Published March 24, 2022 | Version v1
Journal article Open

Microbiome assembly in thawing permafrost and its feedbacks to climate

  • 1. Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, USA EMergent Ecosystem Response to ChanGE (EMERGE) Biology Integration Institute
  • 2. U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA
  • 3. EMergent Ecosystem Response to ChanGE (EMERGE) Biology Integration Institute Microbiology Department, Ohio State University, Columbus, Ohio, USA Byrd Polar and Climate Research Center, Ohio State University, Colombus, Ohio, USA Center of Microbiome Science, Ohio State University, Colombus, Ohio, USA
  • 4. Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
  • 5. Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA Department of Environmental Studies, Amherst College, Amherst, Massachusetts, USA
  • 6. Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, USA U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA
  • 7. Natural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA
  • 8. Department of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, USA
  • 9. Centre for Polar Ecology, University of South Bohemia, Ceske Budejovice, Czech Republic
  • 10. Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
  • 11. California State University Northridge, Northridge, California, USA
  • 12. Natural Resources Institute Finland, Helsinki, Finland
  • 13. Institute of Soil Science, Universität Hamburg, Hamburg, Germany Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg, Germany
  • 14. Department of Geosciences, Princeton University, Princeton, New Jersey, USA Laboratory of Extraterrestrial Ocean Systems (LEOS), Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
  • 15. U.S. Geological Survey, Geology, Minerals, Energy and Geophysics Science Center, Menlo Park, California, USA Agriculture and Agri-Food Canada, Quebec Research and Development Centre, Quebec, Quebec, Canada
  • 16. GFZ German Research Centre for Geosciences, Section Geomicrobiology, Potsdam, Germany
  • 17. Department of Geosciences, Princeton University, Princeton, New Jersey, USA
  • 18. Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria Austrian Polar Research Institute, Vienna, Austria
  • 19. Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska, USA
  • 20. Lawrence Berkeley National Laboratory, Berkeley, California, USA
  • 21. University of Alaska, Fairbanks, Alaska, USA
  • 22. University of Tennessee, Knoxville, Tennessee, USA Institute of Physicochemical and Biological Problems of Soil Science, Pushchino, Russia
  • 23. U.S. Geological Survey, Geology, Minerals, Energy and Geophysics Science Center, Menlo Park, California, USA
  • 24. GFZ German Research Centre for Geosciences, Interface Geochemistry, Potsdam, Germany BfR Federal Institute for Risk Assessment, Berlin, Germany

Description

The physical and chemical changes that accompany permafrost thaw directly influence the microbial communities that mediate the decomposition of formerly frozen organic matter, leading to uncertainty in permafrost–climate feedbacks. Although changes to microbial metabolism and community structure are documented following thaw, the generality of post-thaw assembly patterns across permafrost soils of the world remains uncertain, limiting our ability to predict biogeochemistry and microbial community responses to climate change. Based on our review of the Arctic microbiome, permafrost microbiology, and community ecology, we propose that Assembly Theory provides a framework to better understand thaw-mediated microbiome changes and the implications for community function and climate feedbacks. This framework posits that the prevalence of deterministic or stochastic processes indicates whether the community is well-suited to thrive in changing environmental conditions. We predict that on a short timescale and following high-disturbance thaw (e.g., thermokarst), stochasticity dominates post-thaw microbiome assembly, suggesting that functional predictions will be aided by detailed information about the microbiome. At a longer timescale and lower-intensity disturbance (e.g., active layer deepening), deterministic processes likely dominate, making environmental parameters sufficient for predicting function. We propose that the contribution of stochastic and deterministic processes to post-thaw microbiome assembly depends on the characteristics of the thaw disturbance, as well as characteristics of the microbial community, such as the ecological and phylogenetic breadth of functional guilds, their functional redundancy, and biotic interactions. These propagate across space and time, potentially providing a means for predicting the microbial forcing of greenhouse gas feedbacks to global climate change.

Files

Ernakovich et al. 2022 - Microbiome assembly in thawing permafrost and its feedbacks to climate.pdf