Genome sequencing has yielded unparalleled insights into fundamental biological processes and the genetics that guide them. In contrast to expectations that protein-coding genes would be the primary output of eukaryotic genomes, however, it is now clear that the vast majority of transcription is devoted to noncoding RNAs (ncRNAs). Although originally regarded as 'transcriptional noise', it is now clear that these transcripts are essential regulators of genetic activity. In this thesis I build upon the hypothesis that the genomes of eukaryotes encode a regulatory 'RNA machine' dominated by ncRNAs. In the Introduction (Chapter 1) I discuss how prior gene models may have inadvertently prevented a full understanding of ncRNAs, review the transcriptional landscape of eukaryotes, and examine the biogenesis and function of small regulatory RNAs. In support of a role for ncRNAs in complex metazoa, Chapter 2 presents data showing a positive correlation between the proportion of non-protein-coding DNA and biological complexity, suggesting that the evolutionary trajectory of intricate developmental phenotypes may have been facilitated by ncRNAs. In the following chapters two more 'gears' are added to the RNA machine. Chapter 3 details the discovery of snoRNA-derived RNAs - an evolutionarily ancient class of Argonaute-assocaited RNA whose biogenesis overlaps with microRNAs (miRNAs) and silencing RNAs (siRNAs). Likewise, Chapter 4 reports a new class of ~18 nt transcription initiation RNAs (tiRNAs) derived from regions proximal to transcription start sites. tiRNAs are enriched at GC-rich promoters and regions of active transcription, implicating them in transcriptional regulation. Chapter 5 presents evidence that tiRNAs are restricted to metazoa, and describes a model of RNA Polymerase II dependent tiRNA biogenesis. This thesis concludes with a general discussion of the implications of these findings, and the potential development of RNA therapeutics. Gathering evidence suggests that eukaryotic genomes are driven by a complex and interwoven network of RNA regulatory feedback loops. This thesis takes a small step towards developing a complete picture of this system.
Identifer | oai:union.ndltd.org:ADTP/279304 |
Creators | Ryan Taft |
Source Sets | Australiasian Digital Theses Program |
Detected Language | English |
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