Evidence map›Paper›PMID 38538313›Full record

ArticleMicrobes and environments2024

Stable States of a Microbial Community Are Formed by Dynamic Metabolic Networks with Members Functioning to Achieve Both Robustness and Plasticity.

Masahiro Honjo, Kenshi Suzuki, Junya Katai, Yosuke Tashiro, Tomo Aoyagi, Tomoyuki Hori, Takashi Okada, Yasuhisa Saito, Hiroyuki Futamata

Open access · diamondAbstract read
In one paragraph

Article in Microbes and environments, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 2 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

9 authors at 5 institutions in 2 countries.

Masahiro HonjoGraduate School of Science and Technology, Shizuoka University.
Kenshi SuzukiMicrobial Ecotechnology, Department of Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo.
Junya KataiDepartment of Applied Chemistry and Biochemical Engineering, Graduate School of Engineering, Shizuoka University.
Yosuke TashiroGraduate School of Science and Technology, Shizuoka University.
Tomo AoyagiEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Tomoyuki HoriEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Takashi OkadaInstitute for Life and Medical Sciences, Kyoto University.
Yasuhisa SaitoDepartment of Mathematics, Shimane University.
Hiroyuki FutamataGraduate School of Science and Technology, Shizuoka University.
Shizuoka University · JPNational Institute of Advanced Industrial Science and Technology · JPKyoto University · JPShimane University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A more detailed understanding of the mechanisms underlying the formation of microbial communities is essential for the efficient management of microbial ecosystems. The stable states of microbial communities are commonly perceived as static and, thus, have not been extensively examined. The present study investigated stabilizing mechanisms, minority functions, and the reliability of quantitative ana-lyses, emphasizing a metabolic network perspective. A bacterial community, formed by batch transferred cultures supplied with phenol as the sole carbon and energy source and paddy soil as the inoculum, was analyzed using a principal coordinate ana-lysis (PCoA), mathematical models, and quantitative parameters defined as growth activity, community-changing activity, community-forming activity, vulnerable force, and resilience force depending on changes in the abundance of operational taxonomic units (OTUs) using 16S rRNA gene amplicon sequences. PCoA showed succession states until the 3

Indexed as

BacteriaMicrobiotaMetabolic Networks and PathwaysReproducibility of ResultsRNA, Ribosomal, 16SRNA, Ribosomal, 16Smetabolic networkplasticityrobustnessstability

Identifiers

PMID38538313
PMCPMC10982111
OpenAlexW4393216050

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.