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Title: Characterization of Methionine Sulfoxide Reductases A and Bs from Tobacco Plant.
Creator: Ding, Di, Zhang, Xing-Hai, Florida Atlantic University
Abstract/Description: One methionine sulfoxide reductase A (TMSRA) and two methionine sulfoxide reductase Bs (TMSRB 1 and TMSRB2) were isolated from tobacco plants. TMSRA showed specificity for the reduction of Met-(S)-SO and both TMSRBs were specific for the reduction of Met-(R)-SO. TMSRA was the cytosolic form and both TMSRBs were plastid forms based on sequence comparison and expression tests. TMSRA and TMSRB2 could use either thioredoxin (TRX) or dithiothreitol (DTT) as reducing system, while TMSRB 1 showed...
Show moreOne methionine sulfoxide reductase A (TMSRA) and two methionine sulfoxide reductase Bs (TMSRB 1 and TMSRB2) were isolated from tobacco plants. TMSRA showed specificity for the reduction of Met-(S)-SO and both TMSRBs were specific for the reduction of Met-(R)-SO. TMSRA was the cytosolic form and both TMSRBs were plastid forms based on sequence comparison and expression tests. TMSRA and TMSRB2 could use either thioredoxin (TRX) or dithiothreitol (DTT) as reducing system, while TMSRB 1 showed little activity with TRX but much more activity with DTT, which was similar to the mitochondrial MSRB2 from mammals. Ferredoxin (FD) is not the reducing system for Msrs, but might reflect the redox status in the cell and control the activity of Msrs indirectly.
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Date Issued: 2006
PURL: http://purl.flvc.org/fau/fd/FA00000746
Subject Headings: Proteins--Chemical modification, Genetic regulation, Plant genetic engineering, Antioxidants
Format: Document (PDF)

Title: Progress towards genetic engineering of an EMF-responsive plasmid in yeast.
Creator: Crenshaw, Karin Ann., Florida Atlantic University, Binninger, David
Abstract/Description: Despite the many epidemiological studies which have shown some effects of EMF on biological systems, there has yet to be any data that indicates the molecular mechanisms by which this effect takes place. My goal was to genetically engineer a yeast strain that would have a clear biological effect to the EMF's. The strategy involved using a yeast strain which requires histone function from a plasmid, and the plasmid construct that has a Gal1 promoter controlling the histone function. The...
Show moreDespite the many epidemiological studies which have shown some effects of EMF on biological systems, there has yet to be any data that indicates the molecular mechanisms by which this effect takes place. My goal was to genetically engineer a yeast strain that would have a clear biological effect to the EMF's. The strategy involved using a yeast strain which requires histone function from a plasmid, and the plasmid construct that has a Gal1 promoter controlling the histone function. The plasmid construct could then be engineered to contain a promoter sequence for a known EMF-repressed gene in yeast, which would control the histone production. Without a functional histone gene, the cells will die, and the effects will be easily visualized. Although the genetic screening for the desired transformants appeared to work, the molecular analysis of those transformants did not show the promoter insertion. There are a few possible reasons for why this happened, including possible reversions from one of the original mutations of the chromosomal histone H4 genes, or the mutation of the Gal1 promoter which would no longer repress the histone H4 gene and allow the cells to grow on glucose.
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Date Issued: 1998
PURL: http://purl.flvc.org/fcla/dt/15572
Subject Headings: Electromagnetism--Physiological effect, Genetic engineering, Plasmids--Genetics
Format: Document (PDF)

