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Quantitative stable isotope probing (qSIP)-informed metagenomics identifies viruses infecting chemoautotrophs
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  • Published: 14 April 2026

Quantitative stable isotope probing (qSIP)-informed metagenomics identifies viruses infecting chemoautotrophs

  • Elaine Luo  ORCID: orcid.org/0000-0003-0238-75711,2,
  • Ngoc D. Pham1,2,
  • Timothy J. Rogers  ORCID: orcid.org/0000-0002-4292-619X1,2,
  • Md Moinuddin Sheam1,2,
  • Bayleigh E. Benner  ORCID: orcid.org/0000-0002-6266-57403,
  • Joseph J. Vallino  ORCID: orcid.org/0000-0002-4184-45124,
  • Gareth Trubl  ORCID: orcid.org/0000-0001-5008-14765 &
  • …
  • Julie A. Huber  ORCID: orcid.org/0000-0002-4790-76336 

Nature Communications , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Carbon cycle
  • Community ecology
  • Environmental microbiology
  • Water microbiology

Abstract

Aquatic environments absorb ~2.5 gigatonnes of atmospheric carbon each year1, more than the carbon stored in the atmosphere, soils, and all biomass combined. Primary producers transform this dissolved inorganic carbon into biomass that can subsequently flow into other trophic levels, or be released back into the environment through viral lysis. While there is substantial knowledge about the diversity and activity of viruses infecting photoautotrophic primary producers and the ecosystem impact, little is known about viruses infecting chemoautotrophs, representing a gap in our understanding of key processes driving microbial carbon cycling. Here, we combine metagenomics with quantitative 12/13C stable isotopic probing (qSIP) mesocosm experiments in a marine-derived meromictic pond to quantify population-specific isotopic enrichment, identify key chemoautotrophic primary producers, and virus-host dynamics. Isotopically enriched carbon is tracked from the genomes of chemoautotrophs to putative viruses, showing that active populations of hydrogen/sulfur-oxidizing chemoautotrophs (Thiomicrorhabdus, Hydrogenovibrio, Sulfurimonas, Sulfurovum) are targeted by viruses. This work provides the foundation for revealing the diversity and activity of viruses infecting globally-widespread chemoautotrophs. Our study sheds light on trophic interactions that impact microbial carbon cycling in aphotic environments and builds toward biogeochemical models that incorporate viral impacts on chemoautotrophic microbial communities.

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Data availability

Raw sequence data for this project is available on NCBI under Bioproject PRJNA1390687. Source data are provided with this paper. All other data is provided with the paper or appended as supplementary data. Source data are provided with this paper.

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Acknowledgements

We would like to acknowledge Gretta Serres, Alex Worden, Matthew Johnson, Sabrina Elkassas, Cynthia Becker, and Amy Apprill for discussions and/or methodology relevant to this manuscript. The data generation, analyses, and manuscript were supported by the University of North Carolina at Charlotte (startup funds to E.L.), the Hypothesis Fund (to E.L.), and the National Science Foundation (OCE-2513189 to E.L.). Wet lab analyses were supported by the Woods Hole Oceanographic Institution (Weston Howland Jr. Postdoctoral Fellowship to E.L.), the National Oceanic and Atmospheric Administration (NA19OAR4320072 subaward 0007525/102212019 to J.A.H.), and the National Science Foundation (OCE-1947776 to J.A.H.). B.E.B. was supported by the National Science Foundation (PRFB2010963). JJV was supported by the Simons Foundation (549941FY22). G.T. was supported by the US Department of Energy (SCW1632) and was conducted under Contract DE-AC52-07NA27344.

Author information

Authors and Affiliations

  1. Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA

    Elaine Luo, Ngoc D. Pham, Timothy J. Rogers & Md Moinuddin Sheam

  2. Center for Computational Intelligence to Predict Health and Environmental Risks, University of North Carolina at Charlotte, Charlotte, NC, USA

    Elaine Luo, Ngoc D. Pham, Timothy J. Rogers & Md Moinuddin Sheam

  3. Department of Biological and Physical Sciences, Johnson & Wales University, Providence, RI, USA

    Bayleigh E. Benner

  4. Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA

    Joseph J. Vallino

  5. Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA

    Gareth Trubl

  6. Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA, USA

    Julie A. Huber

Authors
  1. Elaine Luo
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  2. Ngoc D. Pham
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  3. Timothy J. Rogers
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  4. Md Moinuddin Sheam
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  5. Bayleigh E. Benner
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  6. Joseph J. Vallino
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  7. Gareth Trubl
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  8. Julie A. Huber
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Contributions

E.L. conceptualized, supervised, and acquired funding for the study with input from J.A.H.; E.L. and B.E.B. collected the samples with help from JV and JAH. EL conducted experiments and wet lab analyses with input from G.T. and J.A.H.; N.P., T.J.R., M.M.S., J.J.V., and E.L. conducted the data analyses. E.L. wrote the manuscript with input from all co-authors. Correspondence and requests for materials should be addressed to elaine.luo@charlotte.edu.

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Correspondence to Elaine Luo.

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Supplementary information

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Data Table S1 (download XLSX )

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Luo, E., Pham, N.D., Rogers, T.J. et al. Quantitative stable isotope probing (qSIP)-informed metagenomics identifies viruses infecting chemoautotrophs. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71833-x

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  • Received: 22 September 2025

  • Accepted: 27 March 2026

  • Published: 14 April 2026

  • DOI: https://doi.org/10.1038/s41467-026-71833-x

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