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Peatlands are significant global carbon sinks, where plant litter accumulation outpaces the rate of microbial degradation, which can result in significant emissions of methane and carbon dioxide. The Pastaza-Marañón foreland basin (PMFB) in the western Amazon contains the largest expanse of tropical peatlands in South America, characterized by a diversity

Peatlands are significant global carbon sinks, where plant litter accumulation outpaces the rate of microbial degradation, which can result in significant emissions of methane and carbon dioxide. The Pastaza-Marañón foreland basin (PMFB) in the western Amazon contains the largest expanse of tropical peatlands in South America, characterized by a diversity of soil properties, including pH and mineral concentration. The PMFB is predicted to decrease in its carbon capture capacity along with a rise in greenhouse gas emissions as the climate changes. Therefore, it is imperative to understand the impact that soil properties have on the abundance of functions, microbial physiology, and interspecies interactions between microbial community members. Metagenomic sequencing of soil samples from three geochemically distinct peatlands revealed site-specific enrichment of functions related to carbon, nitrogen, phosphorus, and sulfur cycling. Additionally, 519 metagenome-assembled genomes (MAGs) were recovered, revealing variations in microbial populations responsible for organic matter degradation and nutrient (nitrogen and sulfur) cycling across sites. From these MAGs, a novel family within the Bathyarchaeia was identified, Candidatus Paludivitaceae. This family is putatively capable of carboxydotrophy, able to use CO for energy and biomass. Subsequently they could detoxify the environment of CO benefiting other community members and playing an indirect role in modulating carbon cycling. To experimentally investigate interactions of peatland microbes, co-culture experiments assessed the impact of carbon substrates (4-hydroxybenzoic acid, mannitol, and arginine) on microbial interactions from heterotrophs isolated from two geochemically distinct peatlands. Results indicate substrate and peatland type significantly influence nature and frequency of microbial interactions. The response of microbial genera to carbon substrate also varied showing the role of metabolic traits and substrate preferences in determining growth patterns of microbes. This research advances our understanding of microbial ecology in tropical peatlands and better informs predictions as the climate changes.
ContributorsPavia, Michael Joseph (Author) / Cadillo-Quiroz, Hinsby (Thesis advisor) / Bean, Heather (Committee member) / Bouskill, Nicholas (Committee member) / Penton, Christopher (Committee member) / Arizona State University (Publisher)
Created2024
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Description
Desert organisms lead harsh lives owing to the extreme, often unpredictable environmental conditions they endure. Climate change will likely make their existence even harsher. Predicting the ecological consequences of future climate scenarios thus requires understanding how the biota will be affected by climatic shifts. Biological soil crusts (biocrusts) are

Desert organisms lead harsh lives owing to the extreme, often unpredictable environmental conditions they endure. Climate change will likely make their existence even harsher. Predicting the ecological consequences of future climate scenarios thus requires understanding how the biota will be affected by climatic shifts. Biological soil crusts (biocrusts) are an important ecosystem component in arid lands, one that covers large portions of the landscape, improving soil stability and fertility. Because cyanobacteria are biocrust’s preeminent primary producers, eking out an existence during short pulses of precipitation, they represent a relevant global change object of study. I assessed how climate scenarios predicted for the Southwestern United States (US) will affect biocrusts using long-term, rainfall-modifying experimental set-ups that imposed either more intense drought, a seasonally delayed monsoon season, or a shift to smaller but more frequent precipitation events. I expected drought to be detrimental, but not a delay in the monsoon season. Surprisingly, both treatments showed similar effects on cyanobacterial community composition and population size after four years. While successionally incipient biocrusts were unaffected, mature biocrusts lost biomass and diversity with treatment, especially among nitrogen-fixing cyanobacteria. In separate experiments, I assessed the effect of rainfall with modified event size and frequency after a decade of treatment. Small, frequent rainfall events surprisingly enhanced the diversity and biomass of bacteria and cyanobacteria, with clear winners and losers: nitrogen-fixing Scytonema sp. benefited, while Microcoleus vaginatus lost its dominance. As an additional finding, I could also show that water addition is not always beneficial to biocrusts, calling into question the notion that these are strictly water-limited systems.

Finally, results interpretation was severely hampered by a lack of appropriate systematic treatment for an important group of biocrust cyanobacteria, the “Microcoleus steenstrupii complex”. I characterized the complex using a polyphasic approach, leading to the formal description of a new family (Porphyrosiphonaceae) of desiccation resistant cyanobacteria that includes 11 genera, of which 5 had to be newly described. Under the new framework, the distribution and abundance of biocrust cyanobacteria with respect to environmental conditions can now be understood. This body of work contributes significantly to explain current distributional patterns of biocrust cyanobacteria and to predict their fate in the face of climate change.
ContributorsMoreira Camara Fernandes, Vanessa (Author) / Garcia-Pichel, Ferran (Thesis advisor) / Rudgers, Jennifer (Committee member) / Sala, Osvaldo (Committee member) / Penton, Christopher (Committee member) / Arizona State University (Publisher)
Created2020
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Description
Precision agriculture (PA) integrating information technology arouses broad interests and has been extensively studied to increase crop production and quality. Sensor probe technology, as one of the PA technologies, provides people with accurate real-time data, which has become an essential part of precision agriculture. Herein a novel microbial sensor probe

Precision agriculture (PA) integrating information technology arouses broad interests and has been extensively studied to increase crop production and quality. Sensor probe technology, as one of the PA technologies, provides people with accurate real-time data, which has become an essential part of precision agriculture. Herein a novel microbial sensor probe (MiProbE) is applied to monitor and study the growth of tomatoes (Solanum lycopersicum L.) in real-time at germination and seedling stages. The result showed the raw Miprobe signals present day/night cycles. Alginate-coated probes effectively avoided signal response failure and were more sensitive to the treatments than uncoated probes. The probe signals from successfully germinated tomato seeds and non-germinated seeds were different, and the signal curve of the probe was closely related to the growth conditions of tomato seedlings. Specifically, the rising period of the probe signals coincided with the normal growth period of tomato seedlings. All probes exhibited sudden increases in signal strength after nutrient treatments; however, subsequent probe signals behaved differently: algae extract-treated probe signals maintained a high strength after the treatments; chemical fertilizer-treated probe signals decreased earlier after the treatments; chemical fertilizers and algae extract-treated probe signals also maintained a higher strength after the treatments. Moreover, the relationship between ash-free dry weight and the signal curve indicated that the signal strength positively correlates with the dry weight, although other biological activities can affect the probe signal at the same time. Further study is still needed to investigate the relationship between plant biomass and Miprobe signal.
ContributorsQi, Deyang (Author) / Weiss, Taylor (Thesis advisor) / Penton, Christopher (Committee member) / Park, Yujin (Committee member) / Arizona State University (Publisher)
Created2021