1. Integrative morphological, phytochemical, and molecular identification of three invasive and medicinal Reynoutria species
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Marta Stafiniak, Monika Bielecka, Krzysztof Kujawa, Anna Jezierska-Domaradzka, Bartosz Pencakowski, Aleksander Basiak, Adam Matkowski, and Izabela Nawrot-Hadzik
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Medicine ,Science - Abstract
Abstract The three highly invasive Reynoutria species – R. japonica Houtt., Reynoutria sachalinensis (F.Schmidt) Nakai, and a hybrid of them – R. x bohemica J. Chrtek & A. Chrtková are rich sources of biologically active compounds. However, only R. japonica is accepted as an herbal drug source in the pharmacopeias as Polygoni cuspidati rhizoma et radix, while R. sachalinensis is used in folk phytotherapy. The hybrid species can be misidentified as R. japonica due to its morphological resemblance. This study intended to explore genetic identity, diversity, and population structure using sequence-related amplified polymorphisms (SRAP) and start codon targeted (SCoT) markers correlated with morphological characteristics and metabolic profiles in fifteen accessions of Reynoutria species from invasive populations in Central Europe (Wroclaw, south-west Poland). The results suggest that morphological identification based on leaf morphology is clear for R. sachalinensis but fails to distinguish between R. japonica and R. × bohemica unambiguously. The qualitative HPLC/DAD/ESI-HR-QTOF-MS analysis determined the chemical composition of collected samples, revealing 117 compounds belonging to carbohydrates, stilbenes, flavan-3-ols, procyanidins, anthraquinones, organic acids, and naphthalenes. Out of these, the six compounds were quantitated. Based on LC-MS data for 117 compounds, the cluster analysis categorized the fifteen accessions into two distinctive clusters. All SCoT and SRAP markers showed medium (0.1 to 0.25) to high (0.30 to 0.40) levels of PIC, high levels of polymorphic bands (85 and 89%, respectively) and relatively high mean values for Rp (6.42 and 7.0) and were considered informative and differentiating. Partitioning the genetic diversity with AMOVA showed that variation within the populations was higher than among them, as seen in the combined data from SCoT and SRAP (53.04% vs. 46.96%, respectively) and the analyses of individual markers. Genetic diversity indices revealed that chosen genetic markers efficiently assess the variability within the genus Reynoutria. Na varied from 1.57 in R. sachalinensis to 3.34 in R. x bohemica, and Ne was low and almost identical for all species (~ 1.6). Nei’s diversity (H) indicated low genetic diversity (
- Published
- 2025
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