Evidence map›Paper›PMID 37954997›Full record

ArticleFrontiers in plant science2023

Influence of organic plant breeding on the rhizosphere microbiome of common bean (

Hayley E Park, Lucas Nebert, Ryan M King, Posy Busby, James R Myers

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Hayley E ParkDepartment of Horticulture, Oregon State University, Corvallis, OR, United States.
Lucas NebertDepartment of Horticulture, Oregon State University, Corvallis, OR, United States.
Ryan M KingNational Clonal Germplasm Repository, Agricultural Research Service, United States Department of Agriculture, Corvallis, OR, United States.
Posy BusbyDepartment of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States.
James R MyersDepartment of Horticulture, Oregon State University, Corvallis, OR, United States.
Oregon State University · USNational Clonal Germplasm Repository · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We now recognize that plant genotype affects the assembly of its microbiome, which in turn, affects essential plant functions. The production system for crop plants also influences the microbiome composition, and as a result, we would expect to find differences between conventional and organic production systems. Plant genotypes selected in an organic regime may host different microbiome assemblages than those selected in conventional environments. We aimed to address these questions using recombinant inbred populations of snap bean that differed in breeding history. Methods: Rhizosphere microbiomes of conventional and organic common beans ( Results: Bacterial communities significantly varied between organic and conventional breeding histories, while fungal communities varied between breeding histories and parentage. Within the organically-bred populations, a higher abundance of a plant-growth-promoting bacteria, Discussion: The results confirm that the breeding environment of crops can significantly alter the microbiome community composition of progeny. Characterizing changes in microbiome communities and the plant genes instrumental to these changes will provide essential information about how future breeding efforts may pursue microbiome manipulation.

Indexed as

breeding historycrop managementmicrobiomerhizospheresnap bean

Identifiers

PMID37954997
PMCPMC10634438
OpenAlexW4388266567

What OpenQuestion holds

Textmetadata
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.