Evidence map›Paper›PMID 41977706›Full record

ReviewPlants (Basel, Switzerland)2026

Molecular and Genetic Regulation of Crop Root System Architecture in Drought Resilience.

Yawen Wang, Kai Xu, Shoujun Chen, Siya Hang, Tiemei Li, Huaxiang Cheng, Lijun Luo, Liang Chen

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yawen WangShanghai Agrobiological Gene Center, Shanghai 201106, China.
Kai XuShanghai Agrobiological Gene Center, Shanghai 201106, China.
Shoujun ChenShanghai Agrobiological Gene Center, Shanghai 201106, China.ORCID 0009-0006-0070-5918
Siya HangShanghai Agrobiological Gene Center, Shanghai 201106, China.
Tiemei LiShanghai Agrobiological Gene Center, Shanghai 201106, China.
Huaxiang ChengShanghai Agrobiological Gene Center, Shanghai 201106, China.
Lijun LuoShanghai Agrobiological Gene Center, Shanghai 201106, China.
Liang ChenShanghai Agrobiological Gene Center, Shanghai 201106, China.ORCID 0000-0003-0126-5097

Funding

Natural Science Foundation of Shanghai 22ZR1455200Natural Science Foundation of Shanghai 23ZR1455800
6 · The paper itself

Abstract

Drought, a major abiotic stressor affecting global agricultural productivity, significantly reduces crop yields and threatens food security worldwide. As the primary organ for perceiving soil moisture signals and absorbing water, the crop root system architecture plays a pivotal role in plant adaptation to drought conditions. With the development of high-throughput imaging technologies (i.e., 2D/3D image acquisition), high-throughput genotyping platforms, and gene-editing technologies, significant progress has been achieved in the characterization of root traits and the dissection of molecular genetic regulatory networks underlying these traits in crops. This review comprehensively synthesizes recent advances in the phenotypic characterization, underlying molecular regulatory networks, and functional roles of key root architectural traits, including the root length, angle, density, and root hair development, in enhancing drought resilience. Finally, we discuss the existing challenges in the current research and provide an outlook on the future trend of integrating multi-omics, high-throughput phenomics, and genome editing technologies to breed new drought-resistant crop varieties with ideal drought-resistant root architectures.

Indexed as

cropdrought resiliencegenetic breedingroot system architecture

Identifiers

PMID41977706
PMCPMC13074407

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.