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Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4

Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic...

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Autores principales: Blanco-Míguez, Aitor, Beghini, Francesco, Cumbo, Fabio, McIver, Lauren J., Thompson, Kelsey N., Zolfo, Moreno, Manghi, Paolo, Dubois, Leonard, Huang, Kun D., Thomas, Andrew Maltez, Nickols, William A., Piccinno, Gianmarco, Piperni, Elisa, Punčochář, Michal, Valles-Colomer, Mireia, Tett, Adrian, Giordano, Francesca, Davies, Richard, Wolf, Jonathan, Berry, Sarah E., Spector, Tim D., Franzosa, Eric A., Pasolli, Edoardo, Asnicar, Francesco, Huttenhower, Curtis, Segata, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635831/
https://www.ncbi.nlm.nih.gov/pubmed/36823356
http://dx.doi.org/10.1038/s41587-023-01688-w
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author Blanco-Míguez, Aitor
Beghini, Francesco
Cumbo, Fabio
McIver, Lauren J.
Thompson, Kelsey N.
Zolfo, Moreno
Manghi, Paolo
Dubois, Leonard
Huang, Kun D.
Thomas, Andrew Maltez
Nickols, William A.
Piccinno, Gianmarco
Piperni, Elisa
Punčochář, Michal
Valles-Colomer, Mireia
Tett, Adrian
Giordano, Francesca
Davies, Richard
Wolf, Jonathan
Berry, Sarah E.
Spector, Tim D.
Franzosa, Eric A.
Pasolli, Edoardo
Asnicar, Francesco
Huttenhower, Curtis
Segata, Nicola
author_facet Blanco-Míguez, Aitor
Beghini, Francesco
Cumbo, Fabio
McIver, Lauren J.
Thompson, Kelsey N.
Zolfo, Moreno
Manghi, Paolo
Dubois, Leonard
Huang, Kun D.
Thomas, Andrew Maltez
Nickols, William A.
Piccinno, Gianmarco
Piperni, Elisa
Punčochář, Michal
Valles-Colomer, Mireia
Tett, Adrian
Giordano, Francesca
Davies, Richard
Wolf, Jonathan
Berry, Sarah E.
Spector, Tim D.
Franzosa, Eric A.
Pasolli, Edoardo
Asnicar, Francesco
Huttenhower, Curtis
Segata, Nicola
author_sort Blanco-Míguez, Aitor
collection PubMed
description Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.01 M prokaryotic reference and metagenome-assembled genomes, we define unique marker genes for 26,970 species-level genome bins, 4,992 of them taxonomically unidentified at the species level. MetaPhlAn 4 explains ~20% more reads in most international human gut microbiomes and >40% in less-characterized environments such as the rumen microbiome and proves more accurate than available alternatives on synthetic evaluations while also reliably quantifying organisms with no cultured isolates. Application of the method to >24,500 metagenomes highlights previously undetected species to be strong biomarkers for host conditions and lifestyles in human and mouse microbiomes and shows that even previously uncharacterized species can be genetically profiled at the resolution of single microbial strains.
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spelling pubmed-106358312023-11-15 Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4 Blanco-Míguez, Aitor Beghini, Francesco Cumbo, Fabio McIver, Lauren J. Thompson, Kelsey N. Zolfo, Moreno Manghi, Paolo Dubois, Leonard Huang, Kun D. Thomas, Andrew Maltez Nickols, William A. Piccinno, Gianmarco Piperni, Elisa Punčochář, Michal Valles-Colomer, Mireia Tett, Adrian Giordano, Francesca Davies, Richard Wolf, Jonathan Berry, Sarah E. Spector, Tim D. Franzosa, Eric A. Pasolli, Edoardo Asnicar, Francesco Huttenhower, Curtis Segata, Nicola Nat Biotechnol Article Metagenomic assembly enables new organism discovery from microbial communities, but it can only capture few abundant organisms from most metagenomes. Here we present MetaPhlAn 4, which integrates information from metagenome assemblies and microbial isolate genomes for more comprehensive metagenomic taxonomic profiling. From a curated collection of 1.01 M prokaryotic reference and metagenome-assembled genomes, we define unique marker genes for 26,970 species-level genome bins, 4,992 of them taxonomically unidentified at the species level. MetaPhlAn 4 explains ~20% more reads in most international human gut microbiomes and >40% in less-characterized environments such as the rumen microbiome and proves more accurate than available alternatives on synthetic evaluations while also reliably quantifying organisms with no cultured isolates. Application of the method to >24,500 metagenomes highlights previously undetected species to be strong biomarkers for host conditions and lifestyles in human and mouse microbiomes and shows that even previously uncharacterized species can be genetically profiled at the resolution of single microbial strains. Nature Publishing Group US 2023-02-23 2023 /pmc/articles/PMC10635831/ /pubmed/36823356 http://dx.doi.org/10.1038/s41587-023-01688-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Blanco-Míguez, Aitor
Beghini, Francesco
Cumbo, Fabio
McIver, Lauren J.
Thompson, Kelsey N.
Zolfo, Moreno
Manghi, Paolo
Dubois, Leonard
Huang, Kun D.
Thomas, Andrew Maltez
Nickols, William A.
Piccinno, Gianmarco
Piperni, Elisa
Punčochář, Michal
Valles-Colomer, Mireia
Tett, Adrian
Giordano, Francesca
Davies, Richard
Wolf, Jonathan
Berry, Sarah E.
Spector, Tim D.
Franzosa, Eric A.
Pasolli, Edoardo
Asnicar, Francesco
Huttenhower, Curtis
Segata, Nicola
Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4
title Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4
title_full Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4
title_fullStr Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4
title_full_unstemmed Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4
title_short Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4
title_sort extending and improving metagenomic taxonomic profiling with uncharacterized species using metaphlan 4
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635831/
https://www.ncbi.nlm.nih.gov/pubmed/36823356
http://dx.doi.org/10.1038/s41587-023-01688-w
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