The field of bioprocess engineering has become an increasingly popular route to produce chemicals and fuels in a sustainable fashion. Bioprocessing is an interdisciplinary field that joins chemical engineering, metabolic engineering, and synthetic biology to tackle problems that will arise from the ongoing use of products derived from non-renewable resources. This study will overlook two effective tools that are widely used in the bioprocessing field. The first tool that was studied was strain optimization for biochemical production. This involves genetic manipulation of microbial hosts to create strains that are more efficient at producing the desired products. The second tool that was studied was adaptive laboratory evolution which is used to enhance overall cellular fitness. Enhancing the overall fitness and efficiency of these microbial production factories, allows for innovation and growth in the biochemical industry. Creating sustainable and renewable solutions for both specialty and commodity chemicals.
Strain optimization was specifically studied by enhancing inorganic carbon uptake in synechococcus sp. 7002. It is desired to have both high flux and high affinity transport for the rapid and efficient uptake of HCO3- for enhanced cell growth. The results found that the regulatory gene for carbon transporters in synechococcus genome was successfully deleted. Increasing the toxicity limits of 2-Phenylethanol was done by using adaptive laboratory evolution (ALE). ALE is a widely used practice in biotechnology studies to gain insights on mechanisms of molecular evolution and to better define the functionality of microbial cell factories. It was found that after growing E. coli BW25113 under selective conditions the genome evolved for a higher fitness medium with an increased concentration of 2-Phenylethanol. Overall, two key tools used in bioprocess engineering were successful studied to gain a better insight on the future of biochemical production industry.

Renewable bioproduction through fermentation of microbial species such as E. coli shows much promise in comparison to conventional fossil fuel based chemical production. Although Escherichia coli is a workhorse for bioproduction, there are inherent limitations associated with the use of this organism which negatively affect bioproduction. One example is E. coli fermentative growth being less robust compared to some microbes such as Lactobacilli under anaerobic and microaerobic fermentation conditions. Identification and characterization of its fermentative growth constraints will help in making E. coli a better fermentation host. In this thesis, I demonstrate that Lactobacillus plantarum WCFS1 has desirable fermentative capabilities that may be transferrable to E. coli through genetic engineering to alleviate growth restraints. This has led to the hypothesis that these L. plantarum DNA sequences are transferrable through a genomic library. A background of comparative genomics and complementary literature review has demonstrated that E. coli growth may be hindered by stress from many toxin-antitoxin systems. L. plantarum WCFS1 optimizes amino acid catabolism over glycolysis to generate high ATP levels from reducing agents and proton motive force, and Lactobacilli are resistant to acidic environments and encodes a wide variety of acid transporters that could help E. coli fermentative growth. Since a great variety of L. plantarum genes may contribute to its fermentative capabilities, a gDNA library containing L. plantarum WCFS1 genes has been successfully constructed for testing in E. coli bioproducers to search for specific genes that may enhance E. coli fermentative performance and elucidate the molecular basis of Lactobacillus fermentative success.

Fermentative bioproduction is an efficient production avenue for many small organic acids with less greenhouse gas emissions than petrochemical conversion. Export of these organic acids from the cell is proposed to be mediated by networks of transmembrane transport proteins. However characterization of full transporter networks or the substrate promiscuity of individual transporters is often incomplete. Here, we used a cheminformatic approach to predict previously unknown native activity of E. coli transporters based on substrate promiscuity. Experimental validation in characterized several major putative malate exporters, whereas others were characterized as weak putative lactate exporters. The lactate export network remains incompletely characterized and might be mediated by a large, evolved network of promiscuous transporters.

Synthetic biology is an emerging field which melds genetics, molecular biology, network theory, and mathematical systems to understand, build, and predict gene network behavior. As an engineering discipline, developing a mathematical understanding of the genetic circuits being studied is of fundamental importance. In this dissertation, mathematical concepts for understanding, predicting, and controlling gene transcriptional networks are presented and applied to two synthetic gene network contexts. First, this engineering approach is used to improve the function of the guide ribonucleic acid (gRNA)-targeted, dCas9-regulated transcriptional cascades through analysis and targeted modification of the RNA transcript. In so doing, a fluorescent guide RNA (fgRNA) is developed to more clearly observe gRNA dynamics and aid design. It is shown that through careful optimization, RNA Polymerase II (Pol II) driven gRNA transcripts can be strong enough to exhibit measurable cascading behavior, previously only shown in RNA Polymerase III (Pol III) circuits. Second, inherent gene expression noise is used to achieve precise fractional differentiation of a population. Mathematical methods are employed to predict and understand the observed behavior, and metrics for analyzing and quantifying similar differentiation kinetics are presented. Through careful mathematical analysis and simulation, coupled with experimental data, two methods for achieving ratio control are presented, with the optimal schema for any application being dependent on the noisiness of the system under study. Together, these studies push the boundaries of gene network control, with potential applications in stem cell differentiation, therapeutics, and bio-production.

