Evidence map›Paper›PMID 38678008›Full record

ArticleFEMS microbiology ecology2024

Synergistic effects of plant genotype and soil microbiome on growth in Lotus japonicus.

Masaru Bamba, Turgut Yigit Akyol, Yusuke Azuma, Johan Quilbe, Stig Uggerhøj Andersen, Shusei Sato

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  4. Review
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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.

Masaru BambaGraduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Aoba, Sendai 980-8577, Japan.ORCID 0000-0002-1486-7524
Turgut Yigit AkyolDepartment of Molecular Biology and Genetics, Aarhus University, DK-8000 Aarhus, Denmark.
Yusuke AzumaGraduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Aoba, Sendai 980-8577, Japan.
Johan QuilbeDepartment of Molecular Biology and Genetics, Aarhus University, DK-8000 Aarhus, Denmark.
Stig Uggerhøj AndersenDepartment of Molecular Biology and Genetics, Aarhus University, DK-8000 Aarhus, Denmark.
Shusei SatoGraduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Aoba, Sendai 980-8577, Japan.

Funding

JSPS 21K14763Novo Nordisk Foundation NNF129SA0059362
6 · The paper itself

Abstract

The biological interactions between plants and their root microbiomes are essential for plant growth, and even though plant genotype (G), soil microbiome (M), and growth conditions (environment; E) are the core factors shaping root microbiome, their relationships remain unclear. In this study, we investigated the effects of G, M, and E and their interactions on the Lotus root microbiome and plant growth using an in vitro cross-inoculation approach, which reconstructed the interactions between nine Lotus accessions and four soil microbiomes under two different environmental conditions. Results suggested that a large proportion of the root microbiome composition is determined by M and E, while G-related (G, G × M, and G × E) effects were significant but small. In contrast, the interaction between G and M had a more pronounced effect on plant shoot growth than M alone. Our findings also indicated that most microbiome variations controlled by M have little effect on plant phenotypes, whereas G × M interactions have more significant effects. Plant genotype-dependent interactions with soil microbes warrant more attention to optimize crop yield and resilience.

Indexed as

GenotypeLotusMicrobiotaPlant RootsSoil MicrobiologySoilSoil16S rRNA sequencingcross-inoculation experimentgrowth environmentLotus japonicusplant–microbiome interactionroot microbiome

Identifiers

PMID38678008
PMCPMC11068475

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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.