University of Illinois at Urbana-Champaign
Strategies for the genetic characterization of the oral streptococci
Abstract
dc:descriptionThe oral streptococci make up a diverse community of Gram-positive bacteria that inhabit the human oral cavity. Members of the oral streptococci include dental pathogens, like Streptococcus mutans and Streptococcus sobrinus, as well as commensal bacteria, like Streptococcus salivarius, which produce a broad range of antimicrobial compounds effective against human pathogens. However, the complex genetic circuits of these microbes, which govern metabolism, virulence, community-level communication, and stress responses, remain poorly understood. Central to this knowledge deficit is the lack of tools available for the genetic characterization of the oral streptococci. In this dissertation, I develop synthetic biology tools and experimental methods that can be used to characterize genetic systems in the oral streptococci by modulating genetic inputs and measuring transcriptomic outputs. Using a novel, Golden Gate-compatible gene expression chassis designed specifically for the oral streptococci, I assembled thousands of combinatorial gene expression cassettes derived from an initial collection of 6,646 promoters, 22 ribosome binding sites (RBS), and 6 open reading frames (ORFs); and characterized their transcriptional and translational strengths. From these data, I provide a set of 12 characterized promoters for controlling transcription and 15 characterized promoter-RBS combinations for fine-tuned control of protein expression in S. mutans. In the interest of addressing the high labor and monetary costs of current prokaryotic transcriptomic library preps, I describe Splintlock-seq, a novel library prep technology based on the activity of SplintR ligase on padlock probes targeting 95% of the entire annotated transcriptome for S. mutans UA159. I demonstrate how top-down, automated padlock probe design can be combined with next-generation sequencing assays to achieve a characterized probe pool capable of identifying differentially-expressed genes in S. mutans. Splintlock-seq is shown to produce comparable transcriptomic profiling data to RNA-seq, but for a fraction of the overall cost.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Bioengineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wyllie, Ryan M
- Contributors dc:contributor
-
- Jensen, Paul A
- Perez-Pinera, Pablo
- Sirk, Shannon
- Miller, Michael
Subjects
dc:subject × 6Rights
dc:rights- Statement dc:rights
-
- Copyright 2022 Ryan M. Wyllie, please embargo for the maximum amount of time
- Language dc:language
- en, eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/2142/115874