Characterization of the Regulatory Network under Waterlogging Stress in Soybean Roots via Transcriptome Analysis

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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Publication Details

Journal
Plants
Published
2024-09-10
DOI
https://doi.org/10.3390/plants13182538
Citations
1
Primary Topic
Plant responses to water stress
Type
article
Field-Weighted Citation Impact
0.60

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article

Characterization of the Regulatory Network under Waterlogging Stress in Soybean Roots via Transcriptome Analysis

Woo‐Jong Hong, Kwang‐Soo Cho, Inhye Lee, Namgeol Kim et al.
1 citations
Plants
Plant responses to water stress
0.60
article

Characterization of the Regulatory Network under Waterlogging Stress in Soybean Roots via Transcriptome Analysis

Woo‐Jong Hong, Kwang‐Soo Cho, Inhye Lee, Namgeol Kim, Seuk-Ki Lee, Yo-Han Yoo, Seung‐Yeon Cho, Ki‐Hong Jung, Eun Young Kim
article en
1 citations

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.

PlantsVol. 13(18)
Rural Development Administration (KR), Kyung Hee University (KR)
Kyung Hee University, Rural Development Administration
Openalex Percentile: Top 22%
Plant responses to water stress
0.60
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