Evidence map›Paper›PMID 35241112›Full record

ArticleChinese medicine2022

An integrated study of Violae Herba (Viola philippica) and five adulterants by morphology, chemical compositions and chloroplast genomes: insights into its certified plant origin.

Gengyu Lu, Juanjuan Qiao, Long Wang, Hui Liu, Gang Wu, Yan Zhu, Yucheng Zhao, Guoyong Xie, Minjian Qin

Open access · goldAbstract read
In one paragraph

Article in Chinese medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Complete chloroplast genomes of 11Frontiers in plant science · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Gengyu LuDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Juanjuan QiaoDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Long WangState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Hui LiuYangzhou Center for Food and Drug Control, Yangzhou, 225000, China.
Gang WuState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Yan ZhuDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Yucheng ZhaoDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Guoyong XieDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Minjian QinDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China. minjianqin@163.com.ORCID http://orcid.org/0000-0001-8539-7649
China Pharmaceutical University · CNZheJiang Institute For Food and Drug Control · CN

Funding

Department of Social Security, Ministry of Finance (CN) (2019) 39
6 · The paper itself

Abstract

backgroundViola philippica Cav. is the only original plant for Violae Herba, as described in the Chinese Pharmacopoeia. The quality of this crude drug is affected by several adulterants from congeneric Viola species, and the authentic plant origin of Violae Herba is still controversial. Genome-based identification offers abundant genetic information and potential molecular markers that can be used for the authentication of closely related species. This study aims to investigate the certified origin of Violae Herba and to develop more effective markers for these easily confused species at the genetic level.

methodsWe compared the morphology and chemical composition of 18 batches of commercial samples and six widespread medicinal Viola plants used as Violae Herba or its substitutes by TLC and HPLC-Triple-TOF-MS/MS analyses. The complete chloroplast genomes of these species were sequenced and analyzed, including the general features, repeat sequences, mutational hotspots and phylogeny. The complete chloroplast genomes used as superbarcodes and some specific barcodes screened from mutational hotspots were tested for their ability to distinguish Viola species.

resultsA comparative study showed that Violae Herba is a multi-origin traditional Chinese medicine. Commercial decoction pieces and the standard reference drug were mainly derived from V. prionantha, clashing with the record in the Chinese Pharmacopoeia. Chloroplast genome analyses of V. philippica and five adulterants indicated that sequence divergence was relatively low within Viola species. By tree-based approaches, the complete chloroplast genomes showed a better discrimination ability and phylogenetic resolution for each Viola species. These results indicate that the whole chloroplast genomes can be used as superbarcodes to differentiate Viola medicinal plants. More specific DNA barcodes could be further developed from the Viola chloroplast genomes for more efficient and rapid identification of commercial Violae Herba and its adulterants.

conclusionsThis study has implications for chloroplast genome-based phylogenetic analysis and the authentication of multiple Viola species used as Violae Herba. The legal origin recorded in the Chinese Pharmacopoeia should be further revised to V. prionantha, in line with the commercial Violae Herba in the TCM markets.

Indexed as

Chloroplast genomeHerbgenomicsIntegrated studyPharmacopoeia revisionSuperbarcodesViolaViolae Herba

Identifiers

PMID35241112
PMCPMC8892722
OpenAlexW4214908497

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.