DNA extraction and amplicon production strategies deeply inf luence the outcome of gut mycobiome studies.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
27 06 2019
Historique:
received: 04 11 2018
accepted: 28 05 2019
entrez: 29 6 2019
pubmed: 30 6 2019
medline: 27 10 2020
Statut: epublish

Résumé

Microbial ecology studies are often performed through extraction of metagenomic DNA followed by amplification and sequencing of a marker. It is known that each step may bias the results. These biases have been explored for the study of bacterial communities, but rarely for fungi. Our aim was therefore to evaluate methods for the study of the gut mycobiome. We first evaluated DNA extraction methods in fungal cultures relevant to the gut. Afterwards, to assess how these methods would behave with an actual sample, stool from a donor was spiked with cells from the same cultures. We found that different extraction kits favour some species and bias against others. In terms of amplicon sequencing, we evaluated five primer sets, two for ITS2 and one for ITS1, 18S and 28S rRNA. Results showed that 18S rRNA outperformed the other markers: it was able to amplify all the species in the mock community and to discriminate among them. ITS primers showed both amplification and sequencing biases, the latter related to the variable length of the product. We identified several biases in the characterisation of the gut mycobiome and showed how crucial it is to be aware of these before drawing conclusions from the results of these studies.

Identifiants

pubmed: 31249384
doi: 10.1038/s41598-019-44974-x
pii: 10.1038/s41598-019-44974-x
pmc: PMC6597572
doi:

Substances chimiques

DNA Primers 0
DNA, Fungal 0
RNA, Ribosomal, 18S 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9328

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Auteurs

Alessandra Frau (A)

Gastroenterology Research Unit, Department of Cellular & Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Ashton Street, Liverpool, L69 3GE, UK.

John G Kenny (JG)

Centre for Genomic Research (CGR), University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.
Teagasc Food Research Centre, Moorepark, Cork, Ireland.

Luca Lenzi (L)

Centre for Genomic Research (CGR), University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.

Barry J Campbell (BJ)

Gastroenterology Research Unit, Department of Cellular & Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Ashton Street, Liverpool, L69 3GE, UK.

Umer Z Ijaz (UZ)

School of Engineering, University of Glasgow, Oakfield Avenue, Glasgow, G12 8LT, UK.

Carrie A Duckworth (CA)

Gastroenterology Research Unit, Department of Cellular & Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Ashton Street, Liverpool, L69 3GE, UK.

Michael D Burkitt (MD)

Gastroenterology Research Unit, Department of Cellular & Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Ashton Street, Liverpool, L69 3GE, UK.
Division of Diabetes, Endocrinology and Gastroenterology, University of Manchester, Dover Street, Manchester, M13 9PT, UK.

Neil Hall (N)

Earlham Institute, Colney Ln, Norwich, NR4 7UZ, UK.

Jim Anson (J)

Liverpool Clinical Laboratories Directorate of Infection and Immunity, Royal Liverpool and Broadgreen University Hospitals NHS Trust, Prescot Street, Liverpool, L7 8XP, UK.

Alistair C Darby (AC)

Centre for Genomic Research (CGR), University of Liverpool, Crown Street, Liverpool, L69 7ZB, UK.

Christopher S J Probert (CSJ)

Gastroenterology Research Unit, Department of Cellular & Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Ashton Street, Liverpool, L69 3GE, UK. mdcsjp@liverpool.ac.uk.

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Classifications MeSH