Evidence map›Paper›PMID 38559185›Full record

ArticlebioRxiv : the preprint server for biology2024

Functional regimes define the response of the soil microbiome to environmental change.

Kiseok Keith Lee, Siqi Liu, Kyle Crocker, David R Huggins, Mikhail Tikhonov, Madhav Mani, Seppe Kuehn

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kiseok Keith LeeDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-3298-7116
Siqi LiuDepartment of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208, USA.ORCID 0009-0005-1651-4713
Kyle CrockerDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0531-1521
David R HugginsUSDA-ARS, Northwest Sustainable Agroecosystems Research Unit, Pullman, WA 99164, USA.ORCID 0000-0003-0441-8677
Mikhail TikhonovDepartment of Physics, Washington University in St. Louis, St. Louis, MO 63130, USA.ORCID 0000-0002-9558-1121
Madhav ManiDepartment of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-5812-4167
Seppe KuehnDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-4130-6845

Funding

Environmental modulation of metabolic function in microbial communitiesR01GM151538 · NIGMS · UNIVERSITY OF CHICAGO · PI Seppe Kuehn · 2023 to 2026
$1.5M
NIGMS NIH HHS R01 GM151538
6 · The paper itself

Abstract

The metabolic activity of soil microbiomes plays a central role in carbon and nitrogen cycling. Given the changing climate, it is important to understand how the metabolism of natural communities responds to environmental change. However, the ecological, spatial, and chemical complexity of soils makes understanding the mechanisms governing the response of these communities to perturbations challenging. Here, we overcome this complexity by using dynamic measurements of metabolism in microcosms and modeling to reveal regimes where a few key mechanisms govern the response of soils to environmental change. We sample soils along a natural pH gradient, construct >1500 microcosms to perturb the pH, and quantify the dynamics of respiratory nitrate utilization, a key process in the nitrogen cycle. Despite the complexity of the soil microbiome, a minimal mathematical model with two variables, the quantity of active biomass in the community and the availability of a growth-limiting nutrient, quantifies observed nitrate utilization dynamics across soils and pH perturbations. Across environmental perturbations, changes in these two variables give rise to three functional regimes each with qualitatively distinct dynamics of nitrate utilization over time: a regime where acidic perturbations induce cell death that limits metabolic activity, a nutrient-limiting regime where nitrate uptake is performed by dominant taxa that utilize nutrients released from the soil matrix, and a resurgent growth regime in basic conditions, where excess nutrients enable growth of initially rare taxa. The underlying mechanism of each regime is predicted by our interpretable model and tested via amendment experiments, nutrient measurements, and sequencing. Further, our data suggest that the long-term history of environmental variation in the wild influences the transitions between functional regimes. Therefore, quantitative measurements and a mathematical model reveal the existence of qualitative regimes that capture the mechanisms and dynamics of a community responding to environmental change.

Identifiers

PMID38559185
PMCPMC10980070

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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.