数字农科院2.0

In-Depth Exploration of the Coloration Mechanism of Iris dichotoma Pall. via Transcriptomic and Metabolomic Analyses

文献类型： 外文期刊

作者： Yalin Yu;Xiaojing Qiang;Fan Huang;Xiuzheng Huang;Lei Liu

作者机构：

关键词： anthocyanins;delphinidin;Iris dichotomaPall;metabolome;transcriptome

期刊名称： Plants

ISSN： 2223-7747

年卷期： 2025 年 14 卷 9 期

页码：

收录情况： SCIE（2025版）

摘要： Iris dichotoma Pall., renowned for its high ornamental value, is frequently cultivated in flowerbeds and courtyards, endowing garden landscapes with unique allure. Dark-hued flowers are widely regarded as more aesthetically appealing. This study utilized the petals of two distinct Iris dichotoma Pall. phenotypes as research materials to investigate the underlying mechanism of flower color formation. The purple-flowered Iris dichotoma Pall. was designated as Group P, and the white-flowered one as Group W. A comprehensive integrative analysis of the transcriptome and metabolome of the two petal types was carried out. Metabolomic analysis revealed that the contents of several anthocyanin derivatives, including delphinidin, petunidin, malvidin, peonidin, and procyanidin, were significantly higher in purple petals compared to white petals, with delphinidin exhibiting the highest content. The transcriptomic analysis detected 6731 differentially expressed genes (DEGs) between the white and purple petal types. Specifically, 3596 genes showed higher expression levels in purple petals, while 3135 genes exhibited lower expression levels in purple petals compared to white petals. Ten phenylalanine ammonia-lyase (PAL) genes, two chalcone synthase (CHS) genes, one anthocyanidin reductase (ANR) gene, one 4-coumarate-CoA ligase (4CL) gene, one dihydroflavonol 4-reductase (DFR) gene, one flavanone 3′-hydroxylase (F3′H) gene, and one flavonol synthase (FLS) gene were identified; they all had purple petals displaying higher expression levels than white petals. This research uncovers the potential formation mechanism of anthocyanins in the two Iris dichotoma Pall. types, thereby furnishing a theoretical foundation for floral breeding endeavors.

分类号：

  • 相关文献

[1]Integrated Metabolome and Transcriptome Analysis of Petal Anthocyanin Accumulation Mechanism in Gloriosa superba ‘Rothschildiana’ during Different Flower Development Stages. Yue Sun,Pinli Hu,Yanan Jiang,Jun Li,Jiaxing Chang,Huihui Zhang,Haojing Shao,Yiwei Zhou. 2023

[2]Comprehensive analysis of metabolomics and transcriptomics reveals varied tepal pigmentation across Gloriosa varieties. Yue Sun,Pinli Hu,Yanan Jiang,Zhenzhen Wang,Jiaxing Chang,Yiwei Zhou,Haojing Shao. 2025

[3]Effects of potassium on tea quality are associated with the accumulation of anthocyanins in tea plant. Zhang, Hua,Li, Chunlei,Zhang, Longxiang,Zhang, Qunfeng. 2024

[4]Transcriptome Analysis Identifies Key Candidate Genes Mediating Purple Ovary Coloration in Asiatic Hybrid Lilies. Xu, Leifeng,Yang, Panpan,Yuan, Suxia,Feng, Yayan,Xu, Hua,Cao, Yuwei,Ming, Jun,Yang, Panpan. 2016

[5]Multi-omics integration to explore the molecular insight into the volatile organic compounds in watermelon. Chengsheng Gong,Nan He,Hongju Zhu,Muhammad Anees,Xuqiang Lu,Wenge Liu. 2023

[6]Defensive Resistance of Cowpea Vigna unguiculata Control Megalurothrips usitatus Mediated by Jasmonic Acid or Insect Damage. Tao Li,Mingyue Feng,Yuanming Chi,Xing Shi,Zilin Sun,Zhen Wu,Aomei Li,Wangpeng Shi. 2023

[7]Transcriptomic and metabolomic analyses reveal that exogenous strigolactones alleviate the response of melon root to cadmium stress. Chen X.,Shi X.,Ai Q.,Han J.,Wang H.,Fu Q.. 2022

[8]Transcriptome Co-expression Network and Metabolome Analysis Identifies Key Genes and Regulators of Proanthocyanidins Biosynthesis in Brown Cotton. Zhenzhen Wang,Xiaomeng Zhang,Shoupu He,Abdul Rehman,Yinhua Jia,Hongge Li,Zhaoe Pan,Xiaoli Geng,Qiong Gao,Liru Wang,Zhen Peng,Xiongming Du. 2022