Title: Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design.
Creator: Chatterjee, Sharmistha P., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This research is concerned with analyzing a set of viral genomes to elucidate the underlying characteristics and determine the information-theoretic aspects of the genomic signatures. The goal of this study thereof, is tailored to address the following: (i) Reviewing various methods available to deduce the features and characteristics of genomic sequences of organisms in general, and particularly focusing on the genomes pertinent to viruses; (ii) applying the concepts of information...
Show moreThis research is concerned with analyzing a set of viral genomes to elucidate the underlying characteristics and determine the information-theoretic aspects of the genomic signatures. The goal of this study thereof, is tailored to address the following: (i) Reviewing various methods available to deduce the features and characteristics of genomic sequences of organisms in general, and particularly focusing on the genomes pertinent to viruses; (ii) applying the concepts of information-theoretics (entropy principles) to analyze genomic sequences; (iii) envisaging various aspects of biothermodynamic energetics so as to determine the framework and architecture that decide the stability and patterns of the subsequences in a genome; (iv) evaluating the genomic details using spectral-domain techniques; (v) studying fuzzy considerations to ascertain the overlapping details in genomic sequences; (vi) determining the common subsequences among various strains of a virus by logistically regressing the data obtained via entropic, energetics and spectral-domain exercises; (vii) differentiating informational profiles of coding and non-coding regions in a DNA sequence to locate aberrant (cryptic) attributes evolved as a result of mutational changes and (viii) finding the signatures of CDS of genomes of viral strains toward rationally conceiving plausible designs of vaccines. Commensurate with the topics indicated above, necessary simulations are proposed and computational exercises are performed (with MatLabTM R2009b and other software as needed). Extensive data gathered from open-literature are used thereof and, simulation results are verified. Lastly, results are discussed, inferences are made and open-questions are identified for future research.
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Date Issued: 2013
PURL: http://purl.flvc.org/FAU/3360772
Subject Headings: Genetic engineering, Bioinformatics, Genomics, DNA microarrays, Proteomics
Format: Document (PDF)

Title: General method for the production of developmentally-arrested bivalve Trochophore larvae as a potential feed for marine fish larvae.
Creator: Scarpa, John
Date Issued: 2002
PURL: http://purl.flvc.org/fau/fd/FA00007049
Subject Headings: Bivalves, Fishes--Larvae, Trochophore, Genetic engineering, Live food
Format: Document (PDF)

Title: Applications of evolutionary algorithms in mechanical engineering.
Creator: Nelson, Kevin M., Florida Atlantic University, Huang, Ming Z., College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description: Many complex engineering designs have conflicting requirements that must be compromised to effect a successful product. Traditionally, the engineering approach breaks up the complex problem into smaller sub-components in known areas of study. Tradeoffs occur between the conflicting requirements and a sub-optimal design results. A new computational approach based on the evolutionary processes observed in nature is explored in this dissertation. Evolutionary algorithms provide methods to solve...
Show moreMany complex engineering designs have conflicting requirements that must be compromised to effect a successful product. Traditionally, the engineering approach breaks up the complex problem into smaller sub-components in known areas of study. Tradeoffs occur between the conflicting requirements and a sub-optimal design results. A new computational approach based on the evolutionary processes observed in nature is explored in this dissertation. Evolutionary algorithms provide methods to solve complex engineering problems by optimizing the entire system, rather than sub-components of the system. Three standard forms of evolutionary algorithms have been developed: evolutionary programming, genetic algorithms and evolution strategies. Mathematical and algorithmic details are described for each of these methods. In this dissertation, four engineering problems are explored using evolutionary programming and genetic algorithms. Exploiting the inherently parallel nature of evolution, a parallel version of evolutionary programming is developed and implemented on the MasPar MP-1. This parallel version is compared to a serial version of the same algorithm in the solution of a trial set of unimodal and multi-modal functions. The parallel version had significantly improved performance over the serial version of evolutionary programming. An evolutionary programming algorithm is developed for the solution of electronic part placement problems with different assembly devices. The results are compared with previously published results for genetic algorithms and show that evolutionary programming can successfully solve this class of problem using fewer genetic operators. The finite element problem is cast into an optimization problem and an evolutionary programming algorithm is developed to solve 2-D truss problems. A comparison to LU-decomposition showed that evolutionary programming can solve these problems and that it has the capability to solve the more complex nonlinear problems. Finally, ordinary differential equations are discretized using finite difference representation and an objective function is formulated for the application of evolutionary programming and genetic algorithms. Evolutionary programming and genetic algorithms have the benefit of permitting over-constraining a problem to obtain a successful solution. In all of these engineering problems, evolutionary algorithms have been shown to offer a new solution method.
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Date Issued: 1997
PURL: http://purl.flvc.org/fcla/dt/12514
Subject Headings: Mechanical engineering, Genetic algorithms, Evolutionary programming (Computer science)
Format: Document (PDF)

