In order to identify expressologs (orthologs exhibiting the highest expression profile ranking) among a variety of plant species, bioinformatic methods were used in order to first identify sequence orthologs and subsequently to rank these orthologs based on expression profile similarity.
Analyses conducted on these data suggested that expressologs exhibited greater functional equivalency. A comparison of drought response in A. thaliana and Populus showed that expressologs exhibited a higher correlation when computed using stress data as opposed to developmental data. This suggested that the use of condition-specific data sets is more appropriate when examining specific conditions.
Analysis was conducted in order to investigate the hypothesis that neutral evolution was a predominant factor in gene expression divergence. Some evidence was found for selection acting on expression pattern maintenance. Further analysis will be required in order to confirm the type of selection acting to maintain expression patterns across species.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/29599 |
| Date | 25 August 2011 |
| Creators | Patel, Rohan |
| Contributors | Provart, Nicholas |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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