MetaPhlAn 4b3

MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With the newly added StrainPhlAn module, it is now possible to perform accurate strain-level microbial profiling.

MetaPhlAn: Metagenomic Phylogenetic Analysis

What's new in version 4

• Adoption of the species-level genome bins system (SGBs, http://segatalab.cibio.unitn.it/data/Pasolli_et_al.html)
• New MetaPhlAn marker genes extracted identified from ~1M microbial genomes
• Ability to profile 21,978 known (kSGBs) and 4,992 unknown (uSGBs) microbial species
• Better representation of, not only the human gut microbiome but also many other animal and ecological environments
• Estimation of metagenome composed by microbes not included in the database with parameter --unclassified_estimation
• Compatibility with MetaPhlAn 3 databases with parameter --mpa3

---

Description

MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With StrainPhlAn, it is possible to perform accurate strain-level microbial profiling. MetaPhlAn 4 relies on ~5.1M unique clade-specific marker genes identified from ~1M microbial genomes (~236,600 references and 771,500 metagenomic assembled genomes) spanning 26,970 species-level genome bins (SGBs, http://segatalab.cibio.unitn.it/data/Pasolli_et_al.html), 4,992 of them taxonomically unidentified at the species level, allowing:

• unambiguous taxonomic assignments;
• an accurate estimation of organismal relative abundance;
• SGB-level resolution for bacteria, archaea and eukaryotes;
• strain identification and tracking
• orders of magnitude speedups compared to existing methods.
• metagenomic strain-level population genomics

If you use MetaPhlAn, please cite:

Extending and improving metagenomic taxonomic profiling with uncharacterized species with MetaPhlAn 4. Aitor Blanco-Miguez, Francesco Beghini, Fabio Cumbo, Lauren J. McIver, Kelsey N. Thompson, Moreno Zolfo, Paolo Manghi, Leonard Dubois, Kun D. Huang, Andrew Maltez Thomas, Gianmarco Piccinno, Elisa Piperni, Michal Punčochář, Mireia Valles-Colomer, Adrian Tett, Francesca Giordano, Richard Davies, Jonathan Wolf, Sarah E. Berry, Tim D. Spector, Eric A. Franzosa, Edoardo Pasolli, Francesco Asnicar, Curtis Huttenhower, Nicola Segata. Preprint (2022)

If you use StrainPhlAn, please cite the MetaPhlAn paper and the following StrainPhlAn paper:

Microbial strain-level population structure and genetic diversity from metagenomes. Duy Tin Truong, Adrian Tett, Edoardo Pasolli, Curtis Huttenhower, & Nicola Segata. Genome Research 27:626-638 (2017)

---

MetaPhlAn and StrainPhlAn tutorials and resources

In addition to the information on this page, you can refer to the following additional resources.

• The MetaPhlAn documentation.

• The StrainPhlAn documentation.

• Related tools including PanPhlAn (and its tutorial), GraPhlAn (and it tutorial), PhyloPhlAn 3 (and its tutorial), HUMAnN (and its tutorial).

• The related bioBakery workflows