Literature DB >> 31416008

Comparative transcriptomics and weighted gene co-expression correlation network analysis (WGCNA) reveal potential regulation mechanism of carotenoid accumulation in Chrysanthemum × morifolium.

Chenfei Lu1, Ya Pu1, Yuting Liu1, Yajun Li1, Jiaping Qu1, He Huang2, Silan Dai3.   

Abstract

The variation of flower color of chrysanthemum (Chrysanthemum×morifolium) is extremely rich, and carotenoids, which are mainly stored in the plastid, are important pigments that determine the color of chrysanthemum. However, the genetic regulation of the carotenoid metabolism pathway in this species still remains unclear. In this study, a pink chrysanthemum cultivar, 'Jianliuxiang Pink', and its three bud sport mutants (including white, yellow and red color mutants, 'Jianliuxiang White', 'Jianliuxiang Yellow' and 'Jianliuxiang Red', respectively) were used as experimental materials to analyze the dynamic changes of carotenoid components and plastid ultrastructure at different developmental stages of ray florets. We found that the carotenoid components and plastid ultrastructure of the four color cultivars in the early developmental stage of the chrysanthemum capitulum (S1) were almost identical, and the carotenoids mainly included violaxanthin, lutein and β-carotene, which exist in proplastids and immature chloroplasts. With the development of capitulum, the chloroplasts in 'Jianliuxiang White' and 'Jianliuxiang Pink' were degraded, and the protoplasts did not transform but rather formed vesicles that accumulated trace amounts of carotenoids. The proplastids and chloroplasts in 'Jianliuxiang Yellow' and 'Jianliuxiang Red' were all transformed into chromoplasts and consist of lutein as well as lutein's isomer and derivatives. Using comparative transcriptomics combined with gene expression analysis, we found that CmPg-1, CmPAP10, and CmPAP13, which were involved in chromoplast transformation, CmLCYE, which was involved in carotenoid biosynthesis, and CmCCD4a-2, which was involved in carotenoid degradation, were differentially expressed between four cultivars, and these key genes therefore should affect the accumulation of carotenoids in chrysanthemum. In addition, six transcription factors, CmMYB305, CmMYB29, CmRAD3, CmbZIP61, CmAGL24, CmNAC1, were screened using weighted gene co-expression correlation network analysis (WGCNA) combined with correlative analysis to determine whether they play an important role in carotenoid accumulation by regulating structural genes related to the carotenoid metabolism pathway and plastid development. This study analyzed dynamic changes of carotenoid components and plastid ultrastructure of the four bud mutation cultivars of chrysanthemum and identified structural genes and transcription factors that may be involved in carotenoid accumulation. The above results laid a solid foundation for further analysis of the regulatory mechanism of the carotenoid biosynthesis pathway in chrysanthemum.
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Carotenoids; Chloroplasts; Chromoplasts; Chrysanthemum; Proplastids; Ultrastructures; WGCNA

Mesh:

Substances:

Year:  2019        PMID: 31416008     DOI: 10.1016/j.plaphy.2019.07.023

Source DB:  PubMed          Journal:  Plant Physiol Biochem        ISSN: 0981-9428            Impact factor:   4.270


  9 in total

1.  Comparison of the transcriptomic responses of two Chrysanthemum morifolium cultivars to low light.

Authors:  Shuang Han; Qingchen Zhang; Haojie Wang; Dongli Pei
Journal:  Mol Biol Rep       Date:  2021-10-23       Impact factor: 2.316

2.  Functional analysis of the ScAG and ScAGL11 MADS-box transcription factors for anthocyanin biosynthesis and bicolour pattern formation in Senecio cruentus ray florets.

Authors:  Fangting Qi; Yuting Liu; Yiliu Luo; Yumeng Cui; Chenfei Lu; Hao Li; He Huang; Silan Dai
Journal:  Hortic Res       Date:  2022-03-23       Impact factor: 7.291

3.  The transcription factor complex CmAP3-CmPI-CmUIF1 modulates carotenoid metabolism by directly regulating carotenogenic gene CmCCD4a-2 in chrysanthemum.

Authors:  Chenfei Lu; Jiaping Qu; Chengyan Deng; Fangye Liu; Fan Zhang; He Huang; Silan Dai
Journal:  Hortic Res       Date:  2022-02-19       Impact factor: 7.291

4.  Proteomics and Co-expression Network Analysis Reveal the Importance of Hub Proteins and Metabolic Pathways in Nicotine Synthesis and Accumulation in Tobacco (Nicotiana tabacum L.).

Authors:  Zejun Mo; Lili Duan; Yuanyuan Pu; Zonglin Tian; Yuzhou Ke; Wen Luo; Kai Pi; Ying Huang; Qiong Nie; Renxiang Liu
Journal:  Front Plant Sci       Date:  2022-04-28       Impact factor: 6.627

5.  Comparison of chrysanthemum flowers grown under hydroponic and soil-based systems: yield and transcriptome analysis.

Authors:  Penghui Ai; Xiaoqi Liu; Zhongai Li; Dongru Kang; Muhammad Ayoub Khan; Han Li; Mengkang Shi; Zicheng Wang
Journal:  BMC Plant Biol       Date:  2021-11-08       Impact factor: 4.215

6.  Integrative Analysis of Metabolome and Transcriptome Reveals the Mechanism of Color Formation in Liriope spicata Fruit.

Authors:  Sichen Gan; Gang Zheng; Shoukuo Zhu; Jieyu Qian; Lijun Liang
Journal:  Metabolites       Date:  2022-02-04

7.  Putative Transcription Factor Genes Associated with Regulation of Carotenoid Biosynthesis in Chili Pepper Fruits Revealed by RNA-Seq Coexpression Analysis.

Authors:  Maria Guadalupe Villa-Rivera; Octavio Martínez; Neftalí Ochoa-Alejo
Journal:  Int J Mol Sci       Date:  2022-10-04       Impact factor: 6.208

8.  Identification of Chlorophyll Metabolism- and Photosynthesis-Related Genes Regulating Green Flower Color in Chrysanthemum by Integrative Transcriptome and Weighted Correlation Network Analyses.

Authors:  Hansen Fu; Tuo Zeng; Yangyang Zhao; Tingting Luo; Huijie Deng; Chenwei Meng; Jing Luo; Caiyun Wang
Journal:  Genes (Basel)       Date:  2021-03-21       Impact factor: 4.096

9.  Comparative Transcriptome and Weighted Gene Co-expression Network Analysis Identify Key Transcription Factors of Rosa chinensis 'Old Blush' After Exposure to a Gradual Drought Stress Followed by Recovery.

Authors:  Xin Jia; Hui Feng; Yanhua Bu; Naizhe Ji; Yingmin Lyu; Shiwei Zhao
Journal:  Front Genet       Date:  2021-07-15       Impact factor: 4.599

  9 in total

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