Evidence map›Paper›PMID 37399206›Full record

ArticlePloS one2023

Validation of the shotgun metabarcoding approach for comprehensively identifying herbal products containing plant, fungal, and animal ingredients.

Zhaolei Zhang, Weishan Mu, Weijun Kong, Jiali Liu, Jingyi Zhao, Qing Zhao, Mengmeng Shi, Hongye Zhao, Jinxin Liu, Linchun Shi

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Zhaolei ZhangHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.
Weishan MuHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.
Weijun KongInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jiali LiuInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jingyi ZhaoHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.
Qing ZhaoHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.
Mengmeng ShiHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.
Hongye ZhaoHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.
Jinxin LiuHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.ORCID 0000-0002-1725-2293
Linchun ShiHebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying plant, fungal, and animal ingredients in a specific mixture remains challenging during the limitation of PCR amplification and low specificity of traditional methods. Genomic DNA was extracted from mock and pharmaceutical samples. Four type of DNA barcodes were generated from shotgun sequencing dataset with the help of a local bioinformatic pipeline. Taxa of each barcode was assigned by blast to TCM-BOL, BOLD, and GenBank. Traditional methods including microscopy, thin layer chromatography (TLC), and high-performance liquid chromatography (HPLC) were carried out according to Chinese pharmacopoeia. On average, 6.8 Gb shotgun reads were sequenced from genomic DNA of each sample. Then, 97, 11, 10, 14, and one operational taxonomic unit (OTU) were generated for ITS2, psbA-trnH, rbcL, matK, and COI, respectively. All the labeled ingredients including eight plant, one fungal, and one animal species were successfully detected in both the mock and pharmaceutical samples, in which Chebulae Fructus, Poria, and Fritilariae Thunbergia Bulbus were identified via mapping reads to organelle genomes. In addition, four unlabeled plant species were detected from pharmaceutical samples, while 30 genera of fungi, such as Schwanniomyces, Diaporthe, Fusarium were detected from mock and pharmaceutical samples. Furthermore, the microscopic, TLC, and HPLC analysis were all in accordance with the standards stipulated by Chinese Pharmacopoeia. This study indicated that shotgun metabarcoding could simultaneously identified plant, fungal, and animal ingredients in herbal products, which has the ability to serve as a valuable complement to traditional methods.

Indexed as

DNA Barcoding, TaxonomicPlantsAnimalsDNA, PlantPlant ExtractsTerminaliachebulae fruitDNA, PlantPlant Extracts

Identifiers

PMID37399206
PMCPMC10317219

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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.