Evidence map›Paper›PMID 36699129›Full record

ArticleEvolutionary applications2023

Comparison of bacterial suppression by phage cocktails, dual-receptor generalists, and coevolutionarily trained phages.

Joshua M Borin, Justin J Lee, Krista R Gerbino, Justin R Meyer

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Phase variation inEngineering microbiology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Phage Therapy forInfectious disease reports · 2025
    Article
  16. Review
  17. Review
  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 at 1 institution in 1 country.

Joshua M BorinDivision of Biological Sciences University of California San Diego La Jolla California USA.ORCID https://orcid.org/0000-0002-9086-3381
Justin J LeeDivision of Biological Sciences University of California San Diego La Jolla California USA.
Krista R GerbinoDivision of Biological Sciences University of California San Diego La Jolla California USA.
Justin R MeyerDivision of Biological Sciences University of California San Diego La Jolla California USA.
University of California San Diego · US

Funding

GENETIC MECHANISMS AND REGULATIONT32GM007240 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMPTON, RANDOLPH Y. · 1985 to 2019
$23.8M
NIGMS NIH HHS T32 GM007240
6 · The paper itself

Abstract

The evolution and spread of antibiotic-resistant bacteria have renewed interest in phage therapy, the use of bacterial viruses (phages) to combat bacterial infections. The delivery of phages in cocktails where constituent phages target different modalities (e.g., receptors) may improve treatment outcomes by making it more difficult for bacteria to evolve resistance. However, the multipartite nature of cocktails may lead to unintended evolutionary and ecological outcomes. Here, we compare a 2-phage cocktail with a largely unconsidered group of phages: generalists that can infect through multiple, independent receptors. We find that λ phage generalists and cocktails that target the same receptors (LamB and OmpF) suppress

Indexed as

coevolutiongeneralistphage cocktailphage therapyphage trainingresistance

Identifiers

PMID36699129
PMCPMC9850009
OpenAlexW4312059746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.