Evidence map›Paper›PMID 30837457›Full record

ArticleNature communications2019

A theoretical framework for controlling complex microbial communities.

Marco Tulio Angulo, Claude H Moog, Yang-Yu Liu

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Article
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  8. Review
  9. Article
  10. Sparse species interactions reproduce abundance correlation patterns in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. The Diverse Mycorrizal Morphology ofJournal of fungi (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors.

Marco Tulio AnguloCONACyT - Institute of Mathematics, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, 76230, Mexico. mangulo@im.unam.mx.ORCID http://orcid.org/0000-0002-9802-8567
Claude H MoogLaboratoire des Sciences du Numérique de Nantes, UMR CNRS 6004, Nantes, 44321, France.ORCID http://orcid.org/0000-0003-3803-8760
Yang-Yu LiuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA. yyl@channing.harvard.edu.ORCID http://orcid.org/0000-0003-2728-4907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes form complex communities that perform critical roles for the integrity of their environment or the well-being of their hosts. Controlling these microbial communities can help us restore natural ecosystems and maintain healthy human microbiota. However, the lack of an efficient and systematic control framework has limited our ability to manipulate these microbial communities. Here we fill this gap by developing a control framework based on the new notion of structural accessibility. Our framework uses the ecological network of the community to identify minimum sets of its driver species, manipulation of which allows controlling the whole community. We numerically validate our control framework on large communities, and then we demonstrate its application for controlling the gut microbiota of gnotobiotic mice infected with Clostridium difficile and the core microbiota of the sea sponge Ircinia oros. Our results provide a systematic pipeline to efficiently drive complex microbial communities towards desired states.

Indexed as

Models, BiologicalAnimalsClostridioides difficileEcosystemGastrointestinal MicrobiomeGerm-Free LifeHost Microbial InteractionsMicePorifera

Identifiers

PMID30837457
PMCPMC6401173

What OpenQuestion holds

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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.