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Capturing Antibiotic Resistance Genes in the Human Gut Microbiome After Probiotic and Antibiotic Exposures

dc.contributor.advisorWright, Gerard D
dc.contributor.authorGuitor, Allison Kate
dc.contributor.departmentBiochemistry and Biomedical Sciencesen_US
dc.date.accessioned2023-02-27T18:42:13Z
dc.date.available2023-02-27T18:42:13Z
dc.date.issued2023
dc.description.abstractAntibiotic-resistant bacteria and their often-untreatable infections are increasing globally. The determinants that confer reduced susceptibility to antibiotics are encoded in the genetic information, or genes, of bacteria. Sequencing-based approaches to identify antibiotic resistance genes (ARGs) in diverse environments, such as the gut microbiome, are limited in throughput and inaccessible due to high costs. The microbiome and its associated ARGs are shaped by many factors throughout early life, which have yet to be fully characterized. In this thesis, I developed an approach to capture ARGs in the gut microbiome and study the effect of various early-life exposures. First, I describe a set of over 37,000 probes to target over 2,000 ARGs. This targeted sequencing approach was designed and validated against samples of DNA isolated from multi-drug resistant bacteria. This probeset proved superior to metagenomic shotgun sequencing in capturing the rare portion of ARGs from a human gut microbiome sample. Second, I investigated the potential benefits of providing probiotics to infants born preterm in reducing antibiotic resistance in their gut microbiomes. Preterm infants that received probiotics had a reduced burden of ARGs associated with potentially pathogenic bacteria at 5 months of age compared to non-probiotic-supplemented preterm infants. Finally, I explored the potential consequences of macrolide antibiotic exposure on ARGs in the gut microbiome of children with diarrhoea in Botswana, Africa. Compared to the standard treatment for diarrhoea, a three-day dose of azithromycin did not result in an increased selection for ARGs after 60 days. This thesis tackles the challenge of comprehensively detecting antibiotic resistance in the gut microbiome. A better understanding of the impact of early-life exposures, including probiotic and antibiotic treatments, in the prevention or maintenance of ARGs in the gut microbiome of children will help reduce unnecessary selective pressures and the persistence of antibiotic resistance into later life.en_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
dc.description.degreetypeThesisen_US
dc.description.layabstractInfection rates associated with antibiotic-resistant bacteria are increasing. The traits that allow bacteria to survive antibiotics are encoded by their genetic information or genes. There is a wide diversity of antibiotic resistance mechanisms available to bacteria and comprehensive methods to detect them are needed. My work presents the development and validation of an approach to capture and sequence all known antibiotic resistance genes. With this tool, I investigated the early life exposures that shape antibiotic resistance in the diverse community of bacteria encompassing the human gut microbiome. First, I revealed the protective effects of providing beneficial bacteria, or probiotics, to preterm infants. Next, I uncovered a minimal impact of antibiotic treatment in selecting for antibiotic resistance genes in children with diarrhoea. Improved tools to understand antibiotic resistance in early-life and the factors that modulate its prevalence will help reduce the persistence of antibiotic-resistant bacteria in later life.en_US
dc.identifier.urihttp://hdl.handle.net/11375/28338
dc.language.isoenen_US
dc.subjectAntibiotic resistanceen_US
dc.subjectMicrobiomeen_US
dc.subjectProbioticsen_US
dc.subjectPreterm infantsen_US
dc.subjectAntibioticsen_US
dc.subjectNext-generation sequencingen_US
dc.titleCapturing Antibiotic Resistance Genes in the Human Gut Microbiome After Probiotic and Antibiotic Exposuresen_US
dc.title.alternativeFACTORS IMPACTING ANTIBIOTIC RESISTANCE IN THE MICROBIOMEen_US
dc.typeThesisen_US

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