Model-driven discovery of calcium-related protein-phosphatase inhibition in plant guard cell signaling

Parul Maheshwari, Hao Du, Jen Sheen, Sarah M Assmann and Reka Albert

PLOS Computational Biology, 2019, vol. 15, issue 10, 1-28

Abstract: The plant hormone abscisic acid (ABA) promotes stomatal closure via multifarious cellular signaling cascades. Our previous comprehensive reconstruction of the stomatal closure network resulted in an 81-node network with 153 edges. Discrete dynamic modeling utilizing this network reproduced over 75% of experimental observations but a few experimentally supported results were not recapitulated. Here we identify predictions that improve the agreement between model and experiment. We performed dynamics-preserving network reduction, resulting in a condensed 49 node and 113 edge stomatal closure network that preserved all dynamics-determining network motifs and reproduced the predictions of the original model. We then utilized the reduced network to explore cases in which experimental activation of internal nodes in the absence of ABA elicited stomatal closure in wet bench experiments, but not in our in silico model. Our simulations revealed that addition of a single edge, which allows indirect inhibition of any one of three PP2C protein phosphatases (ABI2, PP2CA, HAB1) by cytosolic Ca2+ elevation, resolves the majority of the discrepancies. Consistent with this hypothesis, we experimentally show that Ca2+ application to cellular lysates at physiological concentrations inhibits PP2C activity. The model augmented with this new edge provides new insights into the role of cytosolic Ca2+ oscillations in stomatal closure, revealing a mutual reinforcement between repeated increases in cytosolic Ca2+ concentration and a self-sustaining feedback circuit inside the signaling network. These results illustrate how iteration between model and experiment can improve predictions of highly complex cellular dynamics.Author summary: We build on the foundation of a comprehensive discrete dynamic model of a plant signaling network that governs the closing of microscopic stomatal pores on the surface of leaves. That network captured the vast majority of experimental observations regarding closure in response to a specific signal, the hormone abscisic acid, which elicits stomatal closure during drought, thereby promoting plant water conservation. Here, we identify a knowledge gap in understanding experimentally observed stomatal closure in response to activation of internal nodes in the network. In contrast to the expectation that these nodes might be positioned along a linear pathway, we find that the knowledge gap can be filled by reinforcement of a feedback-rich subnetwork. Specifically, we predict that cytosolic calcium elevation can inhibit one or more of three 2C-type protein phosphatases, and confirm this prediction experimentally. The model augmented with this new information recapitulates experimental observations on internal node activation, via a mechanism that is potentially generalizable to other biological networks. Key to this mechanism is a mutual reinforcement between two feedback loops, one that generates a repetitive activity pattern, and another that preserves a sustained activity pattern.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1007429

DOI: 10.1371/journal.pcbi.1007429

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