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Description
The discovery and development of novel antibacterial agents is essential to address the rising health concern over antibiotic resistant bacteria. This research investigated the antibacterial activity of a natural clay deposit near Crater Lake, Oregon, that is effective at killing antibiotic resistant human pathogens. The primary rock types in the deposit are andesitic pyroclastic materials, which have been hydrothermally altered into argillic clay zones. High-sulfidation (acidic) alteration produced clay zones with elevated pyrite (18%), illite-smectite (I-S) (70% illite), elemental sulfur, kaolinite and carbonates. Low-sulfidation alteration at neutral pH generated clay zones with lower pyrite concentrations pyrite (4-6%), the mixed-layered I-S clay rectorite (R1, I-S) and quartz.
Antibacterial susceptibility testing reveals that hydrated clays containing pyrite and I-S are effective at killing (100%) of the model pathogens tested (E. coli and S. epidermidis) when pH (< 4.2) and Eh (> 450 mV) promote pyrite oxidation and mineral dissolution, releasing > 1 mM concentrations of Fe2+, Fe3+ and Al3+. However, certain oxidized clay zones containing no pyrite still inhibited bacterial growth. These clays buffered solutions to low pH (< 4.7) and oxidizing Eh (> 400 mV) conditions, releasing lower amounts (< 1 mM) of Fe and Al. The presence of carbonate in the clays eliminated antibacterial activity due to increases in pH, which lower pyrite oxidation and mineral dissolution rates.
The antibacterial mechanism of these natural clays was explored using metal toxicity and genetic assays, along with advanced bioimaging techniques. Antibacterial clays provide a continuous reservoir of Fe2+, Fe3+ and Al3+ that synergistically attack pathogens while generating hydrogen peroxide (H2O¬2). Results show that dissolved Fe2+ and Al3+ are adsorbed to bacterial envelopes, causing protein misfolding and oxidation in the outer membrane. Only Fe2+ is taken up by the cells, generating oxidative stress that damages DNA and proteins. Excess Fe2+ oxidizes inside the cell and precipitates Fe3+-oxides, marking the sites of hydroxyl radical (•OH) generation. Recognition of this novel geochemical antibacterial process should inform designs of new mineral based antibacterial agents and could provide a new economic industry for such clays.
Antibacterial susceptibility testing reveals that hydrated clays containing pyrite and I-S are effective at killing (100%) of the model pathogens tested (E. coli and S. epidermidis) when pH (< 4.2) and Eh (> 450 mV) promote pyrite oxidation and mineral dissolution, releasing > 1 mM concentrations of Fe2+, Fe3+ and Al3+. However, certain oxidized clay zones containing no pyrite still inhibited bacterial growth. These clays buffered solutions to low pH (< 4.7) and oxidizing Eh (> 400 mV) conditions, releasing lower amounts (< 1 mM) of Fe and Al. The presence of carbonate in the clays eliminated antibacterial activity due to increases in pH, which lower pyrite oxidation and mineral dissolution rates.
The antibacterial mechanism of these natural clays was explored using metal toxicity and genetic assays, along with advanced bioimaging techniques. Antibacterial clays provide a continuous reservoir of Fe2+, Fe3+ and Al3+ that synergistically attack pathogens while generating hydrogen peroxide (H2O¬2). Results show that dissolved Fe2+ and Al3+ are adsorbed to bacterial envelopes, causing protein misfolding and oxidation in the outer membrane. Only Fe2+ is taken up by the cells, generating oxidative stress that damages DNA and proteins. Excess Fe2+ oxidizes inside the cell and precipitates Fe3+-oxides, marking the sites of hydroxyl radical (•OH) generation. Recognition of this novel geochemical antibacterial process should inform designs of new mineral based antibacterial agents and could provide a new economic industry for such clays.
