Nudging and the Ecological and Social Roots of Human Agency

List of Stress Shared Gene

GC3 biology in corn, rice, sorghum and other grasses

<p>Abstract</p> <p>Background</p> <p>The third, or wobble, position in a codon provides a high degree of possible degeneracy and is an elegant fault-tolerance mechanism. Nucleotide biases between organisms at the wobble position have been documented and correlated with the abundances of the complementary tRNAs. We and others have noticed a bias for cytosine and guanine at the third position in a subset of transcripts within a single organism. The bias is present in some plant species and warm-blooded vertebrates but not in all plants, or in invertebrates or cold-blooded vertebrates.</p> <p>Results</p> <p>Here we demonstrate that in certain organisms the amount of GC at the wobble position (GC₃) can be used to distinguish two classes of genes. We highlight the following features of genes with high GC₃content: they (1) provide more targets for methylation, (2) exhibit more variable expression, (3) more frequently possess upstream TATA boxes, (4) are predominant in certain classes of genes (e.g., stress responsive genes) and (5) have a GC₃content that increases from 5'to 3'. These observations led us to formulate a hypothesis to explain GC₃bimodality in grasses.</p> <p>Conclusions</p> <p>Our findings suggest that high levels of GC₃typify a class of genes whose expression is regulated through DNA methylation or are a legacy of accelerated evolution through gene conversion. We discuss the three most probable explanations for GC₃bimodality: biased gene conversion, transcriptional and translational advantage and gene methylation.</p

Physicochemical Tools : Toward a Detailed Understanding of the Architecture of Targeted Radiotherapy Nanoparticles

Funded by Chief Scientists Office (TCS/16/07), TENOVUS Scotland (G15-03), and the University of Aberdeen Development Trust. K.C.N. gratefully acknowledges the University of Aberdeen for the Elphinstone PhD scholarship (RG13451-10) and to Postnova Analytics UK for training and loan of the AFFF system. Microscopy was performed in the Microscopy and Histology Core Facility at the University of Aberdeen. GC acknowledges D. Zaton for useful discussions.Peer reviewedPostprin

The Arabidopsis \u3cem\u3edwf/ste1\u3c/em\u3e Mutant is Defective in the Δ\u3csup\u3e7\u3c/sup\u3e Sterol C-5 Desaturation Step Leading to Brassinosteroid Biosynthesis

Lesions in brassinosteroid (BR) biosynthetic genes result in characteristic dwarf phenotypes in plants. Understanding the regulation of BR biosynthesis demands continued isolation and characterization of mutants corresponding to the genes involved in BR biosynthesis. Here, we present analysis of a novel BR biosynthetic locus, dwarf7 (dwf7). Feeding studies with BR biosynthetic intermediates and analysis of endogenous levels of BR and sterol biosynthetic intermediates indicate that the defective step in dwf7-1 resides before the production of 24-methylenecholesterol in the sterol biosynthetic pathway. Furthermore, results from feeding studies with 13C-labeled mevalonic acid and compactin show that the defective step is specifically the Δ7 sterol C-5 desaturation, suggesting that dwf7 is an allele of the previously cloned STEROL1 (STE1) gene. Sequencing of the STE1 locus in two dwf7 mutants revealed premature stop codons in the first (dwf7-2) and the third (dwf7-1) exons. Thus, the reduction of BRs in dwf7 is due to a shortage of substrate sterols and is the direct cause of the dwarf phenotype in dwf7

The Arabidopsis \u3cem\u3edwarf1\u3c/em\u3e Mutant is Defective in the Conversion of 24-Methylenecholesterol to Campesterol in Brassinosteroid Biosynthesis

Since the isolation and characterization of dwarf1-1 (dwf1-1) from a T-DNA insertion mutant population, phenotypically similar mutants, including deetiolated2 (det2),constitutive photomorphogenesis and dwarfism(cpd), brassinosteroid insensitive1 (bri1), and dwf4, have been reported to be defective in either the biosynthesis or the perception of brassinosteroids. We present further characterization of dwf1-1 and additional dwf1 alleles. Feeding tests with brassinosteroid-biosynthetic intermediates revealed that dwf1 can be rescued by 22α-hydroxycampesterol and downstream intermediates in the brassinosteroid pathway. Analysis of the endogenous levels of brassinosteroid intermediates showed that 24-methylenecholesterol in dwf1 accumulates to 12 times the level of the wild type, whereas the level of campesterol is greatly diminished, indicating that the defective step is in C-24 reduction. Furthermore, the deduced amino acid sequence of DWF1 shows significant similarity to a flavin adenine dinucleotide-binding domain conserved in various oxidoreductases, suggesting an enzymatic role for DWF1. In support of this, 7 of 10 dwf1 mutations directly affected the flavin adenine dinucleotide-binding domain. Our molecular characterization of dwf1 alleles, together with our biochemical data, suggest that the biosynthetic defect in dwf1 results in reduced synthesis of bioactive brassinosteroids, causing dwarfism

