Polygonaceae is widely distributed worldwide, with the genus Persicaria being one of its most medicinally important groups. Nonetheless, genomic research on this genus remains relatively sparse. Moreover, accurate identification of Persicaria species is challenging due to significant morphological variation and similarities, which hinders the development and utilization of their medicinal resources. To address these issues, this study undertook the sequencing, assembly, and annotation of the chloroplast genomes of 11 Persicaria species from Guangxi and reconstructed a phylogenetic tree. The findings reveal that the chloroplast genome lengths of these 11 species range from 159,028 to 161,023 bp, displaying a typical quadripartite structure comprising a large single-copy (LSC) region, a small single-copy (SSC) region, and two inverted repeat (IR) regions. All chloroplast genomes contain four rRNA genes, 30 tRNA genes, and between 74 and 78 protein-coding genes. The codon usage in the chloroplast genomes shows a preference for A or T at the codon endings. The flanking genes at the IR boundaries are highly consistent among the 11 species, indicating that these boundary regions are conserved within the genus Persicaria . Phylogenetic analysis indicates that the 11 species form distinct clades within Persicaria , separate from the genera Calligonum and Fallopia. The findings of this study reveal significant evolutionary conservation and divergence within Persicaria species in Guangxi. The BEAST estimate the stem age of the genus Persicaria to be 81.89 Ma. This research elucidates the phylogenetic positions of these 11 species within Persicaria , offering a scientific foundation for species identification, advancing the understanding of the evolutionary history of the genus in Guangxi, and providing insights into their genetic diversity to support the rational development and utilization of their medicinal resources.

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Background The Shui are a small Chinese sociolinguistic group living in Sandu Shui Autonomous County, south of Guizhou Province. The Shui people have accumulated and developed rich traditional medicinal knowledge, which has played a significant role in their healthcare. Traditional ethnic herbal medicines, like Shui ethnomedicine, have become an important resource of rural development in Guizhou Province. However, not much research has been conducted to document the medicinal plants traditionally used by the Shui people. This study's aims are (1) to record the current use of medicinal plants in Sandu County and associated traditional knowledge, including the medicinal plant species used and the types of diseases treated by local healers and any unique aspects of their preparations; (2) to analyze the most important medicinal plant species using relative frequency of citation (RFC); and (3) to provide useful information and data for possible future development and application of ethnomedicine and promote the conservation and preservation of Shui traditional medicinal knowledge. Methods Field surveys were conducted between July 2015 and August 2022 in Sandu County. A total of 15 local healers as key informants were interviewed. An additional 132 informants from villages and local markets were also interviewed through semistructured interviews and focal group discussions. Local Shui healers were followed during their collection of medicinal plants in the fields and recorded the medicinal plants' names, uses, and parts used. An ANOVA was used to evaluate the number of medicinal plants recognized by local healers across age-groups and townships, and relative frequencies of citation values were determined for the recorded medicinal plants. Results In this study, data collected from 15 Shui healers and 132 other informants were analyzed. The healers used fresh or dried parts of 505 plant species as medicine to treat a wide range of conditions and diseases. These plants belong to 405 genera from 156 families, with Fabaceae being the highest represented plant family. The Jiuqian township had the highest distribution of per capita healers (pch); only one local healer was in Zhonghe. Of the 15 local healers, only two were younger than 40 years of age. There is a major concern that traditional medicinal knowledge may be lost if there are not sufficient trainees or suitable successors. Among the common medicinal plants, most are herbaceous and the Shui typically use the whole plant in their medicines. There are 85 different recorded diseases treated by Shui medicinal plants, and among them, rheumatism and bone fractures have the largest number of species used. Three medicinal plant species, Isodon amethystoides, Asarum insigne, and Acorus tatarinowii, are the most commonly used ethnomedicines by the Shui people. Conclusion This study demonstrated that Shui people have extensive knowledge of a diverse range of medicinal plants, many of which had not been systematically recorded before the current study. Further research on the chemistry, pharmacology, and toxicity of Shui medicinal plants will be useful for developing functional foods or pharmaceutical products, particularly those of Isodon amethystoides, Asarum insigne, and Acorus tatarinowii. Additionally, as a result of rapid economic growth, fewer young people in Shui communities pursue traditional medicinal studies. Only 15 traditional Shui healers remain in the county, and only two of them are below the age of 40 years. Therefore, to conserve Shui's traditional medicinal knowledge, initiatives and policies are required to regenerate, strengthen, and promote Shui medicinal knowledge.

