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Description
Ponderosa pine forests are a dominant land cover type in semiarid montane areas. Water supplies in major rivers of the southwestern United States depend on ponderosa pine forests since these ecosystems: (1) receive a significant amount of rainfall and snowfall, (2) intercept precipitation and transpire water, and (3) indirectly influence runoff by impacting the infiltration rate. However, the hydrologic patterns in these ecosystems with strong seasonality are poorly understood. In this study, we used a distributed hydrologic model evaluated against field observations to improve our understandings on spatial controls of hydrologic patterns, appropriate model resolution to simulate ponderosa pine ecosystems and hydrologic responses in the context of contrasting winter to summer transitions. Our modeling effort is focused on the hydrologic responses during the North American Monsoon (NAM), winter and spring periods. In Chapter 2, we utilized a distributed model explore the spatial controls on simulated soil moisture and temporal evolution of these spatial controls as a function of seasonal wetness. Our findings indicate that vegetation and topographic curvature are spatial controls. Vegetation controlled patterns during dry summer period switch to fine-scale terrain curvature controlled patterns during persistently wet NAM period. Thus, a climatic threshold involving rainfall and weather conditions during the NAM is identified when high rainfall amount (such as 146 mm rain in August, 1997) activates lateral flux of soil moisture and frequent cloudy cover (such as 42% cloud cover during daytime of August, 1997) lowers evapotranspiration. In Chapter 3, we investigate the impacts of model coarsening on simulated soil moisture patterns during the NAM. Results indicate that model aggregation quickly eradicates curvature features and its spatial control on hydrologic patterns. A threshold resolution of ~10% of the original terrain is identified through analyses of homogeneity indices, correlation coefficients and spatial errors beyond which the fidelity of simulated soil moisture is no longer reliable. Based on spatial error analyses, we detected that the concave areas (~28% of hillslope) are very sensitive to model coarsening and root mean square error (RMSE) is higher than residual soil moisture content (~0.07 m3/m3 soil moisture) for concave areas. Thus, concave areas need to be sampled for capturing appropriate hillslope response for this hillslope. In Chapter 4, we investigate the impacts of contrasting winter to summer transitions on hillslope hydrologic responses. We use a distributed hydrologic model to generate a consistent set of high-resolution hydrologic estimates. Our model is evaluated against the snow depth, soil moisture and runoff observations over two water years yielding reliable spatial distributions during the winter to summer transitions. We find that a wet winter followed by a dry summer promotes evapotranspiration losses (spatial averaged ~193 mm spring ET and ~ 600 mm summer ET) that dry the soil and disconnect lateral fluxes in the forested hillslope, leading to soil moisture patterns resembling vegetation patches. Conversely, a dry winter prior to a wet summer results in soil moisture increases due to high rainfall and low ET during the spring (spatially averaged 78 mm ET and 232 mm rainfall) and summer period (spatially averaged 147 mm ET and 247 mm rainfall) which promote lateral connectivity and soil moisture patterns with the signature of terrain curvature. An opposing temporal switch between infiltration and saturation excess runoff is also identified. These contrasting responses indicate that the inverse relation has significant consequences on hillslope water availability and its spatial distribution with implications on other ecohydrological processes including vegetation phenology, groundwater recharge and geomorphic development. Results from this work have implications on the design of hillslope experiments, the resolution of hillslope scale models, and the prediction of hydrologic conditions in ponderosa pine ecosystems. In addition, our findings can be used to select future hillslope sites for detailed ecohydrological investigations. Further, the proposed methodology can be useful for predicting responses to climate and land cover changes that are anticipated for the southwestern United States.
