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Transfer of plasmids by genetically-engineered Erwinia carotovoraComeaux, Jay Louis 21 November 2012 (has links)
The ability of a genetically-engineered <i>Erwirzia carotovora</i> subsp. <i>carotovora</I> (Ecc) strain to transfer recombinant chromosomal DNA or plasmids to wildtype Ecc or <i>Pseudomonas fluorescens</i> was tested on filters, within soil microcosms, and <i>in planta</i>. Ecc was engineered by chromosomal insertion of a disarmed <i>endo</i>-pectate lyase gene marked with a 1.4kb DNA fragment conferring kanamycin resistance. Plasmids RPI and pBR322 were introduced separately into engineered Ecc clones. These strains served as donors in genetic transfer experiments. No transfer of the inserted kan marker or of pBR322 was observed under any experimental condition. In filter matings, RPI was transferred to wildtype Ecc at a frequency of 3.6 X 10⁻² transconjugants per donor (TPD) and to P. <i>fluorescens</i> at a frequency of 2.4 X 10⁻⁵ TPD. In matings conducted in potato tubers inoculated using sewing needles, the respective frequencies were 4.0 X 10⁻³ and 2.0 X 10⁻³, while matings on potato slices yielded frequencies of 4.7 X 10⁻² and 2.3 X 10⁻². In soil microcosms, the maximum transfer frequencies observed were 2.3 X 10³ and 8.4 X 10⁻⁵ TPD. / Master of Science
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Prevention of antibiosis and liberation of retained organisms as important factors in the comparative plate count of bacteria in soilsWilson, Shoria Gayle January 1939 (has links)
Master of Science
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The Impact of Undergraduate Research Experiences on the Development of Biology Students’ Domain Knowledge, Domain Interest, and Career AspirationsKeagy, Amy Haddock 01 January 2019 (has links)
Federal and state agencies in the United States have pressured institutions in higher education to increase the number of graduates in STEM disciplines and supply an educated workforce for the increasing shortages in the STEM economy. Undergraduate research experience is one potential mechanism for supporting retention and student success within STEM disciplines. Most evaluations of the impact of undergraduate research to this point have been qualitative research studies. The purpose of this study was to use a quantitative model to examine domain knowledge, domain interest, and career aspirations in undergraduate biology majors and how participation in research experiences may impact each of these aspects. Path analysis was performed with data collected from an online survey that was administered to six upper level biology courses during one semester. Domain interest and career aspirations was the only significant relation in the path model. Research experiences may indirectly impact career aspirations by increasing domain interest, but additional work is needed to examine this relationship. Stakeholders in undergraduate research at institutions may consider the implications of this study as they develop policies to reduce barriers for student participation in research.
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Insights into isogenic clonal fish line development using high-throughput sequencing technologiesOral, Münevver January 2016 (has links)
Isogenic clonal fish lines are a powerful resource for aquaculture-related research. Fully inbred individuals, clone founders, can be produced either through mitotic gynogenesis or androgenesis and a further generation from those propagates fully inbred clonal lines. Despite rapid generation, as opposed to successive generation of sibling mating as in mice, the production of such lines may be hampered due to (i) potential residual contribution from irradiated gametes associated with poorly optimised protocols, (ii) reduced survival of clone founders and (iii) spontaneous arisal of meiotic gynogenetics with varying degree of heterozygosity, contaminating fully homozygous progenies. This research set out to address challenges and gain insights into isogenic clonal fish lines development by using double-digest RADseq (ddRADseq) to generate large numbers of genetic markers covering the genome of interest. Analysis of potential contribution from irradiated sperm indicated successful uniparental inheritance in meiotic and mitotic gynogenetics European seabass. Exclusive transmission of maternal alleles was detected in G1 progeny of Atlantic salmon (with a duplicated genome), while G2 progenies presented varying levels of sire contribution suggesting sub-optimal UV irradiation which was undetected previously with 27 microsatellite markers. Identification of telomeric markers in European seabass, with higher recombination frequencies for efficient differentiation of meiotic and mitotic gynogenetics was successful, and a genetic linkage map was generated from this data. One clear case of a spontaneous meiotic gynogenetic fish was detected among 18 putative DH fish in European seabass, despite earlier screening for isogenicity using 11 microsatellite markers. An unidentified larval DNA restriction digestion inhibition mechanism observed in Nile tilapia prevented the construction of SNP-based genetic linkage map. In summary, this study provides strong evidence on efficacy of NGS technologies for the development and verification of isogenic clonal fish lines. Reliable establishment of isogenic clonal fish lines is critical for their utility as a research tool.
