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

Author:

Beghini Francesco1ORCID,McIver Lauren J2,Blanco-Míguez Aitor1,Dubois Leonard1ORCID,Asnicar Francesco1,Maharjan Sagun23,Mailyan Ana23,Manghi Paolo1,Scholz Matthias4ORCID,Thomas Andrew Maltez1,Valles-Colomer Mireia1,Weingart George23,Zhang Yancong23ORCID,Zolfo Moreno1ORCID,Huttenhower Curtis23ORCID,Franzosa Eric A23ORCID,Segata Nicola15ORCID

Affiliation:

1. Department CIBIO, University of Trento, Trento, Italy

2. Harvard T.H. Chan School of Public Health, Boston, United States

3. The Broad Institute of MIT and Harvard, Cambridge, United States

4. Department of Food Quality and Nutrition, Research and Innovation Center, Edmund Mach Foundation, San Michele all’Adige, Italy

5. IEO, European Institute of Oncology IRCCS, Milan, Italy

Abstract

Culture-independent analyses of microbial communities have progressed 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 (1262 metagenomes) and IBD (1635 metagenomes and 817 metatranscriptomes). Strain-level profiling of an additional 4077 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.

Funder

H2020 European Research Council

Ministero dell’Istruzione, dell’Università e della Ricerca

H2020 Health

H2020 Food

National Institutes of Health

National Institute of Diabetes and Digestive and Kidney Diseases

Cancer Research UK

Juvenile Diabetes Research Foundation United States of America

National Human Genome Research Institute

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference141 articles.

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