Title: Software reliability engineering: An evolutionary neural network approach.
Creator: Hochman, Robert., Florida Atlantic University, Khoshgoftaar, Taghi M.
Abstract/Description: This thesis presents the results of an empirical investigation of the applicability of genetic algorithms to a real-world problem in software reliability--the fault-prone module identification problem. The solution developed is an effective hybrid of genetic algorithms and neural networks. This approach (ENNs) was found to be superior, in terms of time, effort, and confidence in the optimality of results, to the common practice of searching manually for the best-performing net. Comparisons...
Show moreThis thesis presents the results of an empirical investigation of the applicability of genetic algorithms to a real-world problem in software reliability--the fault-prone module identification problem. The solution developed is an effective hybrid of genetic algorithms and neural networks. This approach (ENNs) was found to be superior, in terms of time, effort, and confidence in the optimality of results, to the common practice of searching manually for the best-performing net. Comparisons were made to discriminant analysis. On fault-prone, not-fault-prone, and overall classification, the lower error proportions for ENNs were found to be statistically significant. The robustness of ENNs follows from their superior performance over many data configurations. Given these encouraging results, it is suggested that ENNs have potential value in other software reliability problem domains, where genetic algorithms have been largely ignored. For future research, several plans are outlined for enhancing ENNs with respect to accuracy and applicability.
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Date Issued: 1997
PURL: http://purl.flvc.org/fcla/dt/15474
Subject Headings: Neural networks (Computer science), Software engineering, Genetic algorithms
Format: Document (PDF)

Title: Enhancement of nutrional value in tomato plants.
Creator: Hill, William, Zhang, Xing-Hai
Date Issued: 2013-04-05
PURL: http://purl.flvc.org/fcla/dt/3361091
Subject Headings: Tomatoes, Tomatoes--Nutrition, Lysine, Plant genetic engineering, Genetically modified foods
Format: Document (PDF)

Title: Creation of an aconitase overexpression strain of Saccharomyces cerevisiae for lifespan analysis.
Creator: Nunes, Steve., Harriet L. Wilkes Honors College
Abstract/Description: In my thesis work, I attempted to construct a plasmid that would allow stable integration of genes into the Saccharomyces cerevisiae yeast genome under the control of the repressible TetO promoter. The yeast ACO1 gene was cloned under the control of the TetO operator and the tTA transactivator. This construct was inserted into yeast cells in order to observe the effects of aconitase overexpression on aging. Unfortunately, the transformed cells appeared incapable of aconitase expression as...
Show moreIn my thesis work, I attempted to construct a plasmid that would allow stable integration of genes into the Saccharomyces cerevisiae yeast genome under the control of the repressible TetO promoter. The yeast ACO1 gene was cloned under the control of the TetO operator and the tTA transactivator. This construct was inserted into yeast cells in order to observe the effects of aconitase overexpression on aging. Unfortunately, the transformed cells appeared incapable of aconitase expression as determined by glutamic acid auxptrophy, a phenotype of aconitase mutants. We have sequenced the pIT1ACO1 plasmid and have found many abnormalities in the promoter region. If the plasmid can be made to function as intended, the resulting yeast strain can be used in the future to determine if aconitase plays an important role in cellular aging.
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Date Issued: 2012
PURL: http://purl.flvc.org/FAU/3359306
Subject Headings: Yeast fungi, Research, Methodology, Microbial genetics, Genetic engineering, Aging, Molecular aspects, Cell metabolism, Mutation (Biology)
Format: Document (PDF)

