Evidence map›Paper›PMID 42343958›Full record

ReviewFrontiers in plant science2026

Stress-tolerance genes in rice: bridging gene discovery, functional validation, and breeding applications.

Mvuyeni Nyasulu, Rudoviko Galileya Medison, Waqas Mushtaq, Stanley Nyenje Mataka

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.

Mvuyeni NyasuluHorticultural Department, Lilongwe University of Agriculture and Natural Resources (LUANAR), Lilongwe, Malawi.
Rudoviko Galileya MedisonKey Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
Waqas MushtaqJiangxi Agricultural University, Key Laboratory of Crop Physiology, Ecology, and Genetic Breeding, Ministry of Education/College of Agronomy, Nanchang, China.
Stanley Nyenje MatakaCollege of Agriculture, Yangtze University, Jingzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice productivity is increasingly threatened by abiotic stresses, with drought being a major constraint to stable yields under changing climate conditions. Advances in genomics and high-throughput omics technologies have identified numerous drought-responsive genes in rice through transcriptomics, genome-wide association studies (GWAS), and quantitative trait locus (QTL) mapping. While these approaches have improved our understanding of the genetic basis of drought responses, the practical application of gene discovery in breeding programs remains limited. This review focuses on functionally validated drought-tolerance genes, emphasizing candidates confirmed through reverse genetics approaches, such as gene knockout, overexpression, and genome editing. Key examples are discussed across major functional categories, including transcriptional regulation, signal transduction, and cellular protection mechanisms, highlighting their roles in drought tolerance and, when relevant, yield-related traits. We also explore how validated drought-tolerance genes have been integrated into rice improvement strategies, including marker-assisted selection, genomic selection, and genome editing. Major challenges are addressed, such as inadequate evaluation under combined stress conditions and weak connections between gene function and field performance. By combining evidence from genomics, functional biology, and breeding research, this review outlines priority research directions to accelerate the translation of candidate genes into climate-resilient rice cultivars. Rather than providing a comprehensive list of drought-responsive genes, this review emphasizes high-confidence, functionally characterized targets with practical relevance for breeding.

Indexed as

drought stressfunctional characterizationgenome editinggenomic selectionGWASmarker-assisted selectionQTL mappingrice

Identifiers

PMID42343958
PMCPMC13288485

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.