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Edinburgh, Scotland, United Kingdom - TAIR

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Dynamic modeling of the signal transduction<br />

network corresponding to abscisic acid<br />

induced stomatal closure in Arabidopsis<br />

thaliana<br />

During drought, the plant hormone abscisic acid (ABA) inhibits stomatal opening<br />

and promotes stomatal closure, thereby promoting water conservation. This talk<br />

will present a discrete dynamic model of ABA-induced stomatal closure based on<br />

a reconstruction of the signal transduction network corresponding to this process.<br />

Our model captures the regulation of more than forty identified network<br />

components, and accords well with previous experimental results at both the<br />

pathway and whole cell physiological level. By simulating gene disruptions and<br />

pharmacological interventions we find that the network is robust against a<br />

significant fraction of possible perturbations. Our model predicts that the disruption<br />

of membrane depolarizability, anion efflux, actin cytoskeleton<br />

reorganization, cytosolic pH increase, the phosphatidic acid pathway or of K +<br />

efflux through slowly activating channels lead to the strongest reduction in ABA<br />

responsiveness. We experimentally tested and validated one of these<br />

predictions. We are currently extending the model by performing protein-protein<br />

interaction assays, by theoretical analysis of the dynamical behaviors allowed by<br />

the model, and by synthesizing the signal transduction network corresponding to<br />

light induced stomatal opening. Our model offers a roadmap for the identification<br />

of manipulations that have the best chance of conferring increased drought<br />

stress tolerance and for the prioritization of future experiments. Several steps of<br />

this work have now been formalized into software applications.<br />

1 Li, S., Assmann, S. M. & Albert, R.2006. Predicting essential components of<br />

signal transduction networks: A dynamic model of guard cell abscisic acid<br />

signaling, PLoS Biology 4: e312.<br />

2 Kachalo, S., Zhang, R., Sontag, E. D., Albert, R., DasGupta, B. 2008. NET-<br />

SYNTHESIS: A software for synthesis, inference and simplification of signal<br />

transduction networks. Bioinformatics 24:293-295.<br />

3 Albert, I., Thakar, J., Li, S., Zhang, R. and Albert, R. 2008. Boolean network<br />

simulations for life scientists, Source Code for Biology and Medicine 3, 16.<br />

88<br />

C37<br />

Saturday 14:30 - 15:00<br />

Systems Biology<br />

Reka Albert<br />

Song Li<br />

Assieh Saadatpour-<br />

Moghaddam<br />

Zhongyao Sun<br />

Biswa Acharya<br />

Sarah Assmann<br />

Pennsylvania State<br />

University<br />

University Park<br />

PA<br />

USA

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