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[1]顾选,张晓芹,宋晓娜,等.基于DNA条形码—产地—形态分析联用的巴西草药PICAO(鬼针草)的鉴定[J].环球中医药,2015,8(11):1287-1290.[doi:10.3969/j.issn.1674-1749.2015.11.003]
 GU Xuan,ZHANG Xiao qin,SONG Xiao na,et al.The varieties systematics research of Brzailian herb PICO based on a combined analysis of DNA barcodingoriginmorphology[J].,2015,8(11):1287-1290.[doi:10.3969/j.issn.1674-1749.2015.11.003]
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基于DNA条形码—产地—形态分析联用的巴西草药PICAO(鬼针草)的鉴定()
     
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《环球中医药》[ISSN:1006-6977/CN:61-1281/TN]

卷:
第8卷
期数:
2015年11期
页码:
1287-1290
栏目:
巴西草药研究专题
出版日期:
2015-11-06

文章信息/Info

Title:
The varieties systematics research of Brzailian herb PICO based on a combined analysis of DNA barcodingoriginmorphology
作者:
顾选张晓芹宋晓娜李妍芃韩丽赵百孝刘春生马长华哈略
100102北京中医药大学中药学院(张晓芹、刘春生、宋晓娜、李妍芃、马长华),针灸推拿学院(赵百孝、韩丽、哈略);北京华邈中药工程技术开发中心(顾选)
Author(s):
GU Xuan ZHANG Xiaoqin SONG Xiaona et al.
School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China
关键词:
巴西草药鬼针草DNA条形码生药学
Keywords:
BrazilianPICODNA barcodingPharmacognosy
分类号:
R284
DOI:
10.3969/j.issn.1674-1749.2015.11.003
文献标志码:
A
摘要:
目的对巴西鬼针草药材进行基原鉴定及生药学研究,为药材质量控制和开发应用提供依据。方法提取样品总DNA,扩增ITS基因序列,利用相似度搜索法进行分子鉴定。利用通过DNA条形码—产地—形态分析方法鉴定巴西鬼针草。按照2010版《中华人民共和国药典》(一部)中方法分析样品性状、显微特征。结果DNA条形码—产地—形态分析联用的鉴定方法鉴定巴西鬼针草药材来源于菊科植物鬼针草Bidens pilosa。结论巴西鬼针草药材来源于菊科植物鬼针草Bidens pilosa,生药学特征可以作为药材鉴定的依据。
Abstract:
ObjectiveTo study the origin of Brazilian herbal PICO and do a pharmaceutical research,for providing a basis of quality control and development. MethodsThe source of varieties of Brazilian herb was identified by DNA barcoding technology, extracting DNA, amplifying ITS sequence. Then the result of DNA barcoding was checked by location information and morphological characteristics. Pharmaceutical research was done on the samples. ResultsPICO was identified as Bidens pilosa by DNA barcoding—origin—morphological analysis method. ConclusionBrazil herbs PICO is from Bidens pilosa. Pharmacognosy feature could provide a basis for identification.

参考文献/References:

[1]张延昌,张永明.鬼针草的研究现状与应用前景[J].山东教育学院学报,2004,19(4):7983.
[2]]吴婷妮,余长柱,李荣,等.鬼针草的研究进展[J].安徽医药,2014,(9):16141616.
[3]]顾选,张晓芹,宋晓娜,等.基于DNA条形码-产地-形态联用的药材溯源新方法研究——以黑果枸杞1种伪品为例[J].中国中药杂志,2014,39(24):47594762.
[4]]夏至,高致明,李贺敏,等.鬼针草及其近缘种的分子鉴定和亲缘关系研究[J].中草药,2014,45(6):828834.
[5]]刘圆,王杰,彭镰心,等.民族药鬼针草的生药学鉴定[J].西南民族大学学报(自然科学版),2006,32(3):568571.
[6]]胡伟,陈飞虎,吴繁荣,等.鬼针草药材的生药学鉴定[J].时珍国医国药,2009,20(2):329330.

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更新日期/Last Update: 1900-01-01