ContributorsMorrison, Keith D (Author) / Williams, Lynda B (Thesis advisor) / Williams, Stanley N (Thesis advisor) / Misra, Rajeev (Committee member) / Shock, Everett (Committee member) / Anbar, Ariel (Committee member) / Arizona State University (Publisher)
Created2015
Description
The greatest barrier to understanding how life interacts with its environment is the complexity in which biology operates. In this work, I present experimental designs, analysis methods, and visualization techniques to overcome the challenges of deciphering complex biological datasets. First, I examine an iron limitation transcriptome of Synechocystis sp. PCC 6803 using a new methodology. Until now, iron limitation in experiments of Synechocystis sp. PCC 6803 gene expression has been achieved through media chelation. Notably, chelation also reduces the bioavailability of other metals, whereas naturally occurring low iron settings likely result from a lack of iron influx and not as a result of chelation. The overall metabolic trends of previous studies are well-characterized but within those trends is significant variability in single gene expression responses. I compare previous transcriptomics analyses with our protocol that limits the addition of bioavailable iron to growth media to identify consistent gene expression signals resulting from iron limitation. Second, I describe a novel method of improving the reliability of centroid-linkage clustering results. The size and complexity of modern sequencing datasets often prohibit constructing distance matrices, which prevents the use of many common clustering algorithms. Centroid-linkage circumvents the need for a distance matrix, but has the adverse effect of producing input-order dependent results. In this chapter, I describe a method of cluster edge counting across iterated centroid-linkage results and reconstructing aggregate clusters from a ranked edge list without a distance matrix and input-order dependence. Finally, I introduce dendritic heat maps, a new figure type that visualizes heat map responses through expanding and contracting sequence clustering specificities. Heat maps are useful for comparing data across a range of possible states. However, data binning is sensitive to clustering cutoffs which are often arbitrarily introduced by researchers and can substantially change the heat map response of any single data point. With an understanding of how the architectural elements of dendrograms and heat maps affect data visualization, I have integrated their salient features to create a figure type aimed at viewing multiple levels of clustering cutoffs, allowing researchers to better understand the effects of environment on metabolism or phylogenetic lineages.
ContributorsKellom, Matthew (Author) / Raymond, Jason (Thesis advisor) / Anbar, Ariel (Committee member) / Elser, James (Committee member) / Shock, Everett (Committee member) / Walker, Sarah (Committee member) / Arizona State University (Publisher)
Created2017
Description
Evaluations of chemical energy supplies for redox reactions used by chemotrophs in water-rock hosted ecosystems are often done separately from evaluations of chemotroph diversity. However, given that energy is a fundamental and unifying parameter for life, much can be gained by evaluating chemical energy as an ecological parameter of water-rock hosted ecosystems. Therefore, I developed an approach that combines evaluation of chemical energy supplies with 16S and 18S rRNA gene amplicon sequencing. I used this approach to assess drivers of microbial distribution, diversity and activity in serpentinized fluids of the Samail Ophiolite of Oman and in hot springs in Yellowstone National Park.
Through the application of the approach, microbiological interactions in serpentinized fluids were found to be more complex than anticipated. Serpentinized fluids are hyperalkaline and pH is often considered the driving parameter of microbial diversity, however hydrogenotrophic community composition varies in hyperalkaline fluids with similar pH. The composition of hydrogenotrophic communities in serpentinized fluids were found to correspond to the availability of the electron acceptor for hydrogenotrophic redox reactions. Specifically, hydrogenotrophic community composition transitions from being dominated by the hydrogenotrophic methanogen genus, Methanobacterium, when the concentration of sulfate is less than ~10 μm. Above ~10 μm, sulfate reducers are most abundant. Additionally, Methanobacterium was found to co-occur with the protist genus, Cyclidium, in serpentinized fluids. Species of Cyclidium are anaerobic and known to have methanogen endosymbionts. Therefore, Cyclidium may supply inorganic carbon evolved from fermentation to Methanobacterium, thereby mitigating pH dependent inorganic carbon limitation.
This approach also revealed possible biological mechanisms for methane oxidation in Yellowstone hot springs. Measurable rates of biological methane oxidation in hot spring sediments are likely associated with methanotrophs of the phylum, Verrucomicrobia, and the class, Alphaproteobacteria. Additionally, rates were measurable where known methanotrophs were not detected. At some of these sites, archaeal ammonia oxidizer taxa were detected. Ammonia oxidizers have been shown to be capable of methane oxidation in other systems and may be an alternative mechanism for methanotrophy in Yellowstone hot springs. At the remaining sites, uncharacterized microbial lineages may be capable of carrying out methane oxidation in Yellowstone hot springs.
Through the application of the approach, microbiological interactions in serpentinized fluids were found to be more complex than anticipated. Serpentinized fluids are hyperalkaline and pH is often considered the driving parameter of microbial diversity, however hydrogenotrophic community composition varies in hyperalkaline fluids with similar pH. The composition of hydrogenotrophic communities in serpentinized fluids were found to correspond to the availability of the electron acceptor for hydrogenotrophic redox reactions. Specifically, hydrogenotrophic community composition transitions from being dominated by the hydrogenotrophic methanogen genus, Methanobacterium, when the concentration of sulfate is less than ~10 μm. Above ~10 μm, sulfate reducers are most abundant. Additionally, Methanobacterium was found to co-occur with the protist genus, Cyclidium, in serpentinized fluids. Species of Cyclidium are anaerobic and known to have methanogen endosymbionts. Therefore, Cyclidium may supply inorganic carbon evolved from fermentation to Methanobacterium, thereby mitigating pH dependent inorganic carbon limitation.
