Evidence map›Paper›PMID 39242585›Full record

ArticleNature communications2024

Using bacterial population dynamics to count phages and their lysogens.

Yuncong Geng, Thu Vu Phuc Nguyen, Ehsan Homaee, Ido Golding

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Counting to two: how phages decide between lysis and lysogeny.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Modeling the phage properties best for therapy.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Quantifying phage infectivity from characteristics of bacterial population dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Review
  20. 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.

Yuncong Geng *Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Thu Vu Phuc Nguyen *Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.ORCID 0000-0002-8400-8880
Ehsan HomaeeDepartment of Physics, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Ido GoldingDepartment of Physics, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA. igolding@illinois.edu.ORCID 0000-0002-4308-4959

Funding

ILLUMINATING CELLULAR INDIVIDUALITY THROUGH BACTERIOPHAGE INFECTION (2nd Period)R35GM140709 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Ido Golding · 2021 to 2026
$2.4M
Alfred P. Sloan Foundation G-2023-19649National Science Foundation (NSF) 2243257NIGMS NIH HHS R35 GM140709
6 · The paper itself

Abstract

Traditional assays for counting bacteriophages and their lysogens are labor-intensive and perturbative to the host cells. Here, we present a high-throughput infection method in a microplate reader, where the growth dynamics of the infected culture is measured using the optical density (OD). We find that the OD at which the culture lyses scales linearly with the logarithm of the initial phage concentration, providing a way of measuring phage numbers over nine orders of magnitude and down to single-phage sensitivity. Interpreting the measured dynamics using a mathematical model allows us to infer the phage growth rate, which is a function of the phage-cell encounter rate, latent period, and burst size. Adding antibiotic selection provides the ability to measure the rate of host lysogenization. Using this method, we found that when E. coli growth slows down, the lytic growth rate of lambda phages decreases, and the propensity for lysogeny increases, demonstrating how host physiology influences the viral developmental program.

Indexed as

Escherichia coliLysogenyAnti-Bacterial AgentsBacteriophage lambdaBacteriophagesModels, BiologicalModels, TheoreticalPopulation DynamicsAnti-Bacterial Agents

Identifiers

PMID39242585
PMCPMC11379933

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.