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Developing standards for the microbiome field

BACKGROUND: Effective standardisation of methodologies to analyse the microbiome is essential to the entire microbiome community. Despite the microbiome field being established for over a decade, there are no accredited or certified reference materials available to the wider community. In this study...

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Autores principales: Amos, Gregory C. A., Logan, Alastair, Anwar, Saba, Fritzsche, Martin, Mate, Ryan, Bleazard, Thomas, Rijpkema, Sjoerd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320585/
https://www.ncbi.nlm.nih.gov/pubmed/32591016
http://dx.doi.org/10.1186/s40168-020-00856-3
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author Amos, Gregory C. A.
Logan, Alastair
Anwar, Saba
Fritzsche, Martin
Mate, Ryan
Bleazard, Thomas
Rijpkema, Sjoerd
author_facet Amos, Gregory C. A.
Logan, Alastair
Anwar, Saba
Fritzsche, Martin
Mate, Ryan
Bleazard, Thomas
Rijpkema, Sjoerd
author_sort Amos, Gregory C. A.
collection PubMed
description BACKGROUND: Effective standardisation of methodologies to analyse the microbiome is essential to the entire microbiome community. Despite the microbiome field being established for over a decade, there are no accredited or certified reference materials available to the wider community. In this study, we describe the development of the first reference reagents produced by the National Institute for Biological Standards and Control (NIBSC) for microbiome analysis by next-generation sequencing. These can act as global working standards and will be evaluated as candidate World Health Organization International Reference Reagents. RESULTS: We developed the NIBSC DNA reference reagents Gut-Mix-RR and Gut-HiLo-RR and a four-measure framework for evaluation of bioinformatics tool and pipeline bias. Using these reagents and reporting system, we performed an independent evaluation of a variety of bioinformatics tools by analysing shotgun sequencing and 16S rRNA sequencing data generated from the Gut-Mix-RR and Gut-HiLo-RR. We demonstrate that key measures of microbiome health, such as diversity estimates, are largely inflated by the majority of bioinformatics tools. Across all tested tools, biases were present, with a clear trade-off occurring between sensitivity and the relative abundance of false positives in the final dataset. Using commercially available mock communities, we investigated how the composition of reference reagents may impact benchmarking studies. Reporting measures consistently changed when the same bioinformatics tools were used on different community compositions. This was influenced by both community complexity and taxonomy of species present. Both NIBSC reference reagents, which consisted of gut commensal species, proved to be the most challenging for the majority of bioinformatics tools tested. Going forward, we recommend the field uses site-specific reagents of a high complexity to ensure pipeline benchmarking is fit for purpose. CONCLUSIONS: If a consensus of acceptable levels of error can be agreed on, widespread adoption of these reference reagents will standardise downstream gut microbiome analyses. We propose to do this through a large open-invite collaborative study for multiple laboratories in 2020.
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spelling pubmed-73205852020-06-29 Developing standards for the microbiome field Amos, Gregory C. A. Logan, Alastair Anwar, Saba Fritzsche, Martin Mate, Ryan Bleazard, Thomas Rijpkema, Sjoerd Microbiome Research BACKGROUND: Effective standardisation of methodologies to analyse the microbiome is essential to the entire microbiome community. Despite the microbiome field being established for over a decade, there are no accredited or certified reference materials available to the wider community. In this study, we describe the development of the first reference reagents produced by the National Institute for Biological Standards and Control (NIBSC) for microbiome analysis by next-generation sequencing. These can act as global working standards and will be evaluated as candidate World Health Organization International Reference Reagents. RESULTS: We developed the NIBSC DNA reference reagents Gut-Mix-RR and Gut-HiLo-RR and a four-measure framework for evaluation of bioinformatics tool and pipeline bias. Using these reagents and reporting system, we performed an independent evaluation of a variety of bioinformatics tools by analysing shotgun sequencing and 16S rRNA sequencing data generated from the Gut-Mix-RR and Gut-HiLo-RR. We demonstrate that key measures of microbiome health, such as diversity estimates, are largely inflated by the majority of bioinformatics tools. Across all tested tools, biases were present, with a clear trade-off occurring between sensitivity and the relative abundance of false positives in the final dataset. Using commercially available mock communities, we investigated how the composition of reference reagents may impact benchmarking studies. Reporting measures consistently changed when the same bioinformatics tools were used on different community compositions. This was influenced by both community complexity and taxonomy of species present. Both NIBSC reference reagents, which consisted of gut commensal species, proved to be the most challenging for the majority of bioinformatics tools tested. Going forward, we recommend the field uses site-specific reagents of a high complexity to ensure pipeline benchmarking is fit for purpose. CONCLUSIONS: If a consensus of acceptable levels of error can be agreed on, widespread adoption of these reference reagents will standardise downstream gut microbiome analyses. We propose to do this through a large open-invite collaborative study for multiple laboratories in 2020. BioMed Central 2020-06-26 /pmc/articles/PMC7320585/ /pubmed/32591016 http://dx.doi.org/10.1186/s40168-020-00856-3 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Amos, Gregory C. A.
Logan, Alastair
Anwar, Saba
Fritzsche, Martin
Mate, Ryan
Bleazard, Thomas
Rijpkema, Sjoerd
Developing standards for the microbiome field
title Developing standards for the microbiome field
title_full Developing standards for the microbiome field
title_fullStr Developing standards for the microbiome field
title_full_unstemmed Developing standards for the microbiome field
title_short Developing standards for the microbiome field
title_sort developing standards for the microbiome field
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320585/
https://www.ncbi.nlm.nih.gov/pubmed/32591016
http://dx.doi.org/10.1186/s40168-020-00856-3
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