ArticlePlants (Basel, Switzerland)2024
Characterization of the Regulatory Network under Waterlogging Stress in Soybean Roots via Transcriptome Analysis.
Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Soybean Protein Quality and Quantity: Genetic Control and Environmental Influences.Plant, cell & environment · 2026Review
- Mechanism analysis of uniconazole pretreatment improving waterlogging tolerance of different genotypes of Brassica napus L.BMC plant biology · 2026Article
- Differential response to waterlogging stress in rapeseed (Brassica napus L.): insights from physiological, transcriptomic, and metabolomic analyses.BMC plant biology · 2026Article
- Identification and functional validation of hub genes responding to waterlogging stress during the filling period in quinoa (Chenopodium Quinoa Willd.).BMC plant biology · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
Flooding stress caused by climate change is a serious threat to crop productivity. To enhance our understanding of flooding stress in soybean, we analyzed the transcriptome of the roots of soybean plants after waterlogging treatment for 10 days at the V2 growth stage. Through RNA sequencing analysis, 870 upregulated and 1129 downregulated differentially expressed genes (DEGs) were identified and characterized using Gene Ontology (GO) and MapMan software (version 3.6.0RC1). In the functional classification analysis, "alcohol biosynthetic process" was the most significantly enriched GO term in downregulated DEGs, and phytohormone-related genes such as ABA, cytokinin, and gibberellin were upregulated. Among the transcription factors (TFs) in DEGs, AP2/ERFs were the most abundant. Furthermore, our DEGs encompassed eight soybean orthologs from Arabidopsis and rice, such as 1-aminocyclopropane-1-carboxylate oxidase. Along with a co-functional network consisting of the TF and orthologs, the expression changes of those genes were tested in a waterlogging-resistant cultivar, PI567343. These findings contribute to the identification of candidate genes for waterlogging tolerance in soybean, which can enhance our understanding of waterlogging tolerance.
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