Integrated metabolic profiling and transcriptome analysis of pigment accumulation in diverse petal tissues in the lily cultivar 'Vivian'

百合品种‘Vivian’不同花瓣组织中色素积累的综合代谢分析和转录组分析

阅读:6
作者:Xiaojuan Yin, Xinyue Lin, Yuxuan Liu, Muhammad Irfan, Lijing Chen, Li Zhang

Background

Petals are the colorful region of many ornamental plants. Quality traits of petal color directly affect the value of ornamental plants. Although the regulatory mechanism of flower color has been widely studied in many plants, that of lily flower color is still worth further exploration.

Conclusions

This data will help us to further understand the regulation network of lily petal pigmentation and create different unique color species.

Results

In this study, the pigmentation regulatory network in different regions of the petal of lily cultivar 'Vivian' was analyzed through tissue structure, metabolites biosynthesis, and gene expression. We found that cell morphology of the petal in un-pigmented region differed from that in pigmented region. The cell morphology tends to flatten in un-pigmented region where the color is lighter. Moreover, high level anthocyanin was found in the pigmented regions by metabonomic analysis, especially cyanidin derivatives. However, flavanones were accumulated, contrast with anthocyanin in the un-pigmented regions of lily petal. To understand the relationship of these different metabolites and lily flower color, RNA-Seq was used to analyze the differentially expressed genes-related metabolite biosynthesis. Among these genes, the expression levels of several genes-related cyanidin derivatives biosynthesis were significantly different between the pigmented and un-pigmented regions, such as LvMYB5, LvMYB7, LvF3'H, LvDFR, LvANS and Lv3GT. Conclusions: This data will help us to further understand the regulation network of lily petal pigmentation and create different unique color species.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。