New insights into the transcription factor regulatory networks driving peel coloration under hormone induction analyzed by transcriptomics and metabolomics in tangor ‘Murcot’
Collectively, our findings indicated that GA inhibits chlorophyll degradation and the accumulation of numerous carotenoids, including five violaxanthin esters (violaxanthin palmitate, violaxanthin myristate-caprate, violaxanthin myristate-laurate, violaxanthin dilaurate, violaxanthin myristate) and two β-cryptoxanthin derivatives (β-cryptoxanthin laurate, β-cryptoxanthin myristate), while ETH promotes these processes. Furthermore, GA inhibited the downregulation of lutein, the predominant carotenoid in immature fruits. Notably, integrated transcriptomic and metabolomic analyses identified 33 transcription factors associated with pigment metabolism. Of these, two novel transcription factors, the ethylene-responsive transcription factor ABR1 and the HD-Zip transcription factor ATHB7, were uncovered through both transcriptomic analysis and weighted gene co-expression network analysis. These two transcription factors positively regulated the colouration process, as validated by transient overexpression assays in tobacco. Taken together, our findings elucidated the global carotenoid changes and transcriptional alterations in regulating citrus peel color under hormone induction, with significant implications for improving citrus production.
Authors
- Shuang Li (ORCID: https://orcid.org/0000-0003-2352-2904)
- Lei Yang (ORCID: https://orcid.org/0000-0001-7969-5981)
- Lin Hong (ORCID: https://orcid.org/0009-0005-4549-5646)
- Wenqin Bai (ORCID: https://orcid.org/0000-0001-6202-8613)
- Min Wang (ORCID: https://orcid.org/0000-0003-2464-2182)
- Yang Chen (ORCID: https://orcid.org/0000-0003-1645-9994)
- Jianjun Yu (ORCID: https://orcid.org/0009-0006-2910-4171)
Institutions
- Ministry of Agriculture and Rural Affairs (CN)
- Chongqing Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-02-18
- DOI
- https://doi.org/10.3389/fpls.2025.1526733
- Citations
- 1
- Primary Topic
- Plant Gene Expression Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.81