Evidence map›Paper›PMID 41635687›Full record

ArticleFrontiers in plant science2025

Integrated transcriptomics and metabolomics analyses reveal key pathway responses during the grain-filling stage in maize under waterlogging stress.

Bujin Zhou, Shaoli Wei, Jiaming Qin, Jiaxing Zheng, Bingwei Wang, Xiu Zhong, Anxia Huang, Jingdan He, Chengqiao Shi

Abstract read
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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Bujin Zhou *Maize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Shaoli Wei *Maize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Jiaming QinMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Jiaxing ZhengMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Bingwei WangMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Xiu ZhongMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Anxia HuangMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Jingdan HeMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.
Chengqiao ShiMaize Research Institute of Guangxi Academy of Agricultural Science, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop tolerance to waterlogging significantly influences survival and productivity under waterlogging conditions. Elucidating the molecular mechanisms underlying waterlogging tolerance could facilitate the development of resilient crop varieties through breeding. This study conducted a comparative analysis of the physiological, transcriptional, and metabolic responses of a waterlogging-tolerant maize genotype Guidan162 (GD) and a waterlogging-sensitive genotype Zhaofeng 588 (ZF) during the grain filling stage. Phenotypic and physiological characteristics indicated that the leaf morphology of maize plants is affected, while the levels of peroxidase (POD) and catalase (CAT) and proline significantly increase under waterlogging stress. Transcriptomic analysis identified 3280 and 2260 differentially expressed genes (DEGs) between normal and waterlogged conditions in GD and ZF, respectively. KEGG enrichment analysis of DEGs revealed that pathways related to plant stress tolerance were enriched, including peroxisome, plant hormone signal transduction, and arginine and proline metabolism. In addition, metabolomic profiling revealed 359 and 209 differentially abundant metabolites (DAMs) in GD and ZF under waterlogging stress. Many of these DAMs participate in arginine and proline metabolism, plant signal transduction, and glutathione metabolism. Integrated transcriptomic and metabolomic analyses highlighted significant enrichment in abscisic acid (ABA) signaling, glutathione metabolism, and proline biosynthesis pathways. Several key candidate genes-including Arginase, PIP, P4H, PYR/PYL, PP2C, SnRK2, ABF, IDH, GPX, GGCT, OXP, and GCL were implicated in conferring waterlogging tolerance. These findings provide new insights into the complex molecular mechanisms of waterlogging tolerance in maize.

Indexed as

grain-filling stagemaizemetabolomictranscriptomicwaterlogging

Identifiers

PMID41635687
PMCPMC12861905

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