Knob-socket Investigation of Stability and Specificity in Alpha-helical Secondary and Quaternary Packing Structure

The novel knob-socket (KS) model provides a construct to interpret and analyze the direct contributions of amino acid residues to the stability in α-helical protein structures. Based on residue preferences derived from a set of protein structures, the KS construct characterizes intra- and inter-helical packing into regular patterns of simple motifs. The KS model was used in the de novo design of an α-helical homodimer, KSα1.1. Using site-directed mutagenesis, KSα1.1 point mutants were designed to selectively increase and decrease stability by relating KS propensities with changes to α-helical structure. This study suggests that the sockets from the KS Model can be used as a measure of α-helical structure and stability. The KS model was also used to investigate coiled-coil specificity in bZIP proteins. Identifying and characterizing the interactions that determine the dimerization specificity between bZIP proteins is a crucial factor in better understanding disease formation and proliferation, as well as developing drugs or therapeutics to combat these diseases. Knob-Socket mapping methods identified Asn residues at a positions within the helices, and were determined to be crucial factors in coiled-coil specificity. Site-directed mutagenesis was conducted to investigate the role of the Asn residues, as well as the role played by the neighboring residues at the g and b positions. The results indicate that the Asn at the a position defines coiled-coil specificity, and that the Knob-Socket model can be used to determine bZIP protein quaternary interactions

Securing Diversity for Food Security: The Case of Conservation and Use of Rice Genetic Resources

Producing enough food, fiber, and fuel, in this case, the second most important global crop called rice, remains a continuing challenge as global population increases and various production constraints ensue. Plant breeding scientists prefer using elite rice lines but also infuse new genetic resources into the parental genepool for desirable traits, such as resistance to pests and diseases, good flavor, and high nutritional quality on top of high-yielding potential. Prior research studies reveal the importance of germplasm resources including wild rice relatives as excellent sources of desirable traits in new crop breeds. Advances in molecular and genomics approaches (QTLs, GWAS, OMICs technologies) have identified and transferred genes, genomes, loci among other important genetic materials that are sought for. As knowledge builds up with these biotechniques, more rice genetic resources can be characterized at the molecular and systems levels for further utility in breeding better cultivars. Information generated from innovative approaches must be documented and processed as germplasm characterization data and must remain accessible at genebanks that exist centrally to conserve biodiversity. Development of germplasm information should be a collaborative effort of scientists who share similar interests in exploiting the valuable and novel genes within germplasm resources that are essential for crop improvement

Comparative Metabolome Profile between Tobacco and Soybean Grown under Water-Stressed Conditions

Understanding how plants respond to water deficit is important in order to develop crops tolerant to drought. In this study, we compare two large metabolomics datasets where we employed a nontargeted metabolomics approach to elucidate metabolic pathways perturbed by progressive dehydration in tobacco and soybean plants. The two datasets were created using the same strategy to create water deficit conditions and an identical metabolomics pipeline. Comparisons between the two datasets therefore reveal common responses between the two species, responses specific to one of the species, responses that occur in both root and leaf tissues, and responses that are specific to one tissue. Stomatal closure is the immediate response of the plant and this did not coincide with accumulation of abscisic acid. A total of 116 and 140 metabolites were observed in tobacco leaves and roots, respectively, while 241 and 207 were observed in soybean leaves and roots, respectively. Accumulation of metabolites is significantly correlated with the extent of dehydration in both species. Among the metabolites that show increases that are restricted to just one plant, 4-hydroxy-2-oxoglutaric acid (KHG) in tobacco roots and coumestrol in soybean roots show the highest tissue-specific accumulation. The comparisons of these two large nontargeted metabolomics datasets provide novel information and suggest that KHG will be a useful marker for drought stress for some members of Solanaceae and coumestrol for some legume species

Technology staff development

Traditional staff development does not suffice for emerging technologies and evolving pedagogy for teacher use of technology in instruction. Societal changes have produced new needs. Change causes a need to systematically look at progress and the attributes associated with the diffusion of innovations (Rogers, 1995). Roswell (1997) is only one of several schools who have dedicated considerable resources to developing a technology staff development plan with results in higher percentages of teachers using technology in the classroom. Technology staff development should have characteristics in models that coincide with the attributes of diffusion. Technology staff development can bridge the use and understanding of technology to students. Highlighted will be what must be done in order for schools to experience significant change in technology implementation

Comparative Metabolome Profile between Tobacco and Soybean Grown under Water-Stressed Conditions

Understanding how plants respond to water deficit is important in order to develop crops tolerant to drought. In this study, we compare two large metabolomics datasets where we employed a nontargeted metabolomics approach to elucidate metabolic pathways perturbed by progressive dehydration in tobacco and soybean plants. The two datasets were created using the same strategy to create water deficit conditions and an identical metabolomics pipeline. Comparisons between the two datasets therefore reveal common responses between the two species, responses specific to one of the species, responses that occur in both root and leaf tissues, and responses that are specific to one tissue. Stomatal closure is the immediate response of the plant and this did not coincide with accumulation of abscisic acid. A total of 116 and 140 metabolites were observed in tobacco leaves and roots, respectively, while 241 and 207 were observed in soybean leaves and roots, respectively. Accumulation of metabolites is significantly correlated with the extent of dehydration in both species. Among the metabolites that show increases that are restricted to just one plant, 4-hydroxy-2-oxoglutaric acid (KHG) in tobacco roots and coumestrol in soybean roots show the highest tissue-specific accumulation. The comparisons of these two large nontargeted metabolomics datasets provide novel information and suggest that KHG will be a useful marker for drought stress for some members of Solanaceae and coumestrol for some legume species