Title: Biological Computation: the development of a genomic analysis pipeline to identify cellular genes modulated by the transcription / splicing factor srsf1.
Creator: Clark, Evan, Asghar, Waseem, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: SRSF1 is a widely expressed mammalian protein with multiple functions in the regulation of gene expression through processes including transcription, mRNA splicing, and translation. Although much is known of SRSF1 role in alternative splicing of specific genes little is known about its functions as a transcription factor and its global effect on cellular gene expression. We utilized a RNA sequencing (RNA-¬‐Seq) approach to determine the impact of SRSF1 in on cellular gene expression and...
Show moreSRSF1 is a widely expressed mammalian protein with multiple functions in the regulation of gene expression through processes including transcription, mRNA splicing, and translation. Although much is known of SRSF1 role in alternative splicing of specific genes little is known about its functions as a transcription factor and its global effect on cellular gene expression. We utilized a RNA sequencing (RNA-¬‐Seq) approach to determine the impact of SRSF1 in on cellular gene expression and analyzed both the short term (12 hours) and long term (48 hours) effects of SRSF1 expression in a human cell line. Furthermore, we analyzed and compared the effect of the expression of a naturally occurring deletion mutant of SRSF1 (RRM12) to the full-¬‐length protein. Our analysis reveals that shortly after SRSF1 is over-¬‐expressed the transcription of several histone coding genes is down-¬‐regulated, allowing for a more relaxed chromatin state and efficient transcription by RNA Polymerase II. This effect is reversed at 48 hours. At the same time key genes for the immune pathways are activated, more notably Tumor Necrosis Factor-¬‐Alpha (TNF-¬‐α), suggesting a role for SRSF1 in T cell functions.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004858, http://purl.flvc.org/fau/fd/FA00004858
Subject Headings: Gene expression., Computational biology., Markov processes., Bioinformatics., Genetic engineering., Molecular biology.
Format: Document (PDF)

Title: Software reliability engineering with genetic programming.
Creator: Liu, Yi., Florida Atlantic University, Khoshgoftaar, Taghi M., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Software reliability engineering plays a vital role in managing and controlling software quality. As an important method of software reliability engineering, software quality estimation modeling is useful in defining a cost-effective strategy to achieve a reliable software system. By predicting the faults in a software system, the software quality models can identify high-risk modules, and thus, these high-risk modules can be targeted for reliability enhancements. Strictly speaking, software...
Show moreSoftware reliability engineering plays a vital role in managing and controlling software quality. As an important method of software reliability engineering, software quality estimation modeling is useful in defining a cost-effective strategy to achieve a reliable software system. By predicting the faults in a software system, the software quality models can identify high-risk modules, and thus, these high-risk modules can be targeted for reliability enhancements. Strictly speaking, software quality modeling not only aims at lowering the misclassification rate, but also takes into account the costs of different misclassifications and the available resources of a project. As a new search-based algorithm, Genetic Programming (GP) can build a model without assuming the size, shape, or structure of a model. It can flexibly tailor the fitness functions to the objectives chosen by the customers. Moreover, it can optimize several objectives simultaneously in the modeling process, and thus, a set of multi-objective optimization solutions can be obtained. This research focuses on building software quality estimation models using GP. Several GP-based models of predicting the class membership of each software module and ranking the modules by a quality factor were proposed. The first model of categorizing the modules into fault-prone or not fault-prone was proposed by considering the distinguished features of the software quality classification task and GP. The second model provided quality-based ranking information for fault-prone modules. A decision tree-based software classification model was also proposed by considering accuracy and simplicity simultaneously. This new technique provides a new multi-objective optimization algorithm to build decision trees for real-world engineering problems, in which several trade-off objectives usually have to be taken into account at the same time. The fourth model was built to find multi-objective optimization solutions by considering both the expected cost of misclassification and available resources. Also, a new goal-oriented technique of building module-order models was proposed by directly optimizing several goals chosen by project analysts. The issues of GP , bloating and overfitting, were also addressed in our research. Data were collected from three industrial projects, and applied to validate the performance of the models. Results indicate that our proposed methods can achieve useful performance results. Moreover, some proposed methods can simultaneously optimize several different objectives of a software project management team.
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Date Issued: 2003
PURL: http://purl.flvc.org/fau/fd/FADT12047
Subject Headings: Computer software--Quality control, Genetic programming (Computer science), Software engineering
Format: Document (PDF)

