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Dev Cell. 2014 May 12;29(3):360-72. doi: 10.1016/j.devcel.2014.04.004.

A mesoscale abscisic acid hormone interactome reveals a dynamic signaling landscape in Arabidopsis.

Author information

1
Cell & Systems Biology, University of Toronto and the Centre for The Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON M5S 3B2, Canada.
2
Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada.
3
Banting and Best Department of Medical Research, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.
4
Botany and Plant Sciences, Chemistry Genomics Building, University of California, Riverside, Riverside, CA 92521, USA.
5
Agriculture and Agrifood Canada, 960 Carling Avenue, Ottawa, ON K1A 06C, Canada.
6
Cell & Systems Biology, University of Toronto and the Centre for The Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON M5S 3B2, Canada; Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada.
7
Cell & Systems Biology, University of Toronto and the Centre for The Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON M5S 3B2, Canada. Electronic address: darrell.desveaux@utoronto.ca.
8
Cell & Systems Biology, University of Toronto and the Centre for The Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON M5S 3B2, Canada. Electronic address: peter.mccourt@utoronto.ca.

Abstract

The sesquiterpenoid abscisic acid (ABA) mediates an assortment of responses across a variety of kingdoms including both higher plants and animals. In plants, where most is known, a linear core ABA signaling pathway has been identified. However, the complexity of ABA-dependent gene expression suggests that ABA functions through an intricate network. Here, using systems biology approaches that focused on genes transcriptionally regulated by ABA, we defined an ABA signaling network of over 500 interactions among 138 proteins. This map greatly expanded ABA core signaling but was still manageable for systematic analysis. For example, functional analysis was used to identify an ABA module centered on two sucrose nonfermenting (SNF)-like kinases. We also used coexpression analysis of interacting partners within the network to uncover dynamic subnetwork structures in response to different abiotic stresses. This comprehensive ABA resource allows for application of approaches to understanding ABA functions in higher plants.

PMID:
24823379
DOI:
10.1016/j.devcel.2014.04.004
[Indexed for MEDLINE]
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