Evidence map›Paper›PMID 30021015›Full record

ArticlePloS one2018

DNA barcoding for the efficient and accurate identification of medicinal polygonati rhizoma in China.

Jie Jiao, Wenli Huang, Zhenqing Bai, Feng Liu, Cunde Ma, Zongsuo Liang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed, 40 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Jie JiaoCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, China.
Wenli HuangCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Zhenqing BaiCollege of Life Science, Yan'an University, Yan'an, Shaanxi, China.
Feng LiuResearch Department, Buchang Pharma, Xi'an, Shaanxi, China.
Cunde MaResearch Department, Buchang Pharma, Xi'an, Shaanxi, China.
Zongsuo LiangCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, China.ORCID 0000-0001-9597-3443
Buchang Pharma (China) · CNNorthwest A&F University · CNShaanxi University of Chinese Medicine · CNYan'an University · CNZhejiang Sci-Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polygonati rhizoma (PR), a traditional medicinal and edible product with various bioactive components (Polygonatum polysaccharides, saponins, phenols, and flavonoids), is widely consumed in China. However, other species with morphological characteristics similar to those of the actual components are being used to replace or adulterate PR, causing issues with quality control and product safety. The morphological similarity of PR and its substitutes makes classic morphological identification challenging. To address this issue, DNA barcoding-based identification using ITS2 and psbA-trnH sequences was applied in this study to evaluate the efficiency and accuracy of this approach in identifying PR samples collected from 39 different regions in China. The identification of PR by this method was confirmed by other methods (phylogeny-based and character-based methods), and all the samples were clearly and accurately distinguished. This study highlights the efficient and accurate nature of DNA barcoding in PR identification. Applying this technique will provide a means to differentiate PR from other altered formulations, thus improving product quality and safety for consumers of PR and its products.

Indexed as

DNA Barcoding, TaxonomicChinaPhylogenyPolygonatumRhizome

Identifiers

PMID30021015
PMCPMC6051646
OpenAlexW2883513264

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.