Title: The expression and analysis of a lysine-rich wound-response protein in tomato plants.
Creator: Kaplan, Noah, Zhang, Xing-Hai, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Biological Sciences
Abstract/Description: Understanding the genetic regulation of the response to wounding and wound healing in fruiting plants is imperative to maintaining agricultural sustainability, preserving the quality of food supplies, and ensuring the economic viability of agriculture. Many genes are known to be induced by wounding, providing both structural repair and defense. The KED gene in tobacco (Nicotiana tabacum) has been shown to be induced by wounding. We have identified its homologue gene in tomato (Solanum...
Show moreUnderstanding the genetic regulation of the response to wounding and wound healing in fruiting plants is imperative to maintaining agricultural sustainability, preserving the quality of food supplies, and ensuring the economic viability of agriculture. Many genes are known to be induced by wounding, providing both structural repair and defense. The KED gene in tobacco (Nicotiana tabacum) has been shown to be induced by wounding. We have identified its homologue gene in tomato (Solanum lycopersicum) that we named SlKED. We have analyzed gene expression pattern of SlKED through tomato growth and development and in response to wounding as well as hormonal and inhibitor treatments. We found that the plant hormone ethylene played a major role in the expression of SlKED. To further identify evidence for physiological and transductional functions of KED and SlKED, the tobacco KED gene was introduced to tomato and overexpressed by the fruit tissue-active PUN1 promoter from pepper (Capsicum annuum,). The expression of this gene was compared to the expression of the native SlKED gene and other known wound response genes in both the wild-type and transgenic tomato plants. The upregulation of the native SlKED gene by wounding was significantly muted in the tobacco KED-expressing transgenic plants. The expression of other genes known to be associated with wound response transduction pathways was also altered. Our studies implicate the KED gene in defense mechanisms for mechanical stress in tomato plants.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004773, http://purl.flvc.org/fau/fd/FA00004773
Subject Headings: Wound healing., Wounds and injuries--Genetic aspects., Plant gene expression., Plant genetic regulation., Nanostructured materials--Physiological effect., Biomedical engineering.
Format: Document (PDF)

