Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A SOSEKI-based coordinate system interprets global polarity cues in Arabidopsis

Saiko Yoshida, Alja van der Schuren, Maritza van Dop, Luc van Galen, Shunsuke Saiga, Milad Adibi, Barbara Möller, Peter Marhavy, Richard Smith, Jiri Friml, Dolf Weijers
doi: https://doi.org/10.1101/479113
Saiko Yoshida
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
2Institute of Science and Technology, Klosterneuburg, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: yoshida@mpipz.mpg.de dolf.weijers@wur.nl
Alja van der Schuren
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maritza van Dop
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Luc van Galen
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shunsuke Saiga
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Milad Adibi
3Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barbara Möller
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter Marhavy
2Institute of Science and Technology, Klosterneuburg, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard Smith
3Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jiri Friml
2Institute of Science and Technology, Klosterneuburg, Austria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dolf Weijers
1Laboratory of Biochemistry, Wageningen University, Stippeneng 4, Wageningen, the Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: yoshida@mpipz.mpg.de dolf.weijers@wur.nl
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Multicellular development requires coordinated cell polarization relative to body axes, and translation to oriented cell division. In plants, it is unknown how cell polarities are connected to organismal axes and translated to division. Here, we identify Arabidopsis SOSEKI (SOK) proteins that integrate apical-basal and radial organismal axes to localize to polar cell edges. Localization does not depend on tissue context, requires cell wall integrity and is defined by a transferrable, protein-specific motif. SOK proteins structurally resemble the DIX oligomerization domain in the animal Dishevelled polarity regulator. The DIX-like domain self-interacts and is required for edge localization and for influencing division orientation. Our work identifies a plant compass, interpreted by SOK proteins. Furthermore, despite fundamental differences, polarity in plants and animals converge upon the same protein domain.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted November 27, 2018.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A SOSEKI-based coordinate system interprets global polarity cues in Arabidopsis
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A SOSEKI-based coordinate system interprets global polarity cues in Arabidopsis
Saiko Yoshida, Alja van der Schuren, Maritza van Dop, Luc van Galen, Shunsuke Saiga, Milad Adibi, Barbara Möller, Peter Marhavy, Richard Smith, Jiri Friml, Dolf Weijers
bioRxiv 479113; doi: https://doi.org/10.1101/479113
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A SOSEKI-based coordinate system interprets global polarity cues in Arabidopsis
Saiko Yoshida, Alja van der Schuren, Maritza van Dop, Luc van Galen, Shunsuke Saiga, Milad Adibi, Barbara Möller, Peter Marhavy, Richard Smith, Jiri Friml, Dolf Weijers
bioRxiv 479113; doi: https://doi.org/10.1101/479113

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Plant Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4230)
  • Biochemistry (9123)
  • Bioengineering (6766)
  • Bioinformatics (23968)
  • Biophysics (12109)
  • Cancer Biology (9509)
  • Cell Biology (13753)
  • Clinical Trials (138)
  • Developmental Biology (7622)
  • Ecology (11674)
  • Epidemiology (2066)
  • Evolutionary Biology (15490)
  • Genetics (10630)
  • Genomics (14310)
  • Immunology (9473)
  • Microbiology (22821)
  • Molecular Biology (9086)
  • Neuroscience (48914)
  • Paleontology (355)
  • Pathology (1480)
  • Pharmacology and Toxicology (2566)
  • Physiology (3839)
  • Plant Biology (8322)
  • Scientific Communication and Education (1468)
  • Synthetic Biology (2295)
  • Systems Biology (6180)
  • Zoology (1299)