Evidence map›Paper›PMID 41062975›Full record

ArticleBMC plant biology2025

Identification of candidate genes and proteins for tasseling stage drought tolerance through integrated transcriptomic and proteomic analysis approach in maize.

Songtao Liu, Hanbo Shi, Linan Yan, Chao Jiang, Haichao Zhao, Haibo Lu, Haoyang Li, Shuo Wang, Zhihong Huang

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Comparative Secretome Profiling ofPlants (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Songtao LiuCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Hanbo ShiCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Linan YanCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Chao JiangCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Haichao ZhaoCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Haibo LuCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Haoyang LiCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China.
Shuo WangSchool of Medicine, Nankai University, Tianjin, 300100, China.
Zhihong HuangCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou, 075000, China. hbnuhzh@163.com.

Funding

Modern Agricultural Industrial Technology System in Hebei Province HBCT2023020202
6 · The paper itself

Abstract

Drought stress, particularly at the tasseling stage, is the most devastating abiotic factor and major contributor to yield reduction in maize (Zea mays L.). Despite recent scientific advances in deciphering maize drought stress responses, the overall picture of key genes and proteins regulating maize tasseling drought tolerance remains less understood. In this study, we conducted comparative physiological, transcriptomic and proteomic analyses to monitor the changes in the leaf tissues of two contrasting maize hybrid cultivars exposed to drought stress at the tasseling stage. We identified 1701 differentially expressed genes (DEGs) in RNA-sequence runs and 424 differentially expressed proteins (DEPs) from an iTRAQ-based analysis. Mapman analysis revealed several regulatory processes influenced by drought conditions, including signal transduction, cell-wall remodeling, cellular redox homeostasis and hormone metabolism that were observed at both mRNA and protein levels. However, transcription factor regulation and secondary metabolism were specifically identified at the transcript level, whereas photosynthesis was uniquely identified to be affected by drought stress at the protein level. Meanwhile, a weak correlation between DEGs and DEPs was observed, indicating the drought response of maize at tasseling stage is largely regulated post-transcriptionally. Furthermore, comparative physiological analysis and qRT-PCR results substantiated the trancriptomic and proteomic findings. Additionally, we screened ZmPOD, ZmRAV1, ZmTPP and performed phenotypical and physiological characterizations of transgenic Arabidopsis thaliana (Arabidopsis) lines and wild-type. Resultantly, the transgenic Arabidopsis lines exhibited stronger tolerance to drought than the WT. This functional verification reinforces the reliability of our omics-based candidate gene selection. Overall, our research provides insights on the drought-responsive genes and pathways mediating maize drought tolerance at the tasseling stage.

Indexed as

DroughtsGenes, PlantPlant ProteinsTranscriptomeZea maysDrought ResistanceGene Expression ProfilingGene Expression Regulation, PlantPlant LeavesProteomicsStress, PhysiologicalPlant ProteinsDrought stressPhysiological responsesProteomeTasseling stageTranscriptomeZea may L.

Identifiers

PMID41062975
PMCPMC12506335

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