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University of Cambridge

High-throughput experimental and computational studies of bacterial evolution

Abstract

dc:description.abstract

The work in this thesis is concerned with the study of bacterial adaptation on short and long timescales. In the first section, consisting of three chapters, I describe a recently developed high-throughput technology for probing gene function, transposon-insertion sequencing, and its application to the study of functional differences between two important human pathogens, Salmonella enterica subspecies enterica serovars Typhi and Typhimurium. In a first study, I use transposon-insertion sequencing to probe differences in gene requirements during growth on rich laboratory media, revealing differences in serovar requirements for genes involved in iron-utilization and cell-surface structure biogenesis, as well as in requirements for non-coding RNA. In a second study I more directly probe the genomic features responsible for differences in serovar pathogenicity by analyzing transposon-insertion sequencing data produced following a two hour infection of human macrophage, revealing large differences in the selective pressures felt by these two closely related serovars in the same environment. The second section, consisting of two chapters, uses statistical models of sequence variation, i.e. covariance models, to examine the evolution of intrinsic termination across the bacterial kingdom. A first collaborative study provides background and motivation in the form of a method for identifying Rho-independent terminators using covariance models built from deep alignments of experimentally-verified terminators from Escherichia coli and Bacillus subtilis. In the course of the development of this method I discovered a novel putative intrinsic terminator in Mycobacterium tuberculosis. In the final chapter, I extend this approach to de novo discovery of intrinsic termination motifs across the bacterial phylogeny. I present evidence for lineage-specific variations in canonical Rho-independent terminator composition, as well as discover seven non-canonical putative termination motifs. Using a collection of publicly available RNA-seq datasets, I provide evidence for the function of some of these elements as bona fide transcriptional attenuators.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Barquist, Lars

Subjects

dc:subject × 11

Rights

dc:rights
Language dc:language
en_US

Identifiers

dc:identifier.*
DOI dc:identifier.doi
https://doi.org/10.17863/CAM.16351
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/245138

Chain of custody

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Cambridge University
Base URL
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Last updated
2026-07-22
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citation

Barquist, Lars. High-throughput experimental and computational studies of bacterial evolution. Doctoral thesis, University of Cambridge, 2014. https://doi.org/10.17863/CAM.16351