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基于阵列的中药材鉴定技术。

Array-based techniques for fingerprinting medicinal herbs.

机构信息

School of Applied Sciences, Health Innovations Research Institute, RMIT University, Melbourne, Victoria 3000, Australia.

Division of Chinese Medicine, School of Health Sciences, Health Innovations Research Institute, RMIT University, Melbourne, Victoria 3000, Australia.

出版信息

Chin Med. 2011 May 18;6(1):18. doi: 10.1186/1749-8546-6-18.

DOI:10.1186/1749-8546-6-18
PMID:21592323
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3121662/
Abstract

Poor quality control of medicinal herbs has led to instances of toxicity, poisoning and even deaths. The fundamental step in quality control of herbal medicine is accurate identification of herbs. Array-based techniques have recently been adapted to authenticate or identify herbal plants. This article reviews the current array-based techniques, eg oligonucleotides microarrays, gene-based probe microarrays, Suppression Subtractive Hybridization (SSH)-based arrays, Diversity Array Technology (DArT) and Subtracted Diversity Array (SDA). We further compare these techniques according to important parameters such as markers, polymorphism rates, restriction enzymes and sample type. The applicability of the array-based methods for fingerprinting depends on the availability of genomics and genetics of the species to be fingerprinted. For the species with few genome sequence information but high polymorphism rates, SDA techniques are particularly recommended because they require less labour and lower material cost.

摘要

草药质量控制不佳导致了中毒、中毒甚至死亡的情况。草药质量控制的基本步骤是准确识别草药。基于阵列的技术最近已被改编用于验证或识别草药植物。本文综述了基于阵列的当前技术,例如寡核苷酸微阵列、基于基因的探针微阵列、抑制性消减杂交 (SSH)-基于阵列、多样性阵列技术 (DArT) 和消减多样性阵列 (SDA)。我们根据标记物、多态性率、限制酶和样品类型等重要参数进一步比较这些技术。基于阵列的方法在指纹分析中的适用性取决于待分析物种的基因组学和遗传学的可用性。对于基因组序列信息较少但多态性率较高的物种,特别推荐使用 SDA 技术,因为它们需要较少的劳动力和较低的材料成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/f2decce23695/1749-8546-6-18-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/05289c39d7b0/1749-8546-6-18-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/b249ca6aab62/1749-8546-6-18-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/aed2bf011b59/1749-8546-6-18-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/f2decce23695/1749-8546-6-18-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/05289c39d7b0/1749-8546-6-18-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/b249ca6aab62/1749-8546-6-18-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/aed2bf011b59/1749-8546-6-18-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7e4/3121662/f2decce23695/1749-8546-6-18-4.jpg

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