Complementary Metagenomic Approaches Improve Reconstruction of Microbial Diversity in a Forest Soil

Author:

Alteio L. V.1,Schulz F.2ORCID,Seshadri R.2,Varghese N.2,Rodriguez-Reillo W.1,Ryan E.2,Goudeau D.2,Eichorst S. A.3ORCID,Malmstrom R. R.2,Bowers R. M.2,Katz L. A.14ORCID,Blanchard J. L.5,Woyke T.2ORCID

Affiliation:

1. Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts Amherst, Amherst, Massachusetts, USA

2. Department of Energy, Joint Genome Institute, Berkeley, California, USA

3. Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria

4. Department of Biological Sciences, Smith College, Northampton, Massachusetts, USA

5. Department of Biology, University of Massachusetts Amherst, Amherst, Massachusetts, USA

Abstract

Microbial ecologists have historically used cultivation-based approaches as well as amplicon sequencing and shotgun metagenomics to characterize microbial diversity in soil. However, challenges persist in the study of microbial diversity, including the recalcitrance of the majority of microorganisms to laboratory cultivation and limited sequence assembly from highly complex samples. The uncultivated majority thus remains a reservoir of untapped genetic diversity. To address some of the challenges associated with bulk metagenomics as well as low throughput of single-cell genomics, we applied flow cytometry-enabled mini-metagenomics to capture expanded microbial diversity from forest soil and compare it to soil bulk metagenomics. Our resulting data from this pooled-cell sorting approach combined with bulk metagenomics revealed increased phylogenetic diversity through novel soil taxa and rare biosphere members. In-depth analysis of genomes within the highly represented Bacteroidetes phylum provided insights into conserved and clade-specific patterns of carbon metabolism.

Funder

U.S. Department of Energy

Austrian Science Fund

MoSTR | National Science Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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