Evidence map›Paper›PMID 30736447›Full record

ArticleGenes2019

Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products.

Denis O Omelchenko, Anna S Speranskaya, Andrey A Ayginin, Kamil Khafizov, Anastasia A Krinitsina, Anna V Fedotova, Denis V Pozdyshev, Viktoria Y Shtratnikova, Evgenia V Kupriyanova, German A Shipulin and 1 more

Abstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. PLANiTS: a curated sequence reference dataset for plant ITS DNA metabarcoding.Database : the journal of biological databases and curation · 2020
    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

11 authors.

Denis O OmelchenkoSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. omdeno@gmail.com.ORCID 0000-0002-0376-6656
Anna S SperanskayaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. hanna.s.939@gmail.com.ORCID 0000-0001-6326-1249
Andrey A AygininSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. ayginin75@gmail.com.ORCID 0000-0003-0373-1063
Kamil KhafizovSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. kkhafizov@gmail.com.
Anastasia A KrinitsinaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. ankrina@gmail.com.
Anna V FedotovaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. mikrobiomsu@list.ru.
Denis V PozdyshevLomonosov Moscow State University, Leninskie Gory, GSP-1, Moscow 119991, Russia. denispoz@gmail.com.
Viktoria Y ShtratnikovaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. vtosha@yandex.ru.
Evgenia V KupriyanovaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. ekupriyanova@gmail.com.ORCID 0000-0001-8106-5911
German A ShipulinCenter for Strategic Planning, Ministry of Health of the Russian Federation, Pogodinskaya St. 10, build.1, Moscow 119121, Russia. shipgerman@gmail.com.
Maria D LogachevaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, Russia. maria.log@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are widely used for food and beverage preparation, most often in the form of complex mixtures of dried and ground parts, such as teas, spices or herbal medicines. Quality control of such products is important due to the potential health risks from the presence of unlabelled components or absence of claimed ones. A promising approach to analyse such products is DNA metabarcoding due to its high resolution and sensitivity. However, this method's application in food analysis requires several methodology optimizations in DNA extraction, amplification and library preparation. In this study, we present such optimizations. The most important methodological outcomes are the following: 1) the DNA extraction method greatly influences amplification success; 2) the main problem for the application of metabarcoding is DNA purity, not integrity or quantity; and 3) the "non-amplifiable" samples can be amplified with polymerases resistant to inhibitors. Using this optimized workflow, we analysed a broad set of plant products (teas, spices and herbal remedies) using two NGS platforms. The analysis revealed the problem of both the presence of extraneous components and the absence of labelled ones. Notably, for teas, no correlation was found between the price and either the absence of labelled components or presence of unlabelled ones; for spices, a negative correlation was found between the price and presence of unlabelled components.

Indexed as

DNA Barcoding, TaxonomicDNA, PlantFood AnalysisRepetitive Sequences, Nucleic AcidSpicesTeaDNA, PlantTeafood safetyherbal medicinehigh-throughput sequencingITS1metabarcodingspicetea

Identifiers

PMID30736447
PMCPMC6409534

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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.