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University of East Anglia

Computational Discovery and Analysis of rDNA Sequence Heterogeneity in Yeast

Abstract

dc:description.abstract

Ribosomal RNA genes, known as ribosomal DNA or rDNA, are commonly found in tandem arrays of hundreds of repeating units. The sequences of each unit in an array were thought to be near-identical but it is now known that frequent mutations may occur, causing heterogeneity amongst units. Opposing these divergent mutational processes, unit sequences are homogenised through concerted evolutionary processes such as unequal sister chromatid exchange (USCE) and gene conversion (GC). In this study Perl software has been used to uncover rDNA sequence variation in the yeast Saccharomyces paradoxus, using data derived from the Saccharomyces Genome Resequencing Project. This analysis, in conjunction with a reanalysis of the Saccharomyces cerevisiae data from the same project, has provided detailed information regarding rDNA sequence heterogeneity in two contrasting, yet closelyrelated yeast species. Additionally, the rDNA flanking sequences of four yeast strains have been characterised via an analysis of new next generation sequencing reads, adding to our knowledge of concerted evolutionary processes in these genomic regions. Partial Single Nucleotide Polymorphisms (pSNPs) within these datasets are shown to reflect genome mosaicism within a population, and to identify strains with signs of genome hybridisation undetectable by other means. This information provides further insights into the dynamics of the rDNA region in the two yeast species. In particular, examination of the percentage occupancies of pSNPs reveals U-shaped distributions which differ between the two species. Further investigations of rDNA evolutionary dynamics through the development of two Java simulation tools (SIMPLEX and CONCERTINA), which model USCE and GC events, follow the fate of both single and multiple pSNPs in one or more rDNA arrays. Initial simulations show the distribution of pSNPs varies depending upon the balance between mutations and concerted evolutionary events, and provide a framework to investigate the mechanisms involved in altered rDNA dynamics in various cellular processes.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
University of East Anglia
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • West, Claire Louise

Rights

Language dc:language
en

Chain of custody

source
Harvested from
University of East Anglia
Base URL
ueaeprints.uea.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

West, Claire Louise. Computational Discovery and Analysis of rDNA Sequence Heterogeneity in Yeast. doctoral thesis, University of East Anglia, 2013.