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基于DNA条形码的药用植物系统发育分析及其保护状况评估:以中国天山野生森林为例

Insights from DNA Barcodes-Based Phylogenetic Analysis of Medicinal Plants and Estimation of Their Conservation Status: A Case Study in the Tianshan Wild Forest, China.

作者信息

Jiamahate Aerguli, Bozorov Tohir A, Wang Jiancheng, Zhang Jianwei, Zhang Hongxiang, Wang Xiyong, Yang Honglan, Zhang Daoyuan

机构信息

Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.

University of Chinese Academy of Sciences, Beijing 100040, China.

出版信息

Plants (Basel). 2025 Jan 1;14(1):99. doi: 10.3390/plants14010099.

Abstract

The Tianshan wild fruit forest region is a vital repository of plant biodiversity, particularly rich in the unique genetic resources of endemic medicinal plants in this ecological niche. However, human activities such as unregulated mining and excessive grazing have led to a significant reduction in the diversity of these medicinal plants. This study represents the first application of DNA barcoding to 101 medicinal plants found in the Tianshan wild fruit forests, using three genetic loci along with morphological identification methods. A phylogenetic analysis was performed to delineate species relationships. The results indicate that the internal transcribed spacer (ITS) region has been identified as the most reliable barcode for species identification across different families, while combining data from multiple gene segments can improve species detection. Moreover, the Analytical Hierarchy Process (AHP) was employed to assess and prioritize the 101 medicinal plants, highlighting 23 species as candidates for urgent conservation efforts in the region. The approaches and insights from this study provide a significant benchmark for DNA barcoding studies on medicinal plants with local significance and establish an evaluative framework for the conservation of biodiversity and the surveillance of genetic resources among medicinal plants in the Tianshan wild fruit forest area.

摘要

天山野生果林地区是植物生物多样性的重要宝库,尤其富含这一生态位中特有药用植物的独特遗传资源。然而,无序采矿和过度放牧等人类活动导致这些药用植物的多样性大幅减少。本研究首次将DNA条形码技术应用于天山野生果林中发现的101种药用植物,使用了三个基因位点以及形态学鉴定方法。进行了系统发育分析以描绘物种关系。结果表明,内部转录间隔区(ITS)区域已被确定为跨不同科进行物种鉴定最可靠的条形码,而结合多个基因片段的数据可以提高物种检测率。此外,采用层次分析法(AHP)对这101种药用植物进行评估和排序,突出了23个物种作为该地区急需保护的候选对象。本研究的方法和见解为具有地方意义的药用植物DNA条形码研究提供了重要基准,并为天山野生果林地区药用植物的生物多样性保护和遗传资源监测建立了一个评估框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0c7/11723300/da49eeb605c1/plants-14-00099-g001.jpg

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