Evidence map›Paper›PMID 32676061›Full record

ArticleFrontiers in microbiology2020

Scoring Species for Synthetic Community Design: Network Analyses of Functional Core Microbiomes.

Hirokazu Toju, Masato S Abe, Chiharu Ishii, Yoshie Hori, Hiroaki Fujita, Shinji Fukuda

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Advances in causal discovery methods for ecological time series.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
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  5. Characterization ofJournal of fungi (Basel, Switzerland) · 2026
    Article
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  12. A stable 15-member bacterial SynCom promotesFrontiers in microbiology · 2025
    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 4 institutions in 1 country.

Hirokazu TojuCenter for Ecological Research, Kyoto University, Kyoto, Japan.
Masato S AbeCenter for Advanced Intelligence Project, RIKEN, Tokyo, Japan.
Chiharu IshiiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Yoshie HoriCenter for Ecological Research, Kyoto University, Kyoto, Japan.
Hiroaki FujitaCenter for Ecological Research, Kyoto University, Kyoto, Japan.
Shinji FukudaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Kyoto University · JPKeio University · JPRIKEN Center for Advanced Intelligence Project · JPTsukuba Medical Center Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constructing biological communities is a major challenge in both basic and applied sciences. Although model synthetic communities with a few species have been constructed, designing systems consisting of tens or hundreds of species remains one of the most difficult goals in ecology and microbiology. By utilizing high-throughput sequencing data of interspecific association networks, we here propose a framework for exploring "functional core" species that have great impacts on whole community processes and functions. The framework allows us to score each species within a large community based on three criteria: namely, topological positions, functional portfolios, and functional balance within a target network. The criteria are measures of each species' roles in maximizing functional benefits at the community or ecosystem level. When species with potentially large contributions to ecosystem-level functions are screened, the framework also helps us design "functional core microbiomes" by focusing on properties of species groups (modules) within a network. When embedded into agroecosystems or human gut, such functional core microbiomes are expected to organize whole microbiome processes and functions. An application to a plant-associated microbiome dataset actually highlighted potential functional core microbes that were known to control rhizosphere microbiomes by suppressing pathogens. Meanwhile, an example of application in mouse gut microbiomes called attention to poorly investigated bacterial species, whose potential roles within gut microbiomes deserve future experimental studies. The framework for gaining "bird's-eye" views of functional cores within networks is applicable not only to agricultural and medical data but also to datasets produced in food processing, brewing, waste water purification, and biofuel production.

Indexed as

biodiversitybiosphereshub specieskeystone speciesmetagenomesnetwork theoryspecies interactionssynthetic biology

Identifiers

PMID32676061
PMCPMC7333532
OpenAlexW3035747445

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.