Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0

Francesco Asnicar(University of Trento), Andrew Maltez Thomas(University of Trento), Francesco Beghini(University of Trento), Claudia Mengoni(University of Trento), Serena Manara(University of Trento), Paolo Manghi(University of Trento), Qiyun Zhu(University of California San Diego), Mattia Bolzan(University of Trento), Fabio Cumbo(University of Trento), Uyen May(University of California San Diego), Jon G. Sanders(Cornell University), Moreno Zolfo(University of Trento), Evguenia Kopylova(University of California San Diego), Edoardo Pasolli(University of Trento), Rob Knight(University of California San Diego), Siavash Mirarab(University of California San Diego), Curtis Huttenhower(Broad Institute), Nicola Segata(University of Trento)
Nature Communications
May 19, 2020
Cited by 881Open Access
Full Text

Abstract

Microbial genomes are available at an ever-increasing pace, as cultivation and sequencing become cheaper and obtaining metagenome-assembled genomes (MAGs) becomes more effective. Phylogenetic placement methods to contextualize hundreds of thousands of genomes must thus be efficiently scalable and sensitive from closely related strains to divergent phyla. We present PhyloPhlAn 3.0, an accurate, rapid, and easy-to-use method for large-scale microbial genome characterization and phylogenetic analysis at multiple levels of resolution. PhyloPhlAn 3.0 can assign genomes from isolate sequencing or MAGs to species-level genome bins built from >230,000 publically available sequences. For individual clades of interest, it reconstructs strain-level phylogenies from among the closest species using clade-specific maximally informative markers. At the other extreme of resolution, it scales to large phylogenies comprising >17,000 microbial species. Examples including Staphylococcus aureus isolates, gut metagenomes, and meta-analyses demonstrate the ability of PhyloPhlAn 3.0 to support genomic and metagenomic analyses.


Related Papers