Gras Airy, Hidalgo Oriane, D'Ambrosio Ugo, Parada Montse, Garnatje Teresa, Vallès Joan
Institut Botànic de Barcelona (IBB, CSIC-Ajuntament de Barcelona), Passeig del Migdia s.n., Parc de Montjuïc, 08038 Barcelona, Catalonia, Spain.
Mediterranean Ethnobiology Programme Director, Global Diversity Foundation, 37 St. Margarets Street, Canterbury, Kent CT1 2TU, UK.
Plants (Basel). 2021 Jan 15;10(1):163. doi: 10.3390/plants10010163.
Studies suggesting that medicinal plants are not chosen at random are becoming more common. The goal of this work is to shed light on the role of botanical families in ethnobotany, depicting in a molecular phylogenetic frame the relationships between families and medicinal uses of vascular plants in several Catalan-speaking territories. The simple quantitative analyses for ailments categories and the construction of families and disorders matrix were carried out in this study. A Bayesian approach was used to estimate the over- and underused families in the medicinal flora. Phylogenetically informed analyses were carried out to identify lineages in which there is an overrepresentation of families in a given category of use, i.e., hot nodes. The ethnobotanicity index, at a specific level, was calculated and also adapted to the family level. Two diversity indices to measure the richness of reported taxa within each family were calculated. A total of 47,630 use reports were analysed. These uses are grouped in 120 botanical families. The ethnobotanicity index for this area is 14.44% and the ethnobotanicity index at the family level is 68.21%. The most-reported families are Lamiaceae and Asteraceae and the most reported troubles are disorders of the digestive and nutritional system. Based on the meta-analytic results, indicating hot nodes of useful plants at the phylogenetic level, specific ethnopharmacological research may be suggested, including a phytochemical approach of particularly interesting taxa.
越来越多的研究表明,药用植物并非随机选择。这项工作的目的是阐明植物科在民族植物学中的作用,在分子系统发育框架中描绘几个说加泰罗尼亚语地区的植物科与维管植物药用用途之间的关系。本研究对疾病类别进行了简单的定量分析,并构建了植物科与疾病矩阵。采用贝叶斯方法估计药用植物区系中过度使用和未充分使用的植物科。进行了系统发育信息分析,以确定在给定用途类别中植物科过度富集的谱系,即热点。计算了特定水平的民族植物学指数,并将其调整到植物科级水平。计算了两个多样性指数,以衡量每个植物科内报告的分类群的丰富度。总共分析了47630条用途报告。这些用途归为120个植物科。该地区的民族植物学指数为14.44%,植物科级水平的民族植物学指数为68.21%。报告最多的植物科是唇形科和菊科,报告最多的疾病是消化和营养系统疾病。基于元分析结果,在系统发育水平上表明了有用植物的热点,可能会建议进行特定的民族药理学研究,包括对特别有趣的分类群采用植物化学方法。