Title: Cyclic lipodepsipeptides as lead structures for the discovery of new antiobiotics.
Creator: Bionda, Nina., Charles E. Schmidt College of Science, Department of Chemistry and Biochemistry
Abstract/Description: With antimicrobial resistance to current drugs steadily rising, the development of new antibiotics with novel mechanisms of action has become an imperative. The majority of life-threatening infections worldwide are caused by "ESKAPE" pathogens which are encountered in more than 40% of hospital-acquired infections, and are resistant to the majority of commonly used antibiotics. Naturally occurring cyclic depsipeptides, microbial secondary metabolites that contain one or more ester bonds in...
Show moreWith antimicrobial resistance to current drugs steadily rising, the development of new antibiotics with novel mechanisms of action has become an imperative. The majority of life-threatening infections worldwide are caused by "ESKAPE" pathogens which are encountered in more than 40% of hospital-acquired infections, and are resistant to the majority of commonly used antibiotics. Naturally occurring cyclic depsipeptides, microbial secondary metabolites that contain one or more ester bonds in addition to amide bonds, have emerged as an important source of pharmacologically active compounds or lead structures for the development of novel antibiotics. Some of those peptides are either already marketed (daptomycin) or in advanced stages of clinical development (ramoplanin). Structurally simple, yet potent, fusaricidin/LI-F and lysobactin families of naturally occurring antibiotics represent particularly attractive candidates for the development of new antibacterial agents capable of overco ming infections caused by multidrug-resistant bacteria. These natural products exhibit potent antimicrobial activity against a variety of clinically relevant fungi and Gram-positive bacteria. Therefore, access to these classes of natural products and their synthetic analogs, combined with elucidation of their mode of action represent important initial steps toward full exploitation of their antmicrobial potential. This dissertation describes a general approach toward the solid-phase synthesis of fusaricidin/LI-F and lysobactin analogs and an extensive structure-activity relationship (SAR) study. We have devised a simple and robust preparation strategy based on standard Fmoc solid-phase peptide synthesis protocols., The SAR study revealed key structural requirements for fusaricidin/LI-F and related cyclic lipopeptides antibacterial activity, including the presence of the guanidino moietly at the end of the lipidic tail, hydrophobic amino acid residues, and peptide conformation Moreover, substitution of the ester bond with an amide bond significantly improved stability under physiologically relevant conditions and reduced toxicity. In addition, we have shown that these antibacterial peptides exert their mode of action via a novel mechanism, which invloves bacterial membrane interactions, followed by peptide internalization. Altogether, the research described in this dissertation demonstrates that new antibiotics derived from fusaricidin/LI-F natural products, have the potential to meet the challenge of antibiotic resistance in Gram-positive bacteria.
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Date Issued: 2013
PURL: http://purl.flvc.org/FAU/3360768
Subject Headings: Microbial peptides, Drugs, Design, Peptides, Therapeutic use, Genetic engineering, Antibacterial agents, Peptide antibiotics, Research, Methodology, Peptide antibiotics, Analysis
Format: Document (PDF)

Title: CBR-based software quality models and quality of data.
Creator: Xiao, Yudong., Florida Atlantic University, Khoshgoftaar, Taghi M., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The performance accuracy of software quality estimation models is influenced by several factors, including the following two important factors: performance of the prediction algorithm and the quality of data. This dissertation addresses these two factors, and consists of two components: (1) a proposed genetic algorithm (GA) based optimization of software quality models for accuracy enhancement, and (2) a proposed partitioning- and rule-based filter (PRBF) for noise detection toward...
Show moreThe performance accuracy of software quality estimation models is influenced by several factors, including the following two important factors: performance of the prediction algorithm and the quality of data. This dissertation addresses these two factors, and consists of two components: (1) a proposed genetic algorithm (GA) based optimization of software quality models for accuracy enhancement, and (2) a proposed partitioning- and rule-based filter (PRBF) for noise detection toward improvement of data quality. We construct a generalized framework of our embedded GA-optimizer, and instantiate the GA-optimizer for three optimization problems in software quality engineering: parameter optimization for case-based reasoning (CBR) models; module rank optimization for module-order modeling (MOM); and structural optimization for our multi-strategy classification modeling approach, denoted RB2CBL. Empirical case studies using software measurement data from real-world software systems were performed for the optimization problems. The GA-optimization approaches improved software quality prediction accuracy, highlighting the practical benefits of using GA for solving optimization problems in software engineering. The proposed noise detection approach, PRBF, was empirically evaluated using data categorized into two classes. Empirical studies on artificially corrupted datasets and datasets with known (natural) noise demonstrated that PRBF can effectively detect both artificial and natural noise. The proposed filter is a stable and robust technique, and always provided optimal or near-optimal noise detection results. In addition, it is applicable on datasets with nominal and numerical attributes, as well as those with missing values. The PRBF technique supports two methods of noise detection: class noise detection and cost-sensitive noise detection. The former is an easy-to-use method and does not need parameter settings, while the latter is suited for applications where each class has a specific misclassification cost. PRBF can also be used iteratively to investigate the two general types of data noise: attribute and class noise.
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Date Issued: 2005
PURL: http://purl.flvc.org/fcla/dt/12141
Subject Headings: Computer software--Quality control, Genetic programming (Computer science), Software engineering, Case-based reasoning, Combinatorial optimization, Computer network architecture
Format: Document (PDF)

