Co-Expression Modules and Core Regulatory Factors Linked to Maize Abiotic Stress Resistance Under the Compound Agroecological Stress Index in Southwest China.

Yuejuan Yang, Hao Zhang, Long Wang, Jinsheng Li, Jiahui Liu, Yang Liu, Hanqi Shen, Zhengqi Yin

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. Not yet cited in PubMed.

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8 authors.

Yuejuan YangCollege of Advanced Agriculture and Life Sciences, Weifang University, Weifang 261061, China.ORCID 0000-0003-3219-4359

Hao ZhangCollege of Advanced Agriculture and Life Sciences, Weifang University, Weifang 261061, China.

Long WangCollege of Advanced Agriculture and Life Sciences, Weifang University, Weifang 261061, China.

Jinsheng LiCollege of Resources and Environment, Anhui Agricultural University, Hefei 230036, China.

Jiahui LiuCollege of Life Sciences, Shandong Normal University, Jinan 250358, China.

Yang LiuCollege of Advanced Agriculture and Life Sciences, Weifang University, Weifang 261061, China.

Hanqi ShenCollege of Advanced Agriculture and Life Sciences, Weifang University, Weifang 261061, China.

Zhengqi YinDepartment of Environmental Engineering, School of Architecture and Environment, Sichuan University, Chengdu 610042, China.ORCID 0009-0009-8858-535X

Funding

National Natural Science Foundation of China 32401423Weifang Science and Technology Development Plan (Soft Science) Project 2025RKX018

6 · The paper itself

Abstract

Regionally, compound agroecological stress arising from both natural and anthropogenic emergy inputs may influence maize transcriptomic responses; however, evidence across multiple scales remains limited. We developed a reproducible five-step framework integrating a macro-level compound stress index, molecular response modules, cross-scale coupling, spatial continuity, and independent field validation. Nine variables (emergy indicators ELR, Fn, and NEYR; climate; soil; and terrain) were PCA-weighted into a Composite Abiotic Stress Intensity Index (CASI; first three PCs = 83.7%; and prefecture-level Moran's I = 0.463). Across 15 public RNA-seq datasets (286 samples), WGCNA identified five separable modules (drought-heat, reproductive stage heat, low nitrogen/phosphorus, osmotic salt, and chronic compound), 270 core genes, and four cross-module hubs (ZmDREB2A, ZmHSFA2, ZmWRKY33, and ZmNRT2.1). With n = 21, the sCCA (r

Indexed as

compound agroecological stresscross-scale statistical couplingemergy analysismaize transcriptomic responseweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID42452185

DOI10.3390/plants15131977

PMCPMC13363898

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