Evidence map›Paper›PMID 33268659›Full record

ArticleMicrobes and environments2020

Synthetic Bacterial Community of Duckweed: A Simple and Stable System to Study Plant-microbe Interactions.

Hidehiro Ishizawa, Minami Tada, Masashi Kuroda, Daisuke Inoue, Hiroyuki Futamata, Michihiko Ike

Open access · diamondAbstract read
In one paragraph

Article in Microbes and environments, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Learning beyond-pairwise interactions enables the bottom-up prediction of microbial community structure.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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 at 2 institutions in 1 country.

Hidehiro IshizawaDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University.
Minami TadaDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University.
Masashi KurodaDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University.
Daisuke InoueDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University.
Hiroyuki FutamataResearch Institute of Green Science and Technology, Shizuoka University.
Michihiko IkeDivision of Sustainable Energy and Environmental Engineering, Graduate School of Engineering, Osaka University.
Osaka University · JPShizuoka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A complete understanding of the plant microbiome has not yet been achieved due to its complexity and temporal shifts in the community structure. To overcome these issues, we created a synthetic bacterial community of the aquatic plant, duckweed. The synthetic community established with six bacterial strains showed a stable composition for 50 days, which may have been because duckweed maintains a similar physiological status through its clonal reproduction. Additionally, the synthetic community reflected the taxonomic structure of the natural duckweed microbiome at the family level. These results suggest the potential of a duckweed-based synthetic community as a useful model system for examining the community assembly mechanisms of the plant microbiome.

Indexed as

Bacterial Physiological PhenomenaMicrobiotaAraceaeBacteriaEcosystemPhylogenybacterial community assemblyduckweedplant-microbe interactionSynComsynthetic ecology

Identifiers

PMID33268659
PMCPMC7734406
OpenAlexW3109041167

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.