Genetic identification of a gene involved in constitutive, high-affinity nitrate transport in higher plants.

Two mutations have been found in a gene (NRT2) of Arabidopsis thaliana that specifically impair constitutive, high-affinity nitrate uptake. These mutants were selected for resistance to 0.1 mM chlorate in the absence of nitrate. Progency from one of the backcrossed mutants showed no constitutive uptake of nitrate below 0.5 mM at pH 7.0 in liquid culture (that is, within 30 min of initial exposure to nitrate). All other uptake activities measured (high-affinity phosphate and sulfate uptake, inducible high-affinity nitrate uptake, and constitutive low-affinity nitrate uptake) were present or nearly normal in the backcrossed mutant. Electrophysiological analysis of individual root cells showed that the nrt2 mutant showed little response to 0.25 mM of nitrate, whereas NRT2 wild-type cells showed an initial depolarization followed by recovery. At 10 mM of nitrate both the mutant and wild-type cells displayed similar, strong electrical responses. These results indicate that NRT2 is a critical and perhaps necessary gene for constitutive, high-affinity nitrate uptake in Arabidopsis, but not for inducible, high-affinity nor constitutive, low-affinity nitrate uptake. Thus, these systems are genetically distinct.

Identification of interdomain sequences promoting the intronless evolution of a bacterial protein family.

In the evolution of eukaryotic genes, introns are believed to have played a major role in increasing the probability of favorable duplication events, chance recombinations, and exon shuffling resulting in functional hybrid proteins. As a rule, prokaryotic genes lack introns, and the examples of prokaryotic introns described do not seem to have contributed to gene evolution by exon shuffling. Still, certain protein families in modern bacteria evolve rapidly by recombination of genes, duplication of functional domains, and as shown for protein PAB of the anaerobic bacterial species Peptostreptococcus magnus, by the shuffling of an albumin-binding protein module from group C and G streptococci. Characterization of a protein PAB-related gene in a P. magnus strain with less albumin-binding activity revealed that the shuffled module was missing. Based on this fact and observations made when comparing gene sequences of this family of bacterial surface proteins interacting with albumin and/or immunoglobulin, a model is presented that can explain how this rapid intronless evolution takes place. A new kind of genetic element is introduced: the recer sequence promoting interdomain, in frame recombination and acting as a structure-less flexibility-promoting spacer in the corresponding protein. The data presented also suggest that antibiotics could represent the selective pressure behind the shuffling of protein modules in P. magnus, a member of the indigenous bacterial flora.

Identification of a member of the interferon regulatory factor family that binds to the interferon-stimulated response element and activates expression of interferon-induced genes.

A family of interferon (IFN) regulatory factors (IRFs) have been shown to play a role in transcription of IFN genes as well as IFN-stimulated genes. We report the identification of a member of the IRF family which we have named IRF-3. The IRF-3 gene is present in a single copy in human genomic DNA. It is expressed constitutively in a variety of tissues and no increase in the relative steady-state levels of IRF-3 mRNA was observed in virus-infected or IFN-treated cells. The IRF-3 gene encodes a 50-kDa protein that binds specifically to the IFN-stimulated response element (ISRE) but not to the IRF-1 binding site PRD-I. Overexpression of IRF-3 stimulates expression of the IFN-stimulated gene 15 (ISG15) promoter, an ISRE-containing promoter. The murine IFNA4 promoter, which can be induced by IRF-1 or viral infection, is not induced by IRF-3. Expression of IRF-3 as a Gal4 fusion protein does not activate expression of a chloramphenicol acetyltransferase reporter gene containing repeats of the Gal4 binding sites, indicating that this protein does not contain the transcription transactivation domain. The high amino acid homology between IRF-3 and ISG factor 3 gamma polypeptide (ISGF3 gamma) and their similar binding properties indicate that, like ISGF3 gamma, IRF-3 may activate transcription by complex formation with other transcriptional factors, possibly members of the Stat family. Identification of this ISRE-binding protein may help us to understand the specificity in the various Stat pathways.

Analysis of RNA-binding proteins by in vitro genetic selection: identification of an amino acid residue important for locking U1A onto its RNA target.

