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Yellowstone National Park is a prime location to study biological adaptations to a wide range of temperatures and geochemical conditions. Lipids were extracted and quantified from thermophilic microbial communities sampled along the temperature (29-91°C) and chemical gradients of four alkaline Yellowstone hot springs. I observed that decreased alkyl chain carbon content, increased degree of unsaturation, and a shift from ether to ester linkage caused a downstream increase in the average oxidation state of carbon (ZC) I hypothesized these adaptations were selected because they represent cost-effective solutions to providing thermostable membranes.
This hypothesis was explored by assessing the relative energetic favorability of autotrophic reactions to form alkyl chains from known concentrations of dissolved inorganic species at elevated temperatures. I found that the oxidation-reduction potential (Eh) predicted to favor formation of sample-representative alkyl chains had a strong positive correlation with Eh calculated from hot spring water chemistry (R2 = 0.72 for the O2/H2O redox couple). A separate thermodynamic analysis of bacteriohopanepolyol lipids found that predicted equilibrium abundances of observed polar headgroup distributions were also highly correlated with Eh of the surrounding water (R2= 0.84). These results represent the first quantitative thermodynamic assessment of microbial lipid adaptation in natural systems and suggest that observed lipid distributions represent energetically cost-effective assemblages along temperature and chemical gradients.
Here, a mathematical model of dielectrophoretic data is presented to connect analyte properties with data features, including the intercept and slope, enabling DEP to be used in applications which require this information. The promise of DEP to distinguish between analytes with small differences is illustrated with antibiotic resistant bacteria. The DEP system is shown to differentiate between methicillin-resistant and susceptible Staphylococcus aureus. This differentiation was achieved both label free and with bacteria that had been fluorescently-labeled. Klebsiella pneumoniae carbapenemase-positive and negative Klebsiella pneumoniae were also distinguished, demonstrating the differentiation for a different mechanism of antibiotic resistance. Differences in dielectrophoretic behavior as displayed by S. aureus and K. pneumoniae were also shown by Staphylococcus epidermidis. These differences were exploited for a separation in space of gentamicin-resistant and -susceptible S. epidermidis. Besides establishing the ability of DEP to distinguish between populations with small biophysical differences, these studies illustrate the possibility for the use of DEP in applications such as rapid diagnostics.
The work presented in this dissertation focuses on developing and utilizing insulator-based dielectrophoresis (iDEP) to probe a wide range of analytes; where the intrinsic properties of an analyte will determine its behavior in a microchannel. This is based on the analyte’s interactions with the electrokinetic and dielectrophoretic forces present. Novel applications of this technique to probe the biophysical difference(s) between serovars of the foodborne pathogen, Listeria monocytogenes, and surface modified Escherichia coli, are investigated. Both of these applications demonstrate the capabilities of iDEP to achieve high resolution separations and probe slight changes in the biophysical properties of an analyte of interest. To improve upon existing iDEP strategies a novel insulator design which streamlines analytes in an iDEP device while still achieving the desirable forces for separation is developed, fabricated, and tested. Finally, pioneering work to develop an iDEP device capable of manipulating larger analytes, which range in size 10-250 µm, is presented.
Both gradient separation techniques and dielectrophoresis can solve some of the difficulties presented by complex biological samples, thanks to selective capture, isolation, and concentration of analytes. By merging dielectrophoresis with a gradient separation-based approach, gradient insulator dielectrophoresis (g-iDEP) promises benefits in the form of rapid and specific separation of extremely similar bioparticles. High-resolution capture can be achieved by exploiting variations in the characteristic physical properties of cells and other bioparticles.
Novel implementation and application of the technique has demonstrated the isolation and concentration of blood cells from a complex biological sample, differentiation of bacterial strains within a single species, and separation of antibiotic-resistant and antibiotic-susceptible bacteria. Furthermore, this approach allows simultaneous concentration of analyte, facilitating detection and downstream analysis. A theoretical description of the resolving capabilities of g-iDEP was also developed. This theory explores the relationship between experimental parameters and resolution. Results indicate the possibility of differentiating particles with dielectrophoretic mobilities that differ by as little as one part in 100,000,000, or electrophoretic mobilities differing by as little as one part in 100,000. These results indicate the potential g-iDEP holds in terms of both separatory power and the possibility for diagnostic applications.
Sulfur oxidation is a process that is seen a wide variety of places. One particular place is Yellowstone national park where an abundance of hot springs are present. These acidic and hot places are prime locations for sulfur oxidation to occur. At a very basic level this is thought of as Sulfur, oxygen, and water forming sulfate and hydrogen. Many other reactions occur when an organism performs these processes, and many enzymes are used for this. This paper aimed to create, balance, and analyze the reactions involved in the paper Sulfur Oxidation in the Acidophilic Autotrophic Acidithiobacillus spp. (Wang et al., 2019) Once these reactions were balanced thermodynamic properties were found to evaluate the Gibbs Free Energy of these reactions. This allowed for a unique energy-based view of how this web of reactions relate to each other.