The Seed Traits Associated with Dormancy and Germination of Herbaceous Peonies, Focusing on Species Native in Serbia and China

Marković, Tatjana; Prijić, Željana; Xue, Jingqi; Zhang, Xiuxin; Radanović, Dragoja; Ren, Xiuxia; Filipović, Vladimir; Lukić, M.; Gordanić, Stefan

doi:10.3390/horticulturae8070585

Cited by 13 publications

(4 citation statements)

References 59 publications

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“…Paeonia lactiflora Pall., a perennial herb in the Paeoniaceae family, is native to Eurasia [1]. It is a famous traditional flower in China that has both ornamental and medicinal value [2,3]. The medicinal value of P. lactiflora has been studied extensively.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Microbiome and Metabolome Analyses Reveal the Medicinal Components of Paeonia lactiflora

Yang

Zhou

et al. 2023

Plants

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Paeonia lactiflora Pall. is not only a traditional ornamental plant, but also an important medicinal plant. Currently, some P. lactiflora cultivars are used for ornamental purposes, but their potential medicinal value is ignored. To explore the medicinal potential of the ornamental varieties, the medicinal cultivar ‘Hangbaishao’ (HS) and the ornamental cultivar ‘Zifengyu’ (ZFY) were selected, and microbiome and metabolome analyses were performed to compare the composition of the endophytes and metabolites in the roots. The diversity and abundance of bacteria were not significantly different between HS and ZFY; however, the diversity and abundance of endophytic fungi in the ornamental cultivar ZFY were much higher than those in the medicinal cultivar HS. The flavonoids and phenolic acid contents of the ornamental cultivar ZFY were significantly higher than those of the medicinal cultivar HS, indicating that ZFY has medicinal value. The differences in root endophytes between HS and ZFY may lead to differences in phenolic acids and flavonoids. To explore the relationship between endophytes and the accumulation of phenolic acids and flavonoids, a joint analyses of the microbiome and metabolome were performed. The key bacterium, Ruminococcaceae bacterium GD7, led to the accumulation of phenolic acids and flavonoids in the ZFY. This study contributes to future research on the potential medicinal value of ornamental P. lactiflora and provides a new approach for realizing the ‘dual use of medicine and appreciation’ of P. lactiflora.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Microbiome and Metabolome Analyses Reveal the Medicinal Components of Paeonia lactiflora

Yang

Zhou

et al. 2023

Plants

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“…Paeonia lactiflora Pall, a perennial herb of the family Paeoniaceae and native to temperate Eurasia, is a well-known traditional Chinese species with ornamental and medicinal value [17][18][19]. As the species is extremely diverse, with more than 2200 new cultivars generated through breeding programs between 1900 and 2020 [20], it is important to explore the composition of the rhizosphere microbial community and tap the microbial resources for sustainable and healthy development of the P. lactiflora industry.…”

Section: Introductionmentioning

confidence: 99%

The Composition and Function of the Rhizosphere Bacterial Community of Paeonia lactiflora Varies with the Cultivar

Yang,

Wan,

Zhou

et al. 2023

Biology

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The composition and diversity of the rhizosphere microbial community maintain the stability of the root microclimate, and several studies have focused on this aspect of rhizosphere microorganisms. However, how these communities vary with cultivars of a species is not completely understood. Paeonia lactiflora—a perennial herb species of the family Paeoniaceae—includes a wide variety of cultivars, with rich rhizosphere microbial resources. Hence, we studied the differences in rhizosphere bacterial communities associated with eight P. lactiflora cultivars. We noted that Actinobacteria, Proteobacteria, Acidobacteria, Bacteroidetes, Firmicutes, Verrucomicrobia, Planctomycetes and Chloroflexi were the dominant phyla associated with the cultivars. The composition of rhizosphere bacterial community of different cultivars was highly similar at taxonomic levels, but there were slightly differences in the relative abundance. LEfSe analysis showed that the cultivars “Sheng Tao Hua” and “Zi Lou Xian Jin” exhibited the most biomarkers. Differential ASV analysis revealed the maximum difference in ASV abundance between “Lian Tai” and “Zi Hong Zheng Hui”, as well as between “Sheng Tao Hua” and “Tao Hua Fei Xue”, and the maximum similarity between “Duo Ye Zi” and “Xue Feng”. Co-occurrence network analysis revealed that rhizosphere bacteria in most cultivars maintain homeostasis by cooperation, wherein Actinobacteria and Proteobacteria played a vital role. In addition, microbial resources related to cultivars like bioremediation, organic degradation and resistance to diseases are found. This study revealed the structures of the rhizosphere bacterial communities associated with different cultivars of P. lactiflora and explored their stress resistance potential, which can be used to guide future agricultural practices.

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“…The identification of peony seed years is usually determined by experienced agronomic experts by looking at the color and smell, combined with planting experiments or germination experiments (Zhu and Hong, 2007;Zhou et al, 2018). Influenced by the double dormancy characteristics of peony seeds (Marković et al, 2022), the traditional year identification method has the disadvantages of a long cycle, low efficiency, high cost, strong subjectivity, and destruction. Rapid and accurate identification of peony seed years is necessary.…”

Section: Introductionmentioning

confidence: 99%

Year Identification of Seeds in Peony (Paeonia suffruticosa Andr.) Using Hyperspectral Imaging

Zhang,

Li,

Wang

et al. 2023

American Journal of Biochemistry and Biotechnology

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Seed storage year is one of the important indicators for evaluating the quality of peony seeds. It is of great significance for the development of the peony industry to carry out rapid and non-destructive year identification of peony seeds to provide a basis for the screening of aged seeds during seed breeding and processing. This study explores the feasibility of using hyperspectral imaging technology combined with machine learning methods to identify the two states of peony seeds (shelled and non-shelled) and then determines the most suitable state for the year identification of peony seeds. The two states of peony seeds (shelled and non-shelled) in 2017, 2018, and 2019 are employed as the research objects. Hyperspectral imaging data of two kinds of peony seeds in the spectral range of 935-1720 nm are collected. The machine learning methods based on the two states of peony seeds (shelled and non-shelled), including partial least squares (PLS-DA), Support Vector Machine (SVM), and Convolutional Neural Network (CNN) classification models, are established and compared. It is found that the optimal year identification models of peony seeds (shelled and non-shelled) based on hyperspectral imaging technology have better recognition effects and the recognition accuracy is more than 99.5%. Moreover, the recognition accuracy of the year identification PLS-DA model established by non-shelled peony seeds is 99.96%, which is better than that of shelled peony seeds at 99.64%. This indicates that year identification of peony seeds based on hyperspectral imaging technology is feasible and efficient and that nonshelled peony seeds are more suitable for the year identification of peony seeds. The results can provide a theoretical and methodological justification for the screening of high-quality peony seeds.

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The Seed Traits Associated with Dormancy and Germination of Herbaceous Peonies, Focusing on Species Native in Serbia and China

Cited by 13 publications

References 59 publications

Comprehensive Microbiome and Metabolome Analyses Reveal the Medicinal Components of Paeonia lactiflora

Comprehensive Microbiome and Metabolome Analyses Reveal the Medicinal Components of Paeonia lactiflora

The Composition and Function of the Rhizosphere Bacterial Community of Paeonia lactiflora Varies with the Cultivar

Year Identification of Seeds in Peony (Paeonia suffruticosa Andr.) Using Hyperspectral Imaging

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