Evaluation of an Adapted Semi-Automated DNA Extraction for Human Salivary Shotgun Metagenomics.


Journal

Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414

Informations de publication

Date de publication:
11 10 2023
Historique:
received: 29 08 2023
revised: 29 09 2023
accepted: 05 10 2023
medline: 30 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

Recent attention has highlighted the importance of oral microbiota in human health and disease, e.g., in Parkinson's disease, notably using shotgun metagenomics. One key aspect for efficient shotgun metagenomic analysis relies on optimal microbial sampling and DNA extraction, generally implementing commercial solutions developed to improve sample collection and preservation, and provide high DNA quality and quantity for downstream analysis. As metagenomic studies are today performed on a large number of samples, the next evolution to increase study throughput is with DNA extraction automation. In this study, we proposed a semi-automated DNA extraction protocol for human salivary samples collected with a commercial kit, and compared the outcomes with the DNA extraction recommended by the manufacturer. While similar DNA yields were observed between the protocols, our semi-automated DNA protocol generated significantly higher DNA fragment sizes. Moreover, we showed that the oral microbiome composition was equivalent between DNA extraction methods, even at the species level. This study demonstrates that our semi-automated protocol is suitable for shotgun metagenomic analysis, while allowing for improved sample treatment logistics with reduced technical variability and without compromising the structure of the oral microbiome.

Identifiants

pubmed: 37892187
pii: biom13101505
doi: 10.3390/biom13101505
pmc: PMC10604855
pii:
doi:

Substances chimiques

RNA, Ribosomal, 16S 0
DNA 9007-49-2

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Victoria Meslier (V)

MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Elisa Menozzi (E)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London (UCL), London WC1E 6BT, UK.

Aymeric David (A)

MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Christian Morabito (C)

MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Sara Lucas Del Pozo (S)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London (UCL), London WC1E 6BT, UK.

Alexandre Famechon (A)

MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Janet North (J)

Research Department of Hematology, Cancer Institute, University College London (UCL), London WC1E 6BT, UK.

Benoit Quinquis (B)

MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Sofia Koletsi (S)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London (UCL), London WC1E 6BT, UK.

Jane Macnaughtan (J)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Liver Failure Group, Institute for Liver and Digestive Health, University College London, London WC1E 6BT, UK.

Roxana Mezabrovschi (R)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London (UCL), London WC1E 6BT, UK.

S Dusko Ehrlich (SD)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London (UCL), London WC1E 6BT, UK.

Anthony H V Schapira (AHV)

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London (UCL), London WC1E 6BT, UK.

Mathieu Almeida (M)

MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

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Classifications MeSH