[9]Transcriptomic and Metabolomic Analysis of Wheat Kernels in Response to the Feeding of Orange Wheat Blossom Midges (Sitodiplosis mosellana) in the Field. Qian Wang,Xiaobei Liu,Huan Liu,Yu Fu,Yumeng Cheng,Lijiao Zhang,Wangpeng Shi,Yong Zhang,Julian Chen. 2022

[10]Integrated Transcriptome and Metabolome Dissecting Interaction between Vitis vinifera L. and Grapevine Fabavirus. Baodong Zhang,Mengyan Zhang,Xiaojun Jia,Guojun Hu,Fang Ren,Xudong Fan,Yafeng Dong. 2023

[11]Integrated Metabolome and Transcriptome Analysis Unveils the Underlying Molecular Response of Panax ginseng Plants to the Phytophthora cactorum Infection. Hong Kan,Shuai Qu,Kai Dong,Shihan Wang,Chen Xu,Yingping Wang,Shuang Hua. 2023

[12]Integrated metabolomics and transcriptomics insights on flavonoid biosynthesis of a medicinal functional forage, Agriophyllum squarrosum (L.), based on a common garden trial covering six ecotypes. Tingzhou Fang,Shanshan Zhou,Chaoju Qian,Xia Yan,Xiaoyue Yin,Xingke Fan,Pengshu Zhao,Yuqiu Liao,Liang Shi,Yuxiao Chang,Xiao Fei Ma. 2022

[13]Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits, and anti-inflammatory effects. Xukai Li,Jianhua Gao,Jingyi Song,Kai Guo,Siyu Hou,Xingchun Wang,Qiang He,Yanyan Zhang,Yakun Zhang,Yulu Yang,Jiaoyan Tang,Hailang Wang,Staffan Persson,Mingquan Huang,Lishuai Xu,Linlin Zhong,Dongqin Li,Yongming Liu,Hua Wu,Xianmin Diao,Pe. 2022

[14]Integrative analysis of metabolome and genome-wide transcriptome reveal the flavor changes in apple (Malus pumila Mill) after the novel acaricide cyflumetofen application. Minmin Li,Lin Li,Zhiqiang Kong,Noel Gregoire,Rui Quan,Zisheng Luo,Xingyu Lin,Jesus Simal-Gandara,Bei Fan,Fengzhong Wang. 2023

[15]Comparison of transcriptome and metabolome analysis revealed differences in cold resistant metabolic pathways in different apple cultivars under low temperature stress. Xu, Gongxun,Li, Lijie,Zhou, Jia,Lyu, Deguo,Zhao, Deying,Qin, Sijun. 2023

[16]Combining quantitative trait locus mapping with multiomics profiling reveals genetic control of corn leaf aphid (Rhopalosiphum maidis) resistance in maize. Wang, Tengyue,Wang, Kaiji,Wang, Chuanhong,Zhao, Yibing,Tao, Zhen,Li, Junyao,Wang, Lei,Shi, Jian,Huang, Shijie,Xie, Chuanxiao,Li, Peijin. 2023

[17]Editorial: Omics data-based identification of plant specialized metabolic genes. Peipei Wang,Pengxiang Fan,Yan Bao,Wei Li,Li Wang. 2023

[18]Metabolome and Transcriptome Analyses Reveal the Differences in the Molecular Mechanisms of Oat Leaves Responding to Salt and Alkali Stress Conditions. Bai, Jianhui,Lu, Peina,Li, Feng,Li, Lijun,Yin, Qiang. 2023

[19]Metabolome and Transcriptome Integration Reveals Insights Into Flavor Formation of ‘Crimson’ Watermelon Flesh During Fruit Development. Chengsheng Gong,Weinan Diao,Hongju Zhu,Muhammad Jawad Umer,Shengjie Zhao,Nan He,Xuqiang Lu,Pingli Yuan,Muhammad Anees,Dongdong Yang,M. O. Kaseb,Wenge Liu. 2021

[20]The multi-omics basis of potato heterosis. Dawei Li,Xiaoyue Lu,Yanhui Zhu,Jun Pan,Shaoqun Zhou,Xinyan Zhang,Guangtao Zhu,Yi Shang,Sanwen Huang,Chunzhi Zhang. 2022

作者其他论文 更多>>