Evidence map›Paper›PMID 27271841›Full record

ArticleEvolution; international journal of organic evolution2016

Predicting optimal transmission investment in malaria parasites.

Megan A Greischar, Nicole Mideo, Andrew F Read, Ottar N Bjørnstad

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. 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
  7. Review
  8. Article
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  11. Article
  12. Article
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  15. ProbingWellcome open research · 2018
    Article
  16. Article
  17. What is a vector?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    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.

Megan A GreischarCenter For Infectious Disease Dynamics, Departments of Entomology and Biology, The Pennsylvania State University, University Park, Pennsylvania 16802. megan.greischar@utoronto.ca.
Nicole MideoDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada.
Andrew F ReadCenter For Infectious Disease Dynamics, Departments of Entomology and Biology, The Pennsylvania State University, University Park, Pennsylvania 16802.
Ottar N BjørnstadCenter For Infectious Disease Dynamics, Departments of Entomology and Biology, The Pennsylvania State University, University Park, Pennsylvania 16802.

Funding

The evolutionary biology of chemotherapy against infectious agents: towards ratiR01GM089932 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM089932
6 · The paper itself

Abstract

In vertebrate hosts, malaria parasites face a tradeoff between replicating and the production of transmission stages that can be passed onto mosquitoes. This tradeoff is analogous to growth-reproduction tradeoffs in multicellular organisms. We use a mathematical model tailored to the life cycle and dynamics of malaria parasites to identify allocation strategies that maximize cumulative transmission potential to mosquitoes. We show that plastic strategies can substantially outperform fixed allocation because parasites can achieve greater fitness by investing in proliferation early and delaying the production of transmission stages. Parasites should further benefit from restraining transmission investment later in infection, because such a strategy can help maintain parasite numbers in the face of resource depletion. Early allocation decisions are predicted to have the greatest impact on parasite fitness. If the immune response saturates as parasite numbers increase, parasites should benefit from even longer delays prior to transmission investment. The presence of a competing strain selects for consistently lower levels of transmission investment and dramatically increased exploitation of the red blood cell resource. While we provide a detailed analysis of tradeoffs pertaining to malaria life history, our approach for identifying optimal plastic allocation strategies may be broadly applicable.

Indexed as

Host-Parasite InteractionsAnimalsCulicidaeGenetic FitnessMalariaModels, BiologicalPlasmodiumPopulation DynamicsReproductionCoinfectionmalariareproductive restrainttransmission investmentvirulence

Identifiers

PMID27271841
PMCPMC4991358

What OpenQuestion holds

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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.