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Mechanochemical Polarization of Contiguous Cell Walls Shapes Plant Pavement Cells
Swedish Univ Agr Sci, Dept Forest Genet & Plant Physiol, UPSC, S-90183 Umea, Sweden..
Swedish Univ Agr Sci, Dept Forest Genet & Plant Physiol, UPSC, S-90183 Umea, Sweden..
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Science for Life Laboratory, SciLifeLab.
Swedish Univ Agr Sci, Dept Forest Genet & Plant Physiol, UPSC, S-90183 Umea, Sweden..
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2017 (English)In: Developmental Cell, ISSN 1534-5807, E-ISSN 1878-1551, Vol. 43, no 3, p. 290-304Article in journal (Refereed) Published
Abstract [en]

The epidermis of aerial plant organs is thought to be limiting for growth, because it acts as a continuous load-bearing layer, resisting tension. Leaf epidermis contains jigsaw puzzle piece-shaped pavement cells whose shape has been proposed to be a result of subcellular variations in expansion rate that induce local buckling events. Paradoxically, such local compressive buckling should not occur given the tensile stresses across the epidermis. Using computational modeling, we show that the simplest scenario to explain pavement cell shapes within an epidermis under tension must involve mechanical wall heterogeneities across and along the anticlinal pavement cell walls between adjacent cells. Combining genetics, atomic force microscopy, and immunolabeling, we demonstrate that contiguous cell walls indeed exhibit hybrid mechanochemical properties. Such biochemical wall heterogeneities precede wall bending. Altogether, this provides a possible mechanism for the generation of complex plant cell shapes.

Place, publisher, year, edition, pages
2017. Vol. 43, no 3, p. 290-304
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Cell Biology
Identifiers
URN: urn:nbn:se:uu:diva-341938DOI: 10.1016/j.devcel.2017.10.017ISI: 000414584300008PubMedID: 29112850OAI: oai:DiVA.org:uu-341938DiVA, id: diva2:1184251
Funder
Swedish Research Council, VR2013-2343Swedish Research Council, VR2013-4632EU, European Research Council, 615739Available from: 2018-02-20 Created: 2018-02-20 Last updated: 2018-02-20Bibliographically approved

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Sintorn, Ida-Maria

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Computerized Image Analysis and Human-Computer InteractionDivision of Visual Information and InteractionScience for Life Laboratory, SciLifeLab
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