Evidence map›Paper›PMID 40489496›Full record

ArticlePLoS computational biology2025

Variance in C. elegans gut bacterial load suggests complex host-microbe dynamics.

Satya Spandana Boddu, K Michael Martini, Ilya Nemenman, Nic M Vega

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Satya Spandana BodduDepartment of Physics, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0001-9727-2894
K Michael MartiniDepartment of Physics, Emory University, Atlanta, Georgia, United States of America.
Ilya NemenmanDepartment of Physics, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0003-3024-4244
Nic M VegaDepartment of Physics, Emory University, Atlanta, Georgia, United States of America.

Funding

National Science Foundation #2014173
6 · The paper itself

Abstract

Variation in bacterial composition inside a host is a result of complex dynamics of microbial community assembly, but little is known about these dynamics. To deconstruct the factors that contribute to this variation, we used a combination of experimental and modeling approaches. We found that demographic stochasticity and stationary heterogeneity in the host carrying capacity or bacterial growth rate are insufficient to explain quantitatively the variation observed in our empirical data. Instead, we found that the data can be understood if the host-bacteria system can be viewed as stochastically switching between high and low growth rates phenotypes. This suggests the dynamics are significantly more complex than logistic growth used in canonical models of microbiome assembly. We develop mathematical models of this process that can explain various aspects of our data. We highlight the limitations of snapshot data in describing variation in host-associated communities and the importance of using time-series data along with mathematical models to understand microbial dynamics within a host.

Indexed as

Bacterial LoadCaenorhabditis elegansGastrointestinal MicrobiomeHost Microbial InteractionsAnimalsBacteriaComputational BiologyModels, Biological

Identifiers

PMID40489496
PMCPMC12180659

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.