Insights into corn genes derived from large-scale cDNA sequencing

We present a large portion of the transcriptome of Zea mays, including ESTs representing 484,032 cDNA clones from 53 libraries and 36,565 fully sequenced cDNA clones, out of which 31,552 clones are non-redundant. These and other previously sequenced transcripts have been aligned with available genome sequences and have provided new insights into the characteristics of gene structures and promoters within this major crop species. We found that although the average number of introns per gene is about the same in corn and Arabidopsis, corn genes have more alternatively spliced isoforms. Examination of the nucleotide composition of coding regions reveals that corn genes, as well as genes of other Poaceae (Grass family), can be divided into two classes according to the GC content at the third position in the amino acid encoding codons. Many of the transcripts that have lower GC content at the third position have dicot homologs but the high GC content transcripts tend to be more specific to the grasses. The high GC content class is also enriched with intronless genes. Together this suggests that an identifiable class of genes in plants is associated with the Poaceae divergence. Furthermore, because many of these genes appear to be derived from ancestral genes that do not contain introns, this evolutionary divergence may be the result of horizontal gene transfer from species not only with different codon usage but possibly that did not have introns, perhaps outside of the plant kingdom. By comparing the cDNAs described herein with the non-redundant set of corn mRNAs in GenBank, we estimate that there are about 50,000 different protein coding genes in Zea. All of the sequence data from this study have been submitted to DDBJ/GenBank/EMBL under accession numbers EU940701–EU977132 (FLI cDNA) and FK944382-FL482108 (EST)

Trichome Development in \u3ci\u3eArabidopsis thaliana\u3c/i\u3e. 1. T-DNA Tagging of the \u3ci\u3eGLABROUS1\u3c/i\u3e Gene

Progeny from a transformed Arabidopsis plant (produced by the Agrobacterium-mediated seed transformation procedure) were found to be segregating for an altered trichome phenotype. The mutant plants have normal leaf trichomes but completely lack trichomes usually found on the stem. The mutation is tightly linked to a T-DNA insert. Complementation analysis with genetically characterized trichome mutants revealed that the new mutation is an allele of the GL1 locus. The new trichome mutant has been designated gl1-43. DNA gel blot analysis indicated that the insert site contains a complex array of at least four tandemly linked T-DNA units oriented as both direct and inverted repeats. A genomic library, constructed using DNA from gl1-43 plants, was used to clone DNA that flanks the left end of the T-DNA insert. The availability of DNA from the region interrupted by the insert has allowed initial characterization of the wild-type GL1 gene and will permit the eventual cloning and sequencing of this developmentally interesting gene

Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana

Machine learning (ML) is an intelligent data mining technique that builds a prediction model based on the learning of prior knowledge to recognize patterns in large-scale data sets. We present an ML-based methodology for transcriptome analysis via comparison of gene coexpression networks, implemented as an R package called machine learning–based differential network analysis (mlDNA) and apply this method to reanalyze a set of abiotic stress expression data in Arabidopsis thaliana. The mlDNA first used a ML-based filtering process to remove nonexpressed, constitutively expressed, or non-stress-responsive “noninformative” genes prior to network construction, through learning the patterns of 32 expression characteristics of known stress-related genes. The retained “informative” genes were subsequently analyzed by ML-based network comparison to predict candidate stress-related genes showing expression and network differences between control and stress networks, based on 33 network topological characteristics. Comparative evaluation of the network-centric and gene-centric analytic methods showed that mlDNA substantially outperformed traditional statistical testing–based differential expression analysis at identifying stress-related genes, with markedly improved prediction accuracy. To experimentally validate the mlDNA predictions, we selected 89 candidates out of the 1784 predicted salt stress–related genes with available SALK T-DNA mutagenesis lines for phenotypic screening and identified two previously unreported genes, mutants of which showed salt-sensitive phenotypes