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Quantitative and dynamic cell polarity tracking in plant cells

View ORCID ProfileYan Gong, View ORCID ProfileRachel Varnau, View ORCID ProfileEva-Sophie Wallner, View ORCID ProfileDominique C. Bergmann, View ORCID ProfileLily S. Cheung
doi: https://doi.org/10.1101/2020.09.12.294942
Yan Gong
1Department of Biology, Stanford University, Stanford, CA 94305, USA
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Rachel Varnau
1Department of Biology, Stanford University, Stanford, CA 94305, USA
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Eva-Sophie Wallner
1Department of Biology, Stanford University, Stanford, CA 94305, USA
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Dominique C. Bergmann
1Department of Biology, Stanford University, Stanford, CA 94305, USA
2Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
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Lily S. Cheung
3School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
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  • For correspondence: lily.cheung@gatech.edu
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ABSTRACT

Quantitative information on the spatiotemporal distribution of polarized proteins is central for understanding cell-fate determination, yet collecting sufficient data for statistical analysis is difficult to accomplish with manual measurements. Here we present POME, a semi-automated pipeline for the quantification of cell polarity, and demonstrate its application to a variety of developmental contexts. POME analysis reveals that during asymmetric cell divisions in the Arabidopsis thaliana stomatal lineage, polarity proteins BASL and BRXL2 are more asynchronous and less mutually dependent than previously thought. While their interaction is important to maintain their polar localization and recruit other effectors to regulate asymmetric cell divisions, BRXL2 polarization precedes that of BASL and can be initiated in BASL’s absence. Uncoupling of polarization from BASL activity is also seen in Brachypodium distachyon, where we find that the MAPKKK BdYDA1 is segregated and polarized following asymmetric division. Our results demonstrate that POME is a versatile tool, which by itself or combined with tissue-level studies and advanced microscopy techniques can help uncover new mechanisms of cell polarity.

Competing Interest Statement

The authors have declared no competing interest.

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-NC-ND 4.0 International license.
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Posted September 13, 2020.
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Quantitative and dynamic cell polarity tracking in plant cells
Yan Gong, Rachel Varnau, Eva-Sophie Wallner, Dominique C. Bergmann, Lily S. Cheung
bioRxiv 2020.09.12.294942; doi: https://doi.org/10.1101/2020.09.12.294942
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Quantitative and dynamic cell polarity tracking in plant cells
Yan Gong, Rachel Varnau, Eva-Sophie Wallner, Dominique C. Bergmann, Lily S. Cheung
bioRxiv 2020.09.12.294942; doi: https://doi.org/10.1101/2020.09.12.294942

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