Evidence map›Paper›PMID 38014336›Full record

ArticlebioRxiv : the preprint server for biology2023

Global patterns in gene content of soil microbiomes emerge from microbial interactions.

Kyle Crocker, Kiseok Keith Lee, Milena Chakraverti-Wuerthwein, Zeqian Li, Mikhail Tikhonov, Madhav Mani, Karna Gowda, Seppe Kuehn

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

8 authors.

Kyle CrockerDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-0531-1521
Kiseok Keith LeeDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.
Milena Chakraverti-WuerthweinBiophysical Sciences Graduate Program, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-4162-3437
Zeqian LiDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-0884-8028
Mikhail TikhonovDepartment of Physics, Washington University in St. Louis, St. Louis, MO 63130, USA.
Madhav ManiDepartment of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-5812-4167
Karna GowdaDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-6812-4745
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

Microbial metabolism sustains life on Earth. Sequencing surveys of communities in hosts, oceans, and soils have revealed ubiquitous patterns linking the microbes present, the genes they possess, and local environmental conditions. One prominent explanation for these patterns is environmental filtering: local conditions select strains with particular traits. However, filtering assumes ecological interactions do not influence patterns, despite the fact that interactions can and do play an important role in structuring communities. Here, we demonstrate the insufficiency of the environmental filtering hypothesis for explaining global patterns in topsoil microbiomes. Using denitrification as a model system, we find that the abundances of two characteristic genotypes trade-off with pH;

Identifiers

PMID38014336
PMCPMC10680560

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.