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Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria

The detection of volatile organic compounds (VOC) emitted by pathogenic bacteria has been proposed as a potential non-invasive approach for characterising various infectious diseases as well as wound infections. Studying microbial VOC profiles in vitro allows the mechanisms governing VOC production...

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Autores principales: Fitzgerald, Shane, Duffy, Emer, Holland, Linda, Morrin, Aoife
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578783/
https://www.ncbi.nlm.nih.gov/pubmed/33087843
http://dx.doi.org/10.1038/s41598-020-74909-w
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author Fitzgerald, Shane
Duffy, Emer
Holland, Linda
Morrin, Aoife
author_facet Fitzgerald, Shane
Duffy, Emer
Holland, Linda
Morrin, Aoife
author_sort Fitzgerald, Shane
collection PubMed
description The detection of volatile organic compounds (VOC) emitted by pathogenic bacteria has been proposed as a potential non-invasive approach for characterising various infectious diseases as well as wound infections. Studying microbial VOC profiles in vitro allows the mechanisms governing VOC production and the cellular origin of VOCs to be deduced. However, inter-study comparisons of microbial VOC data remains a challenge due to the variation in instrumental and growth parameters across studies. In this work, multiple strains of pathogenic and commensal cutaneous bacteria were analysed using headspace solid phase micro-extraction coupled with gas chromatography–mass spectrometry. A kinetic study was also carried out to assess the relationship between bacterial VOC profiles and the growth phase of cells. Comprehensive bacterial VOC profiles were successfully discriminated at the species-level, while strain-level variation was only observed in specific species and to a small degree. Temporal emission kinetics showed that the emission of particular compound groups were proportional to the respective growth phase for individual S. aureus and P. aeruginosa samples. Standardised experimental workflows are needed to improve comparability across studies and ultimately elevate the field of microbial VOC profiling. Our results build on and support previous literature and demonstrate that comprehensive discriminative results can be achieved using simple experimental and data analysis workflows.
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spelling pubmed-75787832020-10-23 Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria Fitzgerald, Shane Duffy, Emer Holland, Linda Morrin, Aoife Sci Rep Article The detection of volatile organic compounds (VOC) emitted by pathogenic bacteria has been proposed as a potential non-invasive approach for characterising various infectious diseases as well as wound infections. Studying microbial VOC profiles in vitro allows the mechanisms governing VOC production and the cellular origin of VOCs to be deduced. However, inter-study comparisons of microbial VOC data remains a challenge due to the variation in instrumental and growth parameters across studies. In this work, multiple strains of pathogenic and commensal cutaneous bacteria were analysed using headspace solid phase micro-extraction coupled with gas chromatography–mass spectrometry. A kinetic study was also carried out to assess the relationship between bacterial VOC profiles and the growth phase of cells. Comprehensive bacterial VOC profiles were successfully discriminated at the species-level, while strain-level variation was only observed in specific species and to a small degree. Temporal emission kinetics showed that the emission of particular compound groups were proportional to the respective growth phase for individual S. aureus and P. aeruginosa samples. Standardised experimental workflows are needed to improve comparability across studies and ultimately elevate the field of microbial VOC profiling. Our results build on and support previous literature and demonstrate that comprehensive discriminative results can be achieved using simple experimental and data analysis workflows. Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7578783/ /pubmed/33087843 http://dx.doi.org/10.1038/s41598-020-74909-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fitzgerald, Shane
Duffy, Emer
Holland, Linda
Morrin, Aoife
Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
title Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
title_full Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
title_fullStr Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
title_full_unstemmed Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
title_short Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
title_sort multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578783/
https://www.ncbi.nlm.nih.gov/pubmed/33087843
http://dx.doi.org/10.1038/s41598-020-74909-w
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