Journal
MOLECULAR SYSTEMS BIOLOGY
Volume 14, Issue 1, Pages -Publisher
WILEY
DOI: 10.15252/msb.20177687
Keywords
Arabidopsis root zonation; brassinosteroids; cell differentiation; computational analysis; phenotypic variability
Categories
Funding
- Ministerio de Economia y Competitividad (Spain)
- Fondo Europeo de Desarrollo Regional FEDER (EU) [FIS2015-66503-C3-3-P]
- MINECO [FIS2012-37655-C02-02, FIS2009-13360-C03-01]
- Generalitat de Catalunya through Grup de Recerca Consolidat [2014 SGR 878]
- Spanish Ministry of Economy and Competitiveness (MINECO) [BIO2016-78955, BIO2013-43873]
- Developing an European American NGS Network (DEANN) from FP7-PEOPLE-IRSES
- Spanish Ministry of Economy and Competitiveness [BIO2010-16673]
- FI PhD fellowship from Generalitat de Catalunya
- JAE-CSIC PhD fellowship in A. I.C.-D. laboratory
- Severo Ochoa Programme for Centers of Excellence in R&D in A.I.C-D. laboratory [SEV-2015-0533]
- ERC Consolidator Grant from the European Research Council [ERC-2015-CoG-683163]
Ask authors/readers for more resources
Plant roots grow due to cell division in the meristem and subsequent cell elongation and differentiation, a tightly coordinated process that ensures growth and adaptation to the changing environment. How the newly formed cells decide to stop elongating becoming fully differentiated is not yet understood. To address this question, we established a novel approach that combines the quantitative phenotypic variability of wild-type Arabidopsis roots with computational data from mathematical models. Our analyses reveal that primary root growth is consistent with a Sizer mechanism, in which cells sense their length and stop elongating when reaching a threshold value. The local expression of brassinosteroid receptors only in the meristem is sufficient to set this value. Analysis of roots insensitive to BR signaling and of roots with gibberellin biosynthesis inhibited suggests distinct roles of these hormones on cell expansion termination. Overall, our study underscores the value of using computational modeling together with quantitative data to understand root growth.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available