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Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots

Muraro, Daniele, Mellor, Nathan, Pound, Michael P., Help, Hanna, Lucas, Mikael, Chopard, Jerome, Byrne, Helen M., Godin, Christophe, Hodgman, T. Charlie, King, John R., Pridmore, Tony P., Helariutta, Ykä, Bennett, Malcolm J. and Bishopp, Anthony 2014. Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots. Proceedings of the National Academy of Sciences of the United States of America 111 (2) , pp. 857-862. 10.1073/pnas.1221766111

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Abstract

As multicellular organisms grow, positional information is continually needed to regulate the pattern in which cells are arranged. In the Arabidopsis root, most cell types are organized in a radially symmetric pattern; however, a symmetry-breaking event generates bisymmetric auxin and cytokinin signaling domains in the stele. Bidirectional cross-talk between the stele and the surrounding tissues involving a mobile transcription factor, SHORT ROOT (SHR), and mobile microRNA species also determines vascular pattern, but it is currently unclear how these signals integrate. We use a multicellular model to determine a minimal set of components necessary for maintaining a stable vascular pattern. Simulations perturbing the signaling network show that, in addition to the mutually inhibitory interaction between auxin and cytokinin, signaling through SHR, microRNA165/6, and PHABULOSA is required to maintain a stable bisymmetric pattern. We have verified this prediction by observing loss of bisymmetry in shr mutants. The model reveals the importance of several features of the network, namely the mutual degradation of microRNA165/6 and PHABULOSA and the existence of an additional negative regulator of cytokinin signaling. These components form a plausible mechanism capable of patterning vascular tissues in the absence of positional inputs provided by the transport of hormones from the shoot.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Subjects: Q Science > QK Botany
Uncontrolled Keywords: mathematical modeling; plant development
Publisher: National Academy of Sciences
ISSN: 0027-8424
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 5 December 2013
Last Modified: 18 Feb 2019 14:42
URI: http://orca-mwe.cf.ac.uk/id/eprint/57717

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