Time-Course Transcriptomic Profiling of Floral Induction in Cultivated Strawberry
Jiahui Liang1, Jing Zheng1, Ze Wu2
1Department of Fruit Science, College of Horticulture, China Agricultural University, Beijing 100193, China.
International Journal of Molecular Sciences
|June 10, 2022
Summary
Investigating strawberry flowering mechanisms, this study identified 73 differentially expressed genes (DEGs) potentially regulating floral induction. Key genes in hormone signaling, including DELLA, were highlighted, offering insights into strawberry flowering control.
Area of Science:
- Plant Biology
- Molecular Genetics
- Agricultural Science
Background:
- Strawberry flowering initiation and quality are crucial for market timing and economic returns.
- The genetic mechanisms underlying floral induction in strawberries remain largely unelucidated.
Purpose of the Study:
- To investigate gene activity during floral induction in strawberries.
- To identify key genes and regulatory networks involved in strawberry flowering.
Main Methods:
- Time-course transcriptome analysis of the 'Benihoppe' strawberry cultivar's shoot apex.
- Identification and clustering of differentially expressed genes (DEGs).
- Analysis of candidate genes in flowering pathways, hormone signaling, and leaf/flower development.
Main Results:
- 7177 DEGs were identified, grouped into four dynamic expression clusters.
- At least 73 DEGs, including those from NAC, MYB, MADS, and SEB families, were implicated in floral induction.
- Differential expression of hormone signaling genes, notably DELLA (gibberellin pathway inhibitor), was observed.
- Candidate genes like TFL1, SOC1, and GAI-like were validated using qRT-PCR.
Conclusions:
- This study provides a preliminary exploration of the regulatory network for floral induction in strawberries.
- Identified DEGs and hormone signaling pathway genes serve as potential candidates for future research on strawberry flowering.
- Understanding these genetic factors can aid in improving strawberry cultivation and yield.
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