Evidence map›Paper›PMID 33443178›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Evidence for root adaptation to a spatially discontinuous water availability in the absence of external water potential gradients.

Kara R Lind, Oskar Siemianowski, Bin Yuan, Tom Sizmur, Hannah VanEvery, Souvik Banerjee, Ludovico Cademartiri

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors at 2 institutions in 2 countries.

Kara R LindDepartment of Materials Science & Engineering, Iowa State University of Science and Technology, Ames, IA 50011.ORCID 0000-0002-1133-1126
Oskar SiemianowskiDepartment of Materials Science & Engineering, Iowa State University of Science and Technology, Ames, IA 50011.ORCID 0000-0002-7842-8977
Bin YuanDepartment of Chemical & Biological Engineering, Iowa State University of Science and Technology, Ames, IA 50011.
Tom SizmurDepartment of Materials Science & Engineering, Iowa State University of Science and Technology, Ames, IA 50011.ORCID 0000-0001-9835-7195
Hannah VanEveryDepartment of Materials Science & Engineering, Iowa State University of Science and Technology, Ames, IA 50011.
Souvik BanerjeeDepartment of Materials Science & Engineering, Iowa State University of Science and Technology, Ames, IA 50011.
Ludovico CademartiriDepartment of Materials Science & Engineering, Iowa State University of Science and Technology, Ames, IA 50011; ludovico.cademartiri@unipr.it.ORCID 0000-0001-8805-9434
Iowa State University · USUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We hereby show that root systems adapt to a spatially discontinuous pattern of water availability even when the gradients of water potential across them are vanishingly small. A paper microfluidic approach allowed us to expose the entire root system of

Indexed as

AcclimatizationAdaptation, PhysiologicalArabidopsisArabidopsis ProteinsDroughtsGene Expression Regulation, PlantMicrofluidicsPlant RootsPlantsSalt ToleranceThermotoleranceTropismWaterArabidopsis ProteinsWaterhydrotropismpaper microfluidicsroot phenotypingwater stress

Identifiers

PMID33443178
PMCPMC7817178
OpenAlexW3114938111

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.