Temperature sensitivity as a microbial trait
| dc.contributor.author | Alster, Charlotte J., author | |
| dc.contributor.author | von Fischer, Joseph, advisor | |
| dc.contributor.author | Cotrufo, Francesca, committee member | |
| dc.contributor.author | Smith, Melinda, committee member | |
| dc.contributor.author | Wallenstein, Matthew, committee member | |
| dc.date.accessioned | 2017-09-14T16:04:24Z | |
| dc.date.available | 2018-09-12T16:04:38Z | |
| dc.date.issued | 2017 | |
| dc.description | Zip file contains data spreadsheet. | |
| dc.description.abstract | Reaction rates in biological systems are strongly controlled by temperature, yet the degree to which temperature sensitivity varies for different enzymes and microorganisms is being largely reformulated. The Arrhenius equation is the most commonly used model over the last century that predicts reaction rate response with temperature. However, the Arrhenius equation does not account for large heat capacities associated with enzymes in biological reactions, thus creating significant deviations from predicted reaction rates. A relatively new model, Macromolecular Rate Theory (MMRT), modifies the Arrhenius equation by accounting for the temperature dependence of these large heat capacities found in biological reactions. Using the MMRT model I have developed a novel framework to assess temperature sensitivity as a biological trait through a series of experiments. This work provides evidence that microbes and enzymes can have distinct heat capacities, and thus distinct temperature sensitivities, independent of their external environment. I first assessed temperature sensitivity of soil CO2 production from different soil microbial communities and then worked with pure cultures to examine temperature sensitivity of enzyme activities from soil microbial isolates. From these experiments I determined that temperature sensitivity varies based on genetic variation of the microbe and substrate type as well as examined the importance of using MMRT over the Arrhenius equation. Finally, I used a meta-analysis to analyze the distribution of temperature sensitivity traits to look across a variety of biological systems (e.g., the food industry, wastewater treatment, soils). I found that temperature sensitivity traits vary with organism type, environment, process type, and biodiversity. Exploring temperature sensitivity as a trait allows for new insights of soil microbes from an ecological perspective as well has the potential to inform ecosystem climate models. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.format.medium | ZIP | |
| dc.format.medium | XLSX | |
| dc.identifier | Alster_colostate_0053A_14261.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/183898 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Temperature sensitivity as a microbial trait | |
| dc.type | Text | |
| dcterms.embargo.expires | 2018-09-12 | |
| dcterms.embargo.terms | 2018-09-12 | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Ecology | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |