The use of medicinal plants to prevent COVID-19 in Nepal.

BACKGROUND: Medicinal plants are the fundamental unit of traditional medicine system in Nepal. Nepalese people are rich in traditional medicine especially in folk medicine (ethnomedicine), and this system is gaining much attention after 1995. The use of medicinal plants has increased during the COVID-19 pandemic as a private behavior (not under the control of government). A lot of misinterpretations of the use of medicinal plants to treat or prevent COVID-19 have been spreading throughout Nepal which need to be managed proactively. In this context, a research was needed to document medicinal plants used, their priority of use in society, their cultivation status, and the source of information people follow to use them. This study aimed to document the present status of medicinal plant use and make important suggestion to the concerned authorities. METHODS: This study used a web-based survey to collect primary data related to medicinal plants used during COVID-19. A total of 774 respondents took part in the survey. The study calculated the relative frequencies of citation (RFC) for the recorded medicinal plants. The relationship between plants recorded and different covariates (age, gender education, occupation, living place, and treatment methods) was assessed using Kruskal-Wallis test and Wilcoxon test. The relationship between the information sources people follow and the respondent characteristics was assessed using chi-square test. RESULTS: The study found that the use of medicinal plants has increased during COVID-19 and most of the respondents recommended medicinal plants to prevent COVID-19. This study recorded a total of 60 plants belonging to 36 families. The leaves of the plants were the most frequently used. The Zingiber officinale was the most cited species with the frequency of citation 0.398. Most of the people (45.61%) were getting medicinal plants from their home garden. The medicinal plants recorded were significantly associated with the education level, location of home, primary treatment mode, gender, and age class. The information source of plants was significantly associated with the education, gender, method of treatment, occupation, living with family, and location of home during the lockdown caused by COVID-19. CONCLUSIONS: People were using more medicinal plants during COVID-19 claiming that they can prevent or cure COVID-19. This should be taken seriously by concerned authorities. The authorities should test the validity of these medicinal plants and control the flow of false information spread through research and awareness programs.

Phylogenomic analyses based on genome-skimming data reveal cyto-nuclear discordance in the evolutionary history of Cotoneaster (Rosaceae).

As a consequence of hybridization, polyploidization, and apomixis, the genus Cotoneaster (Rosaceae) represents one of the most complicated and controversial lineages in Rosaceae, with ca. 370 species which have been classified into two subgenera and several sections, and is notorious for its taxonomic difficulty. The infrageneric relationships and taxonomy of Cotoneaster have remained poorly understood. Previous studies have focused mainly on natural hybridization involving only several species, and phylogeny based on very limited markers. In the present study, the sequences of complete chloroplast genomes and 204 low-copy nuclear genes of 72 accessions, representing 69 species as ingroups, were used to conduct the most comprehensive phylogenetic analysis so far for Cotoneaster. Based on the sequences of complete chloroplast genomes and many nuclear genes, our analyses yield two robust phylogenetic trees respectively. Chloroplast genome and nuclear data confidently resolved relationships of this genus into two major clades which largely supported current classification based on morphological evidence. However, conflicts between the chloroplast genome and low-copy nuclear phylogenies were observed in both the species level and clade level. Cyto-nuclear discordance in the phylogeny could be caused by frequent hybridization events and incomplete sorting lineage (ILS). In addition, our divergence-time analysis revealed an evolutionary radiation of the genus from late Miocene to date.