Evidence map›Paper›PMID 40640727›Full record

ArticleBMC plant biology2025

Comparative transcriptome profiling and co-expression network analysis reveals important genes regulating maize response to Southern corn rust.

Jialong Liu, Kailai Wang, Nan Wang, Yuan Zhong, Xiuzhen Zhai, Yinsuo Jia, Zhiying Chu, Qing Miao, Hao Su, Mengyun Kou and 2 more

Abstract readComparative Study
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Jialong Liu *State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Kailai Wang *Glbizzia Biosciences, Beijing, 102600, China.
Nan WangState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Yuan ZhongState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Xiuzhen ZhaiState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Yinsuo JiaHebei Richard Agricultural Science and Technology Co., Ltd, Shijiazhuang, 050000, China.
Zhiying ChuState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Qing MiaoState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Hao SuState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Mengyun KouState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Huijun DuanState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China. hjduan@hebau.edu.cn.
Xiaocui YanState Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Key Laboratory of Crop Germplasm Resources, College of Agronomy, Hebei Agricultural University, Baoding, Hebei, 071001, China. yxc1234jy@163.com.

Funding

Selection and Annual High Yield and Efficiency Combination Technology of Wheat Corn (Soybean) Varieties in the Huang Huai Hai Region 2023YFD2301501S&T Program of Hebei 24466301Dthe Provincial Key Research and Development Program 22326515D
6 · The paper itself

Abstract

Southern corn rust (SCR) caused by Puccinia polysora Underw. (P. polysora) poses a serious threat to global maize (Zea mays L.) production. This study used six maize inbred lines (DTMA-45, DTMA-50, R99, N110, P767 and 15B020F3) as materials to systematically explore the response mechanism of maize to southern corn rust through phenotype identification, transcriptome sequencing, functional enrichment analysis, gene co-expression network analysis, and quantitative RT-PCR experiments. Phenotypic analysis shows that DTMA-50, R99 and P767 have strong resistance, while DTMA-45, N110 and 15B020F3 are more sensitive. Transcriptome analysis identified a large number of differentially expressed genes (DEGs), whereas gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis showed that these genes are involved in multiple biological processes and metabolic pathways such as defense response, cytoskeleton organization, and plant hormone signaling transduction. Weighted gene co-expression network analysis (WGCNA) identified modules and key genes related to resistance, such as cell wall tissue related genes in the coral2 module and some genes in the ABC transporter and plant pathogen interaction pathways up-regulated in the resistant strain. Quantitative real-time PCR showed that ABCG11 (LOC100281487) and CCR1 (LOC103649447) genes are continuously up-regulated in the early stages of infection in the resistant line R99, which may play an important role in resisting fungal invasion. This study reveals the complex molecular mechanisms underlying maize's response to southern corn rust, offering important theoretical support and potential targets for maize disease resistance breeding.

Indexed as

Gene Regulatory NetworksPlant DiseasesPucciniaZea maysBasidiomycotaDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantTranscriptomeMaizePuccinia Polysora underw.Southern corn rustTranscriptomeWGCNA

Identifiers

PMID40640727
PMCPMC12243284

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