Evidence map›Paper›PMID 37680360›Full record

ArticleFrontiers in plant science2023

Transcriptome and metabolome analysis reveals the effect of flavonoids on flower color variation in

Yujie Qiu, Chengcheng Cai, Xu Mo, Xinyi Zhao, Lijuan Wu, Fan Liu, Rui Li, Chen Liu, Ji Chen, Mengliang Tian

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Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
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15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yujie QiuCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Chengcheng CaiCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Xu MoCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Xinyi ZhaoCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Lijuan WuCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Fan LiuCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Rui LiCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Chen LiuCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Ji ChenCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.
Mengliang TianCollege of Agronomy, Sichuan Agricultural University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: This study mainly explored the different genes and metabolites at different flowering stages and analysed the flower color variation mechanism through transcriptome- and flavonoid-targeted metabolomics. The experimental materials consisted of two different flower color phenotypes, purple flower (PF) and white flower (WF), observed during three different periods. Results and discussion: The results identified 1382, 2421 and 989 differentially expressed genes (DEGs) in the white flower variety compared with the purple flower variety at S1 (bud stage), S2 (chromogenic stage) and S3 (flowering stage), respectively. Among these, 27 genes enriched in the ko00941, ko00942, ko00943 and ko00944 pathways were screened as potential functional genes affecting flavonoid synthesis and flower color. Further analysis revealed that 15 genes are potential functional genes that lead to flavonoid changes and flower color variations. The metabolomics results at S3 found 129 differentially accumulated metabolites (DAMs), which included 8 anthocyanin metabolites, all of which (with the exception of delphinidin-3-o-(2'''-o-malonyl) sophoroside-5-o-glucoside) were found at lower amounts in the WF variety compared with the PF variety, indicating that a decrease in the anthocyanin content was the main reason for the inability to form purple flowers. Therefore, the changes in 19 flavone and 62 flavonol metabolites were considered the main reasons for the formation of white flowers. In this study, valuable materials responsible for flower color variation in D. nobile were identified and further analyzed the main pathways and potential genes affecting changes in flavonoids and the flower color. This study provides a material basis and theoretical support for the hybridization and molecular-assisted breeding of

Indexed as

anthocyaninDendrobium nobileflavonoidsflower variationtranscriptomics

Identifiers

PMID37680360
PMCPMC10481954

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