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

Aitor Blanco‐Míguez(University of Trento), Francesco Beghini(University of Trento), Fabio Cumbo(University of Trento), Lauren J. McIver(Broad Institute), Kelsey N. Thompson(Broad Institute), Moreno Zolfo(University of Trento), Paolo Manghi(University of Trento), Léonard Dubois(University of Trento), Kun D. Huang(University of Trento), Andrew Maltez Thomas(University of Trento), William A. Nickols(Broad Institute), Gianmarco Piccinno(University of Trento), Elisa Piperni(University of Trento), Michal Punčochář(University of Trento), Mireia Valles‐Colomer(University of Trento), Adrian Tett(University of Vienna), Francesca Giordano(ZOE (United Kingdom)), Richard Davies(ZOE (United Kingdom)), Jonathan Wolf(ZOE (United Kingdom)), Sarah Berry(King's College London), Tim D. Spector(King's College London), Eric A. Franzosa(Broad Institute), Edoardo Pasolli(University of Naples Federico II), Francesco Asnicar(University of Trento), Curtis Huttenhower(Broad Institute), Nicola Segata(University of Trento)
Nature Biotechnology
February 23, 2023
Cited by 1,301Open Access
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Abstract

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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