Paeonia suffruticosa

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Liang-sheng Wang - One of the best experts on this subject based on the ideXlab platform.

  • a novel r2r3 myb transcription factor contributes to petal blotch formation by regulating organ specific expression of pschs in tree peony Paeonia suffruticosa
    Plant and Cell Physiology, 2019
    Co-Authors: Jin Zhu, Qianyu Wang, Qingyan Shu, Qing Hao, Zhengan Liu, Yaowu Yuan, Yuanwen Duan, Siqi Men, Qinzheng Hou, Liang-sheng Wang
    Abstract:

    Flower color patterns play critical roles in plant-pollinator interactions and represent one of the most common adaptations during angiosperm evolution. However, the molecular mechanisms underlying flower color pattern formation are less understood in non-model organisms. The aim of this study was to identify genes involved in the formation of petal blotches in tree peony (Paeonia suffruticosa) through transcriptome profiling and functional experiments. We identified an R2R3-MYB gene, PsMYB12, representing a distinct R2R3-MYB subgroup, with a spatiotemporal expression pattern tightly associated with petal blotch development. We further demonstrated that PsMYB12 interacts with a basic helix-loop-helix (bHLH) and a WD40 protein in a regulatory complex that directly activates PsCHS expression, which is also specific to the petal blotches. Together, these findings advance our understanding of the molecular mechanisms of pigment pattern formation beyond model plants. They also benefit molecular breeding of tree peony cultivars with novel color patterns and promote germplasm innovation.

  • fatty acid desaturase 3 psfad3 from Paeonia suffruticosa reveals high α linolenic acid accumulation
    Plant Science, 2018
    Co-Authors: Dandan Yin, Cheng-yong Feng, Qingyan Shu, Liang-sheng Wang
    Abstract:

    Abstract α-linolenic acid (ALA) deficiency and a skewed ω6: ω3 fatty acid ratio in the diet are thought to be a major cause for the high incidence of cardiovascular, inflammatory, and autoimmune diseases. Recent years, tree peony (Paeonia suffruticosa Andr.) with the high proportion of ALA (more than 45% in seed oil) is widely concerned. However, the underlying accumulation mechanism of the ALA in tree peony seeds remains unknown. In this study, comparative transcriptome analysis was performed between two cultivars (‘Saiguifei’ and ‘Jingshenhuanfa’) with different ALA contents. The analysis of the metabolic enzymes associated with ALA biosynthesis and temporal accumulation patterns of unsaturated fatty acids demonstrated the importance of microsomal ω-3 fatty acid desaturase 3 (FAD3). Moreover, PsFAD3 gene was identified from tree peony seeds, which was located in endoplasmic reticulum and the expression levels of PsFAD3 were consistent with ALA accumulation patterns in seeds. Heterologous expression in Saccharomyces cerevisiae and Arabidopsis thaliana confirmed that the isolated PsFAD3 protein could catalyze ALA synthesis. These results indicated that PsFAD3 was involved in the synthesis of ALA in seeds and could be exploited by the genetic breeding of new cultivars with high ALA content in tree peony as well as other potential crops.

  • phytochemical variation among the traditional chinese medicine mu dan pi from Paeonia suffruticosa tree peony
    Phytochemistry, 2018
    Co-Authors: Dandan Yin, Cheng-yong Feng, Zhengan Liu, Liang-sheng Wang
    Abstract:

    Mu Dan Pi is a traditional Chinese medicine used to treat inflammation, cancer, allergies, diabetes, angiocardiopathy, and neurodegenerative diseases. In this study, the metabolome variation within Mu Dan Pi collected from 372 tree peony cultivars was systematically investigated. In total, 42 metabolites were identified, comprising of 14 monoterpene glucosides, 11 tannins, 8 paeonols, 6 flavonoids, and 3 phenols. All cultivars revealed similar metabolite profiles, however, they were further classified into seven groups on the basis of their varying metabolite contents by hierarchical cluster analysis. Traditional cultivars for Mu Dan Pi were found to have very low metabolite contents, falling into clusters I and II. Cultivars with the highest amounts of metabolites were grouped in clusters VI and VII. Five potential cultivars, namely, 'Bai Yuan Qi Guan', 'Cao Zhou Hong', 'Da Zong Zi', 'Sheng Dan Lu', and 'Cheng Xin', with high contents of monoterpene glycosides, tannins, and paeonols, were further screened. Interestingly, the majority of investigated cultivars had relatively higher metabolite contents compared to the traditional medicinal tree peony cultivars.

  • two est derived marker systems for cultivar identification in tree peony
    Plant Cell Reports, 2012
    Co-Authors: Jian Zhang, Liang-sheng Wang, Qingyan Shu, Zhengan Liu, Hongxu Ren, E De Keyser
    Abstract:

    Tree peony (Paeonia suffruticosa Andrews), a woody deciduous shrub, belongs to the section Moutan DC. in the genus of Paeonia of the Paeoniaceae family. To increase the efficiency of breeding, two EST-derived marker systems were developed based on a tree peony expressed sequence tag (EST) database. Using target region amplification polymorphism (TRAP), 19 of 39 primer pairs showed good amplification for 56 accessions with amplicons ranging from 120 to 3,000 bp long, among which 99.3% were polymorphic. In contrast, 7 of 21 primer pairs demonstrated adequate amplification with clear bands for simple sequence repeats (SSRs) developed from ESTs, and a total of 33 alleles were found in 56 accessions. The similarity matrices generated by TRAP and EST-SSR markers were compared, and the Mantel test (r = 0.57778, P = 0.0020) showed a moderate correlation between the two types of molecular markers. TRAP markers were suitable for DNA fingerprinting and EST-SSR markers were more appropriate for discriminating synonyms (the same cultivars with different names due to limited information exchanged among different geographic areas). The two sets of EST-derived markers will be used further for genetic linkage map construction and quantitative trait locus detection in tree peony.

Liqin Ding - One of the best experts on this subject based on the ideXlab platform.

Feng Qiu - One of the best experts on this subject based on the ideXlab platform.

Xinsheng Yao - One of the best experts on this subject based on the ideXlab platform.

Feng Zhao - One of the best experts on this subject based on the ideXlab platform.