Chemical Constituents of the Roots of Fallopia multiflora

Han, Yu; Duan, Baorong; Wang, Qiyan; Feng, Lijuan; Gu, Lulu; Weng, Yonggen

doi:10.1007/s10600-022-03637-6

Cited by 1 publication

(1 citation statement)

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“…Although the classification of Polygonaceae plants is continuously being updated, the latest plant revision names have not been widely promoted. For instance, most recent studies on P. multiflorus still use its synonym F. multiflora 8 – 10 .…”

Section: Introductionmentioning

confidence: 99%

Phylogenetic relationships, selective pressure and molecular markers development of six species in subfamily Polygonoideae based on complete chloroplast genomes

Feng,

Zheng,

Jiang

et al. 2024

Sci Rep

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The subfamily Polygonoideae encompasses a diverse array of medicinal and horticultural plants that hold significant economic value. However, due to the lack of a robust taxonomy based on phylogenetic relationships, the classification within this family is perplexing, and there is also a scarcity of reports on the chloroplast genomes of many plants falling under this classification. In this study, we conducted a comprehensive analysis by sequencing and characterizing the complete chloroplast genomes of six Polygonoideae plants, namely Pteroxygonum denticulatum, Pleuropterus multiflorus, Pleuropterus ciliinervis, Fallopia aubertii, Fallopia dentatoalata, and Fallopia convolvulus. Our findings revealed that these six plants possess chloroplast genomes with a typical quadripartite structure, averaging 162,931 bp in length. Comparative chloroplast analysis, codon usage analysis, and repetitive sequence analysis demonstrated a high level of conservation within the chloroplast genomes of these plants. Furthermore, phylogenetic analysis unveiled a distinct clade occupied by P. denticulatum, while P. ciliinrvis displayed a closer relationship to the three plants belonging to the Fallopia genus. Selective pressure analysis based on maximum likelihood trees showed that a total of 14 protein-coding genes exhibited positive selection, with psbB and ycf1 having the highest number of positive amino acid sites. Additionally, we identified four molecular markers, namely petN-psbM, psal-ycf4, ycf3-trnS-GGA, and trnL-UAG-ccsA, which exhibit high variability and can be utilized for the identification of these six plants.

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Section: Introductionmentioning

confidence: 99%