Evidence map›Paper›PMID 34614202›Full record

ArticleThe New phytologist2022

Soil salinization accelerates microbiome stabilization in iterative selections for plant performance.

William L King, Laura M Kaminsky, Maria Gannett, Grant L Thompson, Jenny Kao-Kniffin, Terrence H Bell

Abstract read
In one paragraph

Article in The New phytologist, 2022. 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

6 authors.

William L KingDepartment of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID 0000-0001-7272-8242
Laura M KaminskyDepartment of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID 0000-0002-4628-4665
Maria GannettSchool of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-2914-7837
Grant L ThompsonSchool of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-6818-2176
Jenny Kao-KniffinSchool of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.ORCID 0000-0002-9469-8088
Terrence H BellDepartment of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID 0000-0003-3603-7270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change-related soil salinization increases plant stress and decreases productivity. Soil microorganisms are thought to reduce salt stress through multiple mechanisms, so diverse assemblages could improve plant growth under such conditions. Previous studies have shown that microbiome selection can promote desired plant phenotypes, but with high variability. We hypothesized that microbiome selection would be more consistent in saline soils by increasing potential benefits to the plants. In both salt-amended and untreated soils, we transferred forward Brassica rapa root microbiomes (from high-biomass or randomly selected pots) across six planting generations while assessing bacterial (16S rRNA) and fungal (ITS) composition in detail. Uniquely, we included an add-back control (re-adding initial frozen soil microbiome) as a within-generation reference for microbiome and plant phenotype selection. We observed inconsistent effects of microbiome selection on plant biomass across generations, but microbial composition consistently diverged from the add-back control. Although salt amendment strongly impacted microbial composition, it did not increase the predictability of microbiome effects on plant phenotype, but it did increase the rate at which microbiome selection plateaued. These data highlight a disconnect in the trajectories of microbiomes and plant phenotypes during microbiome selection, emphasizing the role of standard controls to explain microbiome selection outcomes.

Indexed as

MicrobiotaSoilPlant RootsRhizosphereRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16SSoilartificial selectionmicrobiome breedingphenotype selectionrhizosphereroot microbiomesoil salinity

Identifiers

PMID34614202
PMCPMC9297847

What OpenQuestion holds

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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.