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

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 abse...

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Main Authors: 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, Maria D. Logacheva
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Genes
Subjects:
tea
Online Access:https://www.mdpi.com/2073-4425/10/2/122
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spelling doaj-63f56862b6434e389ca46f37e6b3bf0a2020-11-25T01:59:03ZengMDPI AGGenes2073-44252019-02-0110212210.3390/genes10020122genes10020122Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing ProductsDenis O. Omelchenko0Anna S. Speranskaya1Andrey A. Ayginin2Kamil Khafizov3Anastasia A. Krinitsina4Anna V. Fedotova5Denis V. Pozdyshev6Viktoria Y. Shtratnikova7Evgenia V. Kupriyanova8German A. Shipulin9Maria D. Logacheva10Skolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaFaculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Leninskie Gory, GSP-1, Moscow 119991, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaCenter for Strategic Planning, Ministry of Health of the Russian Federation, Pogodinskaya St. 10, build.1, Moscow 119121, RussiaSkolkovo Institute of Science and Technology, Nobel St. 3, Moscow 143026, RussiaPlants 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.https://www.mdpi.com/2073-4425/10/2/122metabarcodingITS1high-throughput sequencingfood safetyherbal medicineteaspice
collection DOAJ
language English
format Article
sources DOAJ
author 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
Maria D. Logacheva
spellingShingle 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
Maria D. Logacheva
Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products
Genes
metabarcoding
ITS1
high-throughput sequencing
food safety
herbal medicine
tea
spice
author_facet 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
Maria D. Logacheva
author_sort Denis O. Omelchenko
title Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products
title_short Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products
title_full Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products
title_fullStr Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products
title_full_unstemmed Improved Protocols of ITS1-Based Metabarcoding and Their Application in the Analysis of Plant-Containing Products
title_sort improved protocols of its1-based metabarcoding and their application in the analysis of plant-containing products
publisher MDPI AG
series Genes
issn 2073-4425
publishDate 2019-02-01
description 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.
topic metabarcoding
ITS1
high-throughput sequencing
food safety
herbal medicine
tea
spice
url https://www.mdpi.com/2073-4425/10/2/122
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