Evidence map›Paper›PMID 42729574›Full record

ReviewFrontiers in plant science2026

High-throughput screening for biostimulant discovery: opportunities to enhance nitrogen use efficiency.

Mirthe Van Buyten, Dominique Audenaert, Tom Beeckman, Hans Motte

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2026. 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

4 authors.

Mirthe Van BuytenDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Dominique AudenaertVIB Screening Core, Ghent, Belgium.
Tom BeeckmanDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Hans MotteDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving plant nitrogen use efficiency (NUE) is essential for reducing fertilizer inputs, costs, and environmental impacts such as nitrate leaching and nitrous oxide emissions. Biostimulants that modulate nitrogen transporters, metabolic enzymes, or signaling regulators hold considerable promise in this regard. However, such biostimulants are largely discovered empirically and rarely act by specifically targeting these NUE-related processes. Despite major advances in structural and mechanistic knowledge in the plant nitrogen uptake, metabolism or signaling machinery, discovery screens that directly target these molecular components for the identification of NUE-enhancing biostimulants have, to our knowledge, rarely been reported. This contrasts with other areas of plant biology, where chemical genetics and high-throughput screening have yielded influential molecular tools and agrochemical leads. This review argues that high-throughput screening represents an untapped opportunity for biostimulant discovery aimed at improving the plant NUE. We outline key conceptual principles of such screening approaches and provide a comprehensive overview of the molecular networks governing nitrogen uptake, transport, assimilation, and signaling. By linking these molecular targets to tractable assay formats and screening strategies, we highlight concrete routes for the discovery of next-generation biostimulants, with a particular focus on small-molecule and other non-microbial products. Together, we aim to inspire the transition from empirical discovery toward mechanism-guided approaches to discover new biostimulants and open routes toward more sustainable, nitrogen-efficient crop production.

Indexed as

biostimulantsdiscoverynitrogen use efficiency (NUE)plant screeningscreening assays

Identifiers

PMID42729574
PMCPMC13563046

What Socratic 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 Socratic graph.