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First published online November 30, 2009; 10.1105/tpc.109.069013

The Plant Cell 21:3459-3472 (2009)
© 2009 American Society of Plant Biologists

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Computational Modeling and Molecular Physiology Experiments Reveal New Insights into Shoot Branching in Pea[C],[W]

Elizabeth A. Duna, Jim Hananb and Christine A. Beveridgea,1

a The University of Queensland, Australian Research Council Centre of Excellence for Integrative Legume Research and School of Biological Sciences, St. Lucia, 4072 Australia
b The University of Queensland, Centre for Biological Information Technology, St. Lucia, 4072 Australia

1 Address correspondence to c.beveridge{at}uq.edu.au.

Bud outgrowth is regulated by the interplay of multiple hormones, including auxin, cytokinin, strigolactones, and an unidentified long-distance feedback signal that moves from shoot to root. The model of bud outgrowth regulation in pea (Pisum sativum) includes these signals and a network of five RAMOSUS (RMS) genes that operate in a shoot-root-shoot loop to regulate the synthesis of, and response to, strigolactones. The number of components in this network renders the integration of new and existing hypotheses both complex and cumbersome. A hypothesis-driven computational model was therefore developed to help understand regulation of shoot branching. The model evolved in parallel with stepwise laboratory research, helping to define and test key hypotheses. The computational model was used to verify new mechanisms involved in the regulation of shoot branching by confirming that the new hypotheses captured all relevant biological data sets. Based on cytokinin and RMS1 expression analyses, this model is extended to include subtle but important differences in the function of RMS3 and RMS4 genes in the shoot and rootstock. Additionally, this research indicates that a branch-derived signal upregulates RMS1 expression independent of the other feedback signal. Furthermore, we propose xylem-sap cytokinin promotes sustained bud outgrowth, rather than acting at the earlier stage of bud release.


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Using Hypothesis-Driven Modeling to Understand Branching
Nancy R. Hofmann
Plant Cell 2009 21: 3415. [Full Text]  



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N. R. Hofmann
Using Hypothesis-Driven Modeling to Understand Branching
PLANT CELL, November 1, 2009; 21(11): 3415 - 3415.
[Full Text] [PDF]




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