Evidence map›Paper›PMID 41853537›Full record

ArticleFrontiers in microbiomes2024

Translating macroecological models to predict microbial establishment probability in an agricultural inoculant introduction.

Isaac M Klimasmith, Bing Wang, Sora Yu, Yasuo Yoshikuni, Angela D Kent

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 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

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

5 authors.

Isaac M KlimasmithUniversity of Illinois Urbana-Champaign, Department of Crop Sciences, Urbana, IL, United States.
Bing WangCenter for Quantitative Life Sciences, Oregon State University, Corvallis, OR, United States.
Sora YuUS Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Yasuo YoshikuniDepartment of Energy (DOE), Center for Advanced Bioenergy & Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Angela D KentDepartment of Energy (DOE), Center for Advanced Bioenergy & Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of potentially beneficial microorganisms in agriculture (microbial inoculants) has rapidly accelerated in recent years. For microbial inoculants to be effective as agricultural tools, these organisms must be able to survive and persist in novel environments while not destabilizing the resident community or spilling over into adjacent natural ecosystems. Despite the importance of propagule pressure to species introductions, few tools exist in microbial ecology to predict the outcomes of agricultural microbial introductions. Here, we adapt a macroecological propagule pressure model to a microbial scale and present an experimental approach for testing the role of propagule pressure in microbial inoculant introductions. We experimentally determined the risk-release relationship for an IAA-expressing

Indexed as

agricultureinvasion ecologymicrobial inoculantsmodelingpropagule pressure

Identifiers

PMID41853537
PMCPMC12993525

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.