Lignocellulosic biomass represents a renewable domestic feedstock that can support large-scale biochemical production processes for fuels and specialty chemicals. However, cost-effective conversion of lignocellulosic sugars into valuable chemicals by microorganisms still remains a challenge. Biomass recalcitrance to saccharification, microbial substrate utilization, bioproduct titer toxicity, and toxic chemicals associated with chemical pretreatments are at the center of the bottlenecks limiting further commercialization of lignocellulose conversion. Genetic and metabolic engineering has allowed researchers to manipulate microorganisms to overcome some of these challenges, but new innovative approaches are needed to make the process more commercially viable. Transport proteins represent an underexplored target in genetic engineering that can potentially help to control the input of lignocellulosic substrate and output of products/toxins in microbial biocatalysts. In this work, I characterize and explore the use of transport systems to increase substrate utilization, conserve energy, increase tolerance, and enhance biocatalyst performance.

Escherichia coli is a bacterium that is used widely in metabolic engineering due to its ability to grow at a fast rate and to be cultured easily. E. coli can be engineered to produce many valuable chemicals, including biofuels and L-Phenylalanine—a precursor to many pharmaceuticals. Significant cell growth occurs in parallel to the biosynthesis of the desired biofuel or biochemical product, and limits product concentrations and yields. Stopping cell growth can improve chemical production since more resources will go toward chemical production than toward biomass. The goal of the project is to test different methods of controlling microbial uptake of nutrients, specifically phosphate, to dynamically limit cell growth and improve biochemical production of E. coli, and the research has the potential to promote public health, sustainability, and environment. This can be achieved by targeting phosphate transporter genes using CRISPRi and CRISPR, and they will limit the uptake of phosphate by targeting the phosphate transporter genes in DNA, which will stop transcriptions of the genes. In the experiment, NST74∆crr∆pykAF, a L-Phe overproducer, was used as the base strain, and the pitA phosphate transporter gene was targeted in the CRISPRi and CRISPR systems with the strain with other phosphate transporters knocked out. The tested CRISPRi and CRISPR mechanisms did not stop cell growth or improved L-Phe production. Further research will be conducted to determine the problem of the system. In addition, the CRISPRi and CRISPR systems that target multiple phosphate transporter genes will be tested in the future as well as the other method of stopping transcriptions of the phosphate transporter genes, which is called a tunable toggle switch mechanism.

One of the primary bottlenecks to chemical production in biological organisms is the toxicity of the chemical. Overexpression of efflux pumps has been shown to increase tolerance to aromatic compounds such as styrene and styrene oxide. Tight control of pump expression is necessary to maximize titers and prevent excessive strain on the cells. This study aimed to identify aromatic-sensitive native promoters and heterologous biosensors for construction of closed-loop control of efflux pump expression in E. coli. Using a promoter library constructed by Zaslaver et al., activation was measured through GFP output. Promoters were evaluated for their sensitivity to the addition of one of four aromatic compounds, their "leaking" of signal, and their induction threshold. Out of 43 targeted promoters, 4 promoters (cmr, mdtG, yahN, yajR) for styrene oxide, 2 promoters (mdtG, yahN) for styrene, 0 promoters for 2-phenylethanol, and 1 promoter for phenol (pheP) were identified as ideal control elements in aromatic bioproduction. In addition, a series of three biosensors (NahR, XylS, DmpR) known to be inducible by other aromatics were screened against styrene oxide, 2-phenylethanol, and phenol. The targeted application of these biosensors is aromatic-induced activation of linked efflux pumps. All three biosensors responded strongly in the presence of styrene oxide and 2-phenylethanol, with minor activation in the presence of phenol. Bioproduction of aromatics continues to gain traction in the biotechnology industry, and the continued discovery of aromatic-inducible elements will be essential to effective pathway control.

Membranes are a key part of pervaporation processes, which is generally a more

efficient process for selective removal of alcohol from water than distillation. It is

necessary that the membranes have high alcohol permeabilities and selectivities.

