Evidence map›Paper›PMID 41622335›Full record

ArticleJournal of plant research2026

Soil microbial composition and abundance influence the growth of Lotus japonicus.

Chiharu Ota, Masaru Bamba, Shusei Sato, Takashi Tsuchimatsu

Abstract read
In one paragraph

Article in Journal of plant research, 2026. 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

4 authors.

Chiharu OtaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
Masaru BambaFaculty of Agriculture, Shizuoka University, 836 Ohya, Suruga-Ku, Shizuoka, 422-8529, Japan.
Shusei SatoGraduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Aoba-Ku, Sendai, 980-8577, Japan.
Takashi TsuchimatsuDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan. tsuchimatsu@bs.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-1241-9338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In mutualistic symbiosis between plants and bacteria, the abundance and composition of symbiotic bacterial groups in the soil microbiota can be important for plant growth. Here, we focused on the nitrogen-fixing mutualism between Lotus japonicus and nodule bacteria to investigate whether and how much the abundance of symbiotic rhizobia in the soil microbiota of natural environments contributes to variations in host plant growth. An inoculation experiment of soil microbiota revealed extensive variations in plant growth phenotypes, even between microhabitats. We found that the local presence of L. japonicus and the relative abundance of Mesorhizobium bacteria showed positive correlations with plant growth supported by both 16S amplicon sequencing and shotgun metagenome analyses. Among bacteria investigated, the abundance of Mesorhizobium was most strongly associated with plant growth phenotypes, supporting its role as the primary symbiotic rhizobia in natural environments. Given the specificity and the selectivity of plants for favorable rhizobia, legume-rhizobia interactions could trigger a positive plant-soil feedback that enriches favorable rhizobia into the soil surrounding legume plant habitats.

Indexed as

LotusMesorhizobiumMicrobiotaSoil MicrobiologyRhizobiumRNA, Ribosomal, 16SRoot Nodules, PlantSymbiosisRNA, Ribosomal, 16SLegume–rhizobia symbiosisLotus japonicasMesorhizobiumPlant–soil feedbackSoil microbiota

Identifiers

PMID41622335
PMCPMC12992351

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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.