Dissecting genomic regions and underlying sheath blight resistance traits in rice (Oryza sativa L.) using a genome-wide association study.

The productivity of rice is greatly affected by the infection of the plant pathogenic fungus Rhizoctonia solani, which causes a significant grain yield reduction globally. There exist a limited number of rice accessions that are available to develop sheath blight resistance (ShB). Our objective was to identify a good source of the ShB resistance, understand the heritability, and trait interactions, and identify the genomic regions for ShB resistance traits by genome-wide association studies (GWAS). In the present study, a set of 330 traditional landraces and improved rice varieties were evaluated for ShB resistance and created a core panel of 192 accessions used in the GWAS. This panel provides a more considerable amount of genetic variance and found a significant phenotypic variation among the panel of rice accessions for all the agro-morphological and disease-resistance traits over the seasons. The infection rate of ShB and disease reaction were calculated as percent disease index (PDI) and area under the disease progress curve (AUDPC). The correlation analysis showed a significant positive association between PDIs and AUPDC and a negative association between PDI and plant height, flag leaf length, and grain yield. The panel was genotyped with 133 SSR microsatellite markers, resulting in a genome coverage of 314.83 Mb, and the average distance between markers is 2.53 Mb. By employing GLM and MLM (Q + K) models, 30 marker-trait associations (MTAs) were identified with targeted traits over the seasons. Among these QTLs, eight were found to be novel and located on 2, 4, 8, 10, and 12 chromosomes, which explained the phenotypic variation ranging from 5% to 15%. With the GWAS approach, six candidate genes were identified. Os05t0566400, Os08t0155900, and Os09t0567300 were found to be associated with defense mechanisms against ShB. These findings provided insights into the novel donors of IC283139, IC 277248, Sivappuchithirai Kar, and Bowalia. The promising genomic regions on 10 of 12 chromosomes associated with ShB would be useful in developing rice varieties with durable disease resistance.

Investigations on the microstructure and properties of yttria and silicon carbide reinforced aluminium composites.

Powder Metallurgy (PM) was used to synthesize SiC (0, 5, 10, 15 & 20 wt%) and 1 wt% Yttria (Y2O3) reinforced aluminium (Al) metal matrix composites. The Al-SiC-Y2O3 hybrid composites samples were prepared for density (ρ), hardness (VHN), mechanical, tribological, and microstructural studies in accordance with ASTM standards. SEM images revealed an even spreading of SiC particles throughout the Al matrix and composition was verified by the characterization techniques. The addition of SiC and Y2O3 to their respective composites improved the VHN and 'ρ'. The compressive strength (CS) of Al-SiC-Y2O3 composites increased while increasing the SiC. The higher compression strength (405 MPa) was obtained for the Al - 1 wt% Y2O3-20 wt% SiC- hybrid composites. The thermal conductivity (K) of Al-SiC-Y2O3 samples diminishes, as the hard SiC particles are gradually added. Furthermore, it was observed that accumulative the wt% of SiC in the aluminium metal matrix (AMMC) results in a novel material with a decreased wear rate. The better properties was achieved for the samples contain 20 wt% of SiC content in Al - 1 wt% Y2O3 matrix.

Deciphering environmental factors and defense response of rice genotypes against sheath blight disease.

Sheath blight (ShB) is one of the most serious diseases in rice, leading to severe yield losses globally. In our study, we evaluated a total of 63 rice genotypes for resistance against sheath blight disease by artificial inoculation over two seasons under field conditions and studied the weather parameters associated with disease incidence. Based on two years of testing, 23 genotypes were found moderately resistant, 38 were moderately susceptible, and 2 exhibited a susceptible reaction to sheath blight disease. Among the specific four genotypes (IC283139, IC283041, IC283038, and IC283023) of the moderately resistant group exhibited less disease reaction in comparison with check variety Tetep. Further, the correlation of percent disease index (PDI) with weather parameters revealed negative associations between PDI and maximum temperature, minimum temperature, low rainfall and the positive association with maximum relative humidity (RH) suggest that very low temperature or high precipitation might have a negative impact on pathogen establishment. In addition, the sheath blight-linked SSRs were assessed using distance and model-based approaches, results of both the models revealed that genotypes distinguished the resistant population from the susceptible one. From the output of two years of principal component analysis, two genotypes from each group of moderately resistant, moderately susceptible and susceptible were studied for their biochemical reaction against the sheath blight pathogen. The biochemical study revealed that the accumulation of defense and antioxidant enzymes, namely, polyphenol oxidase, peroxidase, total phenol, phenylalanine ammonia-lyase, catalase, and superoxide dismutase, were higher in moderately resistant genotypes, but was observed to be lower in moderately susceptible and susceptible genotypes. The statistical analysis revealed the enzyme activities (defense and antioxidant) exhibited a strong negative correlation with area under the disease progress curve (AUDPC) and influence of weather parameter RH. This demonstrates that the environment factor RH plays a major role in imparting the resistance mechanism by decreasing the enzymes activities and increasing PDI. This study found that the identified novel resistant genotype (IC283139) with purple stem base demonstrated improved resistance against sheath blight infection through a defense response and the use of antioxidant machinery.

