Evidence map›Paper›PMID 40725500›Full record

ArticleGenes2025

Global Transcriptome and Weighted Gene Co-Expression Network Analyses of Cold Stress Responses in Chinese Cabbage.

Jizong Zhang, Songtao Liu, Huibin Li, Mengmeng Sun, Baoyue Yan, Peng Zhang, Lifeng Zhang

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Jizong ZhangCollege of Agronomy, Hebei Agricultural University, Baoding 071000, China.
Songtao LiuCollege of Agriculture and Forestry, Hebei North University, Zhangjiakou 075000, China.
Huibin LiCollege of Agronomy, Hebei Agricultural University, Baoding 071000, China.
Mengmeng SunCollege of Agronomy, Hebei Agricultural University, Baoding 071000, China.
Baoyue YanCollege of Agronomy, Hebei Agricultural University, Baoding 071000, China.
Peng ZhangCollege of Agronomy, Hebei Agricultural University, Baoding 071000, China.
Lifeng ZhangCollege of Agronomy, Hebei Agricultural University, Baoding 071000, China.

Funding

National Key Research and Development Program of China 2021YFD1901104-5
6 · The paper itself

Abstract

BACKGROUND/

objectivesChinese cabbage (

methodsHere, using comparative leaf RNA-seq transcriptome analysis of plants grown at 6, 9, 12, and 15 °C, we explored key genes and metabolic pathways regulating Chinese cabbage cold response.

resultsRNA-seq transcriptome analysis identified a total of 1832 differentially expressed genes (DEGs) in the three comparison groups, with 5452, 1861, and 752 DEGs specifically expressed in the A6_vs_A15, A9_vs_A15, and A12_vs_A15 groups, respectively. KEGG enrichment analysis of DEGs showed that sulfur metabolism, secondary metabolites biosynthesis and photosynthesis pathways were mostly affected by cold stress. K-means clustering revealed distinct expression profiles among the DEGs enriched in cold stress response-associated clusters. Subsequently, DEGs were divided into 18 modules by WGCNA, whereupon co-expression genes that clustered into similar modules exhibited diverse expression and were annotated to various GO terms at different temperatures. Module-trait association analysis revealed M1, M2, M3, and M6 modules as key clusters potentially linked to vernalization-related processes. These modules harbored candidate hub genes encoding transcription factors (including MYB, bZIP, and WRKY), protein kinases, and cold-stress-responsive genes. Additionally, phenotypic analysis showed that 12 °C to 15 °C supported optimal growth, whereas <9 °C temperature inhibited growth. Physiological measurements showed increased antioxidant enzyme activity and proline accumulation at 6 °C.

conclusionsOverall, our study provides a set of candidate cold-stress-responsive genes and co-expression modules that may support cold stress tolerance breeding in Chinese cabbage.

Indexed as

BrassicaBrassica rapaCold-Shock ResponseGene Regulatory NetworksTranscriptomeCold TemperatureGene Expression ProfilingGene Expression Regulation, PlantPlant ProteinsPlant ProteinsChinese cabbagecold temperaturesRNA-seqvernalizationWGCNA

Identifiers

PMID40725500
PMCPMC12294169

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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.