Evidence map›Paper›PMID 40234743›Full record

ArticleBMC genomics2025

Dynamic transcriptome and metabolome analyses of two sweet corn lines under artificial aging treatment.

Zili Zhang, Ruichun Yang, Lei Gao, Shilin Huang, Feng Jiang, Qingchun Chen, Pengfei Liu, Faqiang Feng

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PubMed Full text at PMC Publisher
In one paragraph

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

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zili ZhangCollege of Agriculture and Biology, Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering/Guangzhou Key, Guangzhou, 510225, China.
Ruichun YangCollege of Agriculture, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Lei GaoGuangdong Agricultural Technology Extension Center, Guangzhou, 510145, Guangdong, China.
Shilin HuangCollege of Agriculture, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Feng JiangCollege of Agriculture and Biology, Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering/Guangzhou Key, Guangzhou, 510225, China.
Qingchun ChenCollege of Agriculture and Biology, Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering/Guangzhou Key, Guangzhou, 510225, China.
Pengfei LiuCollege of Agriculture and Biology, Laboratory for Research and Development of Crop Germplasm Resources, Zhongkai University of Agriculture and Engineering/Guangzhou Key, Guangzhou, 510225, China. 774990480@qq.com.
Faqiang FengCollege of Agriculture, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China. fengfq@scau.edu.cn.

Funding

Guangzhou Science and Technology Plan 2024B03J1303National Natural Science Foundation of China 31871713Special Fund for Science and Technology Innovation in Yangjiang City SDZX2023024Special Program for Key Fields of Natural Sciences in Ordinary Colleges and Universities in Guangdong Province 2023ZDZX4017
6 · The paper itself

Abstract

backgroundStrong tolerance to seed aging is an important agricultural trait for sweet corn production. Previous studies have primarily focused on the QTLs for the seed vigor. However, there were few researches involving in the metabolome and transcriptome of artificial aging seeds.

resultsUsing two inbred lines with significant differences in seed artificial aging tolerance, RNA sequencing and non-targeted metabolomic analysis were employed to extensively evaluate transcripts and metabolites in seeds that underwent artificial aging. Fourteen common transcripts and 16 common metabolites with sustained differential expression were identified in the two lines, suggesting their potential necessity in seed response to artificial aging. Enrichment analysis of differentially expressed genes (DEGs) in the transcriptome at different stages revealed significant enrichment KEGG pathways, "Oxidative phosphorylation" was the common pathway in the 0d vs 3d comparison for K107 and L155. The identical enriched KEGG pathways were observed in the 3d vs 6d comparison for K107 and 0d vs 6d comparison for L155, indicating a slower transcriptomic response in the aging-tolerance line. DEGs at 0 days between the two lines had been enriched in the "Terpenoid backbone biosynthesis" and "Ribosome" pathways, while at 6 days, the enrichment pathway were "Sulfur metabolism", "Linoleic acid metabolism", and "Plant hormone signal transduction". A total of 312 differentially expressed metabolites (DEMs) were found at 0, 3 and 6 days after seed aging treatment, and they shared enriched metabolic pathway of "ABC transporters". The KEGG enrichment of DEGs and DEMs shared the common pathway, namely "Linoleic acid metabolism". Among these, the most abundant metabolites were Glutathione, Adenosine, Trehalose, and 10E,12Z-Octadecadienoic acid. Focusing on the ascorbate-glutathione pathway revealed that the difference in ROS production and the ROS scavenging capability mediated by glutathione S-transferase (GST) genes were important factors contributing to the differing seed aging tolerance in the two lines.

conclusionIn summary, these results contribute to a deeper understanding of the overall mechanisms underlying artificial aging tolerance in sweet corn seeds. The findings of this study are expected to provide valuable insights for the storage of sweet corn seeds.

Indexed as

MetabolomeMetabolomicsTranscriptomeZea maysGene Expression ProfilingGene Expression Regulation, PlantSeedsArtificial agingMetabolomeSweet cornTranscriptome

Identifiers

PMID40234743
PMCPMC11998237

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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.