Evidence map›Paper›PMID 42814355›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Model Systems for Investigating Root Responses to Localized Water Availability.

Danielle Colyer, James Donaldson, Jason Banda, Malcolm J Bennett, Poonam Mehra

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Danielle ColyerPlant and Crop Sciences, School of Biosciences,, University of Nottingham, Leicestershire, UK.
James DonaldsonPlant and Crop Sciences, School of Biosciences,, University of Nottingham, Leicestershire, UK.
Jason BandaPlant and Crop Sciences, School of Biosciences,, University of Nottingham, Leicestershire, UK.
Malcolm J BennettPlant and Crop Sciences, School of Biosciences,, University of Nottingham, Leicestershire, UK.
Poonam MehraPlant and Crop Sciences, School of Biosciences,, University of Nottingham, Leicestershire, UK. p.mehra@nottingham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water is distributed unevenly in soil, creating fine-scale patterns that shift with soil structure and drying. To navigate this complexity, roots deploy localized adaptive responses that allow them to sense and respond to water availability with high spatial precision. These include alterations in root branching (hydropatterning and xerobranching) and directional growth responses (hydrotropism and xerotropism), all of which collectively optimize water capture. Despite their importance, reproducing these heterogeneous water cues in the laboratory is challenging because soil systems are structurally and hydraulically complex. To address this, a suite of agar-based model systems has been developed to provide reproducible, tractable, and quantifiable platforms for studying root water sensing. These approaches rely on manipulating water potential using solutes or air interfaces to mimic microscale environmental heterogeneity and trigger adaptive responses. In this chapter, we outline the conceptual principles underlying water-driven root adaptive responses and provide detailed protocols for five agar-based experimental systems designed to study hydrotropism, xerotropism, xerobranching, and hydropatterning. These methods support robust mechanistic investigation and can be adapted for both Arabidopsis and crop species.

Indexed as

ArabidopsisModels, BiologicalPlant RootsWaterAgarSoilAgarSoilWaterHydropatterningHydrotropismWater sensingXerobranchingXerotropism

Identifiers

PMID42814355

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.