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Increased ungulate browsing alters the composition of plant communities and modifies forest ecosystems worldwide. Ungulates alter their diet following changes in availability of plant species; however, we know little about how browse selection and plant community composition change with different stages of deer establishment. Here, we provide insight into this area of study by combining multiple approaches: comparison of the understory plant community, analysis of records of browsing damage, and DNA barcoding of sika deer feces at 22 sites in forests in northern Japan varying in when deer were first established. The coverage of vegetation and number of plant species were only lower at sites where deer were present for more than 20 years, while the difference in plant coverage among deer establishment years varied among plant species. Deer diet differed across establishment years, but was more affected by the site, thereby indicating that food selection by deer could change over several years after deer establishment. Plant life form and plant architecture explained the difference in plant coverage across establishment years, but large variability was observed in deer diet within the two categories. Integrating these results, we categorized 98 plant taxa into six groups that differed in vulnerability to deer browsing (degree of damage and coverage). The different responses to browsing among plant species inferred from this study could be a first step in predicting the short- and long-term responses of forest plant communities to deer browsing.

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Premise Understanding the flower visitation history of individual pollinators is key in the study of pollination networks, but direct tracking is labor intensive and, more important, does not capture information about the previous interactions of an individual. Therefore, a protocol to detect most of the pollen species on the body surfaces of an individual pollinator could elucidate its flower visitation history. Methods and results Under a microscope, we observed 6.0-µL droplets from a sample solution (1.0 or 3.0 mL) containing pollen grains collected from individuals of six major pollinator functional groups. To clarify how many droplets need to be observed to detect all pollen species within the solution, we examined up to 10 droplets collected from each individual insect. Sample-based rarefaction curve analyses of the data showed that we could detect ~90% of the pollen species and the plant-pollinator links in the networks by observing six droplets. Conclusions The rarefaction curve analysis for pollen-on-pollinator studies is a useful preliminary step for minimizing the time and labor required while maximizing the data on the flower visitation history of each individual pollinator and revealing any hidden flower-pollinator interactions.

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The genus Ramularia includes numerous phytopathogenic species, several of which are economically important. Ramularia eucalypti is currently the only species of this genus known to infect Eucalyptus by causing severe leaf-spotting symptoms on this host. However, several isolates identified as R. eucalypti based on morphology and on nrDNA sequence data of the ITS region have recently been isolated from other plant hosts, from environmental samples and also from human clinical specimens. Identification of closely related species based on morphology is often difficult and the ITS region has previously been shown to be unreliable for species level identification in several genera. In this study we aimed to resolve this species-complex by applying a polyphasic approach involving morphology, multi-gene phylogeny and matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS). Six partial genes (ITS, ACT, TEF1-α, HIS3, GAPDH and RPB2) were amplified and sequenced for a total of 44 isolates representing R. eucalypti s.lat. and closely related species. A multi-gene Bayesian phylogenetic analysis and parsimony analysis were performed, and both the resulting trees showed significant support for separation of seven species in R. eucalypti s.lat., including two previously described (R. eucalypti and R. miae), four novel species here described (R. haroldporteri, R. glennii, R. mali and R. plurivora) and one undescribed Ramularia species (sterile). Additionally, Mycosphaerella nyssicola is newly combined in Ramularia as R. nyssicola. Main mass spectra (MSPs) of several R. eucalypti s.lat. strains were generated using MALDI-TOF MS and were compared through a Principal Component Analysis (PCA) dendogram. The PCA dendrogram supported three clades containing R. plurivora, R. glenni/R. mali and R. eucalypti/R. miae. Although the dendrogram separation of species differed from the phylogenetic analysis, the clinically relevant strains were successfully identified by MALDI-TOF MS.

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