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[1]高晨曦 郭义红 孙威江** 陈志丹**.基于DNA条形码和代谢组学技术的闽南乌龙茶产品鉴别[J].应用与环境生物学报,2021,27(04):1-12.[doi:10.19675/j.cnki.1006-687x.2020.08029]
 GAO Chenxi,GUO Yihong,SUN Weijiang*,et al.Identification of oolong tea in southern Fujian based on DNA barcoding and metabonomics[J].Chinese Journal of Applied & Environmental Biology,2021,27(04):1-12.[doi:10.19675/j.cnki.1006-687x.2020.08029]
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基于DNA条形码和代谢组学技术的闽南乌龙茶产品鉴别()
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《应用与环境生物学报》[ISSN:1006-687X/CN:51-1482/Q]

卷:
27卷
期数:
2021年04期
页码:
1-12
栏目:
研究论文
出版日期:
2021-08-25

文章信息/Info

Title:
Identification of oolong tea in southern Fujian based on DNA barcoding and metabonomics
作者:
高晨曦124 郭义红1245 孙威江124** 陈志丹234**
1福建农林大学园艺学院 福州 350002
2安溪县现代农业产业协同创新中心 泉州 362400
3福建农林大学安溪茶学院 泉州 362400
4福建省茶叶工程技术研究中心 福州 350002
5莆田市涵江区三江口镇人民政府 莆田 351100
Author(s):
GAO Chenxi124 GUO Yihong1245 SUN Weijiang1234* CHEN Zhidan 1234
1 College of Horticulture, Fujian Agriculture and Forestry University , Fuzhou 350002, China
2 Collaborative Innovation Center of Modern Agriculture Industrial Park of Anxi County , Quanzhou 362400, China
3 College of Tea, Fujian Agriculture and Forestry University , Quanzhou 362400, China
4 Engineering Technology and Research Center of Fujian Tea Industry , Fuzhou 350002, China
5 The People’s Government of Sanjiangkou Town in Hanjiang District, Putian 351100, China
关键词:
闽南乌龙茶DNA条形码代谢组学鉴别
Keywords:
oolong tea DNA barcoding metabonomics identification
DOI:
10.19675/j.cnki.1006-687x.2020.08029
摘要:
为探究DNA条形码与代谢组学技术对于不同乌龙茶产品的鉴定效果,以18份不同茶树品种加工的闽南乌龙茶产品为供试材料,对8条DNA序列片段扩增、测序,分析计算其遗传距离并构建系统进化树;利用UPLC-ESI-QTOF-MS技术对不同品种闽南乌龙茶产品进行了非靶向代谢组分析;并计算样品的遗传-化学相关性。结果显示:trnL-trnF+ITS2扩增成功率及测序成功率均达到100%,具有较高的鉴定效率,将其作为鉴定样品的最适序列组合;筛选出闽南乌龙茶产品中9个最关键的差异代谢物,进一步分析发现,金观音、铁观音、本山、水仙,以及大叶乌龙、毛蟹、佛手、黄旦具有较为相似的代谢成份,并有效区分了不同品种的闽南乌龙茶产品,可为不同品种闽南乌龙茶产品的鉴别提供理论依据;通过遗传-化学相关性分析发现,trnL-trnF序列的遗传距离与差异代谢物间的相关性较高。本研究以trnL-trnF+ITS2序列组合和代谢组学相结合的遗传-化学研究方法对闽南地区部分代表性乌龙茶产品进行了快速、准确的鉴定,使得茶叶品种的识别实现标准化和信息化,为现有的茶叶识别技术开辟了一条新途径。
Abstract:
In order to explore the identification effect of DNA barcoding and metabonomics techniques to different Oolong tea products, this study took 18 oolong tea products in Minnan processed by different tea plants as selected materials to amplify and analyze the DNA sequence, and then analyzed and calculated its genetic distance, constructed the phylogenetic tree; UPLC-ESI-QTOF-MS technology was applied to different types of oolong tea products in Minnan for an untargeted metabolome analysis; and then the genetic-chemical correlation of the sample was calculated. The result shows that, the amplification success rate and the sequencing success rate of the UPLC-ESI-QTOF-MS technology can reach to 100%, which had a relative high identification efficiency and can be regarded as the most optimal sequence combination for identifying the samples. In this study, nine key different metabolites were selected from oolong tea products in Minnan, through further analysis, there were more similar metabolic components in Jinguanyin, Tieguanyin, Benshan, Shuixian, as well as Daye Oolong, Maoxie, Foshou, Huangdan, and this effectively distinguished different various of Oolong tea products in Minnan, which could provide a theoretical basis for the identification of different varieties of oolong tea products. With analyzing the genetic-chemical correlation, the genetic distance of trnL-trnF sequence had a relative high correlation with different metabolites. With the genetic-chemical research method combined trnL-trnF sequence and metabonomics techniques, this study can identify part of the representative oolong tea products in Minnan accurately and rapidly, which can realize standardization and informationization for tea types and open a new way for existing tea identification.

相似文献/References:

[1]范京安,顾海丰,陈世界,等.DNA条形码识别 Ⅵ:基于微型DNA条形码的果实蝇物种鉴定[J].应用与环境生物学报,2009,15(02):215.[doi:10.3724/SP.J.1145.2009.00215]
 FAN Jingan**,GU Haifeng**,CHEN Shijie,et al.Species Identification of 36 Kinds of Fruit Flies Based on Minimalist-barcode[J].Chinese Journal of Applied & Environmental Biology,2009,15(04):215.[doi:10.3724/SP.J.1145.2009.00215]

备注/Memo

备注/Memo:
收稿日期 Received: 2020-08-19 接受日期 Accepted: 2020-09-18
国家重点研发计划专项课题(2019YFD1001601)和福建农林大学“双一流”建设科技创新能力提升培育计划项目(KSYLC005)
**通讯作者 Corresponding author (E-mail: swj8103@126.com; asbulletdan@163.com)
引用本文请注明出处本刊;发表刊期和页码将以正式出版时的安排为准,但DOI确定不变。
更新日期/Last Update: 2020-10-05