Evidence map›Paper›PMID 39984516›Full record

ArticleScientific reports2025

Modelling the effects of climate change on the interaction between bacteria and phages with a temperature-dependent lifecycle switch.

Andrew Morozov, Areej Ageel, Anna Bates, Edouard Galyov

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Andrew MorozovUniversity of Leicester, University Rd, Leicester, LE1 7RH, UK. am379@leicester.ac.uk.
Areej AgeelUniversity of Leicester, University Rd, Leicester, LE1 7RH, UK.
Anna BatesUniversity of Leicester, University Rd, Leicester, LE1 7RH, UK.
Edouard GalyovUniversity of Leicester, University Rd, Leicester, LE1 7RH, UK.

Funding

Engineering and Physical Sciences Research Council EP/W522326/1
6 · The paper itself

Abstract

Ongoing climate change and human activities alter the population dynamics of pathogenic bacteria in natural environments, increasing the risk of disease transmission. Among the key mechanisms of amplification of bacteria in the environment is the alteration of the natural control by their enemies, bacteriophages. Using mathematical modelling, we explore how climate change and implementation of certain agricultural practices affect interactions of bacteria with phage exhibiting condition-dependent lysogeny, where the type of phage infection lifecycle is determined by the ambient temperature. As a case study, we model alteration to the control of the pathogenic bacteria Burkholderia pseudomallei by its dominant phage. B. pseudomallei causes melioidosis, which is among the deadliest infections in Southeast Asia and across the tropics. We use historical records for UV radiation and temperature in Thailand covering the period 2009-2023 to assess the density of the phage-free pathogen, capable of causing infection. We also predict phage-pathogen dynamics for the period 2024-2044. We apply both non-spatial and spatial models to mimic B. pseudomallei population dynamics in the surface water of rice fields and in soil. Our models predict a drastic increase in pathogen density due to less efficient control by the phage which is caused by global warming. We also find that some of the current agricultural practices would enhance the risk of acquisition of melioidosis by altering densities of the pathogen in the environment.

Indexed as

BacteriaBacteriophagesBurkholderia pseudomalleiClimate ChangeHumansMelioidosisModels, BiologicalModels, TheoreticalTemperatureThailand

Identifiers

PMID39984516
PMCPMC11845662

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.