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Attitudes Toward Teaching and Research Among Biology Faculty in Texas Institutions of Higher EducationSalehi, Faiz 12 1900 (has links)
This study investigated the attitudes toward teaching and research among biology faculty in Texas institutions of higher learning. The purposes of the study were to: 1) determine what the attitudes of Texas biology faculty were toward teaching; 2) to determine the attitudes of Texas biology faculty toward research; 3) to determine if biology faculty attitudes toward teaching vary according to faculty rank; 4) to determine if biology faculty attitudes toward research vary according to faculty rank; 5) to determine if attitudes of biology faculty in Texas toward teaching vary according to institutional type; and 6) to determine if attitudes of biology faculty in Texas toward research vary according to institutional type.
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Investigating the Biosynthetic Pathways to Polyacetylenic Natural Products in Fistulina hepatica and Echinacea purpureaRansdell, Anthony S. 20 August 2013 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Polyacetylenic natural products, compounds containing multiple carbon-carbon triple bonds, have been found in a large collection of organisms. Radiochemical tracer studies have indicated that these bioactive metabolites are synthesized from fatty acid precursors through a series of uncharacterized desaturation and acetylenation steps. To date, there are three main pathways believed to be involved in acetylenic natural product biosynthesis. However, it is apparent that the crepenynic acid pathway is the origin of a vast majority of the known plant and fungal acetylenic products.
This investigation provides concrete evidence that the polyacetylenic natural products found in the fungus Fistulina hepatica and the medicinal plant species Echinacea purpurea are biosynthesized from crepenynic acid. Through heterologous expression in Yarrowia lipolytica, two acetylenases capable of producing crepenynic acid were identified from E. purpurea. Furthermore, heterologous expression of two diverged desaturases isolated from F. hepatica, uncovered a ∆12-acetylenase and the first multifunctional enzyme capable of ∆14-/∆16- desaturation and ∆14-acetylenation.
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System biology modeling : the insights for computational drug discoveryHuang, Hui January 2014 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Traditional treatment strategy development for diseases involves the identification of target proteins related to disease states, and the interference of these proteins with drug molecules. Computational drug discovery and virtual screening from thousands of chemical compounds have accelerated this process. The thesis presents a comprehensive framework of computational drug discovery using system biology approaches. The thesis mainly consists of two parts: disease biomarker identification and disease treatment discoveries. The first part of the thesis focuses on the research in biomarker identification for human diseases in the post-genomic era with an emphasis in system biology approaches such as using the protein interaction networks. There are two major types of biomarkers: Diagnostic Biomarker is expected to detect a given type of disease in an individual with both high sensitivity and specificity; Predictive Biomarker serves to predict drug response before treatment is started. Both are essential before we even start seeking any treatment for the patients. In this part, we first studied how the coverage of the disease genes, the protein interaction quality, and gene ranking strategies can affect the identification of disease genes. Second, we addressed the challenge of constructing a central database to collect the system level data such as protein interaction, pathway, etc. Finally, we built case studies for biomarker identification for using dabetes as a case study. The second part of the thesis mainly addresses how to find treatments after disease identification. It specifically focuses on computational drug repositioning due to its low lost, few translational issues and other benefits. First, we described how to implement literature mining approaches to build the disease-protein-drug connectivity map and demonstrated its superior performances compared to other existing applications. Second, we presented a valuable drug-protein directionality database which filled the research gap of lacking alternatives for the experimental CMAP in computational drug discovery field. We also extended the correlation based ranking algorithms by including the underlying topology among proteins. Finally, we demonstrated how to study drug repositioning beyond genomic level and from one dimension to two dimensions with clinical side effect as prediction features.
