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Session 3 – Tools and Bioengineering<br />
S3.4- BradiNet: co-expression platform and comparative transcriptomics for<br />
Brachypodium<br />
Marek Mutwil 1, Richard Sibout 2, Herman Höfte 2 and Staffan Persson 1<br />
1 Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam –<br />
Golm, Germany<br />
2 Institut Jean-Pierre Bourgin, UMR1318-INRA-AgroParisTech, Centre de Versailles-Grignon,<br />
Route de St-Cyr, 78026 Versailles Cedex-France<br />
mutwil@mpimp-golm.mpg.de<br />
Abstract<br />
It is well documented that transcriptionally coordinated genes tend to be functionally<br />
related and that such relationships may be conserved across different species and even<br />
kingdoms. To exploit such relationships, we have performed microarray analysis of all<br />
major tissues during different developmental stages of Brachypodium distachyon. The<br />
data was used to create co-expression network for Brachypodium and included into<br />
PlaNet database (http://aranet.mpimp-golm.mpg.de/bradinet). One major problem<br />
with transferring knowledge from a model organism is that since plants harbor large gene<br />
families, standard phylogenetic methods might not be sufficient to identify functional<br />
homologs. To remedy this, we implemented a comparative network algorithm that<br />
estimates similarities between network structures. Thus, the platform can be used to swiftly<br />
infer similar coexpressed network vicinities within and across species and can predict the<br />
identity of functional homologs. We exemplify this with comparative analysis of<br />
Brachypodium cellulose synthase gene networks to find corresponding functional<br />
homologs between Arabidopsis, Brachypodium, Medicago, poplar, rice, soybean and<br />
wheat. The data support the contention that this platform will considerably improve<br />
transfer of knowledge between model organisms Arabidopsis and Brachypodium and<br />
crop species such as rice and wheat.<br />
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