Rules and patterns of microbial community assembly

dc.contributor.authorBrown, Shawn Paulen_US
dc.date.accessioned2014-09-16T16:31:29Z
dc.date.available2014-09-16T16:31:29Z
dc.date.graduationmonthDecemberen_US
dc.date.issued2014-09-16
dc.date.published2014en_US
dc.description.abstractMicroorganisms are critically important for establishing and maintaining ecosystem properties and processes that fuel and sustain higher-trophic levels. Despite the universal importance of microbes, we know relatively little about the rules and processes that dictate how microbial communities establish and assemble. Largely, we rely on assumptions that microbial community establishment follow similar trajectories as plants, but on a smaller scale. However, these assumptions have been rarely validated and when validation has been attempted, the plant-based theoretical models apply poorly to microbial communities. Here, I utilized genomics-inspired tools to interrogate microbial communities at levels near community saturation to elucidate the rules and patterns of microbial community assembly. I relied on a community filtering model as a framework: potential members of the microbial community are filtered through environmental and/or biotic filters that control which taxa can establish, persist, and coexist. Additionally, I addressed whether two different microbial groups (fungi and bacteria) share similar assembly patterns. Similar dispersal capabilities and mechanisms are thought to result in similar community assembly rules for fungi and bacteria. I queried fungal and bacterial communities along a deglaciated primary successional chronosequence to determine microbial successional dynamics and to determine if fungal and bacterial assemblies are similar or follow trajectories similar to plants. These experiments demonstrate that not only do microbial community assembly dynamics not follow plant-based models of succession, but also that fungal and bacterial community assembly dynamics are distinct. We can no longer assume that because fungi and bacteria share small propagule sizes they follow similar trends. Further, additional studies targeting biotic filters (here, snow algae) suggest strong controls during community assembly, possibly because of fungal predation of the algae or because of fungal utilization of algal exudates. Finally, I examined various technical aspects of sequence-based ecological investigations. These studies aimed to improve microbial community data reliability and analyses.en_US
dc.description.advisorAri M. Jumpponenen_US
dc.description.degreeDoctor of Philosophyen_US
dc.description.departmentDivision of Biologyen_US
dc.description.levelDoctoralen_US
dc.identifier.urihttp://hdl.handle.net/2097/18324
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectFungien_US
dc.subjectBacteriaen_US
dc.subjectCommunity Assemblyen_US
dc.subjectNext-Generaion Sequencingen_US
dc.subjectBioinformaticsen_US
dc.subject.umiBioinformatics (0715)en_US
dc.subject.umiEcology (0329)en_US
dc.subject.umiMicrobiology (0410)en_US
dc.titleRules and patterns of microbial community assemblyen_US
dc.typeDissertationen_US

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