An in vitro genetic system was developed as a rapid means for studying the specificity determinants of RNA-binding proteins. This system was used to investigate the origin of the RNA-binding specificity of the mammalian spliceosomal protein U1A. The U1A domain responsible for binding to U1 small nuclear RNA was locally mutagenized and displayed as a combinatorial library on filamentous bacteriophage. Affinity selection identified four U1A residues in the mutagenized region that are important for specific binding to U1 hairpin II. One of these residues (Leu-49) disproportionately affects the rates of binding and release and appears to play a critical role in locking the protein onto the RNA. Interestingly, a protein variant that binds more tightly than U1A emerged during the selection, showing that the affinity of U1A for U1 RNA has not been optimized during evolution.

Identification of a putative estrogen response element in the gene encoding brain-derived neurotrophic factor.

We have been studying the role and mechanism of estrogen action in the survival and differentiation of neurons in the basal forebrain and its targets in the cerebral cortex, hippocampus, and olfactory bulb. Previous work has shown that estrogen-target neurons in these regions widely coexpress the mRNAs for the neurotrophin ligands and their receptors, suggesting a potential substrate for estrogen-neurotrophin interactions. Subsequent work indicated that estrogen regulates the expression of two neurotrophin receptor mRNAs in prototypic peripheral neural targets of nerve growth factor. We report herein that the gene encoding the neurotophin brain-derived neurotrophic factor (BDNF) contains a sequence similar to the canonical estrogen response element found in estrogen-target genes. Gel shift and DNA footprinting assays indicate that estrogen receptor-ligand complexes bind to this sequence in the BDNF gene. In vivo, BDNF mRNA was rapidly up-regulated in the cerebral cortex and the olfactory bulb of ovariectomized animals exposed to estrogen. These data suggest that estrogen may regulate BDNF transcription, supporting our hypothesis that estrogen may be in a position to influence neurotrophin-mediated cell functioning, by increasing the availability of specific neurotrophins in forebrain neurons.

Identification of a DNA element determining synaptic expression of the mouse acetylcholine receptor delta-subunit gene.

mRNAs for acetylcholine receptor genes are highly concentrated in the endplate region of adult skeletal muscle largely as a result of a transcription restricted to the subneural nuclei. To identify the regulatory elements involved, we employed a DNA injection of a plasmid containing a fragment of the acetylcholine receptor delta-subunit gene promoter (positions -839 to +45) linked to the reporter gene lacZ with a nuclear localization signal. Injection of the wild-type construct into mouse leg muscles yielded preferential expression of the reporter gene in the synaptic region. Analysis of various mutant promoters resulted in the identification of a DNA element (positions -60 to -49), referred to as the N box, that plays a critical role in subneural expression. Disruption of this 12-bp element in the context of a mouse delta-subunit promoter from positions -839 to +45 gives widespread expression of the reporter gene throughout the entire muscle fiber, indicating that this element is a silencer that represses delta-subunit gene transcription in extrajunctional areas. On the other hand, this element inserted upstream of a heterologous basal promoter preferentially enhances expression in the endplate region. This element therefore regulates the restricted expression of the delta-subunit gene both as an enhancer at the endplate level and as a silencer in extrajunctional areas. Furthermore, gel-shift experiments with mouse muscle extracts reveal an activity that specifically binds the 6-bp sequence TTCCGG of this element, suggesting that a transcription factor(s) controls the expression of the delta-subunit gene via this element.

Identification of a retroviroid-like element from plants.

The biological nature of carnation small viroid-like RNA (CarSV RNA), a 275-nt circular molecule with self-cleaving hammerhead structures in its strands of both polarities, was investigated. The lack of infectivity observed in a series of transmission assays in carnation indicates that CarSV RNA, in spite of sharing structural similarities with viroid and viroid-like satellite RNAs from plants, does not belong to either of these two groups. Additional evidence in this direction comes from the observation that CarSV RNA also exists in carnation plants as DNA tandem repeats. In this respect, CarSV RNA is similar to a small transcript of a tandemly repeated DNA sequence of the newt genome. Moreover, CarSV and newt RNAs have similarities in their sequences as well as in some characteristics of their corresponding hammerhead structures. Further analyses have revealed that CarSV DNA is found directly fused to DNA sequences of carnation etched ring caulimovirus, a pararetrovirus, most likely in the form of an extrachromosomal element. The properties of the CarSV RNA/DNA system are those of a retroviroid-like element having some features in common with viroid and viroid-like satellite RNAs from plants and others with the newt transcript.

Endogenous mutagenesis by an insertion sequence element identifies Aeromonas salmonicida AbcA as an ATP-binding cassette transport protein required for biogenesis of smooth lipopolysaccharide.

Analysis of an Aeromonas salmonicida A layer-deficient/O polysaccharide-deficient mutant carrying a Tn5 insertion in the structural gene for A protein (vapA) showed that the abcA gene immediately downstream of vapA had been interrupted by the endogenous insertion sequence element ISAS1. Immunoelectron microscopy showed that O polysaccharides did not accumulate at the inner membrane-cytoplasm interface of this mutant. abcA encodes an unusual protein; it carries both an amino-terminal ATP-binding cassette (ABC) domain showing high sequence similarity to ABC proteins implicated in the transport of certain capsular and O polysaccharides and a carboxyl-terminal potential DNA-binding domain, which distinguishes AbcA from other polysaccharide transport proteins in structural and evolutionary terms. The smooth lipopolysaccharide phenotype was restored by complementation with abcA but not by abcA carrying site-directed mutations in the sequence encoding the ATP-binding site of the protein. The genetic organization of the A. salmonicida ABC polysaccharide system differs from other bacteria. abcA also differs in apparently being required for both O-polysaccharide synthesis and in energizing the transport of O polysaccharides to the cell surface.

Multi-objective adaptive evolutionary strategy for tuning compilations

Tuning compilations is the process of adjusting the values of a compiler options to improve some features of the final application. In this paper, a strategy based on the use of a genetic algorithm and a multi-objective scheme is proposed to deal with this task. Unlike previous works, we try to take advantage of the knowledge of this domain to provide a problem-specific genetic operation that improves both the speed of convergence and the quality of the results. The evaluation of the strategy is carried out by means of a case of study aimed to improve the performance of the well-known web server Apache. Experimental results show that a 7.5% of overall improvement can be achieved. Furthermore, the adaptive approach has shown an ability to markedly speed-up the convergence of the original strategy.

A Finite Element Numerical Algorithm for Modelling and Data Fitting in Complex Systems

Numerical modelling methodologies are important by their application to engineering and scientific problems, because there are processes where analytical mathematical expressions cannot be obtained to model them. When the only available information is a set of experimental values for the variables that determine the state of the system, the modelling problem is equivalent to determining the hyper-surface that best fits the data. This paper presents a methodology based on the Galerkin formulation of the finite elements method to obtain representations of relationships that are defined a priori, between a set of variables: y = z(x1, x2,...., xd). These representations are generated from the values of the variables in the experimental data. The approximation, piecewise, is an element of a Sobolev space and has derivatives defined in a general sense into this space. The using of this approach results in the need of inverting a linear system with a structure that allows a fast solver algorithm. The algorithm can be used in a variety of fields, being a multidisciplinary tool. The validity of the methodology is studied considering two real applications: a problem in hydrodynamics and a problem of engineering related to fluids, heat and transport in an energy generation plant. Also a test of the predictive capacity of the methodology is performed using a cross-validation method.

Identification of genetic determinants associated with susceptibility and therapeutic efficacy in Philadelphia-negative Myeloproliferative Neoplasms

Poster presented at the Scientific Toxomics Meeting, 28 September 2015, Lisbon, Portugal.

Stresses in reinforced nozzle-cylinder attachments under external moment loadings analyzed by the finite-element method : a parameter study /

"ORNL/NUREG-52."

Genetic algorithm optimization of adaptive multi-scale GLCM features

We introduce a new second-order method of texture analysis called Adaptive Multi-Scale Grey Level Co-occurrence Matrix (AMSGLCM), based on the well-known Grey Level Co-occurrence Matrix (GLCM) method. The method deviates significantly from GLCM in that features are extracted, not via a fixed 2D weighting function of co-occurrence matrix elements, but by a variable summation of matrix elements in 3D localized neighborhoods. We subsequently present a new methodology for extracting optimized, highly discriminant features from these localized areas using adaptive Gaussian weighting functions. Genetic Algorithm (GA) optimization is used to produce a set of features whose classification worth is evaluated by discriminatory power and feature correlation considerations. We critically appraised the performance of our method and GLCM in pairwise classification of images from visually similar texture classes, captured from Markov Random Field (MRF) synthesized, natural, and biological origins. In these cross-validated classification trials, our method demonstrated significant benefits over GLCM, including increased feature discriminatory power, automatic feature adaptability, and significantly improved classification performance.