Evidence map›Paper›PMID 33072175›Full record

ArticlePlant methods2020

Development of a novel and rapid phenotype-based screening method to assess rice seedling growth.

Lena Vlaminck, Chananchida Sang-Aram, Deborah Botterman, Christine Jewel C Uy, Mary Kay Harper, Dirk Inzé, Godelieve Gheysen, Stephen Depuydt

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2020. 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
0.2field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Gibberellins: extending the Green Revolution.Journal of experimental botany · 2025
    Review
  2. Review
  3. Opposing effects ofPlant direct · 2022
    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

8 authors at 3 institutions in 3 countries.

Lena VlaminckPresent Address: Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
Chananchida Sang-AramPresent Address: Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
Deborah BottermanLaboratory of Plant Growth Analysis, Ghent University Global Campus, Incheon, 21985 South Korea.
Christine Jewel C UyLaboratory of Plant Growth Analysis, Ghent University Global Campus, Incheon, 21985 South Korea.
Mary Kay HarperDepartment of Medical Chemistry, University of Utah, Salt Lake City, UT 84112 USA.
Dirk InzéPresent Address: Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
Godelieve GheysenDepartment of Biotechnology, Ghent University, 9000 Ghent, Belgium.
Stephen DepuydtPresent Address: Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.ORCID 0000-0001-8965-1026
Ghent University · BEGhent University Global Campus · KRUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice (

resultsThe phenotype-based screening method was validated by testing several compounds in pharmacological experiments that interfered with hormone homeostasis, confirming that the assay was consistent with regard to the anticipated plant growth regulation and revealing the robustness of the set-up in terms of reproducibility. Moreover, abiotic stress tests using NaCl and DCMU, an electron transport blocker during the light dependent reactions of photosynthesis, confirmed the validity of the new method for a wide range of applications. Next, this method was used to screen the impact of semi-purified fractions of marine invertebrates on the initial stages of rice seedling growth. Certain fractions clearly stimulated growth, whereas others inhibited it, especially in the root, illustrating the possible applications of this novel, robust, and fast phenotype-based screening method for rice.

conclusionsThe validated phenotype-based and cost-efficient screening method allows a quick and proper analysis of shoot growth and requires only small volumes of compounds and media. As a result, this method could potentially be used for a whole range of applications, ranging from discovery of novel biostimulants, plant growth regulators, and plant growth-promoting bacteria to analysis of CRISPR knockouts, molecular plant breeding, genome-wide association, and phytotoxicity studies. The assay system described here can contribute to a better understanding of plant development in general.

Indexed as

Automated computer analysisMarine natural productsOryza sativaPhenotype-based screeningPlengthRIVASeedling growth

Identifiers

PMID33072175
PMCPMC7560306
OpenAlexW3093457853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.