Evidence map›Paper›PMID 40735613›Full record

ArticleQuantitative plant biology2025

A minimal mechanistic model of plant responses to oxygen deficit during waterlogging.

Silou Chen, Hugo J de Boer, Kirsten Ten Tusscher

Abstract read
In one paragraph

Article in Quantitative plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Impact factor: Playing a number on you.Quantitative plant biology · 2025
    Article
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

3 authors.

Silou ChenCopernicus Institute of Sustainable Science, Department of Geosciences, Utrecht University, Utrecht, The Netherlands.
Hugo J de BoerCopernicus Institute of Sustainable Science, Department of Geosciences, Utrecht University, Utrecht, The Netherlands.
Kirsten Ten TusscherTheoretical Biology, Department of Biology, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-1945-7858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants exhibit diverse morphological, anatomical and physiological responses to hypoxia stress from soil waterlogging, yet coordination between these responses is not fully understood. Here, we present a mechanistic model to simulate how rooting depth, root aerenchyma -porous tissue arising from localized cell death-, and root barriers to radial oxygen loss (ROL) interact to influence waterlogging survival. Our model revealed an interaction between rooting depth and the relative effectiveness of aerenchyma and ROL barriers for prolonging waterlogging survival. As the formation of shallow roots increases waterlogging survival time, the positive effect of aerenchyma becomes more apparent with increased rooting depth. While ROL barriers further increased survival in combination with aerenchyma in deep-rooted plants, ROL barriers had little positive effect in the absence of aerenchyma. Furthermore, as ROL barriers limit root-to-soil oxygen diffusion bidirectionally, our model revealed optimality in the timing of ROL formation. These findings highlight the importance of coordination between morphological and anatomical responses in waterlogging resilience of plants.

Indexed as

aerenchymafloodingmechanistic modellingradial oxygen loss barrierrooting depth

Identifiers

PMID40735613
PMCPMC12304786

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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.