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      Molecular Framework of a Regulatory Circuit Initiating Two-Dimensional Spatial Patterning of Stomatal Lineage

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          Abstract

          Stomata, valves on the plant epidermis, are critical for plant growth and survival, and the presence of stomata impacts the global water and carbon cycle. Although transcription factors and cell-cell signaling components regulating stomatal development have been identified, it remains unclear as to how their regulatory interactions are translated into two-dimensional patterns of stomatal initial cells. Using molecular genetics, imaging, and mathematical simulation, we report a regulatory circuit that initiates the stomatal cell-lineage. The circuit includes a positive feedback loop constituting self-activation of SCREAMs that requires SPEECHLESS. This transcription factor module directly binds to the promoters and activates a secreted signal, EPIDERMAL PATTERNING FACTOR2, and the receptor modifier TOO MANY MOUTHS, while the receptor ERECTA lies outside of this module. This in turn inhibits SPCH, and hence SCRMs, thus constituting a negative feedback loop. Our mathematical model accurately predicts all known stomatal phenotypes with the inclusion of two additional components to the circuit: an EPF2-independent negative-feedback loop and a signal that lies outside of the SPCH•SCRM module. Our work reveals the intricate molecular framework governing self-organizing two-dimensional patterning in the plant epidermis.

          Author Summary

          Generation of self-organized, functional tissue patterns is critical for development and regeneration in multicellular organisms. Small valves on the epidermis of land plants, called stomata, mediate gas-exchange while minimizing water loss. Density and spacing of stomata are regulated by transcription factors that drive differentiation as well as by cell-cell signaling components that regulate entry and spacing of stomatal lineage cells. To unravel how interaction of these components translates into two-dimensional patterning of stomata, we have taken an integrative approach employing molecular genetics, imaging, and mathematical modeling. In this paper we have identified a regulatory circuit controlling the initiation of the stomatal cell lineage. The key elements of the circuit are a positive feedback loop constituting self-activation of the transcription factors SCREAM / SCREAM2 (SCRMs) that requires SPEECHLESS (SPCH), and a negative feedback loop involving the signaling ligand EPF2, the receptor modifier TOO MANY MOUTHS, and the SPCH•SCRMs module. The receptor ERECTA, on the other hand, lies outside of the regulatory loop. Our mathematical modeling recapitulated all known stomatal phenotypes with the addition of two regulatory nodes. This work highlights the molecular framework of a self-organizing patterning system in plants.

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          Most cited references46

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          Reaction-diffusion model as a framework for understanding biological pattern formation.

          The Turing, or reaction-diffusion (RD), model is one of the best-known theoretical models used to explain self-regulated pattern formation in the developing animal embryo. Although its real-world relevance was long debated, a number of compelling examples have gradually alleviated much of the skepticism surrounding the model. The RD model can generate a wide variety of spatial patterns, and mathematical studies have revealed the kinds of interactions required for each, giving this model the potential for application as an experimental working hypothesis in a wide variety of morphological phenomena. In this review, we describe the essence of this theory for experimental biologists unfamiliar with the model, using examples from experimental studies in which the RD model is effectively incorporated.
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            Stomatal development and patterning are regulated by environmentally responsive mitogen-activated protein kinases in Arabidopsis.

