Evidence map›Paper›PMID 42280628›Full record

ArticlePlants (Basel, Switzerland)2026

Transcriptomic Analyses and Weighted Gene Co-Expression Network Analysis (WGCNA) Identify Key Drought-Responsive Genes in Rice Roots (

Shengjie Yan, Zining Jiang, Xue Liu, Yixuan Huang, Ni Li, Weiping Wang, Luis A J Mur, Zhi Liu, Dongyang Lei, Xianwen Zhang

Abstract read
In one paragraph

Article 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

10 authors.

Shengjie YanCollege of Agronomy, Hunan Agricultural University, Changsha 410128, China.
Zining JiangCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China.
Xue LiuCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China.
Yixuan HuangCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China.
Ni LiNational Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China.
Weiping WangNational Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha 410125, China.
Luis A J MurDepartment of Life Sciences, Aberystwyth University, Wales SY23 3DA, UK.ORCID 0000-0002-0961-9817
Zhi LiuCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0001-8292-4562
Dongyang LeiCollege of Agronomy, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0003-1738-375X
Xianwen ZhangCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0001-5329-7571

Funding

Department of Science and Technology of Hainan Province 324MS135Department of Science and Technology of Hunan Province 2019JJ40117National Natural Science Foundation of China 31000125
6 · The paper itself

Abstract

Rice depends on its root system to perceive drought, a major environmental constraint that leads to severe yield losses worldwide. To dissect the underlying molecular basis, we conducted a comparative analysis of drought-sensitive (WAB) and drought-tolerant (IR65) rice genotypes that exhibited divergent drought tolerance at the seedling stage. After exposure to 15% PEG6000 (-0.4 MPa) for two days, the shoot and root architectural traits of IR65 were better than those of WAB seedlings. Measurements of physio-biochemical parameters (SOD, CAT, POD, APX, H

Indexed as

candidate genesdroughtriceRNA-seqrootWGCNAyeast

Identifiers

PMID42280628
PMCPMC13259270

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.