Evaluation of DNA barcoding efficiency of cpDNA barcodes in selected Philippine Leea L. (Vitaceae)

Vincent Louie D. Cabelin, P. J. Santor, G. D. Alejandro
{"title":"Evaluation of DNA barcoding efficiency of cpDNA barcodes in selected Philippine Leea L. (Vitaceae)","authors":"Vincent Louie D. Cabelin, P. J. Santor, G. D. Alejandro","doi":"10.1080/12538078.2015.1092393","DOIUrl":null,"url":null,"abstract":"Abstract The genus Leea L. includes some species that are known to have ethnomedicinal properties. They have been used as cures against common ailments such as skin infections and arthritis. To augment the morphological identification of this taxon, four candidate chloroplast DNA barcodes (matK, rbcL, trnH-psbA and trnL-F) were tested for their efficiency as single-locus barcodes for four Leea species. Genomic DNA from silica-dried leaf samples were isolated and used as template for generating DNA barcodes. Pairwise sequence divergence using the Kimura two-parameter model was used to analyse interspecific and intraspecific variations among the barcodes whereas BLAST and neighbour-joining analyses were employed to examine discrimination success. The results show that matK is the most efficient single-locus barcode for Leea by yielding the highest rate of universality as well as the best discriminatory and authentication power among the barcodes examined.","PeriodicalId":7129,"journal":{"name":"Acta Botanica Gallica","volume":"162 1","pages":"317 - 324"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/12538078.2015.1092393","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Botanica Gallica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/12538078.2015.1092393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Abstract The genus Leea L. includes some species that are known to have ethnomedicinal properties. They have been used as cures against common ailments such as skin infections and arthritis. To augment the morphological identification of this taxon, four candidate chloroplast DNA barcodes (matK, rbcL, trnH-psbA and trnL-F) were tested for their efficiency as single-locus barcodes for four Leea species. Genomic DNA from silica-dried leaf samples were isolated and used as template for generating DNA barcodes. Pairwise sequence divergence using the Kimura two-parameter model was used to analyse interspecific and intraspecific variations among the barcodes whereas BLAST and neighbour-joining analyses were employed to examine discrimination success. The results show that matK is the most efficient single-locus barcode for Leea by yielding the highest rate of universality as well as the best discriminatory and authentication power among the barcodes examined.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
菲律宾荔枝科植物cpDNA条形码的DNA条形码效率评价
Leea L.属包括一些已知具有民族药用特性的物种。它们被用来治疗皮肤感染和关节炎等常见疾病。为了加强对该分类群的形态学鉴定,对4种Leea属植物的4个候选叶绿体DNA条形码(matK、rbcL、trnH-psbA和trnL-F)进行了单位点条形码检测。从硅干叶片样品中分离基因组DNA,并将其作为生成DNA条形码的模板。使用Kimura双参数模型的成对序列发散分析了条形码之间的种间和种内变化,而使用BLAST和邻居连接分析来检查识别成功。结果表明,在检测的条形码中,matK具有最高的通用性和最佳的鉴别和认证能力,是最有效的Leea单位点条形码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Evaluating and Tracking Qualitative Content Coder Performance Using Item Response Theory. Distribution, morphology and habitats of Elatine triandra (Elatinaceae) in Europe, with particular reference to the central part of the continent Germination requirements of nine European Aegilops species in relation to constant and alternating temperatures Taxonomy and conservation of Pancratium maritimum (Amaryllidaceae) and relatives in the Central Mediterranean Contribution to the flora of Asian and European countries: new national and regional vascular plant records, 4
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1