Evidence map›Paper›PMID 40615831›Full record

ArticleBMC plant biology2025

Integrated transcriptome and metabolome analyses provide molecular insights into the transition of flower color in the rose cultivar 'Juicy Terrazza'.

Yun Xuan, Jie Ren, Zhu Chen, Dan Shi

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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yun XuanInstitute of Agricultural Machinery Equipment and Engineering, Anhui Academy of Agricultural Sciences, Hefei, 230031, China. xuanyun16@hotmail.com.
Jie RenInstitute of Agricultural Machinery Equipment and Engineering, Anhui Academy of Agricultural Sciences, Hefei, 230031, China.
Zhu ChenInstitute of Agricultural Machinery Equipment and Engineering, Anhui Academy of Agricultural Sciences, Hefei, 230031, China.
Dan ShiInstitute of Agricultural Machinery Equipment and Engineering, Anhui Academy of Agricultural Sciences, Hefei, 230031, China.

Funding

Key Research and Development Program of Anhui Province 202004a06020019Team Project of Anhui Academy of Agricultural Sciences 2020YL085
6 · The paper itself

Abstract

backgroundFlower color is a prominent ornamental characteristic in roses, and their petals contain a wide range of bioactive compounds. In this study, the petal development of the rose cultivar 'Juicy Terrazza' was categorized into three stages: tangerine-colored petals in the flower bud (JT-T), orange-colored petals of the blooming flower (JT-O), and pink-colored petals of the open flower (JT-P). We utilized transcriptomics and metabolomics approaches to investigate the genes and metabolites involved in the pigment metabolic pathway across all three stages of rose petals (JT-T, JT-O, and JT-P) for transcriptomics analysis and two stages (JT-T and JT-P) for metabolomics analysis.

resultA total of 872 metabolites were identified in rose flowers. Comparative analysis revealed significant differences in 153 accumulated metabolites between open flowers in JT-P and flower buds in JT-T. The flower coloration of this rose cultivar is primarily influenced by carotenoids and anthocyanins, with carotenoids being the main differential metabolites responsible for altering the flower colors during the transition from JT-T to JT-P, particularly β-carotene, violaxanthin and its derivatives. Furthermore, by conducting a comparative study on differentially expressed genes (DEGs) during the transition of petal color, potential candidate genes related to this specific phenotypic characteristic were successfully identified. PSY, PDS, ZISO, and ZDS genes showed significant down-regulation, while RcCCD4 exhibited strong up-regulation in JT-P compared with JT-T, which could directly contribute to the reduction of carotenoid contents during the JT-P stage. The TF-gene-metabolite correlations involved in the change of pigments in rose petals were identified through comprehensive data analysis. MYB308 and MYB1 (RchiOBHmChr3g0448721, RchiOBHmChr2g0116041) could play pivotal roles in the regulation of pigment metabolism in this rose cultivar.

conclusionsThese findings contribute to our understanding of the impact of specific metabolites and transcripts on flower color changes and the molecular mechanisms of carotenoid metabolism and flavonoid biosynthesis in rose flowers. The candidate key genes related to pigment metabolism may serve as valuable genetic resources for molecular breeding of ornamental plants with specific flower colors.

Indexed as

FlowersMetabolomePigmentationRosaTranscriptomeAnthocyaninsCarotenoidsColorGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsAnthocyaninsCarotenoidsCarotenoidsFlavonoidsMetabolomeMolecular regulationPetal colorRoseTranscriptome

Identifiers

PMID40615831
PMCPMC12231300

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.