The Mathematical Institute, University of Oxford, Eprints Archive

Inference of the genetic network regulating lateral root initiation in Arabidopsis thaliana

Muraro, D. and Voß, U. and Wilson, M. and Bennett, M. and Byrne, H. M. and de Smet, I. and Hodgman, C. and King, J. R. (2012) Inference of the genetic network regulating lateral root initiation in Arabidopsis thaliana. Transactions on Computational Biology and Bioinformatics . (Submitted)



Regulation of gene expression is crucial for organism growth, and it is one of the challenges in Systems Biology to reconstruct the underlying regulatory biological networks from transcriptomic data. The formation of lateral roots in Arabidopsis thaliana is stimulated by a cascade of regulators of which only the interactions of its initial elements have been identified. Using simulated gene expression data with known network topology, we compare the performance of inference algorithms, based on different approaches, for which ready-to-use software is available. We show that their performance improves with the network size and the inclusion of mutants. We then analyse two sets of genes, whose activity is likely to be relevant to lateral root initiation in Arabidopsis, by integrating sequence analysis with the intersection of the results of the best performing methods on time series and mutants to infer their regulatory network. The methods applied capture known interactions between genes that are candidate regulators at early stages of development. The network inferred from genes significantly expressed during lateral root formation exhibits distinct scale-free, small world and hierarchical properties and the nodes with a high out-degree may warrant further investigation.

Item Type:Article
Subjects:D - G > General
Research Groups:Oxford Centre for Collaborative Applied Mathematics
ID Code:1648
Deposited By: Peter Hudston
Deposited On:05 Jan 2013 10:20
Last Modified:29 May 2015 19:20

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