Evidence map›Paper›PMID 26505899›Full record

ArticlePLoS computational biology2015

Parsimonious Model of Vascular Patterning Links Transverse Hormone Fluxes to Lateral Root Initiation: Auxin Leads the Way, while Cytokinin Levels Out.

Sedeer el-Showk, Hanna Help-Rinta-Rahko, Tiina Blomster, Riccardo Siligato, Athanasius F M Marée, Ari Pekka Mähönen, Verônica A Grieneisen

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 48 citations in OpenAlex.

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  8. Modeling Auxin Signaling in Roots: Auxin Computations.Cold Spring Harbor perspectives in biology · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Sedeer el-ShowkInstitute of Biotechnology, University of Helsinki, Helsinki, Finland; Computational and Systems Biology, John Innes Centre, Norwich United Kingdom; Department of Biosciences, Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland.
Hanna Help-Rinta-RahkoInstitute of Biotechnology, University of Helsinki, Helsinki, Finland; Department of Biosciences, Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland.
Tiina BlomsterInstitute of Biotechnology, University of Helsinki, Helsinki, Finland; Department of Biosciences, Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland.
Riccardo SiligatoInstitute of Biotechnology, University of Helsinki, Helsinki, Finland; Department of Biosciences, Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland.
Athanasius F M MaréeComputational and Systems Biology, John Innes Centre, Norwich United Kingdom.
Ari Pekka MähönenInstitute of Biotechnology, University of Helsinki, Helsinki, Finland; Department of Biosciences, Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland.
Verônica A GrieneisenComputational and Systems Biology, John Innes Centre, Norwich United Kingdom.
University of Helsinki · FIJohn Innes Centre · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J004553/1Biotechnology and Biological Sciences Research Council BBS/E/J/000C0645Biotechnology and Biological Sciences Research Council BBS/E/J/000C0646
6 · The paper itself

Abstract

An auxin maximum is positioned along the xylem axis of the Arabidopsis root tip. The pattern depends on mutual feedback between auxin and cytokinins mediated by the PIN class of auxin efflux transporters and AHP6, an inhibitor of cytokinin signalling. This interaction has been proposed to regulate the size and the position of the hormones' respective signalling domains and specify distinct boundaries between them. To understand the dynamics of this regulatory network, we implemented a parsimonious computational model of auxin transport that considers hormonal regulation of the auxin transporters within a spatial context, explicitly taking into account cell shape and polarity and the presence of cell walls. Our analysis reveals that an informative spatial pattern in cytokinin levels generated by diffusion is a theoretically unlikely scenario. Furthermore, our model shows that such a pattern is not required for correct and robust auxin patterning. Instead, auxin-dependent modifications of cytokinin response, rather than variations in cytokinin levels, allow for the necessary feedbacks, which can amplify and stabilise the auxin maximum. Our simulations demonstrate the importance of hormonal regulation of auxin efflux for pattern robustness. While involvement of the PIN proteins in vascular patterning is well established, we predict and experimentally verify a role of AUX1 and LAX1/2 auxin influx transporters in this process. Furthermore, we show that polar localisation of PIN1 generates an auxin flux circuit that not only stabilises the accumulation of auxin within the xylem axis, but also provides a mechanism for auxin to accumulate specifically in the xylem-pole pericycle cells, an important early step in lateral root initiation. The model also revealed that pericycle cells on opposite xylem poles compete for auxin accumulation, consistent with the observation that lateral roots are not initiated opposite to each other.

Indexed as

Models, BiologicalArabidopsisArabidopsis ProteinsComputer SimulationCytokininsIndoleacetic AcidsMembrane Transport ProteinsPlant Growth RegulatorsPlant RootsPlant Vascular BundleArabidopsis ProteinsCytokininsIndoleacetic AcidsMembrane Transport ProteinsPlant Growth Regulators

Identifiers

PMID26505899
PMCPMC4623515
OpenAlexW2099325579

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.