No description available.

No description available.

No description available.

No description available.

No description available.

Fungi, diverse and impactful organisms, exert both beneficial and harmful effects on plants, animals, and humans. Certain fungi produce auxin or indole-3-acetic acid (IAA), a crucial plant growth hormone that influences various aspects of plant growth and defense mechanisms. Conversely, pathogenic fungi can produce auxin and manipulate auxin signaling in their host plant to promote fungal virulence and infection progression. Targeting the auxin signaling pathway in pathogenic fungi offers a novel strategy for combating fungal infections in both plants and humans. Nevertheless, the auxin biosynthesis pathway and the role of auxin in fungal symbioses is not fully understood, in part, due to the lack of a tool for measuring intracellular auxin with high spatial and temporal resolution. This dissertation presents the first genetically encoded biosensor engineered from the E3 ubiquitin ligase to detect and quantify intracellular auxin in a Saccharomyces cerevisiae model. The biosensor has been applied to begin studying auxin metabolism and biosynthesis in yeast as well as better understand the plant auxin co-receptor proteins from which it is built. Additionally, the biosensor is re-engineered for application in inducible protein degradation, controlled by auxin. This tool could be applied to identify novel protein targets for disrupting pathogenic fungal species. Overall, this research offers valuable tool and platform for studying auxin biosynthesis pathway, plant protein and auxin signaling as well as intracellular proteins in fungi. / Doctor of Philosophy / Fungi affect plants, animals, and humans, in both beneficial and harmful ways. Some fungi aid other organisms, while others cause illness. Certain fungi produce a hormone called auxin, or indole-3-acetic acid (IAA), which is essential for plant growth and many environmental responses. Auxin can also assist plants in defending against harmful fungi. Conversely, fungi that infect plants can utilize auxin to promote their own growth and spread. Some fungi even produce auxin, possibly aiding in their colonization of plants. In human fungal infection, it is suggested that auxin may be involved in virulent traits and disease progression. Targeting the auxin signaling pathway in harmful fungi presents an innovative approach to combat fungal infections in both plants and humans. However, our understanding of fungal auxin biosynthesis pathways and their role in fungal infections are not fully understood due to the lack of tools to measure auxin in cells efficiently and accurately. This study introduces the first biological tool, called a biosensor, engineered from auxin responsive proteins from plants, to detect and measure intracellular auxin in Baker's yeast. The biosensor has been used to investigate auxin production by yeast. Additionally, the biosensor has been re-engineered for application in inducible protein degradation, controlled by auxin. This tool could be applied to identify novel protein targets for disrupting pathogenic fungal species. Overall, this research provides useful tool and platform to study auxin production, plant protein function and particular proteins in fungi.

Combinatorial approaches in metabolic engineering can make use of randomized mutations and/or overexpression of randomized DNA fragments. When DNA fragments are obtained from a common genome or metagenome and packaged into the same expression vector, this is referred to as a DNA library. Generating quality DNA libraries that incorporate broad genetic diversity is challenging, despite the availability of published protocols. In response, a novel, efficient, and reproducible technique for creating DNA libraries was created in this research based on whole genome amplification using degenerate oligonucleotide primed PCR (DOP-PCR). The approach can produce DNA libraries from nanograms of a template genome or the metagenome of multiple microbial populations. The DOP-PCR primers contain random bases, and thermodynamics of hairpin formation was used to design primers capable of binding randomly to template DNA for amplification with minimal bias. Next-generation high-throughput sequencing was used to determine the design is capable of amplifying up to 98% of template genomic DNA and consistently out-performed other DOP-PCR primers. Application of these new DOP-PCR amplified DNA libraries was demonstrated in multiple strain enrichments to isolate genetic library fragments capable of (i) increasing tolerance of E. coli ER2256 to toxic levels of 1-butanol by doubling the growth rate of the culture, (ii) redirecting metabolism to ethanol and pyruvate production (over 250% increase in yield) in Clostridium cellulolyticum when consuming cellobiose, and (iii) enhancing L-arginine production when used in conjunction with a new synthetic gene circuit. / Ph. D.