This approach also revealed possible biological mechanisms for methane oxidation in Yellowstone hot springs. Measurable rates of biological methane oxidation in hot spring sediments are likely associated with methanotrophs of the phylum, Verrucomicrobia, and the class, Alphaproteobacteria. Additionally, rates were measurable where known methanotrophs were not detected. At some of these sites, archaeal ammonia oxidizer taxa were detected. Ammonia oxidizers have been shown to be capable of methane oxidation in other systems and may be an alternative mechanism for methanotrophy in Yellowstone hot springs. At the remaining sites, uncharacterized microbial lineages may be capable of carrying out methane oxidation in Yellowstone hot springs.
ContributorsHowells, Alta Emily Gessner (Author) / Shock, Everett (Thesis advisor) / Collins, James (Committee member) / Anbar, Ariel (Committee member) / Cadillo-Quiroz, Hinsby (Committee member) / Arizona State University (Publisher)
Created2020
Description
Due to analytical limitations, thermodynamic modeling is a lucrative alternative for obtaining metal speciation in chemically complex systems like life. However, such modeling is limited by the lack of equilibrium constant data for metal-complexation reactions, particularly for metal-organic species. These problems were ameliorated estimating these properties from 0-125°C for ~18,000 metal complexes of small molecules, proteins and peptides.
The estimates of metal-ligand equilibrium constants at 25°C and 1 bar were made using multiple linear free energy relationships in accordance with the metal-coordinating properties of ligands such as denticity, identity of electron donor group, inductive effects and steric hindrance. Analogous relationships were made to estimated metal-ligand complexation entropy that facilitated calculation of equilibrium constants up to 125°C using the van’t Hoff equation. These estimates were made for over 250 ligands that include carboxylic acids, phenols, inorganic acids, amino acids, peptides and proteins.
The stability constants mentioned above were used to obtain metal speciation in several microbial growth media including past bioavailability studies and compositions listed on the DSMZ website. Speciation calculations were also carried out for several metals in blood plasma and cerebrospinal fluid that include metals present at over micromolar abundance (sodium, potassium, calcium, magnesium, iron, copper and zinc) and metals of therapeutic or toxic potential (like gallium, rhodium and bismuth). Metal speciation was found to be considerably dependent on pH and chelator concentration that can help in the selection of appropriate ligands for gallium & rhodium based anticancer drugs and zinc-based antidiabetics. It was found that methanobactin can considerably alter copper speciation and is therefore a suitable agent for the treatment of Wilson Disease. Additionally, bismuth neurotoxicity was attributed to the low transferrin concentration in cerebrospinal fluid and the predominance of aqueous bismuth trihydroxide. These results demonstrate that metal speciation calculations using thermodynamic modeling can be extremely useful for understanding metal bioavailability in microbes and human bodily fluids.
The estimates of metal-ligand equilibrium constants at 25°C and 1 bar were made using multiple linear free energy relationships in accordance with the metal-coordinating properties of ligands such as denticity, identity of electron donor group, inductive effects and steric hindrance. Analogous relationships were made to estimated metal-ligand complexation entropy that facilitated calculation of equilibrium constants up to 125°C using the van’t Hoff equation. These estimates were made for over 250 ligands that include carboxylic acids, phenols, inorganic acids, amino acids, peptides and proteins.
The stability constants mentioned above were used to obtain metal speciation in several microbial growth media including past bioavailability studies and compositions listed on the DSMZ website. Speciation calculations were also carried out for several metals in blood plasma and cerebrospinal fluid that include metals present at over micromolar abundance (sodium, potassium, calcium, magnesium, iron, copper and zinc) and metals of therapeutic or toxic potential (like gallium, rhodium and bismuth). Metal speciation was found to be considerably dependent on pH and chelator concentration that can help in the selection of appropriate ligands for gallium & rhodium based anticancer drugs and zinc-based antidiabetics. It was found that methanobactin can considerably alter copper speciation and is therefore a suitable agent for the treatment of Wilson Disease. Additionally, bismuth neurotoxicity was attributed to the low transferrin concentration in cerebrospinal fluid and the predominance of aqueous bismuth trihydroxide. These results demonstrate that metal speciation calculations using thermodynamic modeling can be extremely useful for understanding metal bioavailability in microbes and human bodily fluids.
ContributorsPrasad, Apar (Author) / Shock, Everett (Thesis advisor) / Trovitch, Ryan (Committee member) / Redding, Kevin (Committee member) / Arizona State University (Publisher)
Created2019