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沙特阿拉伯吉赞地区本土药用植物的民族植物学研究

Ethnobotanical Study of Indigenous Medicinal Plants of Jazan Region, Saudi Arabia.

作者信息

Tounekti Taieb, Mahdhi Mosbah, Khemira Habib

机构信息

Centre for Environmental Research and Studies, Jazan University, Jazan, Saudi Arabia.

出版信息

Evid Based Complement Alternat Med. 2019 Jun 2;2019:3190670. doi: 10.1155/2019/3190670. eCollection 2019.

Abstract

For a long time, the people of Saudi Arabia have been using medicinal plants (MPs) as conventional medicine to heal diverse human and livestock diseases. The present work is the first study on ethnobotanical uses of 124 MPs species used by the local tribal communities of Jazan province in the Southwest of Saudi Arabia. Ethnobotanical data were collected by interviewing 174 local informants using semistructured interviews. Informants of different ages, from several settlements belonging to several tribal communities, were interviewed. It is worth noticing that the age of informants and their knowledge of MPs were positively correlated, whereas the educational level and MP knowledge of participants were negatively correlated. To find out if there was agreement in the use of certain plants in the treatment of given ailments, we used Informant Consensus Factor (ICF). To determine the most frequently used plant species for treating a particular ailment category by local people we used the fidelity level (FL%). The Relative Frequency of Citation (RFC) was used to indicate the local importance of a species and the relative importance (RI) level was used to check the therapeutic potentials of the cited plants. A total of 124 MPs belonging to 103 genera and 48 families were collected and identified. The majority of these plants were shrubs (45%), perennial herbs (21%), annual herbs (19%), or trees (18%). The Asteraceae (10.48%), Fabaceae (7.25%), and Apocynaceae (7.25%) families were the most represented. Leaves, fruits, and whole plant (24%, 18%, and 16%, respectively) were the most used plant parts in formulating traditional medicines. and with the highest RI level (2.0) were found to have the highest range of therapeutic uses. They were followed by (1.86), and (1.81). The ICF ranged from 0.02 to 0.42 covering 12 disease categories with a prevalence of disease categories related to skin and hair problems (ICF=0.42) having 75 species cited, while 73 species were cited for gastrointestinal tract (GIT) disorders (ICF = 0.40). (67%), (64%), (60%), (55%), and (55%) had the highest FL which indicates their good healing potential against specific diseases. The high-FL species are the most promising candidate plants for in-depth pharmacological screening and merit further consideration. Accordingly, Jazan flora has good ethnobotanical potential. Unfortunately, many MP species are endangered by drought, overgrazing, and overexploitation. Some protection measures should be undertaken to prevent these species from becoming extinct. Natural reserves and wild nurseries are typical settings to retain medically important plants in their natural habitats, while botanic gardens and seed banks are important paradigms for conservation.

摘要

长期以来,沙特阿拉伯人民一直将药用植物用作传统药物来治疗各种人类和牲畜疾病。本研究首次对沙特阿拉伯西南部吉赞省当地部落社区使用的124种药用植物的民族植物学用途进行了研究。通过使用半结构化访谈对174名当地信息提供者进行访谈来收集民族植物学数据。访谈了来自几个部落社区的几个定居点的不同年龄的信息提供者。值得注意的是,信息提供者的年龄与他们对药用植物的了解呈正相关,而参与者的教育水平与对药用植物的了解呈负相关。为了查明在使用某些植物治疗特定疾病方面是否存在共识,我们使用了信息提供者共识因子(ICF)。为了确定当地人治疗特定疾病类别最常用的植物种类,我们使用了保真度水平(FL%)。引用相对频率(RFC)用于表明一个物种在当地的重要性,相对重要性(RI)水平用于检查所引用植物的治疗潜力。总共收集并鉴定了属于103属48科的124种药用植物。这些植物大多数是灌木(45%)、多年生草本植物(21%)、一年生草本植物(19%)或树木(18%)。菊科(10.48%)、豆科(7.25%)和夹竹桃科(7.25%)是代表性最强的科。叶子、果实和整株植物(分别为24%、18%和16%)是配制传统药物时最常用的植物部位。RI水平最高(2.0)的[植物名称1]和[植物名称2]被发现具有最广泛的治疗用途。其次是[植物名称3](1.86)、[植物名称4]和[植物名称5](1.81)。ICF范围从0.02到0.42,涵盖12种疾病类别,其中与皮肤和头发问题相关的疾病类别患病率最高(ICF = 0.42),有75种植物被引用,而胃肠道疾病(ICF = 0.40)有73种植物被引用。[植物名称6](67%)、[植物名称7](64%)、[植物名称8](60%)、[植物名称9](55%)和[植物名称10](55%)的FL最高,这表明它们对特定疾病具有良好的治疗潜力。高FL物种是进行深入药理筛选最有前景的候选植物,值得进一步考虑。因此,吉赞的植物群具有良好的民族植物学潜力。不幸的是,许多药用植物物种因干旱、过度放牧和过度开发而濒危。应该采取一些保护措施来防止这些物种灭绝。自然保护区和野生苗圃是在自然栖息地保留具有医学重要性植物的典型场所,而植物园和种子库是保护[植物名称]的重要范例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/362b/6582903/36decf51b651/ECAM2019-3190670.001.jpg

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