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Comparative analysis of Illumina and Ion Torrent high-throughput sequencing platforms for identification of plant components in herbal teas

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dc.contributor.author Speranskaya A.
dc.contributor.author Khafizov K.
dc.contributor.author Ayginin A.
dc.contributor.author Krinitsina A.
dc.contributor.author Omelchenko D.
dc.contributor.author Nilova M.
dc.contributor.author Severova E.
dc.contributor.author Samokhina E.
dc.contributor.author Shipulin G.
dc.contributor.author Logacheva M.
dc.date.accessioned 2019-01-22T20:38:57Z
dc.date.available 2019-01-22T20:38:57Z
dc.date.issued 2018
dc.identifier.issn 0956-7135
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/148123
dc.description.abstract © 2018 Elsevier Ltd The rapid development of high-throughput sequencing (HTS) methods offers new opportunities for food quality control and identification of food components using the DNA barcoding approach (metabarcoding in cases of complex mixes). However, the protocols of DNA barcoding applied to food analysis are not yet fully established; testing and optimization are required to achieve the highest accuracy and cost efficiency. We report here a comparative study of the two most widely used sequencing platforms - Illumina and Ion Torrent - for composition analysis of herbal teas, and show that both technologies yield congruent results, both qualitatively and quantitatively. They have revealed the substitution of fireweed (Epilobium angustifolium L.) by Lythrum sp. in one of the samples. It was confirmed by classic methods of botanical analysis (anatomy and palynology). In most samples, undeclared components have been detected, such as bindweed (Convolvulus) and ragweed (Ambrosia), which are known toxic and allergy-causing plants.
dc.relation.ispartofseries Food Control
dc.subject Food quality control
dc.subject Food safety
dc.subject Herbal tea
dc.subject High-throughput sequencing
dc.subject Lythrum
dc.subject Metabarcoding
dc.title Comparative analysis of Illumina and Ion Torrent high-throughput sequencing platforms for identification of plant components in herbal teas
dc.type Article
dc.relation.ispartofseries-volume 93
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 315
dc.source.id SCOPUS09567135-2018-93-SID85053165161


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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