A simple method for testing and controlling inhibition in soil and sediment samples for qPCR.


Journal

Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883

Informations de publication

Date de publication:
09 2023
Historique:
received: 30 05 2023
revised: 20 07 2023
accepted: 02 08 2023
medline: 11 9 2023
pubmed: 5 8 2023
entrez: 4 8 2023
Statut: ppublish

Résumé

The presence of polymerase-chain-reaction (PCR) inhibitors in many environmental samples can make reliable and repeatable quantitative-polymerase-chain-reaction (qPCR) analysis difficult without sample dilution. To estimate an optimal sample dilution for qPCR and reduce effects of inhibition, a simple test based on multiple dilution series of samples is presented that avoids the use of internal controls and standards reducing complexity and cost.

Identifiants

pubmed: 37541445
pii: S0167-7012(23)00129-X
doi: 10.1016/j.mimet.2023.106795
pii:
doi:

Substances chimiques

Soil 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

106795

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
Pays : United Kingdom

Informations de copyright

Copyright © 2023 © 2023 British Geological Survey (UKRI) and University of Nottingham. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Tom Bott (T)

British Geological Survey, Keyworth, Nottingham NG12 5GG, UK; School of Biosciences, Sutton Bonington, University of Nottingham, Loughborough LE12 5RD, UK. Electronic address: tom.bott@nottingham.ac.uk.

George Shaw (G)

School of Biosciences, Sutton Bonington, University of Nottingham, Loughborough LE12 5RD, UK.

Simon Gregory (S)

British Geological Survey, Keyworth, Nottingham NG12 5GG, UK. Electronic address: simongr@bgs.ac.uk.

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Classifications MeSH