Pheromone lures and trap crops are appealing pest management tools that use insect and/or plant volatiles to reduce pest populations on crops of interest. Generating pheromone-emitting trap plants may allow for a continuing and highly-specific attraction of insect pests without repeated and costly application of synthetic pheromones. These trap plants may also be used to develop area-wide pest management strategies. As a proof-of-principle study we tested the possibility of producing the pheromone of the crucifer flea beetle Phyllotreta cruciferae in transgenic plants. P. cruciferae is an important pest of Brassica crops. In the presence of a host plant, males emit an aggregation pheromone, which attracts both males and females. Himachaladiene, a sesquiterpene, has been identified as a key component of the aggregation pheromone of P. cruciferae. In a close relative, Phyllotreta striolata, the compound is synthesized by a two-step pathway with an isoprenyl diphosphate synthase (PsIDS3) making (Z,E)-farnesyl diphosphate (FPP), which is converted by a terpene synthase (PsTPS1) to himachaladiene. Transient transformation of N. benthamiana with PsIDS3-TPS1 co-localized to the plastid resulted in the emission of himachaladiene and other known PsTPS1 products. Daily emissions of himachaladiene were approximately 1 µg per plant, which is six-fold higher than emissions from individual male flea beetles. Stable transformation of Arabidopsis thaliana with the same vector construct resulted in transgenic plants that expressed PsTPS1 and PsIDS3 transcripts, but no himachaladiene or other PsTPS1 products were present in volatile collections or leaf extracts of these plants. Moreover, no PsTPS1 enzyme activity was observed, indicating that post-transcriptional/translational effects prevent proper expression or targeting of functional PsIDS3 and/or PsTPS1 proteins in A. thaliana. Overall, this study demonstrates that the key component of the P. cruciferae aggregation pheromone, himachaladiene, can be transiently produced and emitted in a plant system at rates that are biologically relevant for insect attraction. However, further work is required for the stable production of the pheromone in plants. In addition, preliminary results are presented for the development of simple two-choice arenas that may allow for assessment of the movement of beetles toward host plant leaf tissue. This work can inform future efforts in developing methods for the economic production of himachaladiene in a plant system or the establishment of transgenic plants for the production and deployment of himachaladiene in a field setting. / Master of Science / The crucifer flea beetle is an important pest of vegetable and oilseed Brassica crops such as broccoli, cabbage and canola. Feeding by beetles has its greatest impact on crop health and yield in the early spring, when adult beetles emerge from overwintering sites and feed on newly- emerging Brassica seedlings. Currently these insects are controlled using broad spectrum insecticides. A general awareness of the negative aspects of insecticides drives the search for alternative pest management strategies that could diversify our management strategies and reduce reliance on insecticides. Previous work has found that the crucifer flea beetle navigates to its host plants, in part, through plant-emitted volatiles. After locating the plant host, males emit a volatile aggregation pheromone that when blended with host plant volatiles increases attraction. Here work towards the development of a specialized trap crop is presented. Plants were engineered to emit a key component of the crucifer flea beetle aggregation pheromone. In an engineered non-host plant, Nicotiana benthamiana, transient production of the aggregation pheromone was established. However, in an engineered Brassica plant, Arabidopsis thaliana, no aggregation pheromone was detected despite evidence of the presence and expression of the required biosynthetic genes for its production. A discussion on alternative engineering strategies for A. thaliana is presented. In addition, preliminary results are presented for the development of a simple behavior assay to assess the attraction of beetles toward different smells. This work can inform future efforts aimed at developing methods for the economic production of the aggregation pheromone in a plant system or the establishment of plants for the production and deployment of the aggregation pheromone in a field setting.

Advances in bioinformatics and computational biology have enabled integration of an enormous amount of known biological interactions. This has enabled researchers to use models and data to design experiments and guide new discovery as well as test for consistency. One such computational method is constraint-based metabolic flux modeling. This is performed using genome-scale metabolic models (GEMs) that are a collection of biochemical reactions, derived from a genome's annotation. This type of flux modeling enables prediction of net metabolite conversion rates (metabolic fluxes) to help understand metabolic activities under specific environmental conditions. It can also be used to derive metabolic engineering strategies that involve genetic manipulations. Over the past decade, GEMs have been constructed for several different microbes, plants, and animal species. Researchers have also developed advanced algorithms to use GEMs to predict genetic modifications for the overproduction of biofuel and valuable commodity chemicals. Many of the predictive algorithms for microbes were validated with experimental results and some have been applied industrially. However, there is much room for improvement. For example, many algorithms lack straight-forward predictions that truly help non-computationally oriented researchers understand the predicted necessary metabolic modifications. Other algorithms are limited to simple genetic manipulations due to computational demands. Utilization of GEMs and flux-based modeling to predict in vivo characteristics of multicellular organisms has also proven to be challenging. Many researchers have created unique frameworks to use plant GEMs to hypothesize complex cellular interactions, such as metabolic adjustments in rice under variable light intensity and in developing tomato fruit. However, few quantitative predictions have been validated experimentally in plants. This research demonstrates the utility of GEMs and flux-based modeling in both metabolic engineering and analysis by tackling the challenges addressed previously with alternative approaches. Here, a novel predictive algorithm, Node-Reward Optimization (NR-Opt) toolbox, was developed. It delivers concise and accurate metabolic engineering designs (i.e. genetic modifications) that can truly improve the efficiency of strain development. As a proof-of-concept, the algorithm was deployed on GEMs of E. coli and Arabidopsis thaliana, and the predicted metabolic engineering strategies were compared with results of well-accepted algorithms and validated with published experimental data. To demonstrate the utility of GEMs and flux-based modeling in analyzing plant metabolism, specifically its response to changes in the signaling pathway, a novel modeling framework and analytical pipeline were developed to simulate changes of growth and starch metabolism in Arabidopsis over multiple stages of development. This novel framework was validated through simulation of growth and starch metabolism of Arabidopsis plants overexpressing sucrose non-fermenting related kinase 1.1 (SnRK1.1). Previous studies suggest that SnRK1.1 may play a critical signaling role in plant development and starch level (a critical carbon source for plant night growth). It has been shown that overexpressing of SnRK1.1 in Arabidopsis can delay vegetative-to-reproductive transition. Many studies on plant development have correlated the delay in developmental transition to reduction in starch turnover at night. To determine whether starch played a role in the delayed developmental transition in SnRK1.1 overexpressor plants, starch turnover was simulated at multiple developmental stages. Simulations predicted no reduction in starch turnover prior to developmental transition. Predicted results were experimentally validated, and the predictions were in close agreement with experimental data. This result further supports previous data that SnRK1.1 may regulate developmental transition in Arabidopsis. This study further validates the utility of GEMs and flux-based modeling in guiding future metabolic research. / Ph. D.

