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Metabarcoding and Metagenomics
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
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DNA metabarcoding of diatoms: A next-generation tool for aquatic biodiversity and bioassessment

Authors: Abubaker, Bassam; Stenger-Kovács, Csilla; Rimet, Frederic; Tapolczai, Kálmán;

DNA metabarcoding of diatoms: A next-generation tool for aquatic biodiversity and bioassessment

Abstract

DNA metabarcoding of diatoms is a next-generation biomonitoring tool, utilizing high-throughput sequencing technology for the identification and assessment of diatom biodiversity in aquatic ecosystems. Diatom DNA metabarcoding has been widely recognized as a powerful biomonitoring approach in comparison with the traditional morphological identification, which requires high expertise, is more costly and needs more time. This review provides a comprehensive overview of the methodological development, various applications, and challenges in this rapidly emerging field. A systematic search on the Web of Science database resulted in 128 papers directly related to diatom metabarcoding. Manual data extraction showed that elements of the metabarcoding workflow such as sampling, DNA extraction, PCR amplification, choice of barcode, high-throughput sequencing, and bioinformatic analyses have a direct influence on the results. This review highlights the influence of each workflow step on the reliability of the results. Despite its considerable advantages, this novel approach faces persistent challenges, including incomplete reference libraries, abundance quantification, and the diversity of bioinformatics analyses that can influence the outcomes. Nevertheless, diatom DNA metabarcoding rapidly developed into an efficient tool, fundamentally transforming our understanding of aquatic ecosystems and enhancing global biomonitoring capabilities.

Keywords

metabarcoding, Diatom, environmental DNA, High-Throughput Sequencing (HTS)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Italian National Biodiversity Future Center