ContributorsMahmood, Taufique Hasan (Author) / Vivoni, Enrique R. (Thesis advisor) / Whipple, Kelin X. (Committee member) / Shock, Everett (Committee member) / Heimsath, Arjun M. (Committee member) / Ruddell, Benjamin (Committee member) / Arizona State University (Publisher)
Created2012
Description
Marine pico-cyanobacteria of the genera Synechococcus and Prochlorococcus carry out nearly two thirds of the primary production in oligotrophic oceans. These cyanobacteria are also considered an important constituent of the biological carbon pump, the photosynthetic fixation of CO2 to dissolved and particulate organic carbon and subsequent export to the ocean’s interior. But single cells of these cyanobacteria are too small to sink, so their carbon export has to be mediated by aggregate formation and/or consumption by zooplankton that produce sinking fecal pellets. In this dissertation, I investigated for the first time the aggregation of these cyanobacteria by studying the marine Synechococcus sp. strain WH8102 as a model organism. I first found in culture experiments that Synechococcus cells aggregated and that such aggregation of cells was related to the production of transparent exopolymeric particles (TEP), known to provide the main matrix of aggregates of eukaryotic phytoplankton. I also found that despite the lowered growth rates, cells in the nitrogen or phosphorus limited cultures had a higher cell-normalized TEP production and formed a greater total volume of aggregates with higher settling velocities compared to cells in the nutrient replete cultures. I further studied the Synechococcus aggregation in roller tanks that allow the simulation of aggregates settling in the water column, and investigated the effects of the clays kaolinite and bentonite that are commonly found in the ocean. In the roller tanks, Synechococcus cells formed aggregates with diameters of up to 1.4 mm and sinking velocities of up to 440 m/d, comparable to those of larger eukaryotic phytoplankton such as diatoms. In addition, the clay minerals increased the number but reduced the size of aggregates, and their ballasting effects increased the sinking velocity and the carbon export potential of the aggregates. Lastly, I investigated the effects of heterotrophic bacteria on the Synechococcus aggregation, and found that heterotrophic bacteria generally resulted in the formation of fewer, but larger and faster sinking aggregates, and eventually led to an enhanced aggregation of cells and particles. My study contributes to the understanding of the role of marine pico-cyanobacteria in the ecology and biogeochemistry of oligotrophic oceans.
ContributorsDeng, Wei (Author) / Neuer, Susanne (Thesis advisor) / Anbar, Ariel (Committee member) / Passow, Uta (Committee member) / Vermaas, Willem (Committee member) / Arizona State University (Publisher)
Created2016
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
Many acidic hot springs in Yellowstone National Park support microbial iron oxidation, reduction, or microbial iron redox cycling (MIRC), as determined by microcosm rate experiments. Microbial dissimilatory iron reduction (DIR) was detected in numerous systems with a pH < 4. Rates of DIR are influenced by the availability of ferric minerals and organic carbon. Microbial iron oxidation (MIO) was detected from pH 2 – 5.5. In systems with abundant Fe (II), dissolved oxygen controls the presence of MIO. Rates generally increase with increased Fe(II) concentrations, but rate constants are not significantly altered by additions of Fe(II). MIRC was detected in systems with abundant ferric mineral deposition.
The rates of microbial and abiological iron oxidation were determined in a variety of cold (T= 9-12°C), circumneutral (pH = 5.5-9) environments in the Swiss Alps. Rates of MIO were measured in systems up to a pH of 7.4; only abiotic processes were detected at higher pH values. Iron oxidizing bacteria (FeOB) were responsible for 39-89% of the net oxidation rate at locations where biological iron oxidation was detected. Members of putative iron oxidizing genera, especially Gallionella, are abundant in systems where MIO was measured. Speciation calculations reveal that ferrous iron typically exists as FeCO30, FeHCO3+, FeSO40 or Fe2+ in these systems. The presence of ferrous (bi)carbonate species appear to increase abiotic iron oxidation rates relative to locations without significant concentrations. This approach, integrating geochemistry, rates, and community composition, reveals biogeochemical conditions that permit MIO, and locations where the abiotic rate is too fast for the biotic process to compete.
For a reaction to provide habitability for microbes in a given environment, it must energy yield and this energy must dissipate slowly enough to remain bioavailable. Thermodynamic boundaries exist at conditions where reactions do not yield energy, and can be quantified by calculations of chemical energy. Likewise, kinetic boundaries exist at conditions where the abiotic reaction rate is so fast that reactants are not bioavailable; this boundary can be quantified by measurements biological and abiological rates. The first habitability maps were drawn, using iron oxidation as an example, by quantifying these boundaries in geochemical space.
