Soil Viruses Are Underexplored Players in Ecosystem Carbon Processing

Author:

Trubl Gareth1ORCID,Jang Ho Bin1,Roux Simon1,Emerson Joanne B.1,Solonenko Natalie1,Vik Dean R.1,Solden Lindsey1,Ellenbogen Jared1,Runyon Alexander T.1,Bolduc Benjamin1,Woodcroft Ben J.2,Saleska Scott R.3,Tyson Gene W.2,Wrighton Kelly C.1,Sullivan Matthew B.14,Rich Virginia I.1

Affiliation:

1. Department of Microbiology, The Ohio State University, Columbus, Ohio, USA

2. Australian Centre for Ecogenomics, The University of Queensland, St. Lucia, Queensland, Australia

3. Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA

4. Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, USA

Abstract

This work is part of a 10-year project to examine thawing permafrost peatlands and is the first virome-particle-based approach to characterize viruses in these systems. This method yielded >2-fold-more viral populations (vOTUs) per gigabase of metagenome than vOTUs derived from bulk-soil metagenomes from the same site (J. B. Emerson, S. Roux, J. R. Brum, B. Bolduc, et al., Nat Microbiol 3:870–880, 2018, https://doi.org/10.1038/s41564-018-0190-y ). We compared the ecology of the recovered vOTUs along a permafrost thaw gradient and found (i) habitat specificity, (ii) a shift in viral community identity from soil-like to aquatic-like viruses, (iii) infection of dominant microbial hosts, and (iv) carriage of host metabolic genes. These vOTUs can impact ecosystem carbon processing via top-down (inferred from lysing dominant microbial hosts) and bottom-up (inferred from carriage of auxiliary metabolic genes) controls. This work serves as a foundation which future studies can build upon to increase our understanding of the soil virosphere and how viruses affect soil ecosystem services.

Funder

U.S. Department of Energy

Gordon and Betty Moore 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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