Elucidation of the population structure and genetic diversity of Bipolaris oryzae associated with rice brown spot disease using SSR markers.

Brown spot disease, caused by Bipolaris oryzae, is one of the several disastrous diseases affecting rice. The brown spot fungus illustrates substantial pathogenic and genetic variability. To the best of our knowledge, extensive analysis utilizing specific SSR primers for B. oryzae genome is quite inadequate for the population structure and genetic diversity of Indian B. oryzae isolates. A total of 84 brown spot isolates were collected from rice-cultivating areas across southern and eastern Indian states, viz., Tamil Nadu, Andhra Pradesh, Odisha and Chhattisgarh. The pathogenicity and virulence characteristics of these isolates were assessed with the susceptible cultivar CR Dhan 201. Twelve genome-specific SSR markers of B. oryzae warranted the investigation of the population structure and genetic diversity among the isolates. These isolates were categorized based on their disease grade as highly virulent isolates (4 nos.), virulent isolates (8 nos.), moderately virulent isolates (47 nos.) and less virulent isolates (25 nos.). PCR amplification and DNA sequencing confirmed the isolates to be B. oryzae. PCR amplification and DNA sequencing confirmed the isolates to be B. oryzae. The SSR markers produced a total of 35 alleles with 1 to 4 alleles per locus with a gene diversity ranging between 0.00 and 0.687 and a major allele frequency variation of 0.425-0.975. The PIC value ranged from 0.00 to 0.638 having a mean value of 0.34. Cluster analysis technique was applied to group the brown spot isolates into four distinct clusters. Principal coordinate and structure analysis identified two genetic clusters of B. oryzae isolates for individual states with some degree of distinctness complying with their virulence. Analysis of molecular variance revealed more genetic variation within populations and less among populations. The study outcome would expedite the comprehension of genetic diversity of B. oryzae across the southern and eastern states of India. Furthermore, we anticipate its guidance in the development of more effective disease management strategies as well as in the generation of novel resistant varieties through marker-assisted breeding. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-022-03347-4.

Impact of digital boards on hand and neck muscle activity during online teaching process.

Academicians across the globe due to Covid 19 shifted to online teaching as a mainstream method by replacing the chalk and talk method. The main objective of this study is to find the impact of different sizes of digital boards used for online teaching on muscle activity and muscle fatigue, and then results are compared with conventional writing. Initially, a questionnaire survey is conducted among 100 college professors about the issue they faced while using online teaching methods. Experimental analysis are then conducted using electromyography sensor (sEMG) among ten college professors and their muscle activity on the dominant hand and neck while writing on two commercially available digital boards namely Type 1 (small writing area) and Type 2 (large writing area). Four muscles namely Flexor carpi radialis, Extensor carpi radialis, Biceps brachii, and Sternocleidomastoid (SCM) are chosen for the study. The results are then compared with muscle activity while writing on conventional A4 sheets. Normalized root mean square (RMS) is used to assess the muscle activity and the trend line of MPF value is utilized to assess the muscle fatigue. The results show that SCM muscle has more muscle activation compared to other selected muscles followed by flexor carpi radialis. Subjective analysis is carried out using the Borg scale, which has reported that Type 2 digital board having larger working area was preferred by the participants as it reduces muscle fatigue.

Process optimization, green chemistry balance and technoeconomic analysis of biodiesel production from castor oil using heterogeneous nanocatalyst.

In the present work, zinc doped calcium oxide was used as a nanocatalyst for biodiesel production from castor oil. The optimal conditions of biodiesel conversion and green chemistry balance were obtained with response surface methodology. Five green chemistry parameters like carbon efficiency, atom economy, reaction mass efficiency, stoichiometric factor and environmental factor were optimized. The sustainable biodiesel yield 84.9% and green chemistry balance 0.902 was achieved at methanol to oil molar ratio 10.5:1, temperature 57 °C, time 70 min, and catalyst concentration 2.15%. The synthesized biodiesel was characterized by GCMS and FTIR, and physic-chemical properties were determined. Based on experimental study annually 20.3 million kg capacity plant was simulated using SuperPro designer. The sensitivity analysis of oil purchase cost and biodiesel selling price on ROI, payback period, IRR and NPV were investigated. The optimization and technoeconomic analysis provided a sustainable platform for commercial based biodiesel production.

Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding.

BACKGROUND: High yielding rice varieties are usually low in grain iron (Fe) and zinc (Zn) content. These two micronutrients are involved in many enzymatic activities, lack of which cause many disorders in human body. Bio-fortification is a cheaper and easier way to improve the content of these nutrients in rice grain. RESULTS: A population panel was prepared representing all the phenotypic classes for grain Fe-Zn content from 485 germplasm lines. The panel was studied for genetic diversity, population structure and association mapping of grain Fe-Zn content in the milled rice. The population showed linkage disequilibrium showing deviation of Hardy-Weinberg's expectation for Fe-Zn content in rice. Population structure at K = 3 categorized the panel population into distinct sub-populations corroborating with their grain Fe-Zn content. STRUCTURE analysis revealed a common primary ancestor for each sub-population. Novel quantitative trait loci (QTLs) namely qFe3.3 and qFe7.3 for grain Fe and qZn2.2, qZn8.3 and qZn12.3 for Zn content were detected using association mapping. Four QTLs, namely qFe3.3, qFe7.3, qFe8.1 and qFe12.2 for grain Fe content were detected to be co-localized with qZn3.1, qZn7, qZn8.3 and qZn12.3 QTLs controlling grain Zn content, respectively. Additionally, some Fe-Zn controlling QTLs were co-localized with the yield component QTLs, qTBGW, OsSPL14 and qPN. The QTLs qFe1.1, qFe3.1, qFe5.1, qFe7.1, qFe8.1, qZn6, qZn7 and gRMm9-1 for grain Fe-Zn content reported in earlier studies were validated in this study. CONCLUSION: Novel QTLs, qFe3.3 and qFe7.3 for grain Fe and qZn2.2, qZn8.3 and qZn12.3 for Zn content were detected for these two traits. Four Fe-Zn controlling QTLs and few yield component QTLs were detected to be co-localized. The QTLs, qFe1.1, qFe3.1, qFe5.1, qFe7.1, qFe8.1, qFe3.3, qFe7.3, qZn6, qZn7, qZn2.2, qZn8.3 and qZn12.3 will be useful for biofortification of the micronutrients. Simultaneous enhancement of Fe-Zn content may be possible with yield component traits in rice.

Biodiesel production from Calophyllum inophyllum oil using zinc doped calcium oxide (Plaster of Paris) nanocatalyst.

The present study was mainly focused on the production of biodiesel from Calophyllum inophyllum oil. The oil was characterized by GC-MS and stored for biodiesel production. The heterogeneous catalyst was synthesized for effective production of biodiesel. The synthesized catalyst was found to have good activity and stability. The surface and element characterization of zinc doped calcium oxide was characterized by SEM and EDAX. The size of nanocomposite was found to be in the range of 14.3-65.6 nm. The EDAX has confirmed the presence of zinc on the surface of the calcium oxide. The maximum biodiesel yield of 89.0% (v/v) was obtained at 55 °C in 80 min and catalyst concentration of 6% (w/v). The optimized methanol:oil molar ratio was obtained at 9:1 for the production of biodiesel. The produced methyl ester was confirmed by GC-MS analysis.

Synthesis, characterization and synergistic activity of cerium-selenium nanobiocomposite of fungal l-asparaginase against lung cancer.

Cerium selenium nanobiocomposites are novel lung cancer drug as they possess combined anti-cancer property of nanocomposite with l-asparaginase working in synergetic manner. Cerium selenium nanobiocomposites were synthesized using simple co-precipitation method. The size of the nanocomposite was found to be in the range 60-90 nm. Maximum absorption was observed using UV spectrum in the range of 350-490 nm. The nanobiocomposites was characterized using H-NMR and FTIR analysis it was found that secondary alkyl, allylic carbon, monosubstituted alkenes and sp2 hybridized CH bonds of alkenes were involved in binding of cerium and selenium nanoparticles with l-asparaginase for the formation of cerium selenium nanobiocomposite. The spherical shape of the cerium selenium nanobiocomposites were confirmed using SEM. Anticancer activity was checked by performing MTT assay resulting in 70.84% and 48.78% toxicity for maximum concentration of 1000 (µg/ml) and IC50 concentration of 125 (µg/ml) respectively on A549 lung cancer cell line using fluorescent microscopic analysis.