Ethnomedicinal plants in Champadevi rural municipality, Okhaldhunga district, Nepal.

BACKGROUND: Okhaldhunga is a hilly district with fragile socioeconomic conditions, limited access to health care, social stigma, and poor resource management, where most people rely on medicinal plants for primary health care. The use of medicinal plants for primary health care varies with socioeconomic attributes. Following the intra-cultural analysis, we documented and tested the hypothesis that use of medicinal plants in Champadevi, Okhaldhunga, Nepal, depends on socioeconomic variables. METHODS: We interviewed 224 respondents, 53.12% female and 46.88% male, including 31 Brahmin, 157 Chhetri, 13 Dalit, and 23 Janajati, and conducted three focused group discussions and seven key informant interviews to record the ethnomedicinal plants used in Champadevi rural municipality, Okhaldhunga District. The relative frequency of citation (RFC) was computed to know the importance of the species. A generalized linear model (GLM) was used to see the relationship between medicinal plants reported with the sociocultural variables, which include age, gender, occupation, education, ethnicity, and religion. RESULTS: We documented 149 medicinal plants, including 69 herbs, 22 shrubs, nine climbers, 48 trees, and one parasitic plant, belonging to 68 families and 130 genera, and used to treat 48 distinct diseases and ailments. Plant parts, leaf, and digestive disorders were frequently treated during healing. Curcuma angustifolia was the most cited species with RFC 0.9554. The respondents' knowledge of medicinal plant use varied significantly with age (p = 0.0001) and occupation (p = 0.003). Changes in land use, population decline of medicinal plant species, and unsustainable harvesting practices constituted the local threats to medicinal plants and associated knowledge. Elders died without passing on their knowledge to the younger generations during sociocultural transformation, and youth disinterest coupled with the free availability of allopathic medicine led to knowledge erosion. CONCLUSIONS: The use of medicinal plants in Champadevi, Okhaldhunga, was significantly depended on two socioeconomic variables age and occupation. Ethnomedicinal plants are essential in the primary healthcare system in Nepal; however, their availability and practices are declining. Thus, plans regulating land use change and human migration, acknowledging traditional healthcare practices, and raising awareness of the significance of traditional medical practices as complementary healthcare practices should be strengthened.

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.

Identification and development of microsatellite (SSRs) makers of Exbucklandia (HAMAMELIDACEAE) by high-throughput sequencing.

Hamamelidaceae (Saxifragales, previously Rosales) comprises approximately six subfamily, 30 genera and 140 species, most of which are Tertiary relicts. Exbucklandia is the only genus of the subfamily Exbucklandioideae, Hamelidaceae, containing only 2-4 species. Of them, the species E. longipetala H. T. Chang is endemic to China and listed as endangered in The Biodiversity Red List of China: Higher Plant, yet some taxonomists put forward that E. longipetala should be merged into E. tonkinensis (Lecomte) H. T. Chang. Currently, there was nearly no phylogeographic studies on this genus possibly due to the deficiency of efficient molecular markers. In this study, we sequenced the genome of E. tonkinensis based on high throughput sequencing technology, and obtained approximately 6 G raw data, which was further de novo assembled into 303,481 contigs. Based on them, 15,326 SSRs were identified from 13,596 contigs, and primers were successfully designed for 10,660 SSRs. A total of 139 paired primers were synthesized, 106 of them were successfully amplified in six Exbucklandia individuals with expected PCR product size, and 24 demonstrated to be polymorphic among three Exbucklandia populations. Accordingly, the expected and observed heterozygosity were between 0.097-0.717 and 0.098-0.583. Based on these efforts, future researches on genetic diversity and population structure of Exbucklandia can be performed to understand its phylogenetic origins and phylogeographic pattern.