysis, AIM analysis, hyperpolarizability and molecular electrostatic potential (MEP) were performed for the title molecule. The results are discussed in detail

A review on the next generation of healing: Exploring the use of triboelectric nanogenerators in wound care

Despite advancements in wound healing treatments, high rates of elimination persist and emphasize the need for more effective solutions. One promising approach is using electrical stimulation (ES) therapy, which is underutilized in clinical practice. However, with the rise of wearable technology, ES therapy is gaining renewed attention. The triboelectric nanogenerator (TENG) converts mechanical energy into electricity following triboelectrification and electrostatic induction. With a variety of materials and device designs, TENG offers many benefits, including high output power. The small vibrations produced by the body and organs provide an excellent energy source for self-powered healthcare applications using TENG. This review highlights the progress made in TENG-based wound healing. We have summarized various research outcomes of TENG-based wound healing applications that have been published in recent years. However, challenges of TENG, such as downsizing, encapsulation, and stable performance, must be addressed before medical trials begin. In the coming years, addressing these challenges would pave the way for TENG to become an alternative power source for self-power wound healing applications. © 2023 Elsevier B.V.FALS