Evidence map›Paper›PMID 40248762›Full record

ReviewCurrent clinical microbiology reports2025

Bridging Ecology and Microbiomes: Applying Ecological Theories in Host-associated Microbial Ecosystems.

Clara Flores, Sophie Millard, Anna M Seekatz

Abstract readReview
In one paragraph

Review in Current clinical microbiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
  6. Nutrients · 2026
    Article
  7. Review
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  9. Review
  10. Review
  11. Article
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  15. Article
  16. Article
  17. 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.

Clara FloresDepartment of Biological Sciences, Clemson University, Life Sciences Building 157 A, 190 Collings St, Clemson, SC 29634 USA.ORCID 0009-0008-1809-1787
Sophie MillardDepartment of Biological Sciences, Clemson University, Life Sciences Building 157 A, 190 Collings St, Clemson, SC 29634 USA.ORCID 0009-0001-5522-9262
Anna M SeekatzDepartment of Biological Sciences, Clemson University, Life Sciences Building 157 A, 190 Collings St, Clemson, SC 29634 USA.ORCID 0000-0003-2586-7498

Funding

Niche Partitioning of Commensal Clostridia in the GutR35GM150609 · NIGMS · CLEMSON UNIVERSITY · PI Anna Maria Seekatz · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150609
6 · The paper itself

Abstract

Purpose of Review: This review explores the application of classical ecological theory to host-associated microbiomes during initial colonization, maintenance, and recovery. We discuss unique challenges of applying these theories to host-associated microbiomes and host factors to consider going forward. Recent Findings: Recent studies applying community ecology principles to host microbiomes continue to demonstrate a role for both selective and stochastic processes in shaping host-associated microbiomes. However, ecological frameworks developed to describe dynamics during homeostasis do not necessarily apply during diseased or highly perturbed states, where large variations can potentially lead to alternate stable states. Summary: Despite providing valuable insights, the application of ecological theories to host-associated microbiomes has some unique challenges. The integration of host-specific factors, such as genotype or immune dynamics in ecological models or frameworks is crucial for understanding host microbiome assembly and stability, which could improve our ability to predict microbiome outcomes and improve host health.

Indexed as

ColonizationDisturbanceHost microbiomesMicrobial ecologyNeutral theoryNiche theory

Identifiers

PMID40248762
PMCPMC12000275

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.