Literature DB >> 25541315

Molecular identification of antelope horn by melting curve analysis.

Yuru Tong1,2, Chao Jiang1, Yuan Yuan1, Yan Jin1, Zhan-Hu Cui1, Luqi Huang1,2.   

Abstract

Antelope horn is a valuable Chinese traditional medicine and widely used in clinic. However, with the deterioration of antelope's living environment and a lot of killing, the saiga population begins falling and in some places plummet. Since the increasing demand of this expensive and good bioactive medicine, the horn of artiodactyla animals is often used as the antelope horn. The adulterated or impostor not only cause damage to clinical medicine but also affect the antelope resources protection and sustainable development. Here, in order to establish a melting curve analysis (MCA) method to distinguish the antelope horn from other animal horns and identify the decoction pieces and Chinese patent medicine in a fast and easy way, animal horns and its decoction pieces, Chinese patent medicines were collected from the market and the DNA of all the collected samples were extracted. The melting curve of two universal fragments (COI and Cyt b) was scanned and Cyt b was selected as feasibility fragment for identifying authentic antelope horn from eight adulterant animal horns. After optimizing the condition for MCA, inspecting the precision and the replication of the method, a reference melting curve modern was established and we performed MCA on the antelope horns, fakes, and adulterants on a 1:1 mix, decoction pieces, and Chinese patent medicine. Thus, this study provides fast and easy methods so that MCA can detect the truth, fakes, and adulterations of antelope horns.

Entities:  

Keywords:  Antelope horn; Cyt b; identification; melting curve analysis

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Year:  2014        PMID: 25541315     DOI: 10.3109/19401736.2014.989500

Source DB:  PubMed          Journal:  Mitochondrial DNA A DNA Mapp Seq Anal        ISSN: 2470-1394            Impact factor:   1.514


  2 in total

1.  Fluorescence Visual Detection of Herbal Product Substitutions at Terminal Herbal Markets by CCP-based FRET technique.

Authors:  Chao Jiang; Yuan Yuan; Guang Yang; Yan Jin; Libing Liu; Yuyang Zhao; Luqi Huang
Journal:  Sci Rep       Date:  2016-10-21       Impact factor: 4.379

2.  Rapid and high throughput molecular identification of diverse mosquito species by high resolution melting analysis.

Authors:  Yvonne Ukamaka Ajamma; Enock Mararo; David Omondi; Thomas Onchuru; Anne W T Muigai; Daniel Masiga; Jandouwe Villinger
Journal:  F1000Res       Date:  2016-08-11
  2 in total

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