ArticleBMC plant biology2025
Transcriptome and hormones metabolome joint analyses reveal the key molecular mechanism of Sweetpotato storage roots sprouting.
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.
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2 citing papers in PubMed.
- Identification of candidate genes regulating seed oil and protein content in Brassica napus via integrated genome-wide association and transcriptome analysis.BMC plant biology · 2026Article
- Melatonin Improves Storage Quality of Sweetpotato (Plants (Basel, Switzerland) · 2026Article
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6 authors.
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Abstract
Sprouting ability is an important indicator for evaluating the production performance of sweetpotato. However, the storage roots sprouting ability varies among different varieties. Currently, research on the sweetpotato storage roots sprouting (SPSRS) mainly focuses on physiology, rarely studies on the key metabolism and regulatory genes during the sprouting process. In this study, we compared transcriptomes and hormone metabolites in sprout buds of two sweetpotato varieties with contrasting sprouting abilities (strong-sprouting vs. late-sprouting) at 0 and 3 days post-harvest. In the SPSRS process of strong-sprouting variety (0d_vs_3d), a total of 2902 differentially expressed genes (DEGs), including 2411 up-regulated and 491 down-regulated genes were identified. But they were detected only, 45 up-regulated genes and 126 down-regulated genes between 0d and 3d of late-sprouting variety. Gene Ontology (GO) analysis showed that the DEGs between 0d and 3d in strong-sprouting variety and late-sprouting variety were mainly related to photosynthesis, light harvesting (GO:0009765), photosystem II (GO:0009523), and chlorophyll-binding (GO:0016168). In the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, DEGs in strong-sprouting variety were mainly associated with photosynthesis-antenna proteins. Both GO analysis and KEGG analysis indicated that DEGs in strong-sprouting variety (0d_vs_3d) were primarily related to photosynthesis. Hormone metabolites detection results showed that low abscisic acid (ABA) concentrations are crucial for SPSRS, while high indole-3-acetic acid (IAA) concentrations play a promoting role. Gibberellins (GAs) and cytokinins (CKs) are not key hormones for SPSRS. During the SPSRS process, IbGA2ox, IbGA20ox, and IbGA3ox were involved in regulation of GAs, while IbAMI1 was involved in regulation of IAA, and IbCYP707A1 and IbUGT73B2 were involved in regulation of ABA. Our study results also suggest that IbCYP707A1 is a key gene for SPSRS.
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