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A phytochemical and biological investigation of Sutherlandia FrutescensFaleschini, Maria Teresa 06 1900 (has links)
Since ancient times, indigenous plants have been used by traditional healers for treating
various ailments. Sutherlandia frutescens is one of the most commonly used medicinal plants
of southern Africa. This widely distributed plant has been traditionally used to treat cancer
and HIV patients; however scientific validation is still in high demand. This research aimed to
phytochemically characterise the various extracts prepared and to determine if any
chemotypes were present. Subsequent biological characterisation was carried out to
preliminary ascertain whether this medicinal plant could have anti-cancer and/or immunemodulating
properties and which compounds might be responsible for these actions.
Various traditional and organic extracts were prepared. Extracts, fractions and compounds
generated were analysed and chemical profiles obtained. Column chromatographic techniques
were used to isolate and purify compounds and structure elucidation was carried out using
various analytical techniques. Sulforhodamine B and cytometric bead array assays were
performed to determine the biological activities of samples generated. / Life and Consumer Sciences / (M. Sc. (Life Sciences)
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A phytochemical and biological investigation of Sutherlandia FrutescensFaleschini, Maria Teresa 06 1900 (has links)
Since ancient times, indigenous plants have been used by traditional healers for treating
various ailments. Sutherlandia frutescens is one of the most commonly used medicinal plants
of southern Africa. This widely distributed plant has been traditionally used to treat cancer
and HIV patients; however scientific validation is still in high demand. This research aimed to
phytochemically characterise the various extracts prepared and to determine if any
chemotypes were present. Subsequent biological characterisation was carried out to
preliminary ascertain whether this medicinal plant could have anti-cancer and/or immunemodulating
properties and which compounds might be responsible for these actions.
Various traditional and organic extracts were prepared. Extracts, fractions and compounds
generated were analysed and chemical profiles obtained. Column chromatographic techniques
were used to isolate and purify compounds and structure elucidation was carried out using
various analytical techniques. Sulforhodamine B and cytometric bead array assays were
performed to determine the biological activities of samples generated. / Life and Consumer Sciences / (M. Sc. (Life Sciences)
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Computational development of regulatory gene set networks for systems biology applicationsSuphavilai, Chayaporn January 2014 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / In systems biology study, biological networks were used to gain insights into biological systems. While the traditional approach to studying biological networks is based on the identification of interactions among genes or the identification of a gene set ranking according to differentially expressed gene lists, little is known about interactions between higher order biological systems, a network of gene sets. Several types of gene set network have been proposed including co-membership, linkage, and co-enrichment human gene set networks. However, to our knowledge, none of them contains directionality information. Therefore, in this study we proposed a method to construct a regulatory gene set network, a directed network, which reveals novel relationships among gene sets. A regulatory gene set network was constructed by using publicly available gene regulation data. A directed edge in regulatory gene set networks represents a regulatory relationship from one gene set to the other gene set. A regulatory gene set network was compared with another type of gene set network to show that the regulatory network provides additional information. In order to show that a regulatory gene set network is useful for understand the underlying mechanism of a disease, an Alzheimer's disease (AD) regulatory gene set network was constructed.
In addition, we developed Pathway and Annotated Gene-set Electronic Repository (PAGER), an online systems biology tool for constructing and visualizing gene and gene set networks from multiple gene set collections. PAGER is available at http://discern.uits.iu.edu:8340/PAGER/. Global regulatory and global co-membership gene set networks were pre-computed. PAGER contains 166,489 gene sets, 92,108,741 co-membership edges, 697,221,810 regulatory edges, 44,188 genes, 651,586 unique gene regulations, and 650,160 unique gene interactions. PAGER provided several unique features including constructing regulatory gene set networks, generating expanded gene set networks, and constructing gene networks within a gene set.
However, tissue specific or disease specific information was not considered in the disease specific network constructing process, so it might not have high accuracy of presenting the high level relationship among gene sets in the disease context. Therefore, our framework can be improved by collecting higher resolution data, such as tissue specific and disease specific gene regulations and gene sets. In addition, experimental gene expression data can be applied to add more information to the gene set network. For the current version of PAGER, the size of gene and gene set networks are limited to 100 nodes due to browser memory constraint. Our future plans is integrating internal gene or proteins interactions inside pathways in order to support future systems biology study.
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