The rates of microbial and abiological iron oxidation were determined in a variety of cold (T= 9-12°C), circumneutral (pH = 5.5-9) environments in the Swiss Alps. Rates of MIO were measured in systems up to a pH of 7.4; only abiotic processes were detected at higher pH values. Iron oxidizing bacteria (FeOB) were responsible for 39-89% of the net oxidation rate at locations where biological iron oxidation was detected. Members of putative iron oxidizing genera, especially Gallionella, are abundant in systems where MIO was measured. Speciation calculations reveal that ferrous iron typically exists as FeCO30, FeHCO3+, FeSO40 or Fe2+ in these systems. The presence of ferrous (bi)carbonate species appear to increase abiotic iron oxidation rates relative to locations without significant concentrations. This approach, integrating geochemistry, rates, and community composition, reveals biogeochemical conditions that permit MIO, and locations where the abiotic rate is too fast for the biotic process to compete.
For a reaction to provide habitability for microbes in a given environment, it must energy yield and this energy must dissipate slowly enough to remain bioavailable. Thermodynamic boundaries exist at conditions where reactions do not yield energy, and can be quantified by calculations of chemical energy. Likewise, kinetic boundaries exist at conditions where the abiotic reaction rate is so fast that reactants are not bioavailable; this boundary can be quantified by measurements biological and abiological rates. The first habitability maps were drawn, using iron oxidation as an example, by quantifying these boundaries in geochemical space.
ContributorsSt Clair, Brian (Author) / Shock, Everett L (Thesis advisor) / Anbar, Ariel (Committee member) / Garcia-Pichel, Ferran (Committee member) / Hartnett, Hilairy (Committee member) / Arizona State University (Publisher)
Created2017
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
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
Description
Cyanobacteria and algae living inside carbonate rocks (endoliths) have long been considered major contributors to bioerosion. Some bore into carbonates actively (euendoliths); others simply inhabit pre-existing pore spaces (cryptoendoliths). While naturalistic descriptions based on morphological identification have traditionally driven the field, modern microbial ecology has shown that this approach is insufficient to assess microbial diversity or make functional inferences. I examined endolithic microbiomes using 16S rRNA genes and lipid-soluble photosynthetic pigments as biomarkers, with the goal of reassessing endolith diversity by contrasting traditional and molecular approaches. This led to the unexpected finding that in all 41 littoral carbonate microbiomes investigated around Isla de Mona (Puerto Rico) and Menorca (Spain) populations of anoxygenic phototrophic bacteria (APBs) in the phyla Chloroflexi and Proteobacteria, were abundant, even sometimes dominant over cyanobacteria. This was not only novel, but it suggested that APBs may have been previously misidentified as morphologically similar cyanobacteria, and opened questions about their potential role as euendoliths. To test the euendolithic role of photosynthetic microbes, I set a time-course experiment exposing virgin non-porous carbonate substrate in situ, under the hypothesis that only euendoliths would be able to initially colonize it. This revealed that endolithic microbiomes, similar in biomass to those of mature natural communities, developed within nine months of exposure. And yet, APB populations were still marginal after this period, suggesting that they are secondary colonizers and not euendolithic. However, elucidating colonization dynamics to a sufficiently accurate level of molecular identification among cyanobacteria required the development of a curated cyanobacterial 16S rRNA gene reference database and web tool, Cydrasil. I could then detect that the pioneer euendoliths were in a novel cyanobacterial clade (named UBC), immediately followed by cyanobacteria assignable to known euendoliths. However, as bioerosion proceeded, a diverse set of likely cryptoendolithic cyanobacteria colonized the resulting pore spaces, displacing euendoliths. Endolithic colonization dynamics are thus swift but complex, and involve functionally diverse agents, only some of which are euendoliths. My work contributes a phylogenetically sound, functionally more defined understanding of the carbonate endolithic microbiome, and more specifically, Cydrasil provides a user-friendly framework to routinely move beyond morphology-based cyanobacterial systematics.
ContributorsRoush, Daniel (Author) / Garcia-Pichel, Ferran (Thesis advisor) / Anbar, Ariel (Committee member) / Cadillo-Quiroz, Hinsby (Committee member) / Cao, Huansheng (Committee member) / Arizona State University (Publisher)
Created2020
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