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Lessons from the microbiome in health and in death

Abstract

The work presented in this dissertation explores two very different microbial ecosystems found within the broad field of microbiome science–tumors and cadavers. In health, recently described low-biomass tumor-associated microbial communities are implicated in disease, and therefore microbial intervention may represent a therapeutic target. In death, the microbial decomposers of human remains show potential as a novel forensic tool that could help solve homicide cases and provide relief to the families of victims. In Chapter 1, I give a brief review of each of my research areas and summarize current knowledge gaps that exist within these fields to help provide additional context for my work in Chapters 2–4. In Chapter 2, I use 16S rRNA gene amplicon sequencing to characterize the microbiome of mucin-secreting Pseudomyxoma peritonei human tumors, focusing on microbial contamination and data reproducibility. Moving away from human health and the tumor microbiome, Chapter 3 investigates the spatial and temporal responses of microbial communities found in soil near decomposing cadavers. Finally, in Chapter 4, I explore the effects of enclosed shelter on the cadaver microbiome during human decomposition and develop microbiome-based models to estimate the postmortem interval, or time since death. In summary, my dissertation presents new and valuable insights into microbial community structure and assembly in health and in death and provides new tools for assessing environmental contamination that afflict low-biomass samples and for estimating time since death using microbial-based machine learning models.

Description

Zip file contains appendixes A and B spreadsheets.

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Subject

cancer
machine learning
tumor microbiome
forensics
cadaver microbiome
reproducibility

Citation

Associated Publications