2014
DOI: 10.1111/1755-0998.12296
|View full text |Cite
|
Sign up to set email alerts
|

Identification of species and materia medica within Angelica L. (Umbelliferae) based on phylogeny inferred from DNA barcodes

Abstract: DNA barcodes have been increasingly used in authentication of medicinal plants, while their wide application in materia medica is limited in their accuracy due to incomplete sampling of species and absence of identification for materia medica. In this study, 95 leaf accessions of 23 species (including one variety) and materia medica of three Pharmacopoeia-recorded species of Angelica in China were collected to evaluate the effectiveness of four DNA barcodes (rbcL, matK, trnH-psbA and ITS). Our results showed t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
31
0
1

Year Published

2015
2015
2024
2024

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 37 publications
(36 citation statements)
references
References 48 publications
4
31
0
1
Order By: Relevance
“…The resolution level obtained in this study is equivalent to the average level (67.2%) observed in a large dataset of 5,583 samples representing 1,349 species in 141 genera . Compared with the species resolution obtained with ITS for other large genera, such as Rhododendron (12.2%, 15.3%), Angelica (73.9%), Pedicularis (86.2%), and Primula (88.2%) Yan et al, 2014;Yuan et al, 2015), that obtained in this study corresponds to a medium level of identification efficiency.…”
Section: Evaluation Of Dna Barcodes For Corydalismentioning
confidence: 43%
See 2 more Smart Citations
“…The resolution level obtained in this study is equivalent to the average level (67.2%) observed in a large dataset of 5,583 samples representing 1,349 species in 141 genera . Compared with the species resolution obtained with ITS for other large genera, such as Rhododendron (12.2%, 15.3%), Angelica (73.9%), Pedicularis (86.2%), and Primula (88.2%) Yan et al, 2014;Yuan et al, 2015), that obtained in this study corresponds to a medium level of identification efficiency.…”
Section: Evaluation Of Dna Barcodes For Corydalismentioning
confidence: 43%
“…For the tree‐based methods, three different phylogenetic trees, namely, neighbor‐joining (NJ) tree, maximum parsimony (MP) tree, and maximum likelihood (ML) tree, were evaluated to select the most suitable tree. The three trees were constructed with MEGA6.06 according to published protocols for species‐level discrimination within closely related groups (Liu et al, ; Tamura, Dudley, Nei, & Kumar, ; Yuan et al, ). Species discrimination was considered successful if all conspecific individuals formed a single clade.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…DNA barcoding, using a standardized DNA fragment to identify taxon, has shown promise in providing a practical, standardized, species-level identification tool for biodiversity assessments, life history and ecological studies, and forensic analyses, and this technique has been widely applied since its first appearance in 2003 (Hebert et al 2003;Kress et al 2005;Valentini et al 2009;Liu et al 2014;Chen et al 2015;Xu et al 2015b;Yuan et al 2015). Ideally, the barcode locus would be the same for all kingdoms (Schoch et al 2012); nevertheless, finding a robust and effective barcode for kingdom Plantae has proved to be quite challenging.…”
Section: Introductionmentioning
confidence: 99%
“…Musa acuminate Colla and M. balbisiana Impact Factor (JCC): 6.1964 NAAS Rating: 3.11 et al, 2016). ITS is widely used in plant molecular systematic studies at the generic and species levels as it has the potential to generate a high resolution of inter-and intraspecific relationships (Baldwin et al, 1995;Keller et al, 2010;Buchheim et al, 2011;Yuan et al, 2015). In spite of the merits of ITS, it has a major drawback of universality and specificity of PCR primers for the ITS region which causes difficulty in amplification and sequencing (Cheng et al, 2016).…”
Section: Introductionmentioning
confidence: 99%