Evidence map›Paper›PMID 30427935›Full record

ArticlePLoS pathogens2018

Adaptive plasticity in the gametocyte conversion rate of malaria parasites.

Petra Schneider, Megan A Greischar, Philip L G Birget, Charlotte Repton, Nicole Mideo, Sarah E Reece

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  4. Plastic responses ofBiology letters · 2025
    Article
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  6. Phenotypic and fitness consequences of plasticity in the rhythmic replication of malaria parasites.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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  15. Declines in prevalence alter the optimal level of sexual investment for the malaria parasiteProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  19. An induced population ofFrontiers in cellular and infection microbiology · 2022
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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

6 authors at 2 institutions in 2 countries.

Petra SchneiderInstitutes of Evolution, Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-2616-237X
Megan A GreischarDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Philip L G BirgetInstitutes of Evolution, Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8239-5293
Charlotte ReptonInstitutes of Evolution, Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Nicole MideoDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Sarah E ReeceInstitutes of Evolution, Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-6716-6732
University of Edinburgh · GBUniversity of Toronto · CA

Funding

Biotechnology and Biological Sciences Research Council NE/K006029/1Wellcome TrustWellcome Trust 202769/Z/16/Z
6 · The paper itself

Abstract

Sexually reproducing parasites, such as malaria parasites, experience a trade-off between the allocation of resources to asexual replication and the production of sexual forms. Allocation by malaria parasites to sexual forms (the conversion rate) is variable but the evolutionary drivers of this plasticity are poorly understood. We use evolutionary theory for life histories to combine a mathematical model and experiments to reveal that parasites adjust conversion rate according to the dynamics of asexual densities in the blood of the host. Our model predicts the direction of change in conversion rates that returns the greatest fitness after perturbation of asexual densities by different doses of antimalarial drugs. The loss of a high proportion of asexuals is predicted to elicit increased conversion (terminal investment), while smaller losses are managed by reducing conversion (reproductive restraint) to facilitate within-host survival and future transmission. This non-linear pattern of allocation is consistent with adaptive reproductive strategies observed in multicellular organisms. We then empirically estimate conversion rates of the rodent malaria parasite Plasmodium chabaudi in response to the killing of asexual stages by different doses of antimalarial drugs and forecast the short-term fitness consequences of these responses. Our data reveal the predicted non-linear pattern, and this is further supported by analyses of previous experiments that perturb asexual stage densities using drugs or within-host competition, across multiple parasite genotypes. Whilst conversion rates, across all datasets, are most strongly influenced by changes in asexual density, parasites also modulate conversion according to the availability of red blood cell resources. In summary, increasing conversion maximises short-term transmission and reducing conversion facilitates in-host survival and thus, future transmission. Understanding patterns of parasite allocation to reproduction matters because within-host replication is responsible for disease symptoms and between-host transmission determines disease spread.

Indexed as

Adaptation, BiologicalAdaptation, PhysiologicalAnimalsBiological EvolutionComputer SimulationErythrocytesHost-Parasite InteractionsMalariaModels, TheoreticalParasitesPlasmodiumPlasmodium chabaudiReproductionReproduction, Asexual

Identifiers

PMID30427935
PMCPMC6261640
OpenAlexW2901149077

What OpenQuestion holds

Textmetadata
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.