该文在野外调查、标本采集、标本查阅与鉴定及文献考证的基础上,对西藏墨脱县产的蔷薇科悬钩子属植物进行了系统整理。结果表明:目前发现该区共有悬钩子属植物28种4变种,其中Rubus lineatus Reinw. var. glabrior Hook. f.为中国分布新记录植物,小柱悬钩子(R. columellaris Tutcher)、红毛悬钩子(R. wallichianus Wight et Arn.)、独龙悬钩子(R. taronensis C. Y. Wu ex T. T. Yu et L. T. Lu)和疏松悬钩子(R. efferatus Craib)为西藏分布新记录植物。该文还对《中国植物志》和Flora of China中该属部分学名的不恰当使用进行了探讨。
Pan-Himalaya covers the northeastern Hindu-Kush,Karakoram,Himalaya,and Hengduan mountains.These majestic mountain ranges form the highest region in the world,which is called“the roof of the world.”Of the 35 recognized biodiversity hotspots in the world,1 three are wholly or partially included in Pan-Himalaya,i.e.,Himalaya,Mountains of Southwest China,and Indo-Burma.However,although this region is an important and indispensable source of biodiversity,the plant diversity of Pan-Himalaya is poorly known.
Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes (motK, rbcL, and ITS) were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment (PWG) distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.
XIE LeiWANG Ying WeiGUAN Shan YueXIE Li JingLONG XinSUN Cheng Ye