Polydimethylsiloxane (PDMS) based mixed matrix membranes (MMMs) have

demonstrated very promising results. Zeolitic imidazolate framework-71 (ZIF-71)

demonstrated promising alcohol separation abilities. In this dissertation, we present

fundamental studies on the synthesis of ZIF-71/PDMS MMMs.

Free-standing ZIF-71/ PDMS membranes with 0, 5, 25 and 40 wt % ZIF-71

loadings were prepared and the pervaporation separation for ethanol and 1-butanol from

water was measured. ZIF-71/PDMS MMMs were formed through addition cure and

condensation cure methods. Addition cure method was not compatible with ZIF-71

resulting in membranes with poor mechanical properties, while the condensation cure

method resulted in membranes with good mechanical properties. The 40 wt % ZIF-71

loading PDMS nanocomposite membranes achieved a maximum ethanol/water selectivity

of 0.81 ± 0.04 selectivity and maximum 1-butnaol/water selectivity of 5.64 ± 0.15.

The effects of synthesis time, temperature, and reactant ratio on ZIF-71 particle

size and the effect of particle size on membrane performance were studied. Temperature

had the greatest effect on ZIF-71 particle size as the synthesis temperature varied from -

20 to 35 ºC. The ZIF-71 synthesized had particle diameters ranging from 150 nm to 1

μm. ZIF-71 particle size is critical in ZIF-71/PDMS composite membrane performance

for alcohol removal from water through pervaporation. The membranes made with

micron sized ZIF-71 particles showed higher alcohol/water selectivity than those with

smaller particles. Both alcohol and water permeability increased when larger sized ZIF-

71 particles were incorporated.

ZIF-71 particles were modified with four ligands through solvent assisted linker

exchange (SALE) method: benzimidazole (BIM), 5-methylbenzimidazole (MBIM), 5,6-

dimethylbenzimidazole (DMBIM) and 4-Phenylimidazole (PI). The morphology of ZIF-

71 were maintained after the modification. ZIF-71/PDMS composite membranes with 25

wt% loading modified ZIF-71 particles were made for alcohol/water separation. Better

particle dispersion in PDMS polymer matrix was observed with the ligand modified ZIFs.

For both ethanol/water and 1-butanol/water separations, the alcohol permeability and

alcohol/water selectivity were lowered after the ZIF-71 ligand exchange reaction.

The portability of genetic tools from one organism to another is a cornerstone of synthetic biology. The shared biological language of DNA-to-RNA-to-protein allows for expression of polypeptide chains in phylogenetically distant organisms with little modification. The tools and contexts are diverse, ranging from catalytic RNAs in cell-free systems to bacterial proteins expressed in human cell lines, yet they exhibit an organizing principle: that genes and proteins may be treated as modular units that can be moved from their native organism to a novel one. However, protein behavior is always unpredictable; drop-in functionality is not guaranteed.

My work characterizes how two different classes of tools behave in new contexts and explores methods to improve their functionality: 1. CRISPR/Cas9 in human cells and 2. quorum sensing networks in Escherichia coli.

1. The genome-editing tool CRISPR/Cas9 has facilitated easily targeted, effective, high throughput genome editing. However, Cas9 is a bacterially derived protein and its behavior in the complex microenvironment of the eukaryotic nucleus is not well understood. Using transgenic human cell lines, I found that gene-silencing heterochromatin impacts Cas9’s ability to bind and cut DNA in a site-specific manner and I investigated ways to improve CRISPR/Cas9 function in heterochromatin.

2. Bacteria use quorum sensing to monitor population density and regulate group behaviors such as virulence, motility, and biofilm formation. Homoserine lactone (HSL) quorum sensing networks are of particular interest to synthetic biologists because they can function as “wires” to connect multiple genetic circuits. However, only four of these networks have been widely implemented in engineered systems. I selected ten quorum sensing networks based on their HSL production profiles and confirmed their functionality in E. coli, significantly expanding the quorum sensing toolset available to synthetic biologists.

Four enzymes, ATF1, ATF2, ATF, and CAT, were screened to determine which would be most effective at catalyzing the formation of aromatic esters. The CAT enzyme successfully catalyzed the reaction to produce 2-phenethyl acetate using 20x more lysate to improve the probability of enzyme presence in the lysate. The CAT enzyme was able to catalyze the reaction producing concentrations that increased by 62% every 12 hours. Enzymatic activity resulted in the production of 2.15 mg/L of 2-phenethyl acetate at 12 hours, 5.62 mg/L of 2-phenethyl acetate at 24 hours, and 15.12 mg/L of 2-phenethyl acetate at 48 hours.