Effect of Spectral Quality of Monochromatic LED Lights on the Growth of Artichoke Seedlings

Indoor farming is becoming a popular alternative approach in food production to meet the demand of a growing world population. Under this production system, artificial light provides the main source of illumination in sustaining plant growth and development. The use of light-emitting diodes (LEDs) is a popular source of artificial light for indoor farms due to its narrow light spectra, modular design and energy efficiency. This study purposely assessed the effect of monochromatic LED light quality on the growth of three varieties of artichoke seedlings compared to greenhouse condition. Spectral quality assessment showed that photosynthetic photon flux density (PPFD) was highest under red LED light, but only a third of the total PPFD under natural light. Seedlings grown under red light showed 60–100% more shoot dry weight and were 67–115% taller than seedlings grown in the greenhouse. However, seedlings under blue or white light conditions showed 67–76% less in biomass compared to greenhouse-grown seedlings. Overall, plant response of seedlings under red light condition was much better compared to greenhouse-grown seedlings emphasizing the importance of red light spectral quality in plant growth and development

Understanding Water-Stress Responses in Soybean Using Hydroponics System—A Systems Biology Perspective

This article discusses using a system of reduced complexity like hydroponics to identify the potential candidates for water-stress tolerance by plants

Foundations of Session Types and Behavioural Contracts

International audienceBehavioural type systems, usually associated to concurrent or distributed computations, encompass concepts such as interfaces, communication protocols, and contracts, in addition to the traditional input/output operations. The behavioural type of a software component specifies its expected patterns of interaction using expressive type languages, so that types can be used to determine automatically whether the component interacts correctly with other components. Two related important notions of behavioural types are those of session types and behavioural contracts. This paper surveys the main accomplishments of the last twenty years within these two approaches

The evolution of WRKY transcription factors

BACKGROUND: The availability of increasing numbers of sequenced genomes has necessitated a re-evaluation of the evolution of the WRKY transcription factor family. Modern day plants descended from a charophyte green alga that colonized the land between 430 and 470 million years ago. The first charophyte genome sequence from Klebsormidium flaccidum filled a gap in the available genome sequences in the plant kingdom between unicellular green algae that typically have 1-3 WRKY genes and mosses that contain 30-40. WRKY genes have been previously found in non-plant species but their occurrence has been difficult to explain. RESULTS: Only two WRKY genes are present in the Klebsormidium flaccidum genome and the presence of a Group IIb gene was unexpected because it had previously been thought that Group IIb WRKY genes first appeared in mosses. We found WRKY transcription factor genes outside of the plant lineage in some diplomonads, social amoebae, fungi incertae sedis, and amoebozoa. This patchy distribution suggests that lateral gene transfer is responsible. These lateral gene transfer events appear to pre-date the formation of the WRKY groups in flowering plants. Flowering plants contain proteins with domains typical for both resistance (R) proteins and WRKY transcription factors. R protein-WRKY genes have evolved numerous times in flowering plants, each type being restricted to specific flowering plant lineages. These chimeric proteins contain not only novel combinations of protein domains but also novel combinations and numbers of WRKY domains. Once formed, R protein WRKY genes may combine different components of signalling pathways that may either create new diversity in signalling or accelerate signalling by short circuiting signalling pathways. CONCLUSIONS: We propose that the evolution of WRKY transcription factors includes early lateral gene transfers to non-plant organisms and the occurrence of algal WRKY genes that have no counterparts in flowering plants. We propose two alternative hypotheses of WRKY gene evolution: The “Group I Hypothesis” sees all WRKY genes evolving from Group I C-terminal WRKY domains. The alternative “IIa + b Separate Hypothesis” sees Groups IIa and IIb evolving directly from a single domain algal gene separate from the Group I-derived lineage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-015-0456-y) contains supplementary material, which is available to authorized users

Label-Free Time-Gated Luminescent Detection Method for the Nucleotides with Varying Phosphate Content

A new label-free molecular probe for luminescent nucleotide detection in neutral aqueous solution is presented. Phosphate-containing molecules, such as nucleotides possess vital role in cell metabolism, energy economy, and various signaling processes. Thus, the monitoring of nucleotide concentration and nucleotide related enzymatic reactions is of high importance. Two component lanthanide complex formed from Tb(III) ion carrier and light harvesting antenna, readily distinguishes nucleotides containing different number of phosphates and enable direct detection of enzymatic reactions converting nucleotide triphosphate (NTP) to nucleotide di/monophosphate or the opposite. Developed sensor enables the detection of enzymatic activity with a low nanomolar sensitivity, as highlighted with K-Ras and apyrase enzymes in their hydrolysis assays performed in a high throughput screening compatible 384-well plate format.</p