Evidence map›Paper›PMID 41991527›Full record

ArticleNature communications2026

Conserved and divergent gene regulatory networks for crop drought resistance.

Xianzhi Deng, Liangsheng Shi, Yu Wang, Han Qiao, Xin Wang, Jiateng Ma, Yufan Zhang, Yuanyuan Zha, Xiaolong Hu

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Comparative Transcriptomic Analysis of Water-Deficit Responses inInternational journal of molecular sciences · 2026
    Article
  3. 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

9 authors.

Xianzhi DengState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.
Liangsheng ShiState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China. liangshs@whu.edu.cn.ORCID http://orcid.org/0000-0003-0446-0488
Yu WangState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.
Han QiaoState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.
Xin WangState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.
Jiateng MaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.
Yufan ZhangState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.
Yuanyuan ZhaState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.ORCID http://orcid.org/0000-0003-4323-0730
Xiaolong HuState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) No. 52425901
6 · The paper itself

Abstract

Understanding crop drought resistance mechanisms is critical for enhancing resilience to intensifying climate change. However, the conserved and divergent drought resistance mechanisms under the genetic basis across species remain unclear. Here, using an innovative graph-based deep learning framework, we construct drought-responsive large-scale gene regulatory networks (GRNs) across transcriptional, proteomic, and metabolic layers in major Poaceae crops integrating over 5000 bulk RNA-seq datasets to map 3.3 million interactions among 130,000 genes. Other crops in Fabaceae and Solanaceae are also included for further validation. Large-scale data and advanced algorithms provide rigorous, genome-wide evidence and insights into drought GRNs. We find robustly conserved interaction patterns of TCP-PP2C and ERF-2OGD linked to abscisic acid and redox regulation. Divergent mechanisms are identified, including SPL-PELP in rice/wheat lineage and ERF-Psb28 in maize/sorghum lineage from large-scale comparative network analysis. We propose the hypothesis that drought resistance in crops is phylogenetically constrained by the topological structure of GRNs, rather than just a few key genes. Drought resistance of representative C

Indexed as

Crops, AgriculturalDrought ResistanceGene Regulatory NetworksAbscisic AcidDroughtsGene Expression Regulation, PlantOryzaPhylogenyPlant ProteinsStress, PhysiologicalAbscisic AcidPlant Proteins

Identifiers

PMID41991527
PMCPMC13272788

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.