Evidence map›Paper›PMID 35722720›Full record

ReviewGlobal change biology2022

Microbiome assembly in thawing permafrost and its feedbacks to climate.

Jessica G Ernakovich, Robyn A Barbato, Virginia I Rich, Christina Schädel, Rebecca E Hewitt, Stacey J Doherty, Emily D Whalen, Benjamin W Abbott, Jiri Barta, Christina Biasi and 16 more

Abstract readReview
In one paragraph

Review in Global change biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  20. Breaking the Ice: A Review of Phages in Polar Ecosystems.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Jessica G ErnakovichNatural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0002-4493-2489
Robyn A BarbatoU.S. Army Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA.ORCID 0000-0001-8314-8526
Virginia I RichEMergent Ecosystem Response to ChanGE (EMERGE) Biology Integration Institute.ORCID 0000-0003-0558-102X
Christina SchädelCenter for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA.ORCID 0000-0003-2145-6210
Rebecca E HewittCenter for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA.ORCID 0000-0002-6668-8472
Stacey J DohertyMolecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0003-1453-0195
Emily D WhalenNatural Resources and the Environment, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0001-9269-289X
Benjamin W AbbottDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, USA.ORCID 0000-0001-5861-3481
Jiri BartaCentre for Polar Ecology, University of South Bohemia, Ceske Budejovice, Czech Republic.ORCID 0000-0002-7319-303X
Christina BiasiDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-7413-3354
Chris L ChabotCalifornia State University Northridge, Northridge, California, USA.ORCID 0000-0003-0681-2942
Jenni HultmanNatural Resources Institute Finland, Helsinki, Finland.ORCID 0000-0002-3431-1785
Christian KnoblauchInstitute of Soil Science, Universität Hamburg, Hamburg, Germany.ORCID 0000-0002-7147-1008
Maggie C Y Lau VetterDepartment of Geosciences, Princeton University, Princeton, New Jersey, USA.ORCID 0000-0003-2812-9749
Mary-Cathrine LeewisU.S. Geological Survey, Geology, Minerals, Energy and Geophysics Science Center, Menlo Park, California, USA.ORCID 0000-0001-6496-8094
Susanne LiebnerGFZ German Research Centre for Geosciences, Section Geomicrobiology, Potsdam, Germany.ORCID 0000-0002-9389-7093
Rachel MackelprangCalifornia State University Northridge, Northridge, California, USA.ORCID 0000-0002-7213-7415
Tullis C OnstottDepartment of Geosciences, Princeton University, Princeton, New Jersey, USA.ORCID 0000-0002-2898-3374
Andreas RichterCentre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria.ORCID 0000-0003-3282-4808
Ursel M E SchütteInstitute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, Alaska, USA.ORCID 0000-0002-7201-786X
Henri M P SiljanenDepartment of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0002-3197-1438
Neslihan TaşLawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0001-7525-2331
Ina TimlingUniversity of Alaska, Fairbanks, Alaska, USA.ORCID 0000-0002-6755-0782
Tatiana A VishnivetskayaUniversity of Tennessee, Knoxville, Tennessee, USA.ORCID 0000-0002-0660-023X
Mark P WaldropU.S. Geological Survey, Geology, Minerals, Energy and Geophysics Science Center, Menlo Park, California, USA.ORCID 0000-0003-1829-7140
Matthias WinkelGFZ German Research Centre for Geosciences, Interface Geochemistry, Potsdam, Germany.ORCID 0000-0003-3692-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

MicrobiotaPermafrostArctic RegionsFeedbackPhylogenySoilSoil

Identifiers

PMID35722720
PMCPMC9541943

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.