Title: Engineering of tissue inhibitor of metalloproteinases mutants as potential therapeutics.
Creator: Nagase, Hideaki, Brew, Keith
Abstract/Description: Matrix metalloproteinases (MMPs) play a central role in many biological processes such as development, morphogenesis and wound healing, but their unbalanced activities are implicated innumerous disease processes such as arthritis, cancer metastasis, atherosclerosis, nephritis and fibrosis. One of the key mechanisms to control MMP activities is inhibition by endogenous inhibitors called tissue inhibitors of metalloproteinases (TIMPs). This review highlights the structures and inhibition...
Show moreMatrix metalloproteinases (MMPs) play a central role in many biological processes such as development, morphogenesis and wound healing, but their unbalanced activities are implicated innumerous disease processes such as arthritis, cancer metastasis, atherosclerosis, nephritis and fibrosis. One of the key mechanisms to control MMP activities is inhibition by endogenous inhibitors called tissue inhibitors of metalloproteinases (TIMPs). This review highlights the structures and inhibition mechanism of TIMPs, the biological activities of TIMPs, the unique properties of TIMP-3, and the altered specificity towards MMPs achieved by mutagenesis. A potential therapeutic use of TIMP variants is discussed.
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Date Issued: 2002-04-02
PURL: http://purl.flvc.org/fcla/dt/3327266
Subject Headings: Gene Therapy --Methods, Genetic Engineering --methods, Protein Structure, Tertiary, Rheumatic Diseases --therapy, Tissue Inhibitor of Metalloproteinases, Wound Healing --physiology, Metalloproteinases --Inhibitors --Therapeutic use
Format: Document (PDF)

Title: Nitrate Use Efficiency In Tobacco Plants Constitutively Expressing A Maize Nitrate Transporter ZmNRT2.1.
Creator: Cruz, Jessica, Zhang, Xing-Hai, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Biological Sciences
Abstract/Description: The NRT2 (high affinity nitrate transporter 2) family is a part of the iHATS (inducible high affinity system) that studies have shown is responsible for the influx of nitrate into the plant cell after provision of nitrate. The ZmNRT2.1 from Zea mays was constitutively expressed in Nicotiana tabacum. To assess how over-expression of this foreign NRT2.1 affects nitrate influx by plants, nitrate content in leaf and root tissue, gene expression, and vegetal growth were analyzed in media with...
Show moreThe NRT2 (high affinity nitrate transporter 2) family is a part of the iHATS (inducible high affinity system) that studies have shown is responsible for the influx of nitrate into the plant cell after provision of nitrate. The ZmNRT2.1 from Zea mays was constitutively expressed in Nicotiana tabacum. To assess how over-expression of this foreign NRT2.1 affects nitrate influx by plants, nitrate content in leaf and root tissue, gene expression, and vegetal growth were analyzed in media with deficient or high nitrate concentrations (0.1, 1, or 10 mM). Compared to wild type plants: the transgenic lines had a significantly larger fresh weight in all nitrate conditions; primary root length was significantly longer in the 0.1 and 1 mM nitrate conditions; both the fresh weight and the primary root length were significantly higher when 50 mM NaCl was applied as a stress factor to medias containing 0.1 and 10 mM nitrate.
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Date Issued: 2015
PURL: http://purl.flvc.org/fau/fd/FA00004492, http://purl.flvc.org/fau/fd/FA00004492
Subject Headings: Nitrogen--Fixation., Nitrogen-fixing plants--Metabolism., Crops and nitrogen., Field crops--Genetic engineering., Plants--Effect of nitrogen on., Soil microbiology.
Format: Document (PDF)

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