Evidence map›Paper›PMID 29415043›Full record

ArticlePLoS biology2018

Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics.

Devin Kirk, Natalie Jones, Stephanie Peacock, Jessica Phillips, Péter K Molnár, Martin Krkošek, Pepijn Luijckx

Abstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
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  3. How to write a scientific paper in fifteen steps.PLoS computational biology · 2025
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  17. Infection burdens and virulence under heat stress: ecological and evolutionary considerations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  18. Article
  19. Constraining nonlinear time series modeling with the metabolic theory of ecology.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

7 authors.

Devin KirkDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-9588-1004
Natalie JonesDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Stephanie PeacockDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Jessica PhillipsDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Péter K MolnárDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Martin KrkošekDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Pepijn LuijckxDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of host-parasite interactions makes it difficult to predict how host-parasite systems will respond to climate change. In particular, host and parasite traits such as survival and virulence may have distinct temperature dependencies that must be integrated into models of disease dynamics. Using experimental data from Daphnia magna and a microsporidian parasite, we fitted a mechanistic model of the within-host parasite population dynamics. Model parameters comprising host aging and mortality, as well as parasite growth, virulence, and equilibrium abundance, were specified by relationships arising from the metabolic theory of ecology. The model effectively predicts host survival, parasite growth, and the cost of infection across temperature while using less than half the parameters compared to modeling temperatures discretely. Our results serve as a proof of concept that linking simple metabolic models with a mechanistic host-parasite framework can be used to predict temperature responses of parasite population dynamics at the within-host level.

Indexed as

Host Microbial InteractionsModels, BiologicalTemperatureAnimalsClimate ChangeDaphniaEmpirical ResearchMicrosporidiaPopulation DynamicsProof of Concept StudyVirulence

Identifiers

PMID29415043
PMCPMC5819823

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.