Evidence map›Paper›PMID 37997973›Full record

ArticleBiology2023

Are Plant-Soil Feedbacks Caused by Many Weak Microbial Interactions?

Julia K Aaronson, Andrew Kulmatiski, Leslie E Forero, Josephine Grenzer, Jeanette M Norton

Abstract read
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Julia K AaronsonWildland Resources and the Ecology Center, Utah State University, Logan, UT 84322, USA.
Andrew KulmatiskiWildland Resources and the Ecology Center, Utah State University, Logan, UT 84322, USA.ORCID 0000-0001-9977-5508
Leslie E ForeroWildland Resources and the Ecology Center, Utah State University, Logan, UT 84322, USA.
Josephine GrenzerWildland Resources and the Ecology Center, Utah State University, Logan, UT 84322, USA.
Jeanette M NortonPlants, Soils and Climate Department and the Ecology Center, Utah State University, Logan, UT 84322, USA.ORCID 0000-0002-6596-8691

Funding

National Science Foundation 1354129Utah Agricultural Experiment Station 9716
6 · The paper itself

Abstract

We used high-throughput sequencing and multivariate analyses to describe soil microbial community composition in two four-year field plant-soil feedback (PSF) experiments in Minnesota, USA and Jena, Germany. In descending order of variation explained, microbial community composition differed between the two study sites, among years, between bulk and rhizosphere soils, and among rhizosphere soils cultivated by different plant species. To try to identify soil organisms or communities that may cause PSF, we correlated plant growth responses with the microbial community composition associated with different plants. We found that plant biomass was correlated with values on two multivariate axes. These multivariate axes weighted dozens of soil organisms, suggesting that PSF was not caused by individual pathogens or symbionts but instead was caused by 'many weak' plant-microbe interactions. Taken together, the results suggest that PSFs result from complex interactions that occur within the context of a much larger soil microbial community whose composition is determined by factors associated with 'site' or year, such as soil pH, soil type, and weather. The results suggest that PSFs may be highly variable and difficult to reproduce because they result from complex interactions that occur in the context of a larger soil microbial community.

Indexed as

field experimentmicrobial communityplant–microbe interactions

Identifiers

PMID37997973
PMCPMC10669423

What OpenQuestion holds

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LicenceCC BY
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.