Kapsaicinoider är ämnen som finns i chilifrukterna och har på senaste tiden fått intresse som läkemedel på grund av sina analgetiska, anti-inflammatoriska och anti-cancer egenskaper. Ett nytt tillvägagångssätt att producera kapsaicinoider kan vara syntesen i rekombinant Saccharomyces cerevisiae med hjälp av metabolisk engineering och rekombinant DNA-tekniker. Gener från Capsicum chinensis, som kodar för enzymerna capsaicinoid-syntas (CS) och acyl-CoA-syntas (ACS), integrerades i S. cerevisiae i tidigare projekt. Den kända laboratoriesträngen CEN.PK modifierades med plasmidtransformation och för vildtyp-stammen ERF 5273 användes den nya CRISPR/Cas9-tekniken. Syftet med detta projekt är att ytterligare karakterisera och jämföra dessa tidigare konstruerade stammar angående deras förmåga att producera nonivamid eller andra jästspecifika kapsaicinoider. Vidare undersöks huruvida kapsaicinoider utsöndras i odlings-medium eller om de ackumuleras intracellulärt. Stammarna odlades i en bioreaktor i lite laboratorieskala. Som odlingsmedium används ett definierat medium med eller utan tillsatser. Odlings-medium kompletterades med vanillyl-amin och nonanoic acid som precursor. För att identifiera de kapsaicinoid-producerande stammarna extraherades supernatanten och cellpelleten och analyserades kromatografisk med HPLC. Resultaten från denna studie visade att jäststammarna, som innehöll båda generna (ACS + CS), sannolikt producerade nonivamid om de odlades i kompletterat medium. Vidare observerades bildning av nonivamid som ackumulerades i själva cellen. Möjligtvis producerades också jästspecifika kapsaicinoider, men topphöjden är nästan inte mätbar. Därför måste dessa resultat bekräftas ytterligare. Framtida arbeten behövs för att säkerställa och förbättra produktionen av kapsaicinoider. Keywords: acyl-CoA syntas, kapsaicinoider, kapsaicinoid syntas, metabolisk engineering, Saccharomyces cerevisiae, nonivamide / Capsaicinoids are compounds found in chili plants and have recently gained interest as pharmaceuticals due to their analgesic, anti-inflammatory and anti-cancer properties. A novel approach producing capsaicinoids could be synthesis in recombinant Saccharomyces cerevisiae with help of metabolic engineering. Genes from Capsicum chinensis, encoding the enzymes capsaicinoid synthase (CS) and acyl-CoA synthase (ACS), were previously inserted into S. cerevisiae. The known laboratory stain CEN.PK was modified with plasmid transformation and the novel CRISPR/Cas9 technology was used for the wild type strain ERF 5273. The aim of this project is to further characterize and compare these previously constructed strains concerning their ability to produce nonivamide or yeast specific capsaicinoids. Furthermore, it is examined whether capsaicinoids are excreted into the broth or accumulated intracellularly. Four different strains were cultivated in bench-scale bioreactors using medium supplemented with or without different precursors (vanillylamine and nonanoic acid). Culture broth supernatants and cell pellets were extracted and analyzed by HPLC in order to identify the capsaicinoid-producing strains. The results from this study revealed that the yeast strains harbouring both genes (ACS+CS) produced most likely nonivamide if they were cultivated in media supplemented with both precursors. Nonivamide formation was equally observed in broth supernatant and cell pellet. Additionally it was shown that yeast specific capsaicinoid production occured, althoug the peak height was close to the limit of detection and these results have to be confirmed further. Future work needs to be done in order to ensure and improve capsaicinoid production. Keywords: acyl-CoA synthase, capsaicinoids, capsaicinoid synthase, metabolic engineering, Saccharomyces cerevisiae, nonivamide.