首页 | 本学科首页   官方微博 | 高级检索  
     

贝母属植物叶绿体基因组候选SNP位点应用分析
引用本文:兰青阔,赵新,陈锐,王成,陈笑芸,汪小福,王永,兰璞. 贝母属植物叶绿体基因组候选SNP位点应用分析[J]. 分子植物育种, 2020, 0(1): 231-237
作者姓名:兰青阔  赵新  陈锐  王成  陈笑芸  汪小福  王永  兰璞
作者单位:天津市农业质量标准与检测技术研究所;浙江省农业科学院农产品质量标准研究所
基金项目:科技部国际合作项目农产品质量安全分子检测技术研究(2006DFA32380);天津市科技计划项目中药质量现状评价与标准研究(05SYSYGX25000)共同资助
摘    要:贝母属植物是中国中药材的宝库,由于形态上难以区分,在民间应用、临床应用和中药市场中还存在混淆应用、以次充好的现象,急需开发基于新型分子标记位点的精准检测方法。本研究应用多重序列比对、SNP筛选等生物信息学分析手段,对贝母属15种植物28条叶绿体基因组序列进行分析。结果发现,贝母属叶绿体基因组DNA同源性达97.22%,通过分析共发现SNP位点5879个,其中川贝母类鉴别候选位点71个,川贝母鉴别候选位点4个,瓦布贝母鉴别候选位点37个,太白贝母鉴别候选位点147个,浙贝母鉴别候选位点91个,湖北贝母鉴别候选位点271个,平贝母鉴别候选位点1393个,伊贝母鉴别候选位点89个。本研究还对SNP位点在精准鉴定、精确定量应用方面进行了讨论,可为川贝母中药资源鉴定提供技术支撑。

关 键 词:贝母属  叶绿体基因组  SNP位点  生物信息学分析  检测方法

Candidate SNP Application Analysis of Chloroplast Genome of Fritillaria
Lan Qingkuo,Zhao Xin,Chen Rui,Wang Cheng,Chen Xiaoyun,Wang Xiaofu,Wang Yong,Lan Pu. Candidate SNP Application Analysis of Chloroplast Genome of Fritillaria[J]. Molecular Plant Breeding, 2020, 0(1): 231-237
Authors:Lan Qingkuo  Zhao Xin  Chen Rui  Wang Cheng  Chen Xiaoyun  Wang Xiaofu  Wang Yong  Lan Pu
Affiliation:(Tianjin Institute of Agricultural Quality Standard and Testing Technology,Tianjin,300381;The Insti tute of Quality Standards for Agricultural Products,Zhejiang Academy of Agricultural Sciences,Hangzhou,310021)
Abstract:Fritillaria is a important source of traditional Chinese medicinal material,but there are also terrible situation of shoddy and confusing application in trading market and clinical application.The precise qualitative and quantitative detection methods based specific and new type of molecular markers,are urgently needed to distinguish species of Fritillaria.In this study,bioinformatics analysis methods such as multiple sequence alignment,SNP screening,are used to analyze 28 chloroplast genome sequences of the 15 botany of Fritillaria L.Results show that the identity of 28 Fritillaria chloroplast genome DNA is 97.22%,and 5879 SNPs were found.We analyzed the species specific SNP further by comparing the allelism,and 71,4,37,147,91,271,1393 and 89’flag-site’were screened out for Fritillariae cirrhosae,F.cirrhosa D.Don,Fritillaria unibracteata var.wabuensis,Fritillaria taipaiensis,Fritillaria thunbergii,Fritillaria hupehensis,and Fritillaria ussuriensis,and Fritillariae pallidiflorae respectively.Moreover,the HRM-based,pyrosequencing-based,and KASP-dPCR-based solution were discussed in SNP detection.This study provided technical support for the identification of traditional Chinese medicine resources.
Keywords:Fritillaria  Chloroplast genome  SNP site  Bioinformatics analysis  Detection method
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号