            Stomata are specialized epidermal structures that regulate gas (CO(2) and O(2)) and water vapor exchange between plants and their environment. In Arabidopsis thaliana, stomatal development is preceded by asymmetric cell divisions, and stomatal distribution follows the one-cell spacing rule, reflecting the coordination of cell fate specification. Stomatal development and patterning are regulated by both genetic and environmental signals. Here, we report that Arabidopsis MITOGEN-ACTIVATED PROTEIN KINASE3 (MPK3) and MPK6, two environmentally responsive mitogen-activated protein kinases (MAPKs), and their upstream MAPK kinases, MKK4 and MKK5, are key regulators of stomatal development and patterning. Loss of function of MKK4/MKK5 or MPK3/MPK6 disrupts the coordinated cell fate specification of stomata versus pavement cells, resulting in the formation of clustered stomata. Conversely, activation of MKK4/MKK5-MPK3/MPK6 causes the suppression of asymmetric cell divisions and stomatal cell fate specification, resulting in a lack of stomatal differentiation. We further establish that the MKK4/MKK5-MPK3/MPK6 module is downstream of YODA, a MAPKKK. The establishment of a complete MAPK signaling cascade as a key regulator of stomatal development and patterning advances our understanding of the regulatory mechanisms of intercellular signaling events that coordinate cell fate specification during stomatal development.
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              Brassinosteroid signal transduction from receptor kinases to transcription factors.

              Brassinosteroids (BRs) are growth-promoting steroid hormones in plants. Genetic studies in Arabidopsis illustrated the essential roles of BRs in a wide range of developmental processes and helped identify many genes involved in BR biosynthesis and signal transduction. Recently, proteomic studies identified missing links. Together, these approaches established the BR signal transduction cascade, which includes BR perception by the BRI1 receptor kinase at the cell surface, activation of BRI1/BAK1 kinase complex by transphosphorylation, subsequent phosphorylation of the BSK kinases, activation of the BSU1 phosphatase, dephosphorylation and inactivation of the BIN2 kinase, and accumulation of unphosphorylated BZR transcription factors in the nucleus. Mass spectrometric analyses are providing detailed information on the phosphorylation events involved in each step of signal relay. Thus, the BR signaling pathway provides a paradigm for understanding receptor kinase-mediated signal transduction as well as tools for the genetic improvement of the productivity of crop plants.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                23 July 2015
                July 2015
                : 11
                : 7
                : e1005374
                Affiliations
                [1 ]Howard Hughes Medical Institute, University of Washington, Seattle, Washington, United States of America
                [2 ]Department of Biology, University of Washington, Seattle, Washington, United States of America
                [3 ]National Institute for Basic Biology, Okazaki, Aichi, Japan
                Wageningen University, NETHERLANDS
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: KUT JSL RJH MK. Performed the experiments: RJH JSL ALR JMG KMP KUT. Analyzed the data: RJH JSL ALR HF KUT. Contributed reagents/materials/analysis tools: JSL RJH ALR JMG KMP KUT. Wrote the paper: KUT HF. Performed mathematical modeling and computational simulation: HF. Supervised HF: MK. Performed ChIP and transactivation assays: RJH. Performed confocal microscopy: RJH JSL ALR KMP KUT. Generated plasmids and reporter lines: RJH ALR JT KUT. Performed peptide assays: JSL. Edited the manuscript: RJH MK.

                [¤a]

                Current Address: Department of Biology, Concordia University, Montreal, Quebec, Canada

                [¤b]

                Current Address: Prometrika, LLC, Cambridge, Massachusetts, United States of America

                [¤c]

                Current Address: Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America

                [¤d]

                Current Address: Harvard University Herbaria, Cambridge, Massachusetts, United States of America

                Article
                PGENETICS-D-14-03399
                10.1371/journal.pgen.1005374
                4512730
                26203655
                e13426a4-0d91-44b2-b35d-62d653c02c1f
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 21 December 2014
                : 19 June 2015
                Page count
                Figures: 5, Tables: 0, Pages: 23
                Funding
                This work was initially supported by JST PRESTO award and US NSF (MCB0855659), and currently by Gordon and Betty Moore Foundation (GBMF3035) to KUT and by JSPS Grant-in-Aid for Scientific Research on Innovative Areas (Grant Number 26113521) to HF. JSL was a Canadian NSERC Postdoctoral Fellow; RJH was a German DFG Postdoctoral Fellow; KMP was a US-NSF Graduate Research Fellow; KUT is an HHMI-GBMF Investigator and an Overseas Principal Investigator of the ITbM, Nagoya University, Japan. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Genetics
                Genetics

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