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Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

Authors :
George Weingart
Yancong Zhang
Leonard Dubois
Aitor Blanco-Míguez
Mireia Valles-Colomer
Francesco Beghini
Moreno Zolfo
Lauren J. McIver
Andrew Maltez Thomas
Paolo Manghi
Nicola Segata
Francesco Asnicar
Curtis Huttenhower
Ana Mailyan
Eric A. Franzosa
Sagun Maharjan
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Culture-independent analyses of microbial communities have advanced dramatically in the last decade, particularly due to advances in methods for biological profiling via shotgun metagenomics. Opportunities for improvement continue to accelerate, with greater access to multi-omics, microbial reference genomes, and strain-level diversity. To leverage these, we present bioBakery 3, a set of integrated, improved methods for taxonomic, strain-level, functional, and phylogenetic profiling of metagenomes newly developed to build on the largest set of reference sequences now available. Compared to current alternatives, MetaPhlAn 3 increases the accuracy of taxonomic profiling, and HUMAnN 3 improves that of functional potential and activity. These methods detected novel disease-microbiome links in applications to CRC (1,262 metagenomes) and IBD (1,635 metagenomes and 817 metatranscriptomes). Strain-level profiling of an additional 4,077 metagenomes with StrainPhlAn 3 and PanPhlAn 3 unraveled the phylogenetic and functional structure of the common gut microbe Ruminococcus bromii, previously described by only 15 isolate genomes. With open-source implementations and cloud-deployable reproducible workflows, the bioBakery 3 platform can help researchers deepen the resolution, scale, and accuracy of multi-omic profiling for microbial community studies.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........1a598af2c0e8d29cc67cab557814e73a
Full Text :
https://doi.org/10.1101/2020.11.19.388223