NDLI: DNA Metabarcoding for the Characterization of Terrestrial Microbiota—Pitfalls and Solutions

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DNA Metabarcoding for the Characterization of Terrestrial Microbiota—Pitfalls and Solutions

Content Provider	MDPI
Author	Francioli, Davide Lentendu, Guillaume Lewin, Simon Kolb, Steffen
Copyright Year	2021
Description	Soil-borne microbes are major ecological players in terrestrial environments since they cycle organic matter, channel nutrients across trophic levels and influence plant growth and health. Therefore, the identification, taxonomic characterization and determination of the ecological role of members of soil microbial communities have become major topics of interest. The development and continuous improvement of high-throughput sequencing platforms have further stimulated the study of complex microbiota in soils and plants. The most frequently used approach to study microbiota composition, diversity and dynamics is polymerase chain reaction (PCR), amplifying specific taxonomically informative gene markers with the subsequent sequencing of the amplicons. This methodological approach is called DNA metabarcoding. Over the last decade, DNA metabarcoding has rapidly emerged as a powerful and cost-effective method for the description of microbiota in environmental samples. However, this approach involves several processing steps, each of which might introduce significant biases that can considerably compromise the reliability of the metabarcoding output. The aim of this review is to provide state-of-the-art background knowledge needed to make appropriate decisions at each step of a DNA metabarcoding workflow, highlighting crucial steps that, if considered, ensures an accurate and standardized characterization of microbiota in environmental studies.
Starting Page	361
e-ISSN	20762607
DOI	10.3390/microorganisms9020361
Journal	Microorganisms
Issue Number	2
Volume Number	9
Language	English
Publisher	MDPI
Publisher Date	2021-02-12
Access Restriction	Open
Subject Keyword	Microorganisms Microbiology Dna Metabarcoding Workflow High-throughput Sequencing Terrestrial Ecosystem Bacteria Archaea Fungi Protists Soil and Plant-associated Microorganisms
Content Type	Text
Resource Type	Article

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