Evidence map›Paper›PMID 41904985›Full record

ArticleThe Plant journal : for cell and molecular biology2026

A tissue-resolved, network-based transcriptomic framework for abiotic stress responses in sorghum.

Dae Kwan Ko, Federica Brandizzi

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 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

2 authors.

Dae Kwan KoMSU-DOE Plant Research Lab, Michigan State University, East Lansing, Michigan, 48824, USA.ORCID https://orcid.org/0000-0002-9720-5138
Federica BrandizziMSU-DOE Plant Research Lab, Michigan State University, East Lansing, Michigan, 48824, USA.ORCID https://orcid.org/0000-0003-0580-8888

Funding

Unfolded protein response in the model species Arabidopsis thalianaR35GM136637 · NIGMS · MICHIGAN STATE UNIVERSITY · PI Federica Brandizzi · 2020 to 2026
$2.6M
MSU AgBioResearch MICL02598NIH HHS R35GM136637U.S. Department of Energy DE-AC02-05CH11231U.S. Department of Energy DE-FG02-91ER20021U.S. Department of Energy DE-SC0018409
6 · The paper itself

Abstract

Developing climate-resilient crops requires a detailed understanding of stress-induced gene expression dynamics, as maladaptive responses can compromise their productivity and survival. Sorghum, a globally important cereal with exceptional tolerance to multiple abiotic stresses, provides a powerful system for investigating these dynamics. However, how stress type, tissue specificity, and temporal progression jointly shape transcriptomic responses in crops remains poorly understood. Here, we present a comparative, time-resolved transcriptomic atlas of sorghum responses to drought, heat, and salinity stress across shoot and root tissues. Integrative analyses revealed that tissue specificity is the dominant determinant of abiotic stress-induced gene reprogramming across all three stresses. Building on these global comparisons, we focused on heat stress, as it elicited the most coherent and pronounced transcriptional and regulatory responses, enabling deeper network-level interrogation. Co-expression network analysis identified tissue-specific modules enriched for phytohormone-responsive genes, while gene regulatory network (GRN) mapping and cistrome analyses uncovered transcription factors (TFs) controlling key hub genes within these modules. Together, this study provides a foundational transcriptomic and network-based resource for dissecting the regulatory architecture of abiotic stress responses in sorghum and offers prioritized candidates for future functional validation and engineering of climate-resilient crops.

Indexed as

Gene Regulatory NetworksSorghumStress, PhysiologicalTranscriptomeDroughtsGene Expression ProfilingGene Expression Regulation, PlantPlant RootsPlant ShootsTranscription FactorsTranscription Factorsabiotic stressbioenergy cropsco‐expression networkgene regulatory networkspatiotemporal dynamicstissue specificitytranscriptomics

Identifiers

PMID41904985
PMCPMC13033392

What Socratic 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 Socratic graph.