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High-resolution sweep metagenomics using fast probabilistic inference
Determining the composition of bacterial communities beyond the level of a genus or species is challenging because of the considerable overlap between genomes representing close relatives. Here, we present the mSWEEP pipeline for identifying and estimating the relative sequence abundances of bacteri...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543175/ https://www.ncbi.nlm.nih.gov/pubmed/34746439 http://dx.doi.org/10.12688/wellcomeopenres.15639.2 |
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author | Mäklin, Tommi Kallonen, Teemu David, Sophia Boinett, Christine J. Pascoe, Ben Méric, Guillaume Aanensen, David M. Feil, Edward J. Baker, Stephen Parkhill, Julian Sheppard, Samuel K. Corander, Jukka Honkela, Antti |
author_facet | Mäklin, Tommi Kallonen, Teemu David, Sophia Boinett, Christine J. Pascoe, Ben Méric, Guillaume Aanensen, David M. Feil, Edward J. Baker, Stephen Parkhill, Julian Sheppard, Samuel K. Corander, Jukka Honkela, Antti |
author_sort | Mäklin, Tommi |
collection | PubMed |
description | Determining the composition of bacterial communities beyond the level of a genus or species is challenging because of the considerable overlap between genomes representing close relatives. Here, we present the mSWEEP pipeline for identifying and estimating the relative sequence abundances of bacterial lineages from plate sweeps of enrichment cultures. mSWEEP leverages biologically grouped sequence assembly databases, applying probabilistic modelling, and provides controls for false positive results. Using sequencing data from major pathogens, we demonstrate significant improvements in lineage quantification and detection accuracy. Our pipeline facilitates investigating cultures comprising mixtures of bacteria, and opens up a new field of plate sweep metagenomics. |
format | Online Article Text |
id | pubmed-8543175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-85431752021-11-05 High-resolution sweep metagenomics using fast probabilistic inference Mäklin, Tommi Kallonen, Teemu David, Sophia Boinett, Christine J. Pascoe, Ben Méric, Guillaume Aanensen, David M. Feil, Edward J. Baker, Stephen Parkhill, Julian Sheppard, Samuel K. Corander, Jukka Honkela, Antti Wellcome Open Res Method Article Determining the composition of bacterial communities beyond the level of a genus or species is challenging because of the considerable overlap between genomes representing close relatives. Here, we present the mSWEEP pipeline for identifying and estimating the relative sequence abundances of bacterial lineages from plate sweeps of enrichment cultures. mSWEEP leverages biologically grouped sequence assembly databases, applying probabilistic modelling, and provides controls for false positive results. Using sequencing data from major pathogens, we demonstrate significant improvements in lineage quantification and detection accuracy. Our pipeline facilitates investigating cultures comprising mixtures of bacteria, and opens up a new field of plate sweep metagenomics. F1000 Research Limited 2021-10-08 /pmc/articles/PMC8543175/ /pubmed/34746439 http://dx.doi.org/10.12688/wellcomeopenres.15639.2 Text en Copyright: © 2021 Mäklin T et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Mäklin, Tommi Kallonen, Teemu David, Sophia Boinett, Christine J. Pascoe, Ben Méric, Guillaume Aanensen, David M. Feil, Edward J. Baker, Stephen Parkhill, Julian Sheppard, Samuel K. Corander, Jukka Honkela, Antti High-resolution sweep metagenomics using fast probabilistic inference |
title | High-resolution sweep metagenomics using fast probabilistic inference |
title_full | High-resolution sweep metagenomics using fast probabilistic inference |
title_fullStr | High-resolution sweep metagenomics using fast probabilistic inference |
title_full_unstemmed | High-resolution sweep metagenomics using fast probabilistic inference |
title_short | High-resolution sweep metagenomics using fast probabilistic inference |
title_sort | high-resolution sweep metagenomics using fast probabilistic inference |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543175/ https://www.ncbi.nlm.nih.gov/pubmed/34746439 http://dx.doi.org/10.12688/wellcomeopenres.15639.2 |
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