Evidence map›Paper›PMID 39354152›Full record

ArticleNature microbiology2024

Microbiome-metabolite linkages drive greenhouse gas dynamics over a permafrost thaw gradient.

Viviana Freire-Zapata, Hannah Holland-Moritz, Dylan R Cronin, Sam Aroney, Derek A Smith, Rachel M Wilson, Jessica G Ernakovich, Ben J Woodcroft, Sarah C Bagby, EMERGE 2012 Field Team and 5 more

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

15 authors.

Viviana Freire-ZapataDepartment of Environmental Science, The University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0002-6306-1711
Hannah Holland-MoritzDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA.
Dylan R CroninDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Sam AroneyCentre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute, Woolloongabba, QLD, Australia.ORCID http://orcid.org/0000-0001-9806-5846
Derek A SmithDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-3675-9153
Rachel M WilsonDepartment of Earth Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL, USA.
Jessica G ErnakovichDepartment of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA.ORCID http://orcid.org/0000-0002-4493-2489
Ben J WoodcroftCentre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute, Woolloongabba, QLD, Australia.ORCID http://orcid.org/0000-0003-0670-7480
Sarah C BagbyDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-1795-3161
EMERGE 2012 Field Team
EMERGE Biology Integration Coordinators
Virginia I RichDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Matthew B SullivanDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.ORCID http://orcid.org/0000-0001-8398-8234
James C StegenTerrestrial and Aquatic Integration Team, Pacific Northwest National Laboratory, Richland, WA, USA.
Malak M TfailyDepartment of Environmental Science, The University of Arizona, Tucson, AZ, USA. tfaily@arizona.edu.ORCID http://orcid.org/0000-0002-3036-2833

Funding

DOE | SC | Biological and Environmental Research (BER) DE-SC0021349NSF | Directorate for Biological Sciences (BIO) 2022070
6 · The paper itself

Abstract

Interactions between microbiomes and metabolites play crucial roles in the environment, yet how these interactions drive greenhouse gas emissions during ecosystem changes remains unclear. Here we analysed microbial and metabolite composition across a permafrost thaw gradient in Stordalen Mire, Sweden, using paired genome-resolved metagenomics and high-resolution Fourier transform ion cyclotron resonance mass spectrometry guided by principles from community assembly theory to test whether microorganisms and metabolites show concordant responses to changing drivers. Our analysis revealed divergence between the inferred microbial versus metabolite assembly processes, suggesting distinct responses to the same selective pressures. This contradicts common assumptions in trait-based microbial models and highlights the limitations of measuring microbial community-level data alone. Furthermore, feature-scale analysis revealed connections between microbial taxa, metabolites and observed CO

Indexed as

BacteriaCarbon DioxideGreenhouse GasesMetagenomicsMethaneMicrobiotaPermafrostEcosystemSoil MicrobiologySwedenCarbon DioxideGreenhouse GasesMethane

Identifiers

PMID39354152
PMCPMC11522005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.