Evidence map›Paper›PMID 36941627›Full record

ArticleMicrobiome2023

Core species and interactions prominent in fish-associated microbiome dynamics.

Daii Yajima, Hiroaki Fujita, Ibuki Hayashi, Genta Shima, Kenta Suzuki, Hirokazu Toju

Open access · goldFull text readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Advances in causal discovery methods for ecological time series.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
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  7. Intestinal Microbial Profiles of Wild Zobaidy (Current issues in molecular biology · 2025
    Article
  8. Article
  9. Article
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  11. Review
  12. Article
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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.

Daii YajimaCenter for Ecological Research, Kyoto University, Otsu, Shiga, 520-2133, Japan.
Hiroaki FujitaCenter for Ecological Research, Kyoto University, Otsu, Shiga, 520-2133, Japan.
Ibuki HayashiCenter for Ecological Research, Kyoto University, Otsu, Shiga, 520-2133, Japan.
Genta ShimaCenter for Ecological Research, Kyoto University, Otsu, Shiga, 520-2133, Japan.
Kenta SuzukiIntegrated Bioresource Information Division, BioResource Research Center, RIKEN, Tsukuba, Ibaraki, 305-0074, Japan.
Hirokazu TojuCenter for Ecological Research, Kyoto University, Otsu, Shiga, 520-2133, Japan. toju.hirokazu.4c@kyoto-u.ac.jp.
Kyoto University · JPRIKEN BioResource Research Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn aquatic ecosystems, the health and performance of fish depend greatly on the dynamics of microbial community structure in the background environment. Nonetheless, finding microbes with profound impacts on fish's performance out of thousands of candidate species remains a major challenge.

methodsWe examined whether time-series analyses of microbial population dynamics could illuminate core components and structure of fish-associated microbiomes in the background (environmental) water. By targeting eel-aquaculture-tank microbiomes as model systems, we reconstructed the population dynamics of the 9605 bacterial and 303 archaeal species/strains across 128 days.

resultsDue to the remarkable increase/decrease of constituent microbial population densities, the taxonomic compositions of the microbiome changed drastically through time. We then found that some specific microbial taxa showed a positive relationship with eels' activity levels even after excluding confounding effects of environmental parameters (pH and dissolved oxygen level) on population dynamics. In particular, a vitamin-B

conclusionsOverall, these results suggest that the integration of microbiology, ecological theory, and network science allows us to explore core species and interactions embedded within complex dynamics of fish-associated microbiomes.  Video Abstract.

Indexed as

MicrobiotaAnimalsAquacultureArchaeaBacteriaFishesAlternative stable statesBiodiversityBiological communitiesCommunity collapseCommunity stabilityDysbiosisEdwardsiellaKeystone speciesMicrobiome dynamicsNonlinear dynamics

Identifiers

PMID36941627
PMCPMC10026521
OpenAlexW4327971358

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.