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Filtering by: Creator Fernandes, Afra Margaret Remove constraint Creator: Fernandes, Afra Margaret Academic Affiliation Microbiology Remove constraint Academic Affiliation: Microbiology License All rights reserved Remove constraint License: All rights reserved

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  • The Influence of Microbial Communities on Spatiotemporal Elemental Cycling in Coastal Margins Revealed by Community- and Population-level Genomics and Proteomics

    Creator:
    Kieft, Brandon P.
    Abstract:
    Biotic and abiotic processes at continent-ocean interfaces cycle a disproportionate mass of carbon and nutrients relative to their global surface area, and microbial activity is a principal determinant of organic and inorganic matter flux in these transition zones. Most studies using modern high-throughput ‘omics techniques to link microorganisms with costal...
    Resource Type:
    Dissertation
    Full Text:
    of Microbiology (Margaret and Charles Black Scholarship). My advisor, Dr. Ryan Mueller, deserves

  • Effects of Anthropogenic Stressors on Seagrass and Coral Microbiomes

    Creator:
    Wang, Lu
    Abstract:
    Seagrasses and coral reefs play important roles in nutrient cycling, coastal protection, and maintaining marine biodiversity. However, these coastal marine organisms are declining globally due to anthropogenic stressors, such as rising ocean temperatures, ocean acidification, and eutrophication. These organisms live in close association with their microbiomes, which can be beneficial...
    Resource Type:
    Dissertation
    Full Text:
    Estuarine Research Reserve (Margaret Davidson Fellowship FY2019 Spring Quarter), and the Oregon Shell Club

  • Harnessing Heterogeneity in Human Gut Microbiome Data

    Creator:
    Tataru, Christine
    Abstract:
    The focus of this thesis is to design, characterize, and apply novel computational methods and molecular systems to interrogate heterogeneous human gut microbiome-related phenomena. In Chapter 2, I design, implement, and characterize a method for embedding co-occurrence patterns derived from massive 16s amplicon datasets. I use this method to 1....
    Resource Type:
    Dissertation