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Title: Comparative analysis of strategies for building an Arabidopsis gene network modelling the jasmonate response
Author: Libertini, Emanuele
ISNI:       0000 0004 2748 1748
Awarding Body: University of London
Current Institution: Royal Holloway, University of London
Date of Award: 2010
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The jasmonate (JA)-dependent signalling gene network in Arabidopsis thaliana differentially regulates responses to biotic (e.g. pathogens, wounding) and abiotic (e.g. drought) stress. In this study, three transcriptional networks using gene expression data (a large data set of microarray experiments) have been constructed in order to model the interactions between individual genes. The modelling procedures make use of gene co-expression signatures measured by partial correlation. This study presents the novel idea of integrating these signatures by generating edges between two genes in the network on the basis of profiles of partial correlations to a curated set of genes known to be involved in the response. The networks assess the interactions between regulators in the JA pathway and their cross-talk with other hormone-dependent pathways. The results confirm previously known relationships between genes based on experimental evidence and highlight additional connections to test experimentally. This method gives new insights for the discovery of novel genes in the transcriptional coordination of the JA signalling pathway.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Genetics