1,724,012 research outputs found
A bittersweet legal victory in India helps privacy but could hurt the economy
No full textThe Supreme Court of India's ruling that privacy is a fundamental right is a victory for privacy advocates. However, by questioning the foundations of India's unique identity scheme it may prove a roadblock to fighting corruption and modernising the economy, writes Abhishek Parajuli
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Understanding Complex Traits in Alfalfa Through Transcriptomics, Genomics, and Proteomics
No full textAlfalfa (Medicago sativa L.) is a perennial, outcrossing legume crop predominantly grown for hay, silage, or pasture. Genetic improvement in Alfalfa in terms of hay yield is still comparable to 30 years ago. Under a variety of growing conditions, forage yield in Alfalfa is stymied by biotic and abiotic stresses including heat, salt, drought, and disease. To overcome such stresses, Alfalfa uses a differential gene expression pathway which is under the control of transcription factors that contribute to tolerance of stresses. The Alfalfa breeding program is mainly focused on developing synthetic varieties through recurrent phenotypic selection exploiting additive genetic effects. The production of hybrid Alfalfa breeding programs uses synthetic varieties as the most feasible means for genetic gain. High heterozygosity of the plants and severe inbreeding depression upon selfing precludes the development of inbred lines for hybrid production. However, quantifying inbreeding depression through fitness and vigor traits expressed as weak and strong plants can help map these traits using association study. Identifying these genetic variants paves the way for eliminating deleterious alleles and eventually developing inbred alfalfa lines for hybrid production. However, genetic regions identified through association study do not always translate to actual functional proteins as they are not always linked to genes or genetic variants responsible for traits of interest. As the protein's biological function is strongly dependent on its 3D structure, associating proteins directly with phenotype could help assess the effect of mutation on protein function. To understand the role of transcription factors in stress tolerance, we identified and performed transcriptome analysis of Basic-leucine zipper (bZIP) transcription factors that have played a critical role in regulating growth and development and mediating the responses to abiotic stress in several species, including Arabidopsis thaliana, Oryza sativa, Lotus japonicus, and Medicago truncatula. We identified 237 bZIP genes that were differentially expressed in response to ABA, cold, drought, and salt stresses, indicating a likely role in abiotic stress signaling and/or tolerance. These expressions were further validated through RT-qPCR analysis. Next, a genome-wide association study was performed to map genetic loci associated with Alfalfa for plant vigor trait using 534 plants collected from three locations (Washington, Wisconsin, and Utah) over three generations of selfing. These plants were selected based on plant health of strong and weak within the same line. A total of 11 genetic loci were identified using 588,136 Single nucleotide polymorphisms (SNPs). Gene ontology analysis of significant loci associated them with genes involved in stress response, defense responses against pathogens, and plant reproduction. Finally, we attempted the first-ever association study between features from Alphafold predicted 3D structure of protein and phenotype, to link non-synonymous mutation to phenotypes. We used 154 genes, including significant genes from the GWAS study, after filtering 591,919 SNPs, to predict protein 3D structures that identified the five significant GWAS hits. However, two more genes with the lowest p-values (Nod 19, Cytochrome P450) were also identified which play key roles in plant growth and development and also in stress tolerance. This association study is a promising way to narrow down causal mutations from SNP GWAS through stringent filtering of SNPs
Examining the Relations Between Spatial Skills and Mathematics Performance: A Meta-Analysis
No full textSupplementary materials for "Atit, K., Power, J.R., Pigott, T. et al. Examining the relations between spatial skills and mathematical performance: A meta-analysis. Psychon Bull Rev 29, 699–720 (2022). https://doi.org/10.3758/s13423-021-02012-w
Examining the Relations Between Spatial Skills and Mathematics Performance: A Meta-Analysis
No full textSupplementary materials for "Atit, K., Power, J.R., Pigott, T. et al. Examining the relations between spatial skills and mathematical performance: A meta-analysis. Psychon Bull Rev 29, 699–720 (2022). https://doi.org/10.3758/s13423-021-02012-w
Acta
No full textXXII Reunión de la Comisión de Seguimiento del Acuerdo de Alcance Parcial sobre Transporte Internacional Terrestre (Comisión Artículo 16 del ATIT)
Acta
No full textXXI Reunión de la Comisión de Seguimiento del Acuerdo de Alcance Parcial sobre Transporte Internacional Terrestre (Comisión Artículo 16 del ATIT)
การศึกษาเชิงเปรียบเทียบระหว่างโรงไฟฟ้าโออาร์ซีแบบซับคริติคัลโรงไฟฟ้าโออาร์ซีแบบซุปเปอร์คริติคัล และโรงไฟฟ้าแรงคินไซเคิลแบบไตรแลทเตอรัลสำหรับแหล่งความร้อนที่อุณหภูมิ 210-250 องศาเซลเซียส
No full textวารสารวิชาการและวิจัย มทร.พระนคร, 14(1) : 97-113The performance investigations of subcritical ORC, supercritical ORC, and trilateral Rankine cycle (TLC) power plants with the heat source temperatures of 210-250°C were conducted and compared in this study. Several working fluids were evaluated. A MATLAB code was developed and used in this study. The thermodynamic properties of the working fluids were calculated by using NIST REFPROP program. The justification of the code was validated with a result taken from the literature. The optimal operating conditions were searched using the golden-section technique. The maximum net output power of 141.72 kW was obtained when using the supercritical ORC plant with R141b as its working fluid and the heat source temperature was at 250°C. The corresponding cycle efficiency was 16.25%. When using the subcritical plant at the same heat source temperature, the maximum net output power of 133.40 kW and cycle efficiency of 15.70% are obtained when pentane is used as the working fluid. Furthermore, the net output power of 133.82 kW and cycle efficiency of 14.90% are obtained when using R141b as the working fluid in the TLC power plant. According to the off-design simulations, an appropriate adjustment of the working fluid flow rate can mitigate the variation of the net output power.Rajamangala University of Technology Phra Nakho
Alfalfa Bulked Segregant Analysis data for Phenotype, Genotype and Covariates used in the study
No full textAlfalfa exome capture sequencing data containing phenotype file for Plant Growth vigor, Genotype file with 588,136 markers for Plant Growth Vigor and The covariates used in the final GWAS analysis which included locations, generations, pool and group information.</p
SNP file used in the prediction of Protein 3D structure for association study with alfalfa plant growth vigor.
No full textThe dataset contains the information for the Single Nucleotide polymorphism that is used for predicting the 3D structure of protein and using the features to perform association analysis with the phenotype</p
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