Monique E Hunter

Abstract The increasing use of metagenomic sequencing (MGS) for microbiome analysis has significantly advanced our understanding of microbial communities and their roles in various biological processes, including human health, environmental cycling, and disease. However, the inherent compositionality of MGS data, where the relative abundance of each taxa depends on the abundance of all other taxa, complicates the measurement of individual taxa and the interpretation of microbiome data.

Abstract Total and viable microbial cell counts are increasingly important for applications including live biotherapeutic products, food safety, and probiotics. In microbiology, cells are quantified using methods such as colony forming unit (CFU), flow cytometry, and polymerase chain reaction (PCR), but different methods measure different aspects of the cells (measurands), and results may not be directly comparable across methods.

Abstract This work explored the role of natural transformation – a mechanism by which bacteria uptake and express extracellular genes - in driving antibiotic resistance propagation in the human gut microbiome. The model extracellular antibiotic resistance gene (eARG) - a plasmid containing a kanamycin resistance (kanR) gene and a green fluorescence protein (GFP) gene - was dosed into pooled and homogenized human stool and incubated anaerobically.