Evidence map›Paper›PMID 39404686›Full record

ArticleAdvances in ecological research2017

Invasions of Host-Associated Microbiome Networks.

Carmen Lia Murall, Jessica L Abbate, Maximilian Puelma Touzel, Emma Allen-Vercoe, Samuel Alizon, Remy Froissart, Kevin McCann

Abstract read
In one paragraph

Article in Advances in ecological research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Carmen Lia MurallLaboratoire MiVEGEC, CNRS, IRD, Montpellier, France.
Jessica L AbbateLaboratoire MiVEGEC, IRD, Montpellier, France.
Maximilian Puelma TouzelEcole Normale Supérieure de Paris, Département de Physique, Paris, France.
Emma Allen-VercoeDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Canada.
Samuel AlizonLaboratoire MiVEGEC, CNRS, IRD, Montpellier, France.
Remy FroissartLaboratoire MiVEGEC, CNRS, IRD, Montpellier, France.
Kevin McCannDepartment of Integrative Biology, University of Guelph, Guelph, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of biological invasions of ecological systems has much to offer research on within-host systems, particularly for understanding infections and developing therapies using biological agents. Thanks to the ground-work established in other fields, such as community ecology and evolutionary biology, and to modern methods of measurement and quantification, the study of microbiomes has quickly become a field at the forefront of modern systems biology. Investigations of host-associated microbiomes (e.g., for studying human health) are often centered on measuring and explaining the structure, functions and stability of these communities. This momentum promises to rapidly advance our understanding of ecological networks and their stability, resilience and resistance to invasions. However, intrinsic properties of host-associated microbiomes that differ from those of free-living systems present challenges to the development of a within-host invasion ecology framework. The elucidation of principles underlying the invasibility of within-host networks will ultimately help in the development of medical applications and help shape our understanding of human health and disease.

Indexed as

colonisationcommunity stabilityimmunity-microbiota interactionsinfectionsmicrobial community dynamicsmicrobiome therapiespolymicrobial interactionswithin-host communities

Identifiers

PMID39404686
PMCPMC7616576

What OpenQuestion holds

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LicenceCC BY-NC
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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.