Unknown

Dataset Information

0

A Sizer model for cell differentiation in Arabidopsis thaliana root growth.


ABSTRACT: 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.

SUBMITTER: Pavelescu I 

PROVIDER: S-EPMC5787709 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

A Sizer model for cell differentiation in <i>Arabidopsis thaliana</i> root growth.

Pavelescu Irina I   Vilarrasa-Blasi Josep J   Planas-Riverola Ainoa A   González-García Mary-Paz MP   Caño-Delgado Ana I AI   Ibañes Marta M  

Molecular systems biology 20180110 1


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 <i>Arabidopsis</i> roots with computational data from mathematical mo  ...[more]

Similar Datasets

| S-EPMC4071822 | biostudies-literature
| S-EPMC8199107 | biostudies-literature
| S-EPMC8579162 | biostudies-literature
| S-EPMC4265151 | biostudies-literature
| S-EPMC2577305 | biostudies-literature
| S-EPMC3394657 | biostudies-literature
| S-EPMC8107238 | biostudies-literature
| S-EPMC3991750 | biostudies-literature
| S-EPMC2859919 | biostudies-literature
2024-07-20 | GSE262756 | GEO