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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.

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.

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.

À l'heure actuelle, il y a un regain d'intérêt pour Clostridium acetobutylicum, le biocatalyseur du procédé Weizmann historique, pour produire le n-butanol un produit chimique de commodité et un bio-carburant alternatif et renouvelable . Ce mémoire de thèse décrit un procédé de recombinaison homologue, utilisant plasmide réplicatif, pour la délétion ou l'introdu ction de gènes chez C. acetobutylicum avec une élimination facile des marqueurs utilisés. La souche de C. acetobutylicum cacl502upp et ce système de recombinaison homologue ont été utilisés dans d'autres expériences d'ingénierie pour obtenir une souche produisant du n-butanol avec une sélectivité élevée et en éliminant la plupart des co-produits. Le mutant final, C. acetobutylicum (C. acetobutylicum CAB1060) a été généré avec succès. Cette souche CAB1060 a été utilisée dans un nouveau procédé de fermentation continu qui utilise i) l'extraction in situ des alcools par distillation sous pression réduite et ii) des cultures à haute densité cellulaire (et ne faisant pas intervenir de procédé membranaire) pour atteindre des titre, rendement et productivité en n-butanol qui n'ont jam ais été obtenus chez aucun micro-organisme.Un second procédé de recombinaison homologue utilisant un plasmide non réplicatif pour la modification de gène sans marqueur est également décrit dans le présent mémoire. Cette méthode permet d'inactiver simultaném ent deux gènes. Il a été utilisé avec succès pour la construction d'un mutant incapable de produire de l'hydrogène et utile, comme souche plate-forme, pour l'ingénierie de C. acetobutylicum pour produire en continu des produits chimiques de commodité et des bio­ carburants. / Current ly, there is a resurgence of interest in Clostridium acetobutylicum, the biocatalyst of the historical Weizmann process, to produce n-butanol for use both as a bulk chemical and as a renewablc alternative transportation fuel. This thesis describes a method of homologous recombination by replicative plasmid to delete or introduce genes in C. acetobutylicum . This method was successfull y used to delete genes, includin g CACJ502, CAC3535, CAC2879 (upp), to generate C. acetobutylicum. These strains are readily transformable without any previous plasmid methylation and can serve as hosts for a "marker-less" genetic exchange system. A mutant C. acetobutylicum (C. acetobuty licum CAB 1060) was successfully genera ted. This final mutant produces mainly bu tanol, with ethanol and traces of acetate at a molar rati o of 7:1 :1 . This CAB 1060 strain was subjected to a new continuous fermentation process using i) in situ extraction of alcohols by distillation under low pressure and ii) high cell density cultures to increase the titer, yield and productivity of n-butanol production to levels that have never been previously açhieved in any organism . A second homologous recombination method using non-replicative plasmid for marker less gene modification is also described in this thesis. This method allows the simultaneou s inactivation of two genes. lt has been successfully used to construct a mutant unable to produce hydrogen and useful, as a platform strain, for further engineering of C. acetobutylicum to continuously produce bulk chemicals and fuels.

Squalene synthase (SS) is an essential enzyme in eukaryotic systems responsible for an important branch point in isoprenoid metabolism that leads to sterol formation. The mechanistic complexity of SS has made it a difficult enzyme to study. The green alga Botryococcus braunii race B possesses several squalene synthase-like (SSL) enzymes that afford a unique opportunity to study the complex mechanism of triterpene biosynthesis. SSL-1 catalyzes presqualene diphosphate (PSPP) formation, which can either be converted to squalene by SSL-2 or botryococcene by SSL-3. A rationally designed mutant study of B. braunii squalene synthase (BbSS) and SSL-3 was conducted to understand structure-function relations among these enzymes. These studies revealed two amino acid positions in SSL-3 (N171, G207) that appeared to control 1’-3 versus 1’-1 linkages. The reciprocal mutations in the corresponding positions of BbSS did not convert this enzyme into a botryococcene synthase. Next, a genetic selection was developed to evolve SSL enzymes towards a fully functional SS. Previous studies have shown that Saccharomyces cerevisiae squalene synthase (ScSS) can be knocked out and although lethal, growth can be restored by providing an exogenous source of ergosterol. Additional studies have shown that successful complementation of the ScSS knockout with a non-fungal SS is possible but requires a fungal SS carboxy- terminus region. Given these observations, proof-of-principle experiments were conducted to demonstrate that SSL-SSL fusion enzymes could complement the ScSS knockout followed by construction of a mutant SSL-SSL fusion enzyme library that was screened in the ScSS knockout yeast line. From this library, mutant SSL-SSL fusion enzymes were identified that were able to complement, which demonstrated the feasibility of this approach as a genetic selection for mutant SSL enzymes. Squalene and botryococcene have valuable industrial applications in vaccine adjuvant formations, cosmetic products, and renewable energy feedstock material. Limitations in natural sources of these molecules have made heterologous production of them an important research target. Algae represent a desirable group of organisms that could be engineered to produce these metabolites because they are photosynthetic and capable of using non-arable farmland. The feasibility, approach, and progress for engineering green algae to produce squalene and botryococcene are discussed.