Evidence map›Paper›PMID 41188721›Full record

ArticleBMC plant biology2025

Unraveling the genetic mechanisms of waterlogging stress through the leaf metabolome of a sweet corn panel.

Kun Li, Yongtao Yu, Hao Liu, Shijuan Yan, Wenguang Zhu, Lihua Xie, Wenjie Huang, Wu Li, Tianxiang Wen, Jianguang Hu and 2 more

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 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

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

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

12 authors.

Kun LiGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Yongtao YuGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Hao LiuGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Shijuan YanGuangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Wenguang ZhuGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Lihua XieGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Wenjie HuangGuangdong Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Wu LiGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Tianxiang WenGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Jianguang HuGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Gaoke LiGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China.
Chunyan LiGuangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Crop Genetic Improvement, Crop Research Institute, Guangzhou, 510640, China. lichunyan@gdaas.cn.

Funding

Guangdong Province Seed Industry Vitalization Initiative Action 2024-NPY-00-045Guangdong Provincial Science and Technology Plan Project 2023B1212060038Guangzhou Science and Technology Plan Project 2023B03J1319Key Area Research and Development Program of Guangdong Province 2022B0202060003National Corn Industry Technology System Project CARS-02-85National Key Research and Development Program of China 2023YFD1201105National Natural Science Foundation of China 32001563Project of Collaborative Innovation Center of Guangdong Academy of Agricultural Sciences XT202213
6 · The paper itself

Abstract

backgroundSweet corn is a crop with global economic importance, yet it is highly susceptible to waterlogging stress. The molecular and metabolic mechanisms underlying its waterlogging response remain poorly understood.

resultsWe used an integrated multi-omics approach to investigate the genetic and biochemical basis of waterlogging tolerance in a diverse panel of 185 super sweet corn inbred lines. Waterlogging reduced seedling growth by 21-35%, and transcriptomic analysis identified 295 DEGs, including downregulated nitrogen assimilation genes (e.g., Zmgln2) and upregulated stress-responsive transcription factors involved in calcium ion transport pathways. Metabolomic analysis identified 75 DAMs, particularly amino acids and other organic acids that are associated with anaerobic metabolism. GWAS pinpointed a pleiotropic locus, Zmhpc1, that regulates glycerol-related metabolism and associated agronomic traits.

conclusionsOur findings provide novel insights into the adaptive responses to waterlogging stress and identify promising candidate genes for developing climate-resilient sweet corn varieties, offering practical applications for breeding waterlogging-tolerant sweet corn.

Indexed as

MetabolomePlant LeavesStress, PhysiologicalZea maysGene Expression Regulation, PlantTranscriptomeWaterWaterGWASMetabolomeSweet cornTranscriptomeWaterlogging stress

Identifiers

PMID41188721
PMCPMC12584308

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.